Collection Download Video Courses ,Tutorials , Tranining , e-Learning (Updated daily)

[WarezDownload]

Free Download Building Recommendation Engine With Machine Learning & Rag
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 3h 21m
Learn how to build product, movie, music recommendation engines using Tensorflow, Keras, Surprise, SVD, and RAG

What you'll learn
Learn the basic fundamentals of recommendation engine, such as getting to know its use cases, technical limitations, RAG implementation in recommendation system
Learn how to build product recommendation engine using Tensorflow and Keras
Learn how to build movie recommendation engine using Surprise
Learn how to build music recommendation engine using retrieval augmented generation
Learn how to build product recommendation engine using TFIDF Vectorizer and Cosine Similarity
Learn how to build search based recommendation engine using RAG
Learn how recommendation engines work. This section cover, data collection, preprocessing, feature selection, model training, model evaluation, and deployment
Learn how to perform feature selection for product recommendation engine
Learn how to perform feature selection for movie recommendation engine
Learn how to build and train collaborative filtering model
Learn how to load RAG model and create Facebook AI Similarity Search index
Learn how to build user interface for recommendation engine using Gradio and Streamlit
Learn how to test and deploy recommendation engine on Hugging Face
Learn how to download dataset using Kaggle Hub API
Requirements
No previous experience in machine learning is required
Basic knowledge in Python
Description
Welcome to Building Recommendation Engine with Machine Learning & RAG course. This is a comprehensive project based course where you will learn how to build intelligent recommendation systems using Tensorflow, Surprise and Retrieval Augmented Generation. This course is a perfect combination between Python and machine learning, making it an ideal opportunity to level up your programming skills while improving your technical knowledge in software development. In the introduction session, you will learn the basic fundamentals of recommendation engine, such as getting to know its use cases, technical limitations, and also learn how retrieval augmented generation can be used to improve your recommendation system. Then, in the next section, you will learn step by step how a recommendation engine works. This section covers data collection, data preprocessing, feature selection, model selection, model training, model evaluation, deployment, monitoring, and maintenance. Afterward, you will also learn how to find and download datasets from Kaggle, it is a platform that offers many high quality datasets from various industries. Once everything is ready, we will start the project. Firstly, we are going to build a product recommendation engine using TensorFlow, it will have the capability of suggesting relevant products to users based on their browsing and purchase history. This recommendation engine will be able to analyze user behavior, extract meaningful patterns, and generate personalized product recommendations in real time. By implementing this system, businesses can enhance customer engagement, increase conversion rates, and optimize the shopping experience through intelligent suggestions. In the next section, we are going to build a movie recommendation engine using Surprise, which will help users discover films they might enjoy based on their past ratings and preferences. This recommendation engine will utilize collaborative filtering techniques to find similarities between users and movies, delivering highly personalized recommendations. With this approach, we can improve content discovery, keep users engaged, and drive higher retention rates for streaming platforms. Following that, we are also going to build a music recommendation engine using Retrieval Augmented Generation that is able to provide dynamic and context aware song recommendations. This recommendation engine will be able to enhance traditional recommendation methods by incorporating real-time external knowledge, improving the accuracy and diversity of song suggestions. Lastly, at the end of the course, we will conduct testing to evaluate the performance of our recommendation engines. After ensuring optimal model performance, we will deploy the recommendation system to Hugging Face Space, where users can select a few initial movies as input, allowing the model to process real-time data and generate personalized recommendations based on learned patterns and similarities.Before getting into the course, we need to ask this question to ourselves, why should we build a recommendation engine using machine learning? Well, here is my answer, by leveraging machine learning, businesses can offer smarter, more personalized recommendations that keep customers engaged, increase sales, and improve loyalty. Meanwhile, from users perspective, they can benefit from a seamless experience, where they receive valuable recommendations effortlessly, saving time and effort in finding what suits their needs.Below are things that you can expect to learn from this course:Learn the basic fundamentals of recommendation engine, such as getting to know its use cases, technical limitations, and RAG implementation in recommendation systemLearn how recommendation engines work. This section cover, data collection, preprocessing, feature selection, model training, model evaluation, and deploymentLearn how to download dataset using Kaggle Hub APILearn how to perform feature selection for product recommendation engineLearn how to build product recommendation engine using Tensorflow and KerasLearn how to build product recommendation engine using TFIDF Vectorizer and Cosine SimilarityLearn how to perform feature selection for movie recommendation engineLearn how to build movie recommendation engine using SurpriseLearn how to build and train collaborative filtering modelLearn how to build music recommendation engine using retrieval augmented generationLearn how to load RAG model and create Facebook AI Similarity Search indexLearn how to build search based recommendation engine using RAGLearn how to build user interface for recommendation engine using Gradio and StreamlitLearn how to test and deploy recommendation engine on Hugging Face
Software engineers who are interested in building recommendation engine using machine learning,Data scientists who are interested in transforming customer data into relevant product recommendations

Homepage:

https://www.udemy.com/course/building-recommendation-engine-with-machine-learning-rag/

AusFile
https://ausfile.com/6km5cel8vplo/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part1.rar.html
https://ausfile.com/2aecmc10y8cf/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part2.rar.html
Rapidgator
https://rg.to/file/bbd14b547dd77a01b4e7e7b0dfbf60a4/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part1.rar.html
https://rg.to/file/d07abbcf7256d5cf42f80a1b783b185d/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part2.rar.html
Fikper Free Download
https://fikper.com/4knwY1Q6Pl/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part1.rar.html
https://fikper.com/arYoJYvJuL/llxxk.Building.Recommendation.Engine.With.Machine.Learning..Rag.part2.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Complete Computer Vision Bootcamp With Pytoch & Tensorflow
Published: 3/2025
Created by: Krish Naik,Sourangshu Pal,Monal kumar,KRISHAI Technologies Private Limited
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 175 Lectures ( 51h 46m ) | Size: 27.5 GB

Learn Computer Vision with CNN, TensorFlow, and PyTorch - Master Object Detection from Basics to Advanced
What you'll learn
Master CNN concepts from basics to advanced with TensorFlow & PyTorch.
Learn object detection models like YOLO and Faster R-CNN.
Implement real-world computer vision projects step-by-step.
Gain hands-on experience with data preprocessing and augmentation.
Build custom CNN models for various computer vision tasks.
Master transfer learning with pre-trained models like ResNet and VGG
Gain practical skills with TensorFlow and PyTorch libraries
Requirements
Basic understanding of Python programming.
Familiarity with fundamental machine learning concepts.
Knowledge of basic linear algebra and calculus.
Understanding of image data and its structure.
Enthusiasm to learn computer vision with hands-on projects.
Description
In this comprehensive course, you will master the fundamentals and advanced concepts of computer vision, focusing on Convolutional Neural Networks (CNN) and object detection models using TensorFlow and PyTorch. This course is designed to equip you with the skills required to build robust computer vision applications from scratch.What You Will LearnThroughout this course, you will gain expertise in:Introduction to Computer VisionUnderstanding image data and its structure.Exploring pixel values, channels, and color spaces.Learning about OpenCV for image manipulation and preprocessing.Deep Learning Fundamentals for Computer VisionIntroduction to Neural Networks and Deep Learning concepts.Understanding backpropagation and gradient descent.Key concepts like activation functions, loss functions, and optimization techniques.Convolutional Neural Networks (CNN)Introduction to CNN architecture and its components.Understanding convolution layers, pooling layers, and fully connected layers.Implementing CNN models using TensorFlow and PyTorch.Data Augmentation and PreprocessingTechniques for improving model performance through data augmentation.Using libraries like imgaug, Albumentations, and TensorFlow Data Pipeline.Transfer Learning for Computer VisionUtilizing pre-trained models such as ResNet, VGG, and EfficientNet.Fine-tuning and optimizing transfer learning models.Object Detection ModelsExploring object detection algorithms like:YOLO (You Only Look Once)SSD (Single Shot MultiBox Detector)Faster R-CNNImplementing these models with TensorFlow and PyTorch.Image Segmentation TechniquesUnderstanding semantic and instance segmentation.Implementing U-Net and Mask R-CNN models.Real-World Projects and ApplicationsBuilding practical computer vision projects such as:Face detection and recognition system.Real-time object detection with webcam integration.Image classification pipelines with deployment.Who Should Enroll?This course is ideal for:Beginners looking to start their computer vision journey.Data scientists and ML engineers wanting to expand their skill set.AI practitioners aiming to master object detection models.Researchers exploring computer vision techniques for academic projects.Professionals seeking practical experience in deploying CV models.PrerequisitesBefore enrolling, ensure you have:Basic knowledge of Python programming.Familiarity with fundamental machine learning concepts.Basic understanding of linear algebra and calculus.Hands-on Learning with Real ProjectsThis course emphasizes practical learning through hands-on projects. Each module includes coding exercises, project implementations, and real-world examples to ensure you gain valuable skills.By the end of this course, you will confidently build, train, and deploy computer vision models using TensorFlow and PyTorch. Whether you are a beginner or an experienced practitioner, this course will empower you with the expertise needed to excel in the field of computer vision.Enroll now and take your computer vision skills to the next level!
Who this course is for
Beginners eager to learn computer vision from scratch.
Data scientists looking to expand their skill set with CNN and object detection.
AI and ML engineers aiming to build computer vision models.
Researchers and students exploring deep learning for visual tasks.
Professionals interested in deploying real-world CV applications
Homepage:

https://www.udemy.com/course/complete-computer-vision-bootcamp-with-pytoch-tensorflow/

AusFile
https://ausfile.com/6bfoscdlwnoj/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part01.rar.html
https://ausfile.com/jsczlvj7pinm/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part02.rar.html
https://ausfile.com/p0moluddgau5/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part03.rar.html
https://ausfile.com/fhd4s1e7q5s2/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part04.rar.html
https://ausfile.com/9iazi605nnyf/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part05.rar.html
https://ausfile.com/cz6bcx8cu71o/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part06.rar.html
https://ausfile.com/p6jpum8nhqfe/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part07.rar.html
https://ausfile.com/55mb0lrr9tcb/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part08.rar.html
https://ausfile.com/baoojt7wmbmq/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part09.rar.html
https://ausfile.com/tklvrojyku2l/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part10.rar.html
https://ausfile.com/cm0elozyma85/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part11.rar.html
https://ausfile.com/649528utajz9/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part12.rar.html
https://ausfile.com/up3kgtetyyqi/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part13.rar.html
https://ausfile.com/wat295gxfrcn/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part14.rar.html
https://ausfile.com/rferv1ebzgx0/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part15.rar.html
https://ausfile.com/1x233fjdbfof/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part16.rar.html
https://ausfile.com/yqzmb2twkdp4/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part17.rar.html
https://ausfile.com/w8kwkx8cg99s/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part18.rar.html
https://ausfile.com/2a1zglxtc4fa/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part19.rar.html
https://ausfile.com/xaxz5tdelk6j/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part20.rar.html
https://ausfile.com/y0pshurq9lwb/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part21.rar.html
https://ausfile.com/6tbfzjl12j84/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part22.rar.html
https://ausfile.com/qc16ttj8froe/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part23.rar.html
https://ausfile.com/fdeldpyi2vm5/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part24.rar.html
https://ausfile.com/vyhhsmsknvq0/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part25.rar.html
https://ausfile.com/w9r34op4e8tp/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part26.rar.html
https://ausfile.com/s8pi7k3pcgki/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part27.rar.html
https://ausfile.com/gh3nk7t030q6/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part28.rar.html
https://ausfile.com/bmqkf1jqvogf/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part29.rar.html
Rapidgator
https://rg.to/file/ce29898a1ec952a3727880f4883fa372/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part01.rar.html
https://rg.to/file/f9a47b9d884000d2f58b7ee597843424/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part02.rar.html
https://rg.to/file/fb0ec3bbf23afd20a1a864c87d6531be/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part03.rar.html
https://rg.to/file/38e2897adb5bd25c83bb04f38faaa87c/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part04.rar.html
https://rg.to/file/b04f6eb9a9fc810294e9d6cfae1c9f3a/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part05.rar.html
https://rg.to/file/ba687c2c2a212603bb81cedf29707035/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part06.rar.html
https://rg.to/file/013b94fb42762de61ea1b74901633cea/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part07.rar.html
https://rg.to/file/0a1e66dc8c558879ece12bf6514277e2/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part08.rar.html
https://rg.to/file/a0ad071743fe900cc9411768992b9ed6/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part09.rar.html
https://rg.to/file/7f39c185dc1c5a62f4e02abd6dc7c34e/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part10.rar.html
https://rg.to/file/e670ca88da6284020b883087a3e846aa/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part11.rar.html
https://rg.to/file/2fdcaa8e371be58f81060e5174eb765e/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part12.rar.html
https://rg.to/file/e3a083542f3366fadd7d1f72331c108a/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part13.rar.html
https://rg.to/file/5339017da7d28a666ba3915d5bd409a1/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part14.rar.html
https://rg.to/file/d0e251af99b9cfbd8ec754d8ae193c52/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part15.rar.html
https://rg.to/file/94ed46ec3b05fc830f8bfc2ab716d935/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part16.rar.html
https://rg.to/file/bc7ddf0b6acee1f8559c7707d80d8587/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part17.rar.html
https://rg.to/file/0e034915025886fde5805309591211f7/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part18.rar.html
https://rg.to/file/840bae7fa6f15ec1be173a0253a365d1/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part19.rar.html
https://rg.to/file/6597010cdbaf1f5e9718a861832de8d7/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part20.rar.html
https://rg.to/file/1907d5fc985670d1c05213e39d768f10/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part21.rar.html
https://rg.to/file/31c5eca624f16c69d2b60b466b26ce00/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part22.rar.html
https://rg.to/file/2a6483c95ea0035b17ca9ab195993adf/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part23.rar.html
https://rg.to/file/aa3b42dd299c4af24e6f260696a3733c/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part24.rar.html
https://rg.to/file/3db02371e198a60c1b8be6f063d1227f/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part25.rar.html
https://rg.to/file/202ff6f1245c97fd8973acb75367b06d/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part26.rar.html
https://rg.to/file/2ca2c6d71757d68fb7d5127fa27e87e0/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part27.rar.html
https://rg.to/file/62ba81ee659140d854fdf2533bd51cfc/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part28.rar.html
https://rg.to/file/ca120b6a7189c0ab5c52525dfdda3125/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part29.rar.html
Fikper Free Download
https://fikper.com/zSEbJX8wg8/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part01.rar.html
https://fikper.com/2Y7JW5vlqj/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part02.rar.html
https://fikper.com/C3QbCVOx4G/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part03.rar.html
https://fikper.com/MzgDv1D8yn/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part04.rar.html
https://fikper.com/XOpDTjGmFF/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part05.rar.html
https://fikper.com/UTYp2GyOte/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part06.rar.html
https://fikper.com/osI9IBqF2J/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part07.rar.html
https://fikper.com/cxACVaCKO8/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part08.rar.html
https://fikper.com/0fX1loNjrJ/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part09.rar.html
https://fikper.com/4GBT8KGlhk/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part10.rar.html
https://fikper.com/CQjw3RIUUs/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part11.rar.html
https://fikper.com/5ow2ghturh/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part12.rar.html
https://fikper.com/FL47BBojyq/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part13.rar.html
https://fikper.com/2PLzKKxNFQ/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part14.rar.html
https://fikper.com/iOsusj51Pi/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part15.rar.html
https://fikper.com/VcAboJy3Pk/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part16.rar.html
https://fikper.com/5s9jGOx5mb/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part17.rar.html
https://fikper.com/MSwRXSzDVv/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part18.rar.html
https://fikper.com/f3zCrDPThp/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part19.rar.html
https://fikper.com/l8MbDTJwVm/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part20.rar.html
https://fikper.com/JVEcB35Fkh/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part21.rar.html
https://fikper.com/t71ZS3EaLV/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part22.rar.html
https://fikper.com/w6ZlcHoyU0/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part23.rar.html
https://fikper.com/B2533XWWV6/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part24.rar.html
https://fikper.com/5gXBuQtURK/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part25.rar.html
https://fikper.com/OyiGnED0q9/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part26.rar.html
https://fikper.com/7045LP85kK/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part27.rar.html
https://fikper.com/PV44yFmaF2/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part28.rar.html
https://fikper.com/ZvRoWl0kKp/kiiow.Complete.Computer.Vision.Bootcamp.With.Pytoch..Tensorflow.part29.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download DeepSeek AI MasterclassBuild, Automate, Monetize Like a Pro
Published: 3/2025
Created by: Chetan Pujari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 35m ) | Size: 1.55 GB

Unlock AI's Full Potential: Master DeepSeek for Business Growth, Productivity Hacks, and Passive Income Streams.
What you'll learn
Master DeepSeek's Core Features: Unlock its full potential for business, creativity, and automation-outperform tools like ChatGPT.
Build AI-Powered Websites: Create stunning landing pages and apps with DeepSeek's coding capabilities for business growth.
Automate Repetitive Tasks: Streamline workflows, save hours, and boost productivity with AI-powered task automation.
Predict Trends with AI: Use DeepSeek's predictive analytics to analyze data patterns and forecast market trends accurately.
Craft Data-Driven Strategies: Generate actionable insights and interpret AI reports to make smarter business decisions.
Customize AI for Marketing: Tailor DeepSeek to create industry-specific marketing strategies that drive results.
Solve Problems Like a Pro: Master advanced problem-solving techniques using DeepSeek's AI reasoning capabilities.
Create Viral Content: Leverage DeepSeek for blogs, social media, and campaigns that captivate audiences and drive engagement.
Monetize AI Skills: Sell digital products, AI agents, and subscription services to build scalable income streams.
Ethical AI Practices: Understand the ethics of AI automation and use DeepSeek responsibly in your industry.
Master Prompt Engineering: Learn advanced techniques like Chain-of-Thought and Few-Shot Learning for precise AI outputs.
Build AI Agents: Automate customer support, data analysis, and workflows with custom AI agents.
Optimize Digital Marketing: Use DeepSeek for SWOT analysis, competitor research, and audience-specific content creation.
Enhance Email Campaigns: Create high-converting email sequences and optimize cold outreach with AI insights.
Compare AI Tools: Evaluate DeepSeek against ChatGPT, Gemini, and Claude to choose the best tool for your needs.
Hands-On Projects: Apply skills through real-world case studies and interactive exercises for immediate impact.
Future-Proof Your Career: Gain in-demand AI skills to stay ahead in the fast-evolving tech landscape.
Unlock Advanced Features: Explore DeepSeek's hidden tools to maximize performance and efficiency.
Build Your AI Brand: Position yourself as an AI expert and attract clients with cutting-edge skills.
Automate Life Hacks: Use DeepSeek for personal tasks like meal planning, fitness tracking, and finance management.
Requirements
A computer and internet connection.
Curiosity-no AI experience needed.
Ambition to turn knowledge into action.
Description
Artificial intelligence isn't just the future-it's the now. Whether you're a professional drowning in tasks, an entrepreneur hungry for scalable solutions, or a creative seeking to amplify your impact, DeepSeek is your ultimate co-pilot. This course isn't just about using AI-it's about dominating it.Join me in this hands-on, no-fluff journey where you'll learn to wield DeepSeek like a seasoned expert. From crafting viral social media campaigns to building profitable AI-driven businesses, this course is your blueprint to automate, innovate, and dominate in the AI era.What You'll MastereepSeek Foundationsemystify AI: Understand models, APIs, and prompts in plain language-no jargon.Choose Your Tool Like a Pro: Master when (and why) to use DeepSeek's web interface, local installation (hello, privacy!), or API for maximum power.Setup Secrets: Navigate the platform with confidence-from sign-up to advanced workflows.Advanced Prompt Engineering:Become a Prompt Wizard: Chain-of-Thought, Few-Shot Learning, role-playing prompts-turn abstract ideas into precise AI commands.Solve Problems Like a Detective: Teach AI to reason, analyze, and deliver exactly what you need.500+ Ready-to-Use Prompt Templates: Skip the guesswork-steal frameworks for blogs, marketing copy, data analysis, and more.Real-World Applications:Content Creation Domination: Transform blank pages into polished blogs, social media virality, and marketing copy that converts.Automate Your Life: Streamline workflows, crush task management, and integrate DeepSeek with tools like Zapier and Slack.Data to Dollars: Extract insights, predict trends, and make decisions faster than competitors.Monetize Your Skills:Sell AI Services: Package AI agents as subscriptions (SEO, content creation, customer support).Digital Products Made Easy: Create & sell eBooks, templates, and automated systems-passive income, unlocked.25+ Business Ideas: From freelancing to scaling agencies-profit from AI's hottest opportunities.Ethics & Future-Proofing:Navigate AI Responsibly: Balance automation with ethics-rights, privacy, and workplace impact.Future-Proof Your Career: Tap into AI job markets and stay ahead of the curve.EXTRA: Exclusive Hakes:Life Hacks with DeepSeek: Automate meal plans, fitness tracking, and personal finance.Build Your AI Brand: Position yourself as an AI thought leader-land clients, and grow influence.Custom Model Training: Tailor DeepSeek to niche industries (healthcare, finance, e-commerce).Who this course is for :Professionals: 10x productivity-automate reports, emails, and data crunching.Entrepreneurs: Scale without hiring-let AI handle marketing, analytics, and operations.Creatives & Freelancers: Charge premium rates for AI-powered content, SEO, and social media magic.Career Changers: Break into AI-no coding required.Ethical Innovators: Lead the AI revolution with integrity.What You'll Get:Step-by-Step Playbooks: Install DeepSeek locally, build AI agents, monetize-no step skipped.Real-World Projects: Create a blog from scratch, design a viral campaign, automate a business workflow.Prompt Engineering Toolkit: 500+ prompts for every niche-marketing, tech, healthcare, finance.Lifetime Access: Updates on new DeepSeek features and AI trends.Why This Course Stands Out:Other courses teach basics-this one turns you into a strategist. You'll learn not just how to use DeepSeek, but how to think with it. By blending technical mastery with ethical frameworks and monetization tactics, you'll leave not just skilled-but unstoppable.Enroll Now - Your AI Evolution Starts Today!The AI race isn't slowing down. Those who adapt now will lead tomorrow. With a 30-day money-back guarantee, there's zero risk-just a lifetime of opportunity.Click "Enroll Now" and let's build your AI-powered future-together.
Who this course is for
Professionals seeking to automate workflows and reclaim 10+ hours/week.
Entrepreneurs ready to scale with AI-driven marketing, analytics, and customer solutions.
Freelancers wanting to offer cutting-edge AI services (content, SEO, automation).
Career-driven individuals pivoting to AI roles.
Anyone tired of surface-level AI tutorials-ready to go deep.
Homepage:

https://www.udemy.com/course/deepseek-ai-masterclassbuild-automate-monetize-like-a-pro/

AusFile
https://ausfile.com/d6as4h0tpgex/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part1.rar.html
https://ausfile.com/5me70dmtpw64/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part2.rar.html
Rapidgator
https://rg.to/file/e3cd04db269ade8a47fc85867eac4897/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part1.rar.html
https://rg.to/file/586b3bfb0374208adc1b0ce7f4d59e92/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part2.rar.html
Fikper Free Download
https://fikper.com/JZDt1kyn0p/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part1.rar.html
https://fikper.com/0HOhYeKCiD/ikxmk.DeepSeek.AI.MasterclassBuild.Automate.Monetize.Like.a.Pro.part2.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Flutter Advanced Course - Clean Architecture With MVVM
Last updated: 9/2024
Created by: Mina Farid
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 180 Lectures ( 20h 30m ) | Size: 11.4 GB

Become a job ready flutter developer.
What you'll learn
Clean Architecture Design Pattern
MVVM - Model - View - View Model Pattern
ViewModel Inputs and Outputs
Base ViewModel and Base UseCase
Application Layer - Dependency Injection, Routes Manager and Application class
Application Layer - Extensions and Shared Functions
Data Layer - Data Sources (Remote Data Source/ Local Data Source)
Data Layer - API Service Client (Same as Retorfit in Android)
Data Layer - Calling APIs (Remote Data Source)
Data Layer - Adding Logger Interceptor
Data Layer - Caching APIs responses (Local Data Source)
Data Layer - Json Serialization and Annotations
Data Layer - Repository Implementation
Data Layer - Mapper (Converting responses into Models)
Data Layer - Mapper (Using toDomain Concept)
Data Layer - Applying Null Safety
Data Layer - Creating Mock APIs (Stub APIs)
Domain Layer - Models
Domain Layer - Repository Interfaces
Domain Layer - UseCases
Domain Layer - Either Concepts (Left - Failure) / (Right - Success)
Domain Layer - Data Classes
Presentation Layer - UI (Splash - Onboarding - Login - Register - Forgot Password - Main - Details - Settings - Notification - Search))
Presentation Layer - State Renderer (Full Screen States - Popup States)
Presentation Layer - State Management (Stream Controller - RX Dart - Stream Builder)
Presentation Layer - Localisations (English - Arabic), (RTL - LTR)
Presentation Layer - Assets Manager (Android and Ios Icons and Images sizes)
Presentation Layer - (Fonts - Styles - Themes - Strings - Values - Colors) Managers
Presentation Layer - Using Json Animations
Presentation Layer - Using SVG images
Using 18 Flutter Packages
Getting Device Info (Android - Ios)
Using Abstract classes
Requirements
Dart and Flutter Knowlege is a MUST
Install Android Studio or Visual Studio and have Flutter SDK ready
Description
Flutter is defined as the Google's UI toolkit for building beautiful, natively compiled applications for mobile (Android, iOS ) desktop (Linux, Mac, Windows, Google Fuchsia) and the web from a single codebase. Since Flutter is cross-platform, you can use the same code base for your iOS and Android app. This can definitely save you both time and resources. This course will help you to move from junior developer to experienced developer. You will have the knowledge of "How to implement a structured project?". Your code will be easily readable, maintainable and sustainable. You will get a real experience from a real project so that you will start coding from scratch to build clean architecture project with MVVM. You will build presentation layer, data layer, domain layer and application layer step by step. This architecture is designed to make it easier to create stable apps even when outer elements such as UI, databases, or external APIs are always changing. It's essentially a collection of best practice design principles that help you keep business logic, or domain logic, together and minimize the dependencies within the system. After completing this course you can reuse the source code of this course and customize on it to build your clean architecture with MVVM project in a professional way.
Who this course is for
Developer who already has a knowledge in dart and flutter
Beginner and Junior developer who wants to master flutter
Developer who is searching for advanced topics in flutter
Developer who needs to create a structured project with clean architecture and MVVM
Developer who took beginner courses and still needs more
Developer who needs a course to become a job ready flutter developer
Homepage:

https://www.udemy.com/course/flutter-advanced-course-clean-architecture-with-mvvm/

AusFile
https://ausfile.com/dajb9xbwxxv7/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part01.rar.html
https://ausfile.com/xhbfwc5p0hsg/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part02.rar.html
https://ausfile.com/dnt2l9oc8sk1/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part03.rar.html
https://ausfile.com/xe7lcordxj9n/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part04.rar.html
https://ausfile.com/nysqbh1hl84t/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part05.rar.html
https://ausfile.com/n1ygs434h8oz/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part06.rar.html
https://ausfile.com/rxj27s8h7a4e/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part07.rar.html
https://ausfile.com/gnz1betzpe27/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part08.rar.html
https://ausfile.com/aengqq56m2u4/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part09.rar.html
https://ausfile.com/l9mk0lj9um8w/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part10.rar.html
https://ausfile.com/qe1ibf6s8w03/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part11.rar.html
https://ausfile.com/x87937q0n4s7/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part12.rar.html
Rapidgator
https://rg.to/file/e20b7a87a0adf4f3ee86cf5cf8f5701e/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part01.rar.html
https://rg.to/file/28591b4ebab5ba3ee78471522194cd7e/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part02.rar.html
https://rg.to/file/62ba5843fa52b49376c6ba52180f49d8/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part03.rar.html
https://rg.to/file/59a3533b837595cbd4b2cb0154da3d20/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part04.rar.html
https://rg.to/file/d16c3127061346479a683132fbd38f50/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part05.rar.html
https://rg.to/file/3d297a7bc8e886a9a6e368da73759b41/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part06.rar.html
https://rg.to/file/27128d4fcc7ef5c60ed8456b69333552/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part07.rar.html
https://rg.to/file/c4a71b9bb192c456a7fe78cd7c0d2a48/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part08.rar.html
https://rg.to/file/ee4a06f7627898a9853454d022d1f338/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part09.rar.html
https://rg.to/file/25deced1106023acc8ddca61a9fc4f46/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part10.rar.html
https://rg.to/file/803a2473f7ec80837cee870eab806c51/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part11.rar.html
https://rg.to/file/50f3e6bcb4b85f9145c05821da6848fb/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part12.rar.html
Fikper Free Download
https://fikper.com/Lcww0jiS2f/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part01.rar.html
https://fikper.com/kzB3KPPzo3/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part02.rar.html
https://fikper.com/e9iCf3JFxI/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part03.rar.html
https://fikper.com/mrVHH7QjGI/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part04.rar.html
https://fikper.com/9N7N4ULsuw/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part05.rar.html
https://fikper.com/U2PndupujD/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part06.rar.html
https://fikper.com/7k1Y4rU9Rx/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part07.rar.html
https://fikper.com/GGcMuj7c5Y/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part08.rar.html
https://fikper.com/MjXihXf7Gv/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part09.rar.html
https://fikper.com/c2GgudwpV6/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part10.rar.html
https://fikper.com/3taqJWzm0M/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part11.rar.html
https://fikper.com/L8VwMpiSKK/kinjr.Flutter.Advanced.Course..Clean.Architecture.With.MVVM.part12.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download FrontendMasters - Intermediate React, v6 By Brian Holt
Released 3/2025
By Brian Holt
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7 Lessons ( 7h 22m ) | Size: 1.12 GB

Spend a two days learning Intermediate React with Brian Holt.
Key Takeaways
By participating along with us in the workshop, you'll learn
Understand client-side React, static site generation, and server-side rendering
Use React Server Components with out a framework and with Next.js
Learn performance considerations and how to optimize React apps
Explore Transitions and Optimistic/Deferred Values
Is This Workshop for Me?
This workshop is for anyone looking to get more experience in React or deepen their expertise in it. No experience is necessary beyond the intro course.
Workshop Details
Learn the latest React 19 features while diving into advanced React topics. Understand how and when to use React on the client side, static site generation, and server-side rendering. Explore React Server Components and gain experience using them both with and without Next.js. Use advanced features like Transitions, Optimistic/Deferred values, and other React 19 features!
Any Prerequisites?
Comfortable with JavaScript
View our Complete Intro to React, v9 or have similar experience
Comfortable with Node.js and the terminal
Homepage:

https://frontendmasters.com/workshops/intermediate-react-v6/

AusFile
https://ausfile.com/jnyjghfurmnt/uieqh.Intermediate.React.v6.part1.rar.html
https://ausfile.com/9v6iu9f2q5fr/uieqh.Intermediate.React.v6.part2.rar.html
TakeFile
https://takefile.link/veykju2f8lkz/uieqh.Intermediate.React.v6.part1.rar.html
https://takefile.link/ry1bwh0kbnhv/uieqh.Intermediate.React.v6.part2.rar.html
Rapidgator
https://rg.to/file/82584500eee79eae51c333fdb0927aec/uieqh.Intermediate.React.v6.part1.rar.html
https://rg.to/file/0203f1e2a931441575398d389e8d8491/uieqh.Intermediate.React.v6.part2.rar.html
Fikper Free Download
https://fikper.com/GO1mWXlLo0/uieqh.Intermediate.React.v6.part1.rar.html
https://fikper.com/rlOoW5GAFS/uieqh.Intermediate.React.v6.part2.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download GPHR ⭑ The Global Professional In Human Resources By HRCI
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.16 GB | Duration: 4h 58m
Exam | HR Certification | PHR | SPHR | SHRM-CP | SCP | CIPD | SPHRi | CPHR | CHRP | aPHR | aPHRi | PHRi | MBA | Test

What you'll learn
Master Global HR Competencies - Gain expertise in international HR policies, cross-border workforce management, and compliance with global labor laws.
Understand Global Talent Acquisition & Mobility - Learn how to recruit, relocate, and manage a global workforce while ensuring legal compliance.
Develop Strategic Global HR Leadership - Build skills in HR strategy, diversity and inclusion, and business ethics in a multinational context.
Navigate Global Compensation & Benefits - Learn how to structure equitable pay, benefits, and rewards programs across different countries.
Master International Labor Laws & Compliance - Stay up to date on employment laws, regulations, and labor rights in various global markets.
Enhance Cross-Cultural Management Skills - Learn best practices for managing multicultural teams and fostering inclusive work environments.
Prepare for the GPHR Exam with Confidence - Get structured lessons, practice tests, and expert insights to successfully pass the HRCI GPHR certification exam.
Develop Effective Global Workforce Planning - Learn how to align HR strategies with business goals in an international setting.
Improve HR Risk & Crisis Management - Understand how to mitigate HR risks, handle expatriate challenges, and ensure compliance with international policies.
Apply HR Analytics for Global Decision-Making - Use data-driven approaches to measure HR effectiveness and improve business outcomes worldwide.
Requirements
Basic HR Knowledge - Some experience in human resources, especially in areas like recruitment, compensation, compliance, or talent management, is helpful but not mandatory.
Familiarity with HR Concepts - Understanding HR fundamentals such as workforce planning, employee relations, and performance management will be beneficial.
Interest in Global HR Management - This course is ideal for those looking to expand their HR expertise to an international level, whether they currently work in global HR or aspire to.
English Proficiency - Since the GPHR exam and course materials are in English, a good understanding of the language will be necessary.
Commitment to Learning - The course is structured with lessons, practice quizzes, and study materials, so dedication to studying and applying concepts will be key to success.
No Special Tools Required - A computer, internet access, and a willingness to engage with the course content and practice tests are all you need.
Description
GPHR Certification Preparation: Master Global HR PracticesIn today's globalized business environment, HR professionals must navigate complex international HR challenges to manage a diverse workforce across multiple countries. The GPHR (Global Professional in Human Resources) certification is the gold standard for HR leaders looking to validate their expertise in global HR management, international labor laws, and global mobility strategies.This comprehensive GPHR certification preparation course is designed to help you master the key competencies required to pass the HRCI GPHR exam and apply strategic global HR practices in multinational organizations.What you will learn:• Global HR Strategy & Leadership - Develop international HR strategies aligned with business objectives• International Workforce Planning - Manage global talent acquisition, mobility, and workforce diversity• Global Compensation & Benefits - Design equitable total rewards programs across different countries• International Labor Laws & Compliance - Understand legal frameworks governing employment in various jurisdictions• Expatriate & Cross-Border Assignments - Develop policies for international employees and remote teams• Risk Management & Ethical HR Practices - Mitigate risks in global HR operations and ensure compliance• HR Technology in a Global Context - Leverage HRIS and data analytics to enhance global HR decision-makingCourse Structure:This GPHR exam prep course consists of structured modules covering all domains required for the HRCI GPHR certification exam. It includes interactive lectures, real-world case studies, quizzes, and practice tests to reinforce your learning.Course Modules:1. Introduction to certification. Basics of global HR managementIntroduction: What is the HRCI GPHR certificationExam RegistrationGlobal HR strategic planningAnalysis of test questions2. How the global HR department is built and how outsourcing is usedGlobal HR DepartmentGlobal HR OutsourcingIntroduction to glossaryAnalysis of test questions3. Global HR analytics and global recruitingGlobal HR AnalyticsGlobal recruitingAnalysis of test questionsHow to prepare for the exam4. Performance management in an international companyPerformance managementEmployee relationshipsAnalysis of test questionsHow to deal with tests in an exam5. HR automation and global workforce managementHR AutomationGlobal PersonnelAnalysis of test questionsHow to learn from tests6. Working with expats and international cultureManaging expat performanceCultural diversityAnalysis of test questionsHow to review the material you have already learned7. Training employees in an international cultureHow to teach cultureCultural diversityAnalysis of test questionsHow to keep learning motivated8. Global compensation designHow international pay is structuredAnalysis of test questionsWhat happens after certification9. Paying expatsPayments to expatsInternational taxesCompany policiesAnalysis of test questionsAbout recertification10. International risk managementInternational risk managementAnalysis of test questionsWho Should Enroll?• HR professionals preparing for the HRCI GPHR certification• HR leaders managing international workforce strategies• HR consultants advising multinational companies• Talent acquisition & mobility specialists handling expatriate assignments• Compliance and legal HR experts ensuring international labor law adherenceBy the end of this course, you will have the knowledge, tools, and confidence to pass the GPHR exam and excel as a global HR leader.Start Your Global HR Journey Today!Gain a recognized credential in international HR and take your career to the next level. Enroll now and begin your GPHR certification preparation with expert guidance.
HR Professionals Expanding to Global HR - HR managers, specialists, and generalists looking to transition into international HR roles.,Global HR Leaders & Directors - Senior HR professionals responsible for managing cross-border HR policies, global mobility, compliance, and international talent management.,HR Practitioners Preparing for GPHR Certification - Individuals aiming to earn the GPHR credential to validate their expertise in global HR best practices.,Talent Acquisition & Mobility Specialists - HR professionals managing global recruitment, expatriate programs, and international workforce planning.,HR Consultants & Business Partners - Professionals offering HR advisory services to multinational companies and looking to deepen their understanding of global HR regulations.,Compliance & Legal HR Experts - HR specialists working with international labor laws, expatriate management, and HR risk mitigation in multinational organizations.,HR Professionals in Multinational Companies - Those responsible for developing international HR strategies, policies, and frameworks across multiple regions.,HR Analysts & Data-Driven HR Professionals - Those involved in global HR analytics, workforce planning, and international compensation benchmarking.,Aspiring Global HR Leaders - HR professionals looking to advance their careers in international human resources management and gain a competitive edge.

Homepage:

https://www.udemy.com/course/gphr-the-global-professional-in-human-resources-by-hrci/

AusFile
https://ausfile.com/3075mnderyal/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part1.rar.html
https://ausfile.com/0wrdakk7jfsc/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part2.rar.html
https://ausfile.com/mwldlx8uh5ek/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part3.rar.html
https://ausfile.com/xbop67xx4xdd/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part4.rar.html
Rapidgator
https://rg.to/file/1e9f2e762c205cca38a0a152d659c945/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part1.rar.html
https://rg.to/file/ddff05b2510be1432d0fa3f1c6db9796/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part2.rar.html
https://rg.to/file/8aa8dcc13626090062c536ca03bc4a9d/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part3.rar.html
https://rg.to/file/ec50e1a35d099f0e11db30cd54e4f978/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part4.rar.html
Fikper Free Download
https://fikper.com/5ddXTrwRmx/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part1.rar.html
https://fikper.com/9KM4HxHYQm/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part2.rar.html
https://fikper.com/sy4i25FjoK/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part3.rar.html
https://fikper.com/eZHi8lW7BV/hdkpw.GPHR..The.Global.Professional.In.Human.Resources.By.HRCI.part4.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download GRATITUDE WEEK - Unlock The Power of Gratitude In 7 Days
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 34m | Size: 2.85 GB
Fastest Way To Boost Happiness, Love, Joy, and Manifestation Power in Your Career, Money, Relationship and Health.

What you'll learn
Learn all about gratitude and how to start practicing gratitude in your daily life
Where to start and how to start in the most simplest way possible
An easy and interesting way to embrace gratitude practice
A step by step process that can last for a life-time
Requirements
An Open Mind and a Desire to manifest your Goals, Desires, and Dreams. Ready to take steps and Implement the recommendations.
A Phone or Laptop with Good Internet Connection. Also, it works in your Smart Phone and Tablet.
A Notebook/Journal and a Pen. Headphone preferable for better audio clarity and attention.
Description
WHY DO YOU JOIN THIS PROGRAM?Gratitude is the simplest way to make your life positive and joyful. Tons of scientific studies have proven that daily practice of gratitude can enhance your life positively. Although Gratitude practice is very simple but a large number of people struggle to understand and practice it in their life. Therefore, it is very important to learn 'What is gratitude?' and 'How to start practicing gratitude on a daily basis?'PROGRAM WILL HELP YOU TO:Learn all about gratitude and how to start practicing gratitude in your daily lifeWhere to start and how to start in the most simplest way possibleAn easy and interesting way to embrace gratitude practiceStep by step process that can last for a life-timeAN ACTIVITY BASED PROGRAM: Daily activities designed to immerse in gratitudeCover all important areas of life: How to practice gratitudeTons of positive motivation to live a happy and positive lifeDeliberately designed to make you feel happy and joyfulAWESOME PROGRAM CONTENT: Main content is in Audio. Important points and highlights are in Text.Program Language: English( Simple and Easy to understand)What do I need to start the program?An Open Mind and a Desire to manifest your Goals, Desires, and Dreams. Ready to take steps and Implement the recommendations. A Phone or Laptop with Good Internet Connection. Also, it works in your Smart Phone and Tablet. A Notebook/Journal and a Pen. Headphone preferable for better audio clarity and attention.
Who this course is for
Anyone with an open mind to learn self-help tools to enhance positivity, focus and productivity in life.
Homepage:

https://www.udemy.com/course/gratitude-week/

AusFile
https://ausfile.com/vntk3w5ecp56/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part1.rar.html
https://ausfile.com/3w2e0ntte3ud/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part2.rar.html
https://ausfile.com/ycgj0wudcsc5/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part3.rar.html
Rapidgator
https://rg.to/file/45cba01c2ef94884b8ef80ac89daebc9/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part1.rar.html
https://rg.to/file/c87d9eb360762efed17b2bf18ef7e920/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part2.rar.html
https://rg.to/file/58ca0a3df10bad77b275597721affd15/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part3.rar.html
Fikper Free Download
https://fikper.com/KGO59bV62p/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part1.rar.html
https://fikper.com/jYxRbMesBB/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part2.rar.html
https://fikper.com/7pBFxYSXfl/mwjgb.GRATITUDE.WEEK.Unlock.The.Power.of.Gratitude.In.7.Days.part3.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Gemini AI Made Simple - Create Chatbots & AI Tools with Ease
Published: 3/2025
Created by: Luca Alessi,Dominique Alessi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 34 Lectures ( 1h 28m ) | Size: 818 MB

Learn Gemini AI API step-by-step to create chatbots, data dashboards, and AI-powered visualizations with Python.
What you'll learn
Set up and connect to the Gemini AI API using Python
Build interactive AI chatbots that understand user input.
Create dynamic AI-powered data dashboards (a case study in how to combine AI with other libraries like Pandas)
Go beyond the chatbot, and use Gemini to create AI-generated (user-prompted) data visualizations.
Acquire the skills to leverage AI to take your coding projects to the next level.
Requirements
Basic Python knowledge (loops, functions, variables) is strongly recommend but not required. A general experience in coding will do.
A Google account to access Google Colab (recommended for coding).
A Gemini AI API key (we'll show you how to get one for free).
Curiosity and a willingness to experiment with AI!
Description
Welcome to the ultimate beginner's course on Gemini AI!Are you ready to unlock the potential of Gemini AI to build interactive tools like chatbots, dashboards, and visualizations? Whether you're a developer, a data enthusiast, or simply curious about AI, this course is designed for you!Why Learn From Us?This course is taught by the Alessi twins-Luca and Dominique! From Luca's experience teaching data visualization workshops at a top university to Dominique's expertise as an Ivy-educated* computer scientist working in industry, together, we bring a unique blend of academic and industry experience. You can trust us to guide you every step of the way!What You'll Learn:Set up the Gemini AI API with Python.Build your first AI chatbot that answers questions intelligently.Create dynamic data dashboards with AI-generated summaries.Build dashboards that respond to user prompts with AI-generated data visualizations.Safely and effectively integrate AI into your projects.By the end of this course, you'll not only understand the Gemini AI API but also have the skills to create tools that automate tasks, analyze data, and showcase your creativity. Many of these principles can also be applied to other AI APIs.Why Take This Course?Beginner-friendly with hands-on coding exercises.Real-world projects to showcase in your portfolio.Practical skills to integrate AI into workflows and stand out professionally.Who Is This Course For?Developers and coders eager to explore AI APIs.Data enthusiasts looking to create dashboards and visualizations.Students and professionals who want to stand out with unique AI-powered projects.No prior experience with Gemini AI is required! All you need is a basic understanding of Python and a willingness to learn.Tools You'll Need:Python (setup guide included in the course)Google Colab for coding exercisesGemini AI API Key (we'll show you how to get it!)Take the first step toward mastering Gemini AI. Enroll now, and let's build something amazing together!*This class is not affiliated with any university.
Who this course is for
Beginner developers interested in AI.
Developers and coders (with no AI experience) eager to integrate AI into their projects.
Data analysts and researchers looking to automate insights with AI.
Students and professionals wanting to build AI-powered tools.
Anyone curious about AI and looking for practical coding applications.
Homepage:

https://www.udemy.com/course/practical-gemini-ai/

AusFile
https://ausfile.com/owzsfpsiguxs/pltnj.Gemini.AI.Made.Simple.Create.Chatbots..AI.Tools.with.Ease.rar.html
Rapidgator
https://rg.to/file/b6ef9ae911e06fa070fe901d1b93d7ca/pltnj.Gemini.AI.Made.Simple.Create.Chatbots..AI.Tools.with.Ease.rar.html
Fikper Free Download
https://fikper.com/I1PHwUgC3y/pltnj.Gemini.AI.Made.Simple.Create.Chatbots..AI.Tools.with.Ease.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Google Ads & Bing Ads - All Bidding Strategies - Advanced
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 58m | Size: 808 MB
Master All Bidding Strategies in Google Ads and Bing Ads - Advanced Concepts for Google Ads Campaign Optimizations

What you'll learn
Google Ads - All Bidding Strategies
Real Time Examples
Case Studies to understand Algorithms
Optimizations for Each Bidding Strategy
Requirements
Knowledge on Google Ads is required for the better understanding
Description
Master All Bidding Strategies in Google Ads and Bing Ads - Advanced Concepts for Google Ads Campaign OptimizationsIn the fast-evolving digital advertising landscape, mastering bidding strategies is a key factor for optimizing campaign performance. This comprehensive guide on "Mastering All Bidding Strategies in Google Ads and Bing Ads" will dive deep into advanced concepts, offering valuable insights into how you can elevate your ad campaigns and maximize ROI. Whether you're a seasoned marketer or just starting with pay-per-click (PPC) advertising, understanding the intricacies of bidding is crucial to achieving sustainable success.This course takes you through the essential elements of Google Ads and Bing Ads bidding systems, focusing on the latest techniques to enhance campaign efficiency. You will learn about the various bidding strategies offered by these platforms, such as manual bidding, enhanced cost-per-click (ECPC), target CPA (cost per acquisition), and target ROAS (return on ad spend), and how to determine which one works best for your specific objectives.The course further covers automated bidding strategies, such as smart bidding, which leverages machine learning to optimize bids in real time. You'll learn how to set up and refine automated campaigns.Through real-world examples and case studies, you'll gain the expertise to maximize visibility, increase conversions, and minimize wasted spend. By mastering bidding strategies in both Google Ads and Bing Ads, you will unlock the potential to drive more targeted traffic and significantly improve campaign performance, ensuring that your advertising budget is being used efficiently and effectively.In summary, this advanced-level course empowers you to harness the full power of bidding strategies, optimize your campaigns, and stay ahead of the competition in the competitive world of digital advertising.
Who this course is for
Intermediate Marketers: Ideal for marketers with some experience looking to deepen their understanding and refine their skills in paid search advertising.
Homepage:

https://www.udemy.com/course/google-ads-bing-ads-all-bidding-strategies-advanced/

AusFile
https://ausfile.com/a18kadmcfu3a/nqbqu.Google.Ads..Bing.Ads..All.Bidding.Strategies..Advanced.rar.html
Rapidgator
https://rg.to/file/a7741148b4f2f31140bd8e0225245c10/nqbqu.Google.Ads..Bing.Ads..All.Bidding.Strategies..Advanced.rar.html
Fikper Free Download
https://fikper.com/bZIYhxijOz/nqbqu.Google.Ads..Bing.Ads..All.Bidding.Strategies..Advanced.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Grow Your Business Without Social Media - Gamified Community
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 428.82 MB | Duration: 0h 56m
Master the skill of creating simple, safe, supportive communities for your audience outside of social media

What you'll learn
Why having an off-social-media space is a game-changer for audience growth and business success
How to create a gamified, engaging, and thriving community in less than two hours step by step
How to structure your community for high engagement and long-term growth
How to keep your audience active, connected, and invested in your movement
Requirements
You must be willing to take action on what you learn in this course and keep an open mind and heart for new ideas and strategies
Description
Relying solely on social media to grow your audience and business? It's time to rethink that strategy.Social media platforms are noisy, unpredictable, and constantly changing. If you want to build deeper relationships with your audience, create a safe and engaging space for them, and have full control over your community without the stress of algorithms, then this course is for you.In this training, you'll learn:- Why having an off-social-media space is a game-changer for audience growth and business success- How to create a gamified, engaging, and thriving community in less than two hours step by step- How to structure your community for high engagement and long-term growth- How to keep your audience active, connected, and invested in your movementThis is not just theory. You'll watch me build a real community from scratch in real-time, using simple tools that make the process fast, fun, and beginner-friendly.Who is this course for?- Coaches, creators, and business owners who want to build a loyal, engaged audience outside of social media- Entrepreneurs who are tired of relying on ever-changing algorithms to reach their people- Anyone looking for a simple, step-by-step guide to launching a community from scratch- Business owners who want to create a thriving, high-value space that keeps their audience engaged and coming backBy the end of this course, you'll have a fully functional, branded community that nurtures your audience, increases engagement, and creates a powerful, long-lasting connection with the people you serve.Are you ready to future-proof your audience and business? Let's build your community today!
Coaches, creators, and business owners who want to build a loyal, engaged audience outside of social media,Entrepreneurs who are tired of relying on ever-changing algorithms to reach their people,Anyone looking for a simple, step-by-step guide to launching a community from scratch,Business owners who want to create a thriving, high-value space that keeps their audience engaged and coming back

Homepage:

https://www.udemy.com/course/grow-your-business-without-social-media-gamified-community/

AusFile
https://ausfile.com/8hgnu6np524f/fsiip.Grow.Your.Business.Without.Social.Media.Gamified.Community.rar.html
Rapidgator
https://rg.to/file/3d0332ee6c3eaccfbcf103bc5fa4bde0/fsiip.Grow.Your.Business.Without.Social.Media.Gamified.Community.rar.html
Fikper Free Download
https://fikper.com/4gzP7XrLn0/fsiip.Grow.Your.Business.Without.Social.Media.Gamified.Community.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download How To Make Passive Income With AI - Viral Content & More
Published: 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.20 GB | Duration: 2h 59m
Learn how to use AI to create viral content, edit videos, and grow passive income through smart digital strategies.

What you'll learn
How to use AI to create viral content across multiple platforms.
The best strategies for finding profitable niches and trending topics.
How to create AI-generated videos, animations, and storytelling content.
Techniques for editing videos using AI tools for professional-quality results.
How to monetize digital content and generate passive income through AI.
Smart AI strategies to automate content creation and scale your business.
How to build a consistent brand and grow your online presence with AI.
Requirements
No prior experience needed - beginners are welcome.
A computer or smartphone with internet access.
Basic understanding of social media or online platforms is helpful but not required.
Willingness to learn and experiment with AI tools.
No design or video editing skills required - AI handles the heavy lifting.
Description
Turn AI Into Your Ultimate Earning Tool!Unlock the power of AI to create viral content, edit videos, and generate passive income. Whether you're starting a side hustle or growing a full-time business, this course will teach you practical AI strategies to monetize your creativity.You'll learn how to create high-engagement videos, find profitable niches, and use AI to streamline digital product creation-all without needing advanced skills. Discover how to turn AI into an automated income machine that works for you 24/7.What You'll Learn:Find Viral & Profitable Niches - Discover trending topics that attract views and generate income.Create AI-Generated Videos - Master AI storytelling, animations, and video editing for maximum engagement.Monetize AI Content - Sell digital products, use AI for passive income, and grow your online presence.Boost Productivity with AI - Automate repetitive tasks and scale your content effortlessly.Master AI Video Editing & Marketing - Learn professional editing tricks and viral growth strategies.This course stays updated with the latest AI trends and money-making strategies, ensuring you always have fresh insights and opportunities.No prior experience? No problem! Whether you're a beginner or an experienced creator, you'll get everything you need to start earning with AI today.The future of content creation is here-take action now!
Content creators who want to use AI for viral videos and digital content.,Entrepreneurs and freelancers looking to monetize AI-generated content.,Beginners who want to learn AI content creation without technical skills.,Social media marketers and influencers seeking AI-driven engagement.,Bloggers, designers, and video editors who want to speed up content production.,Anyone looking to start an online business using AI tools and automation.

Homepage:

https://www.udemy.com/course/earn-with-ai-graphic-design-content-creation-hacks/

AusFile
https://ausfile.com/xfg08xz86v75/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part1.rar.html
https://ausfile.com/otb67aani65r/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part2.rar.html
https://ausfile.com/rrhkz17z76yu/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part3.rar.html
https://ausfile.com/4hkaxfznfea7/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part4.rar.html
https://ausfile.com/32fvj9rrfzcf/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part5.rar.html
Rapidgator
https://rg.to/file/c0ab97c95b7319ba0f6ce313272435d9/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part1.rar.html
https://rg.to/file/3efa1a8844383d4a6e6473b0d3816a3b/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part2.rar.html
https://rg.to/file/2ca7da84a4036e7ee0ec5e40f9138359/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part3.rar.html
https://rg.to/file/b9027af96c224fc0b01b3d95cf9cae06/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part4.rar.html
https://rg.to/file/e6718c7f05fc834bfff91b4e2891600d/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part5.rar.html
Fikper Free Download
https://fikper.com/tUESPfgMNY/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part1.rar.html
https://fikper.com/OkMVVGNZTs/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part2.rar.html
https://fikper.com/aNSANFBMUg/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part3.rar.html
https://fikper.com/0b6Wk4Zeq8/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part4.rar.html
https://fikper.com/FF7ASiMmRQ/myaap.How.To.Make.Passive.Income.With.AI.Viral.Content..More.part5.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Human-Centered Design - The Psychology Behind Product Succes
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 918 MB
Unlock the secrets of human psychology to design intuitive, engaging, and habit-forming products that users love.

What you'll learn
Master Psychological Principles in Product Design - Learn how cognitive biases and behavioral psychology shape user behavior.
Design Intuitive & Engaging Products - Apply human-centered design strategies to improve UX and retention.
Create Habit-Forming Products - Use the Hook Model and habit-building techniques to drive long-term engagement.
Leverage Pricing & Persuasive Design - Explore ethical strategies that influence user decisions and enhance product success.
Requirements
No prior experience in psychology or design is required-this course is beginner-friendly.
Basic understanding of product development, UX, or marketing is helpful but not necessary.
A curious mindset and willingness to apply psychological principles to real-world products.
Access to a computer or smartphone to explore case studies and complete exercises.
Description
Why do some products feel intuitive and engaging while others frustrate users? The secret lies in Human-Centered Design-the strategic use of psychology to craft experiences that captivate, retain, and delight users.In this course, you'll explore the psychology behind product success, learning how cognitive biases, emotional design, and habit-forming principles shape user behavior. You'll uncover the science behind persuasive UX, effective pricing strategies, and ethical product design.What you'll learn: The key psychological principles that drive user engagement and decision-makingHow to apply cognitive biases like loss aversion, social proof, and anchoring in product designThe Hook Model-how successful products build habits that keep users coming backThe power of emotional design-using aesthetics, colors, and micro-interactions to create intuitive experience Psychological pricing strategies that influence purchasing decisions A step-by-step psychology-driven product design checklistHow to ethically apply persuasion techniques without crossing into manipulationWho Is This Course For? Product Designers, UX/UI Designers, and Developers looking to create engaging experiences Entrepreneurs and Product Managers who want to build habit-forming, high-converting products Marketers and Growth Hackers interested in leveraging psychology for better user engagement Anyone curious about the intersection of psychology, technology, and designBy the end of this course, you'll have a deep understanding of how human psychology influences product design-and the tools to create products that people love and trust. Join now and start designing with psychology in mind!
Who this course is for
Product Managers & UX Designers - Learn how psychology influences user behavior and engagement.
Entrepreneurs & Startup Founders - Design products that attract and retain users.
Marketers & Growth Strategists - Apply behavioral science to improve conversions and customer loyalty.
Engineers & Developers - Build intuitive and user-friendly digital experiences.
Anyone Interested in Human-Centered Design - No prior experience needed-just a curiosity about how psychology shapes great products!
Homepage:

https://www.udemy.com/course/human-centered-design-the-psychology-behind-product-succes/

AusFile
https://ausfile.com/utv0dak2gleq/ctbfk.HumanCentered.Design.The.Psychology.Behind.Product.Succes.rar.html
Rapidgator
https://rg.to/file/4ac66286e40f0a53e9bb8ae5cf3c53d3/ctbfk.HumanCentered.Design.The.Psychology.Behind.Product.Succes.rar.html
Fikper Free Download
https://fikper.com/NhqZTy6obr/ctbfk.HumanCentered.Design.The.Psychology.Behind.Product.Succes.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download Integrative pathways to addiction recovery through DBT & ACT
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 24m | Size: 3.54 GB
Helping you to overcome addiction and sustain sobriety through dialectical behavioural and acceptance commitment therapy

What you'll learn
Dialectical behavioural therapy skills including Mindfulness, interpersonal relationships, distress tolerance and emotion regulation.
Acceptance commitment therapy and how to become psychologically flexible.
Relapse prevention tools to aid your recovery.
A Fillable relapse prevention plan to aid your cravings and triggers.
80 plus page workbook including worksheets and handouts to help you put your learning into practice.
Requirements
No Requirements needed. Just willingness to achieve emotional and physical sobriety.
Description
This course is specifically intended for individuals who are currently facing the challenges of addiction, as well as those who are in the process of recovery and are aiming to enhance their emotional sobriety. It thoughtfully incorporates Dialectical Behavioural Therapy (DBT) to equip participants with essential skills required for effectively managing emotions, nurturing healthy and meaningful relationships, and implementing robust crisis management and mindfulness techniques. All of these approaches are firmly backed by scientific research in the field of addiction recovery. Participants will also have the opportunity to cultivate psychological flexibility, learn to embrace and navigate challenges, and commit to actions that significantly enhance their lives through strategies provided in acceptance commitment therapy. The curriculum is meticulously grounded in mindfulness principles and offers various strategies for behavioral change, which are crucial for anyone on the road to recovery. It includes a comprehensive range of relapse prevention tools and techniques designed to support the long-term maintenance of sobriety. Additionally, you will receive a downloadable workbook specifically designed to facilitate the practical application of your learnings, along with a personalized relapse prevention plan crafted to address your unique needs. This course goes beyond merely achieving and maintaining sobriety; it focuses on the essential goal of creating a genuinely 'life worth living.' Sobriety encompasses much more than simply abstaining from alcohol and substances-it involves a profound transformation of your habits and mindset regarding daily living and overall life satisfaction. Without the valuable skills provided in this comprehensive course, there remains a significant risk of reverting to previous coping mechanisms that involve substances. The course is thoughtfully structured to assist you in shifting from unhealthy coping strategies to much healthier ones, enabling you to achieve your full potential and successfully reach your goals in recovery and beyond.
Who this course is for
Anyone who is struggling with alcohol or substance misuse.
Anybody who is in recovery and wanting to improve there emotional sobriety and coping skills.
Anyone who wants to learn DBT and ACT skills.
Homepage:

https://www.udemy.com/course/addiction-recovery-through-dbt-act/

AusFile
https://ausfile.com/290jcv9is349/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part1.rar.html
https://ausfile.com/f5q65wj7l9my/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part2.rar.html
https://ausfile.com/ffetragnb1o5/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part3.rar.html
https://ausfile.com/l391fat9f7is/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part4.rar.html
Rapidgator
https://rg.to/file/bcf5b0399a8ecf9491217e7b8e012f50/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part1.rar.html
https://rg.to/file/13bc491c3ae1c47d0f6f66ce16a80e2a/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part2.rar.html
https://rg.to/file/569f51651a21d1dafeb10ffa59c7d2b6/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part3.rar.html
https://rg.to/file/500717bfa3355b1130ebfaf0627bf731/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part4.rar.html
Fikper Free Download
https://fikper.com/EGDMx4yaJw/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part1.rar.html
https://fikper.com/iGM3RrGyWy/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part2.rar.html
https://fikper.com/h44MpxkfEC/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part3.rar.html
https://fikper.com/8eFWMXvJKB/cwztd.Integrative.pathways.to.addiction.recovery.through.DBT..ACT.part4.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download LLM Apps - Prototyping, Model Evaluation, and Improvements
Published: 3/2025
Created by: Dan Andrei Bucureanu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 69 Lectures ( 5h 53m ) | Size: 3.25 GB

Design, Test, and Benchmark LLM Apps: Fast Prototyping and Smart Evaluation for Optimal Performance
What you'll learn
Understand the tech landscape of LLM powered APPs
When to use GEN AI and when to use Weak AI
Setup the tools to integrate AI into your standard APP
Get the basics of ai in module Introduction to AI
Overview of Machine Learning Types
Data Lifecycle - how data evolves with your ML Model
Foundation Model lifecycle
Fine Tunning of models through data
Fine Tunning of models through prompt
Fine Tunning of models through hyperparameter
Using Huggingface models for work
Agentic Frameworks as: Autogen, Browser User, Flowise AI
Understand RAG and how to evaluate it
Evaluate the LLM With RAGAs benchmarking Framework
Understand the Confusion Matrix: accuracy, Recall, F1 score
GLUE Benchmarking Framework
Retrain and fine tune a computer Vision model
Requirements
Some AI Experience
Experience with Prompting
Some coding experience with Python
Laptop abele to run VS code and some python apps
LLM Api key
7-8 Hours and the will to improve
Description
Unlock the full potential of Large Language Models (LLMs) by understanding prototyping, model evaluation, and benchmarking. This hands-on course takes you through every stage of LLM development-from building and selecting models to fine-tuning, testing, and benchmarking them with industry-standard tools. Whether you're an AI beginner or a professional looking to enhance your expertise, this course provides the skills needed to create high-performing AI applications.What you'll learn: Set Up Your AI Development EnvironmentLearn how to prepare a powerful AI workspace with Python, VS Code, NPM, and essential AI libraries, ensuring a seamless development experience.Understand AI & Machine Learning BasicsExplore key concepts in AI, Machine Learning, and Deep Learning, including supervised vs. unsupervised learning, model training phases, and how LLMs process and generate responses.Selecting the Right AI Model for Your Use CaseDiscover how to choose the best pre-trained AI models for NLP, vision, and multi-modal applications. Learn when to use classification, clustering, and regression models and understand model complexity, speed, and accuracy trade-offs. Harness the Power of Retrieval-Augmented Generation (RAG)Enhance your AI applications with RAG, a technique that combines retrieval-based search with LLM responses for more accurate and context-aware AI outputs.Leverage the Hugging Face AI CommunityTap into the Hugging Face ecosystem-explore model repositories, learn about tokenizers and transformers, and contribute to the open-source AI movement.Fine-Tune Models for Maximum PerformanceExperiment with temperature settings, top-K and top-P sampling, and hyperparameter tuning to optimize LLM responses and efficiency.Supercharge Your AI with Data-Driven InsightsImprove model accuracy with K-Fold Cross Validation, learn effective data-splitting techniques, and explore overfitting and underfitting detection methods.Benchmark Your AI Models Like a ProCompare your models against industry benchmarks like GLUE and Hugging Face Leaderboards. Learn how to evaluate NLP models using standard metrics and perform real-world GLUE benchmarking with Python.Evaluate Computer Vision AI ModelsGo beyond text-based models! Learn how to benchmark vision-based AI models using CIFAR-10 and interpret test results for advanced model evaluation. Understand Model Evaluation with Confusion MatricesMaster Confusion Matrix analysis to assess classification model performance. Learn how to interpret True Positives, False Positives, False Negatives, and True Negatives to optimize AI predictions and reduce errors.Who Should Take This Course? AI enthusiasts eager to dive into LLM prototyping and evaluation Developers looking to build and refine state-of-the-art AI models Data scientists who want to benchmark AI performance with confidence Anyone interested in understanding AI model evaluation techniques
Who this course is for
Any Software engineer
Developers
AI engineers
Project Managers
Product Owners
AI Testing Engineers
Homepage:

https://www.udemy.com/course/llm-apps-prototyping-model-evaluation-and-improvements/

AusFile
https://ausfile.com/hml8yfi4p2d3/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html
https://ausfile.com/0x13rqgc4flt/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html
https://ausfile.com/aqmntqz8eayj/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html
https://ausfile.com/gipphnwkwy7z/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html
Rapidgator
https://rg.to/file/4e0c5cd502e4e0ac57ea2fc089926b5a/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html
https://rg.to/file/44cfe4b09357cb1968b48fb028aba412/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html
https://rg.to/file/4d8a6197462b3dcc048a7c7c82f8da60/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html
https://rg.to/file/6518b947c286912d1c03a82619c82298/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html
Fikper Free Download
https://fikper.com/Se29llobp3/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part1.rar.html
https://fikper.com/V2P57xnKBs/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part2.rar.html
https://fikper.com/lPpr6xhzec/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part3.rar.html
https://fikper.com/THpHrzwRBJ/rbvod.LLM.Apps.Prototyping.Model.Evaluation.and.Improvements.part4.rar.html

No Password - Links are Interchangeable

[WarezDownload]

Free Download LLM Fine-Tuning GRPO, SFT, DPO, with Reinforcement Learning
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 40m | Size: 1.85 GB
LLM Hands-On Fine-Tuning and Reinforcement Learning with SFT, LoRA, DPO, and GRPO

What you'll learn
You will grasp the core principles of Large Language Models (LLMs) and the overall structure behind their training processes.
You will learn the differences between base models and instruct models, as well as the methods for preparing data for each.
You'll learn data preprocessing techniques along with essential tips, how to identify special tokens required by models, understanding data formats, and methods
You'll gain practical, hands-on experience and detailed knowledge of how LoRA and Data Collator work.
You'll gain a detailed understanding of crucial hyperparameters used in training, including their purpose and how they function.
You'll practically learn, in detail, how trained LoRA matrices are merged with the base model, as well as key considerations and best practices to follow during
You'll learn what Direct Preference Optimization (DPO) is, how it works, the expected data format, and the specific scenarios in which it's used.
You'll learn key considerations when preparing data for DPO, as well as understanding how the DPO data collator functions.
You'll learn about the specific hyperparameters used in DPO training, their roles, and how they function.
You'll learn how to upload your trained model to platforms like Hugging Face and manage hyperparameters effectively after training.
You'll learn in detail how Group Relative Policy Optimization (GRPO), a reinforcement learning method, works, including an in-depth understanding of its learnin
You'll learn how to prepare data specifically for Group Relative Policy Optimization (GRPO).
You'll learn how to create reward functions-the most critical aspect of Group Relative Policy Optimization (GRPO)-through various practical reward function exam
In what format should data be provided to GRPO reward functions, and how can we process this data within the functions? You'll learn these details thoroughly.
You'll learn how to define rewards within functions and establish clear reward templates for GRPO.
You'll practically learn numerous details, such as extracting reward-worthy parts from raw responses and defining rewards based on these extracted segments.
You'll learn how to transform an Instruct model into one capable of generating "Chain of Thought" reasoning through GRPO (Group Relative Policy Optimization).
Requirements
Basic knowledge of Python programming.
Introductory-level familiarity with artificial intelligence and machine learning concepts.
Ideally, prior experience with Jupyter Notebook or Google Colab.
Description
In this course, you will step into the world of Large Language Models (LLMs) and learn both fundamental and advanced end-to-end optimization methods. You'll begin with the SFT (Supervised Fine-Tuning) approach, where you'll discover how to properly prepare your data and create customized datasets using tokenizers and data collators through practical examples. During the SFT process, you'll learn the key techniques for making large models lighter and more efficient with LoRA (Low-Rank Adaptation) and quantization, and explore step by step how to integrate them into your projects.After solidifying the basics of SFT, we will move on to DPO (Direct Preference Optimization). DPO allows you to obtain user-focused results by directly reflecting user feedback in the model. You'll learn how to format your data for this method, how to design a reward mechanism, and how to share models trained on popular platforms such as Hugging Face. Additionally, you'll gain a deeper understanding of how data collators work in DPO processes, learning practical techniques for preparing and transforming datasets in various scenarios.The most significant phase of the course is GRPO (Group Relative Policy Optimization), which has been gaining popularity for producing strong results. With GRPO, you will learn methods to optimize model behavior not only at the individual level but also within communities or across different user groups. This makes it more systematic and effective for large language models to serve diverse audiences or purposes. In this course, you'll learn the fundamental principles of GRPO, and then solidify your knowledge by applying this technique with real-world datasets.Throughout the training, we will cover key topics-LoRA, quantization, SFT, DPO, and especially GRPO-together, supporting each topic with project-oriented applications. By the end of this course, you will be fully equipped to manage every stage with confidence, from end-to-end data preparation to fine-tuning and group-based policy optimization. Developing modern and competitive LLM solutions that focus on both performance and user satisfaction in your own projects will become much easier.
Who this course is for
Who is this course for? Data scientists and ML engineers who want to specialize in Large Language Model (LLM) training techniques.
Individuals who want to master essential tips and best practices for data preparation.
AI developers aiming to build their own customized language models.
Individuals who want hands-on experience with advanced techniques like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Group Relative Policy Optimization (GRPO).
Individuals who want practical, hands-on experience with the Group Relative Policy Optimization (GRPO) technique.
Individuals who want to learn essential tips for data preparation and adapt their own custom datasets for language models.
Those interested in reinforcement learning methods and optimizing models based on user feedback.
Homepage:

https://www.udemy.com/course/llm-fine-tuning-grpo-sft-dpo-with-reinforcement-learning/

AusFile
https://ausfile.com/a6pvwk649pe6/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part1.rar.html
https://ausfile.com/atshjdv8rpo3/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part2.rar.html
Rapidgator
https://rg.to/file/4902267b55043688cbee46fb1ab1243f/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part1.rar.html
https://rg.to/file/98dbea7d1c8b220585c5c86f72c8b973/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part2.rar.html
Fikper Free Download
https://fikper.com/oeeHSemK7c/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part1.rar.html
https://fikper.com/9B6dV1Itgv/yteho.LLM.FineTuning.GRPO.SFT.DPO.with.Reinforcement.learning.part2.rar.html

No Password - Links are Interchangeable