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Free Download Game Development Fundamentals With Unreal Engine
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.66 GB | Duration: 7h 56m
Master the Essentials of Unreal Engine for Game Development.

What you'll learn
Unreal Engine Fundamentals: Get acquainted with the basics of the Unreal Engine interface and workflow.
Professional approach towards game development.
Overview: Gain a comprehensive understanding of Unreal Engine game development.
Ideation: Learn how to brainstorm and conceptualize game ideas.
Assets Procurement: Understand how to acquire and manage assets for game development.
Level Building with Lyra tools: Master the art of creating immersive game levels.
Blueprints Overview: Explore the fundamentals of Unreal Engine's visual scripting system.
Gameplay Scripting: Learn to script interactive gameplay elements using Blueprints.
UI: Understand basic concept of creating widgets and scripting using blueprints.
Finishing Prototype: Learn the steps to finalize and polish a game prototype.
Packaging: Discover how to package and distribute your game.
Requirements
Beginners who wants a kickstart fundamentals of game development
Anyone who has career aspirations in game development.
Basic Windows knowledge.
Minimum System Requirements: Unreal Engine to work smoothly on Windows
Description
This course introduces you to the core fundamentals of game development using Unreal Engine, one of the most widely used game engines in the industry. Designed for beginners and enthusiasts alike, it covers essential topics to get you comfortable with creating, designing, and interacting within Unreal Engine.Starting with the basics, you'll learn how to navigate the interface, move around the viewport, and use key tools to manage and modify your game world. As you build your skills, you'll delve into level design to create immersive environments, followed by an introduction to assets procurement-learning how to gather and use assets that bring your scenes to life. You'll also explore gameplay scripting with Unreal Engine's Blueprint system, allowing you to add interactivity without needing to code. Additionally, you'll gain an understanding of character functions to animate and control characters, giving players a truly interactive experience.By the end of this course, you'll have the skills to design and build a fully functional prototype level, complete with environments, gameplay elements, and a basic character setup. With hands-on assignments and quizzes, this course gives you a practical and engaging way to learn Unreal Engine. No prior experience is needed-just bring your curiosity and creativity, and start creating your own games!
Overview
Section 1: Intro to game development
Lecture 1 Installation & Setup
Lecture 2 Basic Controls
Lecture 3 Using UE Effectively
Lecture 4 Unreal Engine Shortcuts
Section 2: Planning & Blockout
Lecture 5 Blockout Overview With Lyra Content
Lecture 6 Grey box & Concept sketch
Lecture 7 Outline Blocks
Lecture 8 Customizing Lyra tools
Lecture 9 Adding floors & Completing layout
Lecture 10 Simple puzzles
Lecture 11 Greyboxing completion
Section 3: Level Design
Lecture 12 Lighting Overview
Lecture 13 Lights & Lighting Interiors
Lecture 14 Import New Assets & Material Editor
Lecture 15 More Game Assets
Lecture 16 Using UE Library, Quixel Bridge, UE Marketplace
Lecture 17 Duplicating lights to all rooms
Lecture 18 Adding Light meshes to the lights
Lecture 19 Completing Level design & populating props
Lecture 20 Level design Details & Imperfections
Section 4: Blueprints Overview & User Interface
Lecture 21 Blueprint Actor, Elevator System
Lecture 22 New Player Character
Lecture 23 Main Menu UI
Lecture 24 Game Settings & Mission Completed UI
Lecture 25 Music & SFX
Section 5: Packaging & Distribution
Lecture 26 Packaging & Distribution
Section 6: Placement Tips & Continuing Your Game Dev Journey
Lecture 27 Placement Tips and Skill Development
Lecture 28 Continuing Your Journey
Lecture 29 Resume Writing Tips
Lecture 30 Sample Resume for a Game Developer
Lecture 31 End of Course Message
Beginners who have little to no knowledge of game development.
Homepage

https://www.udemy.com/course/unrealenginefundamentals/

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Free Download Game-changing Strategies for an Active Learning Classroom
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 31m | Size: 1.8 GB
A certificate course for all educators

What you'll learn
Build an understanding of the background to and the evolution of AL
Differentiate between active and passive learning
Select and use AL techniques best suited for various stages of the lesson
Examine and acknowledge the considerations to for planning an AL lesson
Encourage critical thinking, problem-solving, and creativity
Promote metacognitive skills development in active learning contexts
Create inclusive learning environment for better student engagement
Requirements
The course can be accessed via desktop, laptop, tablet, or smartphone.
As an online, self-paced course, a stable internet connection is essential for accessing course materials, streaming videos, and participating in interactive components.
Description
The STTAR self-paced learning module on "Active Learning" provides a detailed exploration of what it means for a child to be actively engaged in their learning process. This course emphasizes the numerous benefits of active learning, highlighting the mindset and instructional shifts that educators should embrace to support this approach effectively and encourage students' deeper understanding and critical thinking skills. Through engaging content, educators will learn practical, easy-to-use strategies designed to reach and engage as many students as possible, with diverse examples across subjects and grade levels.Key areas covered in the course include effective questioning techniques that foster curiosity, prompts that stimulate critical thinking, and a variety of activities to employ at different stages of a lesson, whether at the beginning, middle, or end. Additionally, the module offers guidance on the art of keeping lessons on track with desired learning outcomes, emphasizing the importance of intentional lesson planning for all teachers. Educators will learn how to create lessons that are aligned with learning outcomes, ensuring a seamless connection between the lesson plan, learning objectives, and assessment. Each component is explained simply and vividly, providing educators with clear methods to enhance classroom engagement and maximize students' active learning experiences effectively.
Who this course is for
All K-12 educators, all subjects
Homepage

https://www.udemy.com/course/game-changing-strategies-for-an-active-learning-classroom/

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Free Download Generational Diversity in the Workplace
Released 11/2024
By Madecraft
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 56m | Size: 267 MB

This course will teach you what generational diversity is, how it can benefit your organization, and how you can foster generational diversity at work.
In today's evolving workplace, understanding how to work effectively with a multigenerational workforce is crucial to avoiding misunderstandings, bias, and missed opportunities for collaboration. In this course, Generational Diversity in The Workplace, you'll learn to embrace and leverage generational diversity to improve collaboration and productivity. First, you'll explore the fundamentals of multigenerational diversity, including the traits of each generation and how these dynamics impact the workplace. Next, you'll discover the current workforce challenges related to generational shifts and leadership dynamics. Finally, you'll learn how to plan for future success by fostering intergenerational collaboration, preventing bias and age discrimination, and creating an inclusive environment. When you're finished with this course, you'll have the skills and knowledge of generational inclusion needed to improve workplace relationships, enhance team collaboration, and drive optimal results across all age groups.
Homepage

https://www.pluralsight.com/courses/generational-diversity-workplace

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Free Download Generative AI For Developers - A Practical Implementation
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.37 GB | Duration: 2h 7m
From Theory to Practice: Developing with Generative AI

What you'll learn
Understand Generative AI Fundamentals: Students will gain a solid understanding of the principles and techniques behind generative AI, including various models
Implement Generative AI Models: Students will learn how to implement and customize generative AI models using popular frameworks such as TensorFlow and PyTorch
Evaluate and Optimize AI Models: Students will develop skills in evaluating the performance of generative AI models through metrics such as fidelity, diversity
Deploy Generative AI Solutions: Students will acquire practical knowledge on how to deploy generative AI models into production environments
Requirements
No prior experience with generative AI is required. The course is designed to guide students through the learning process, providing all the necessary information and resources to succeed, from foundational concepts to advanced implementation techniques.
Description
Unlock the power of Generative AI and elevate your development skills with this comprehensive course designed for developers and data scientists. Generative AI for Developers: A Practical Implementation provides hands-on training to help you master the latest techniques in machine learning, deep learning, and artificial intelligence.In this course, you will:Explore Generative AI models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).Learn how to implement AI solutions that can generate realistic images, text, and other data formats.Gain practical experience with popular libraries like Transformers.Understand the ethical considerations and best practices for using Generative AI in your projects.Work on real-world case studies and projects to build your portfolio, demonstrating your ability to deploy AI models in a professional environment.Whether you're looking to enhance your resume, stay ahead in the rapidly evolving field of technology, or simply explore the fascinating world of Generative AI, this course has everything you need. By the end of this course, you will be equipped with the knowledge and skills to create innovative AI applications, implement cutting-edge machine learning techniques, and contribute to the next generation of intelligent systems.Enroll now and start your journey towards becoming a proficient Generative AI developer!
Overview
Section 1: Introduction
Lecture 1 Welcome & Course Overview
Lecture 2 Introduction to Generative AI
Section 2: Understanding Generative Models: Concepts and Techniques
Lecture 3 Understanding Models: An Overview
Lecture 4 What are Generative Models?
Lecture 5 Exploring the Diversity of Generative Models
Section 3: Generative Adversarial Networks (GANs)
Lecture 6 Introduction to GANs (Generative Adversarial Networks)
Lecture 7 GAN Components and Variants
Lecture 8 Demo-Generator and discriminator
Lecture 9 Challenges, Ethical Considerations, and Future Trends
Section 4: Variational Autoencoders (VAEs)
Lecture 10 Introduction to VAE Variants (CVAE, VQ-VAE)
Lecture 11 Demo:Variational Autoencoder (VAE) for MNIST Digit Reconstruction
Section 5: Autoencoders
Lecture 12 Introducing Autoencoders
Lecture 13 Autoencoder-based Image Compression and Denoising Demo
Section 6: Large Language Models in Generative AI
Lecture 14 Introducing Large Language Models (LLMs)
Lecture 15 Decoding the Architecture of LLMs
Section 7: Transformer-Based Generative Models
Lecture 16 Transformer-based generative models
Lecture 17 Demo-Transformer Based Translator
Lecture 18 Demo-Transformer Based Sentiment Analysis
Lecture 19 Demo Creative Content Generation with Generative AI
Lecture 20 Demo-Transformer Based Text Generation
This course is tailored for those who want to gain practical, actionable knowledge in generative AI, regardless of their previous experience level in the field.
Homepage

https://www.udemy.com/course/generative-ai-for-developers-a-practical-implementation/

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Free Download Generative AI Foundations - Generative AI In Action
Released 11/2024
By Simon Allardice
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 39m 21s | Size: 280 MB

Move past basic Gen AI chatbot interactions to explore practical, real-world applications, Explore use cases and ideas like Generative AI Agents and Retrieval-Augmented Generation (RAG), giving you tools to implement more sophisticated AI solutions.
In this short, fast-paced, and engaging course, Generative AI in Action, you'll start by exploring practical use cases for AI, moving beyond basic chatbot interactions to more sophisticated solutions. Then, you'll dive into Retrieval-Augmented Generation (RAG), understanding how it enhances AI's ability to provide accurate and relevant information. Finally, by the end of the course, you'll gain a clear understanding of Generative AI Agents, learning how they operate and their potential to handle complex tasks and add real value to your business.
Homepage

https://app.pluralsight.com/library/courses/generative-ai-foundations-in-action/table-of-contents

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Free Download Generative AI for .NET Developers with Azure AI Services
Published 11/2024
Created by Trevoir Williams
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 97 Lectures ( 6h 37m ) | Size: 2.52 GB

Learn to develop smart .NET applications backed by powerful generative AI components
What you'll learn
Understand the Fundamentals of Generative AI
Integrate Azure AI Services with .NET
Work with Natural Language Processing (NLP)
Develop AI-Enhanced Applications
Azure OpenAI Services
Azure AI Cognitive Services
Machine Learning Fundamentals
Azure ML
ML Builder in Visual Studio and Visual Studio Code
Retrieval-Augmented Generation (RAG)
Azure AI Studio
GPT and DALL-E
Requirements
Some experience with C#
Knowledge of basic web development concepts
Description
Unlock the potential of Generative AI and take your .NET applications to new heights with Generative AI for .NET Developers with Azure AI Services. This comprehensive course is designed to equip developers, business leaders, and technical specialists with the tools, knowledge, and confidence to build, deploy, and manage AI-powered applications that drive real value. Whether you're a developer eager to add AI skills to your toolkit or a manager looking to enhance your team's AI capabilities, this course provides a step-by-step pathway to mastering generative AI on Azure.What You'll Learn:In this course, you'll gain hands-on experience with Azure's cutting-edge AI services, from foundational concepts to advanced techniques. Our carefully designed curriculum ensures you not only understand how generative AI works but also why it's transforming industries across the globe. Key takeaways include:Foundational Knowledge of Generative AI and Key Algorithms: Understand the principles behind generative AI, including neural networks, transformers, and models like GANs. Learn how these concepts empower real-world applications like chatbots, image generation, and content automation.Practical Skills with Azure's AI Tools: From Azure OpenAI to Cognitive Services, explore how Azure's robust AI ecosystem makes it possible to integrate advanced AI capabilities without complex setup. Through labs and practical exercises, you'll become fluent in leveraging these tools directly in .NET applications.Real-World Applications of AI in .NET Development: Apply your new skills to projects that simulate business scenarios. Build applications with real value, from automated customer support to intelligent document generation, that demonstrate the impact AI can bring to your business.Scalable and Secure Deployment on Azure: Learn how to deploy AI models in the cloud with Azure's reliable, scalable infrastructure. With best practices in security, cost management, and performance monitoring, you'll be prepared to create AI solutions that are both efficient and sustainable.Responsible and Ethical AI: Get guidance on implementing AI responsibly, with an emphasis on ethics, transparency, and data privacy. Azure's AI tools provide built-in features to ensure your AI applications are fair, secure, and trustworthy.Who Should Enroll?This course is ideal forevelopers and Technical Leads: Gain in-demand skills to build advanced .NET applications powered by Azure's AI services, giving you a competitive edge in the marketplace.Managers and Business Decision Makers: Discover how generative AI can enhance operations, drive innovation, and create value, empowering you to make strategic decisions about AI implementation.Training Specialists and Learning & Development Teams: Equip your workforce with the tools and knowledge to excel in the age of AI, fostering innovation and efficiency within your organization.Why Choose This Course?This is more than just a training program - it's a complete learning journey. You'll benefit from clear, engaging explanations, hands-on labs for every concept, and real-world projects that bring generative AI to life. By the end of this course, you'll not only have a portfolio of AI-driven .NET applications but also the skills to deploy, manage, and innovate with AI solutions confidently.Join us in this transformative learning experience and see how generative AI can reshape your development process, enhance customer engagement, and drive operational success. Together, we'll turn complex AI concepts into actionable business insights and solutions that bring measurable impact.Enroll now and let's start building the intelligent applications of tomorrow!
Who this course is for
Developers
Technical Leads
Business Managers
Homepage

https://www.udemy.com/course/generative-ai-for-net-developers-with-azure-ai-services/

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Free Download Generative AI for Leaders - How to Use AI in My Business Life
Published 11/2024
Created by ETS WellTech Education Innovations & Solutions
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 37 Lectures ( 3h 38m ) | Size: 1.37 GB

Generative AI for Business: A Practical Guide: Level Up Your Business Life with Generative AI: Generative AI 101
What you'll learn
Fundamentals of AI: Understand the basics of generative AI and its impact on business
AI in Leadership: Explore how AI is reshaping leadership roles and decision-making processes.
Prompt Engineering: Learn to create effective prompts for AI tools to optimize outcomes
Customer Solutions with ChatGPT: Implement ChatGPT to automate customer support responses, improving efficiency and customer satisfaction
Content and Idea Generation: Utilize ChatGPT for generating marketing copy, brainstorming innovative ideas, and creating personalized training materials.
AI Communication Tools: Discover various AI tools that enhance collaboration and streamline communication
Ethical AI Practices: Gain insights into ethical considerations and best practices for AI implementation.
Future Trends in AI: Identify emerging trends in AI and how to future-proof your business strategy
AI-Driven Innovation: Learn to foster a culture of innovation through AI initiatives and projects
Remote Collaboration: Enhance remote team collaboration using AI-powered tools and strategies
Requirements
Basic Computer Skills: Familiarity with using computers, navigating software, and basic internet usage
Interest in AI: A genuine interest in learning about artificial intelligence and its applications in business
Leadership Role: Ideally suited for current or aspiring leaders, managers, or decision-makers in any industry
Willingness to Learn: Openness to exploring new technologies and adapting to changes in the workplace
Access to Technology: A computer or device with internet access to engage with course materials and tools
Description
Generative AI for Leaders: How to Use AI in My Business LifeWelcome to "Mastering AI Leadership: Transform Your Business Strategy with Generative AI." In today's rapidly evolving business landscape, integrating Artificial Intelligence is essential for staying competitive. This course is meticulously crafted for business leaders eager to leverage AI's transformative power to drive innovation, enhance decision-making, and cultivate ethical project management practices.What You Will Learn:Throughout this comprehensive course, you'll delve into key modules that provide a solid foundation in AI and its applications:Foundations of AI in Business: Understand the fundamentals of generative AI and its immediate impact on business dynamics. Discover how AI is reshaping leadership and the future of work.Prompt Engineering for Leadership: Learn how to craft effective AI prompts that empower your decision-making and optimize your use of advanced tools like ChatGPT, Microsoft Copilot, and Gemini.AI Communication Tools: Explore various AI communication tools that enhance collaboration and streamline decision-making processes, positioning AI as your strategic partner.Ethical AI Practices: Navigate the ethical landscape surrounding AI implementation. Equip yourself with practical strategies to foster ethical AI use in your organization, addressing common challenges and societal impacts.Future Trends and Innovation: Gain insights into emerging trends in AI, enabling you to future-proof your business strategy and create a culture of innovation through AI-driven projects.Remote Team Collaboration: Discover practical exercises for enhancing collaboration among remote teams using AI tools, ensuring effective communication and engagement.Hands-On Experience:Engage in hands-on projects and case studies from top companies that have successfully integrated AI into their leadership practices. You'll gain actionable insights and measurable results that you can apply directly to your organization.Why Enroll?This course not only equips you with the knowledge to lead in the AI age but also empowers you to make informed decisions that foster growth and sustainability. With practical tips, real-world examples, and interactive elements, you'll be prepared to harness AI's full potential and elevate your leadership performance.Join us on this transformative journey, and empower your leadership with AI-driven strategies for sustainable growth. Enroll today and take the first step toward mastering the future of leadership!
Who this course is for
Business Leaders: Executives and managers seeking to leverage AI for strategic decision-making
Aspiring Leaders: Individuals aiming to enhance their leadership skills in the context of AI integration
Project Managers: Professionals looking to incorporate AI tools to improve project efficiency and outcomes
Entrepreneurs: Startup founders wanting to harness AI for innovation and business growth
HR Professionals: Human resource managers interested in using AI for recruitment and employee development
Marketing Professionals: Marketers seeking to utilize AI for content creation and customer engagement
Data Analysts: Analysts looking to enhance their data interpretation and reporting with AI tools
Students: Learners pursuing careers in business, technology, or management interested in AI's role in leadership
Homepage

https://www.udemy.com/course/generative-ai-for-leaders-how-to-use-ai-in-my-business-life/

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Free Download Generative AI in Data Engineering Certification
Published 11/2024
Created by YouAccel Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 182 Lectures ( 17h 42m ) | Size: 12 GB

Build a Strong Foundation in Generative AI Applications for Data Engineering Excellence.
What you'll learn
Understand GenAI's impact on data engineering and strategic data management.
Understand GenAI's impact on data engineering and strategic data management. Learn GenAI fundamentals tailored for data engineering applications.
Explore synthetic data generation and its benefits in data engineering.
Gain insights into automated data extraction techniques using GenAI.
Discover schema generation methods for unstructured data with GenAI.
Enhance data variety and augmentation techniques through GenAI.
Use GenAI for data enrichment and normalization in pipelines.
Study automated data validation and verification with GenAI tools.
Explore storage optimization strategies using GenAI models.
Apply GenAI for efficient data compression and reconstruction.
Automate data transformation workflows with GenAI capabilities.
Optimize data quality through cleansing, deduplication, and validation.
Integrate GenAI into legacy and real-time data pipelines.
Employ anomaly detection techniques with GenAI for data integrity.
Learn scalability and resource management for GenAI in cloud settings.
Implement continuous monitoring and maintenance for GenAI pipelines.
Requirements
No Prerequisites.
Description
This course delves into the groundbreaking impact of Generative AI (GenAI) on data engineering. Students will explore how GenAI, as a transformative technology, addresses various complex challenges within the data engineering landscape, providing solutions that enhance efficiency, scalability, and innovation. While the course emphasizes theoretical foundations, students will gain an in-depth understanding of how these principles are applied across critical areas of data engineering. Through a structured progression, the course takes learners from foundational knowledge of GenAI in data engineering to advanced concepts that illustrate how GenAI optimizes data-related processes. From initial data generation and ingestion to storage, transformation, and augmentation, each module introduces key theoretical insights that form the backbone of GenAI's contributions to the field.Beginning with an introduction to GenAI's role in data engineering, students will learn the essential concepts that underline the integration of generative models into data systems. The course examines how GenAI transforms traditional approaches, enabling data engineers to manage complex workflows and drive innovation. By focusing on the theory behind these transformations, the course provides a broad understanding of how generative models can generate synthetic data, automatically extract and process information, and adapt to unstructured data formats. This foundation sets the stage for more advanced topics, fostering a comprehensive view of GenAI's theoretical applications within data engineering.In the section on data ingestion, students will investigate how GenAI enables sophisticated techniques for data enrichment and validation. They will explore the theoretical underpinnings that allow GenAI to enhance the accuracy, reliability, and speed of data pipelines. Data engineers frequently face challenges in ensuring data consistency, especially in real-time and high-volume environments. This course segment sheds light on how generative models contribute to automating these workflows, from data normalization to real-time processing, providing engineers with tools to address persistent challenges in data ingestion.As data storage optimization is a crucial part of data engineering, the course examines how GenAI contributes to efficient data management. Students will understand how theoretical advancements in GenAI support data compression, reconstruction, and redundancy reduction. These techniques are essential for organizations handling large-scale data, as they allow for more efficient data storage and retrieval processes. By understanding the underlying mechanisms, students gain insights into how GenAI helps overcome limitations of traditional storage systems, thus optimizing data handling in cloud and on-premises environments.Data transformation is another area where GenAI's impact is profound. This section discusses how generative models assist in transforming, cleansing, and standardizing data, with an emphasis on the theoretical framework that makes these processes efficient and scalable. Data engineers will appreciate how GenAI automates repetitive tasks and enhances data quality by reducing duplications and errors, thus streamlining the data transformation workflows. Students will leave with an understanding of the theoretical aspects of GenAI that allow for cleaner, more structured, and more accurate data, which are essential in industries requiring precise and timely data handling.The course also covers data serving and reporting, where students will learn how GenAI improves automated reporting, data loading, and the creation of interactive dashboards. With a focus on the theoretical approaches GenAI uses to summarize and present data insights, students will see how this technology can simplify and accelerate decision-making processes within organizations. This module highlights the advantages of GenAI-driven data presentation, fostering a deeper understanding of how it enables data engineers to efficiently meet business needs in real-time.For those involved in augmenting existing data pipelines, this course explores how GenAI enhances both legacy and microservices-based pipelines. Students will understand the theoretical implications of integrating GenAI into various pipeline architectures, learning how these enhancements allow for real-time scalability and flexibility. By providing a foundation in GenAI's theoretical approach to pipeline optimization, this section gives students the tools to adapt existing infrastructure to incorporate generative models effectively.As the course concludes, it addresses advanced applications of GenAI, such as anomaly detection, data quality improvement, and scaling of GenAI pipelines. Each of these modules focuses on theoretical concepts, allowing students to understand how GenAI's unique attributes support robust data integrity, facilitate error detection and correction, and ensure scalability. Students will gain a solid foundation in the theories that inform best practices for GenAI integration in different cloud environments, as well as efficient resource management, parallel processing, and latency reduction for scalable systems.This comprehensive course, designed with a focus on theoretical foundations, equips students with the knowledge to understand and apply GenAI in diverse data engineering settings. By the end, they will possess a deep understanding of the various dimensions in which GenAI can be deployed to solve intricate data challenges, preparing them to leverage this technology in dynamic and evolving data engineering landscapes.
Who this course is for
Aspiring data engineers eager to understand GenAI applications.
IT professionals seeking foundational knowledge in GenAI-driven data workflows.
Data analysts aiming to enhance data processing with GenAI techniques.
Cloud architects interested in optimizing data engineering pipelines with GenAI.
Software developers exploring data engineering roles using generative AI.
Business analysts looking to leverage AI for data-driven decision-making.
Entry-level engineers aiming to boost efficiency in data handling and storage.
Homepage

https://www.udemy.com/course/generative-ai-in-data-engineering/

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Free Download Get Hired as a Product Manager | Applying & Interviewing
Last updated 11/2024
Created by Cole Mercer,Evan Kimbrell
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 47 Lectures ( 9h 18m ) | Size: 6.11 GB

Complete guide to applying, researching, & interviewing for a Product Management job. + Mock interviews & insider tips
What you'll learn
How to answer interview questions like a Product Manager
How to find & apply to the right Product Management positions
How to write an effective Cover Letter for a Product Management position
How to organize and optimize your resume or CV for Product Management applications
How to research a company and a Product Manager position prior to your interview
What questions to expect and prepare for prior to a Product Manager interview
How to correctly tackle Product Management behavioral interview questions
How to use the PAR / CAR framework to better answer "tell me about a time when" questions
How to correctly tackle Product Management product creation interview questions
How to correctly tackle Product Management estimation interview questions
How to correctly tackle Product Management instructional interview questions
How to reverse interview your interviewers and ask the right questions
How to spot red flags in companies and interview processes before you apply
How to make yourself stand out in a Product Management interview & application
How to adapt to any question you get in an interview by thinking like a Product Manager
How to make a great impression when interviewing virtually
How to tackle take-home case studies commonly included in Product Management applications
How to highlight your accomplishments in a way that Product Management hiring managers like
How to do effective side projects to increase your chance of being hired
How to effectively brand yourself online before applying for Product Management roles
How to get started with your first Product Management job and hit the ground running
Requirements
No previous experience needed. Can be taken by someone in any role with any level of experience.
Description
The role of "Product Manager" is currently one of the fastest growing, most in demand, and best paid positions in the entire tech industry. Fastest growing: Companies are expected to hire an additional 2,000 Product Managers this year, and this rate of hiring is expected to grow +20% for every year afterwards (Glassdoor currently ranks Product Manager as the #4 hottest hiring position in the US).In Demand: There are currently over 3,000 open Product Management positions in companies all over the worldBest Paid: Product Managers get paid on average $112,000 a year, with some companies paying closer to $192,000 a year even for junior level positions. This is on par with software engineers (!) despite the role being entirely non-technical.Do you want to become a Product Manager? If so, you'll have to navigate the notoriously difficult application and interview process. Take home case studies, brain teasers, and multiple rounds of interviews are typical if you want to get hired for any Product position.How you tackle these hiring challenges makes all the difference, and we're here to guide you through the entire process step-by-step. A successful Product Management application doesn't just consist of knowing the right answers and what questions to expect. To truly maximize your chances of landing the role, we took a holistic approach to the entire process: finding suitable roles, building your brand prior to applying, submitting applications, getting the interview, researching companies pre-interview, acing the interview, completing take-home work, and then deciding on the best offer. What's included in the course?We'll take you through the entire process for finding, applying to, and acing the interview for a Product Management position. We'll cover:How to think like and get inside the mindset of a Product Manager before you even start the processHow to find the right companies & positions to apply forHow to optimize your resume / C.V., and cover letter for getting Product Manager interviewsHow to research and prepare for each Product Manager interviewHow to complete case studies and take-home work, if neededHow to tackle the big 5 types of Product Manager interview question types: behavioral, product creation, estimation, analytical, & instructional. How to impress your interviewers by reverse interviewing them and ask good questionsHow to follow-up post interview and spot any red flags that might change your mind about the roleHow to hit the ground running when you do get a job offer and start your Product Manager roleIncluded as bonuses:• A full mock interview (Apple) with walkthrough instruction from beginning to end• 2 interviews with students that recently were hired as a Product Manager where they share insider tips• A full interview with a Product team lead in charge of hiring for all Product Roles• A full walkthrough of Product Creation / Design question (1 hour long)This course is perfect for those applying to their first Product Manager role, as well as anyone interested in transitioning internally to Product AND existing Product Managers who want to apply for a new Product role either internally or externally. Why learn from us?We've successfully helped over 148,000 students learn about Product Management, and over 1,000 students get hired or transition into a Product Management role at companies like Airbnb, Google, Facebook, Spotify, Oracle, IBM, and Amazon.Our courses on Product Management are the largest in the world, with a community of over 100,000 prospective and current Product Managers enrolled.Your primary instructor, Cole Mercer, has been a Senior Product Manager at companies like Soundcloud, Bonobos, and Mass Relevance. He's interviewed 40+ times for Product Management roles for companies like Google, Facebook, Palantir, Netflix, and even Udemy.Your instructorsCole Mercer has been a Senior Product Manager at Soundcloud, Bonobos, Mass Relevance, and has taught the Product Management course at General Assembly in Manhattan, NYC. He is now a full-time Product Management and Strategy consultant.Evan Kimbrell is a top rated Udemy instructor with numerous courses focused on Entrepreneurship. His courses have over 630,000 enrolled students and more than 32,000 five star reviews. For the past few years, he has also been running a digital agency that has produced over 100 web and mobile products for Fortune 500 companies and startups.
Who this course is for
Anyone interested in applying for a role in Product Management
Anyone interested in transitioning from their current role to a role in Product Management
Current Product Managers looking to improve their interview skills
Homepage

https://www.udemy.com/course/get-hired-as-a-product-manager-applying-interviewing/

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Free Download Get in Tune - Foster Interpersonal Communication and Connection at Work
Released 11/2024
With Nidhi Tewari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 47m 29s | Size: 164 MB

Develop the essential interpersonal communication and emotional intelligence skill of attunement to boost your social perceptiveness and connection while reducing conflict.
Course details
Attunement, or the ability to be in tune with yourself and others, is a key interpersonal communication skill for strengthening work relationships and emotional intelligence. It is based on developing your self and the social awareness to manage your emotions and connect with those around you. In this course, workplace mental health, neurodiversity, and work culture expert Nidhi Tewari, LCSW, explores the foundations of interpersonal neurobiology in order to identify opportunities to better attune to yourself and others. Gather insights on how to audit your interactions at work to pinpoint conversations where you're able to be more in tune with others, as well as challenging situations where a lack of attunement leads to disregulation or conflict. Along the way, Nidhi outlines practical strategies to build self-awareness and self-regulate. By the end of this course, you'll be prepared to put these skills into practice to enhance your attunement when communicating with others.
Homepage

https://www.linkedin.com/learning/get-in-tune-foster-interpersonal-communication-and-connection-at-work

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Free Download Goal Setting And Manifestation Masterclass
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.00 GB | Duration: 3h 3m
Revolutionize the way you approach your goals with Olympic Medalist & Performance Pshychologist sara Isakovic

What you'll learn
Master goal-setting basics: Learn to set realistic, achievable goals that align with personal and professional aspirations.
Manifest goals effectively: Apply visualization and actionable strategies to turn goals into tangible outcomes.
Increase self-awareness: Build self-awareness and harness personal motivation to stay committed and overcome challenges.
Create a personalized plan: Develop a clear, step-by-step action plan to achieve your goals with focus and purpose.
Overcome limiting beliefs: Identify and break through mental blocks that hinder progress, empowering yourself to achieve greater success.
Build sustainable habits: Learn to create and maintain habits that support long-term goal achievement and personal growth.
Requirements
No prior experience required; all necessary skills and knowledge will be taught.
Description
Discover the power of intentional goal-setting and manifestation with this transformative masterclass! Designed to guide you from setting meaningful goals to manifesting your dreams, this course provides practical tools and mental strategies to overcome obstacles, visualize success, and sustain motivation. Whether you're looking to advance in your career, improve personal well-being, or pursue a new passion, this course will give you the tools to confidently pursue and achieve your highest aspirations.Olympic medalist and UC Berkeley psychology grad, Sara Isaković's journey extends far beyond podium finishes. The intense mental training that propelled her to the 2008 Beijing Olympics sparked a lifelong passion for understanding the power of the mind. Not only did she excel as a 3-time NCAA champion swimmer, but she also pursued the science of peak performance, graduating with a degree in psychology. Driven by her thirst for knowledge, Sara went on to earn a Master's in Performance Psychology, conducting research with elite athletes, including Navy SEALs and Olympians.This unique blend of competitive experience and scientific insight allows Sara to craft goal-setting courses that go beyond theory-equipping you with the practical tools to achieve success in your own life. Let Sara guide you on this journey and start mastering your goals today!Expert Guidance: Led by Sara Isaković, ensuring insights from the forefront of mental training.Comprehensive Coverage: From foundational concepts to advanced strategies in personal goal setting and achievement.Dynamic Video Content: Engaging and informative videos make learning both enjoyable and effective.67 page PDF Goal Setting Workbook
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Breaking Goal-setting Barriers
Lecture 3 About Me
Lecture 4 Introducing Play To Make It Happen
Section 2: GOAL SETTING FOUNDATION
Lecture 5 STEP 1: REFLECT
Lecture 6 STEP 2: DEFINE YOUR GOAL
Lecture 7 STEP 3: SET A DATE
Lecture 8 STEP 4: CHOOSE YOUR SUPPORT SYSTEM
Lecture 9 STEP 5: WRITE OUT YOUR GOAL - Part 1
Lecture 10 STEP 5: WRITE OUT YOUR GOAL - Part 2
Section 3: MOTIVATION
Lecture 11 STEP 6: CREATE YOUR WHY - Part 1
Lecture 12 STEP 6: CREATE YOUR WHY - Part 2
Section 4: ROADMAP
Lecture 13 INTRODUCTION TO STEPS 7-10
Lecture 14 STEP 7: CREATE AN ACTION PLAN
Lecture 15 STEP 7: OVERVIEW
Section 5: MENTAL TRAINING
Lecture 16 STEP 8: ACQUIRE A PRODUCTIVE ATTITUDE - Intro
Lecture 17 STEP 8.A : Find Solutions
Lecture 18 STEP 8.B : Still Your Mind
Lecture 19 STEP 8.B : Task 1
Lecture 20 STEP 8.B : Task 2 & 3
Lecture 21 STEP 8.C : Build confidence through healthy self-image
Lecture 22 STEP 8.C : Exercise
Lecture 23 STEP 8.D : Gratitude
Section 6: BELIEFS AND VALUES
Lecture 24 STEP 9: CHOOSE EMPOWERING BELIEFS
Lecture 25 STEP 10: PICK MEANINGFUL VALUES
Section 7: VISUALIZATION
Lecture 26 STEP 11: VISUALIZE - INTRO
Lecture 27 STEP 11: VISUALIZE - Discover the Science
Lecture 28 STEP 11: VISUALIZE - Benefits
Lecture 29 STEP 11: VISUALIZE - Learn When and What to Visualize
Lecture 30 STEP 11: VISUALIZE - How to?
Section 8: TRACKING
Lecture 31 STEP 12: TRACK PROGRESS
Section 9: END
Lecture 32 The End
This course is designed for anyone looking to improve their goal-setting and manifestation skills, including individuals seeking personal development, those new to goal-setting techniques, and people who want to turn their visions into reality. It's ideal for anyone ready to take control of their life, whether you're pursuing career success, personal growth, or a more focused and intentional lifestyle.
Homepage

https://www.udemy.com/course/goal-setting-and-manifestation-masterclass/

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Free Download Google Cloud Apigee X Api Management Beginner To Guru (2024)
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.04 GB | Duration: 10h 7m
Apigee with 40+ hands-on examples, OAuth 2, JWT, Quota, Cache, Validations, KVM, IP Restrictions, JavaScript Policies

What you'll learn
Apigee X API Management from the scatch
More than 20 predefined Apigee policies
How to secure API proxies with OAuth 2.0, Api key and Basic Authentication
Anatomy of APIGEE API Management Platform and Proxies
In-depth Architecture of API Proxy and how to create them
Debugging, Tracing, Monitoring and Performance testing API Proxies
What is API first approach
Creating APIs with OpenApi Specifications
More than 30 practical exercises
Requirements
Basic knowledge on any one programming language. For Ex: Java or DotNet or Python
Basic knowledge on SOAP (Web service) API and REST (Web service) API
Basic idea about data formats i.e. XML, JSON, CSV
Should have a debit card or credit card to create GCP account (You will not be charged by GCP)
Description
You've just stumbled upon the most comprehensive, in-depth and practical oriented Apigee X API Management course. To learn this course you don't need to have any prior experience on any API Management tool. I have designed this course in a way that will take you from beginner to paid professional in Apigee X in step by step manner. You'll understand all concepts with practical examples and graphical diagrams. In almost all topics, I will explain what is happening behind the scenes with my drawings. I have been a trainer and developer for more than 13 years. In my 13 years of experience I understood one thing very clearly that learning from a trainer who just explains the theory is waste of time. Everyone should learn in-depth with practical examples. One should learn a problem along with a working solution so that when one faces the same problem he'll have the solution ready with him. That how you'll learn Apigee X in this course. What you'll learn in the course?What are APIs and various types of APIsWhat is the concept of MicroservicesWhat is Apigee X API Management toolWhy do we need to use Apigee XUnderstand API first approachDesign API specification using OAS 3.0Testing API spec using mocksCreate API Proxy in Apigee X UITest and DEBUG proxyOAuth 2.0, JWT policiesQuota, Spike Arrest policiesResponse Cache policyOAS Validations, SOAP Message Validations policiesKVM policyRaise Fault policyJavaScript policyJava Callout policyFlow callout, Service callout and Message Logging policiesAccess Entity, Extract Variables and Assign Message policiesJSON To XML, XML To JSON and XSL Transform policiesBasic Authentication policyAPI Metrics and Custom reports from Proxy AnalyzationLet's start our great journey together towards concurring the peaks of Apigee X.
Overview
Section 1: Introduction to the course
Lecture 1 Instructor introduction
Lecture 2 Important: Please Read
Lecture 3 Very Important: Who should take this course?
Lecture 4 The Course Structure and Who can learn this course
Lecture 5 How to Create a Gmail Email ID - Skip it if you know how already.
Section 2: Provision Apigee X account in GCP
Lecture 6 Important: Please Read
Lecture 7 Lab Setup in Your Computer
Lecture 8 Create GCP Account and Provision Apigee X Account in GCP
Lecture 9 How to Remove Apigee X from GCP
Section 3: Introduction To APIs and API Management with Apigee X
Lecture 10 Very Important: Have you already seen my Apigee Edge Course?
Lecture 11 Introduction To APIs and Microservices Architecture
Lecture 12 API Management with Apigee X
Section 4: Explore Apigee X UI, Create API Proxies, Understand API Proxy's Architecture
Lecture 13 Latest Update, Please Don't Skip The Video
Lecture 14 Explore Apigee X UI
Lecture 15 What is API Proxy and Architecture
Lecture 16 Creating and Testing Simple Greetings Proxy
Lecture 17 Exploring Simple Greeting Proxy
Lecture 18 Exploring Simple Greetings Proxy in New Apigee X UI
Lecture 19 Out Of The Box Policies
Lecture 20 Adding Policies to API Proxy
Lecture 21 Anatomy Of Apigee X and API Proxy
Lecture 22 Configure Environments and Environment Groups
Section 5: Create Open API Specification (OAS), Create Proxies with OAS, Debug Proxies
Lecture 23 What is API First Approach
Lecture 24 Understanding and Exploring OpenAPI Specification (OAS) Files
Lecture 25 Understanding IndianAir Flights API Backend Service
Lecture 26 Creating OAS File for IndianAir Flights API Proxy
Lecture 27 Creating API Proxy with OAS File
Lecture 28 Exploring and Debugging indianair-flights-api Proxy
Lecture 29 Import an API Proxy
Section 6: API Products, App Developers, Apps, Verify API Key Policy, OAS Validation Policy
Lecture 30 Securing API Proxy with Verify API Key Policy
Lecture 31 Understanding API Products, App Developers and Developer Apps
Lecture 32 Creating API Products
Lecture 33 Registering App Developers And Developer Apps
Lecture 34 Obtaining API Key and Accessing Secured API Proxy
Lecture 35 Enabling Validations with OAS Validations Policy
Section 7: Policies: Quota, Spike Arrest, Access Entity, Extract Variables, Flow Variables
Lecture 36 Quota Policy, Access Entity Policy And Extract Variables Policy
Lecture 37 Spike Arrest Policy
Lecture 38 Apigee Flow Variables
Section 8: Logging, Caching, Shared Flows, Flow Hooks and Restricting Access Based on IPs
Lecture 39 Message Logging Policy: Log Messages from API Proxy
Lecture 40 Restricting Access Using Access Control Policy
Lecture 41 Reusing Policy Configuration With Shared Flows
Lecture 42 Flow Hooks
Lecture 43 Improve API Proxy Performance With Response Caching Policy
Section 9: Security Policies: OAuth, JWT, Basic Authentication, Assign Message, JavaScript
Lecture 44 Assign Message Policy
Lecture 45 JavaScript Policy
Lecture 46 OAuth 2.0 Policy
Lecture 47 JWT: Secure APIs With JWT - Part 1
Lecture 48 JWT: Secure APIs With JWT - Part 2 with KVMs (Key Value Maps)
Lecture 49 Secure APIs With Basic Authentication
Section 10: Transformations: JSON To XML and XSLT Policies
Lecture 50 JSON To XML Policy
Lecture 51 XSL Transform Policy
Section 11: Route Rules, Target Servers, Streaming, Load Balancing
Lecture 52 Route Rules
Lecture 53 Load Balancing with Target Servers
Lecture 54 Streaming and Other Properties
Section 12: Handling Faults or Errors In API Proxies
Lecture 55 Handling Faults in Proxy Endpoint And Target Endpoint
Section 13: Developer Portals, Self Servicing of APIs
Lecture 56 Create And Customize Developer Portals
Lecture 57 Self Serving through Developer Portal
Programming developers who are wanting to get into API Management,API Developers who are wanting to learn API Management,Fresh out of campuses who are seeking jobs with high pachages,Experienced IT employees who are looking for better career opportunities
Homepage

https://www.udemy.com/course/apigee-x/

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Free Download Google Cloud Data Engineer by TechTrapture
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.40 GB | Duration: 17h 0m
From Basics to Mastery in Data Engineering with GCP

What you'll learn
Understand core Cloud and data engineering concepts and their applications within Google Cloud.
Master GCP data tools and services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and more.
Design and implement data pipelines for efficient data ingestion, transformation, and storage.
Implement best practices for data security, governance, and cost management in GCP.
Prepare for GCP Data Engineer certification exams (optional), enhancing career prospects in data engineering.
Requirements
A strong eagerness to learn - curiosity and motivation are key as we dive into the exciting world of data engineering!
Description
Unlock the power of data engineering with Google Cloud Platform! This course is your comprehensive guide to becoming a proficient data engineer capable of building and managing large-scale data solutions on GCP. Designed for both beginners and experienced professionals, this course covers all essential skills needed to excel in data engineering roles.What You'll LearnIn this course, you'll dive into GCP's suite of data tools and services, mastering skills in data processing, transformation, storage, and more. Topics include:Core Data Engineering Concepts: Get familiar with key data engineering principles, terminology, and the GCP ecosystem.Data Storage and Management: Explore Cloud Storage, BigQuery, and other GCP services to store and manage data efficiently.Data Pipelines: Learn how to design and implement both batch and real-time data pipelines using GCP services like Dataflow and Pub/Sub.SQL and Python for Data Engineering: Enhance your querying and scripting skills to handle data processing tasks on GCP.Security, Governance, and Cost Management: Implement best practices to ensure data security, governance, and cost-effective cloud solutions.Certification Preparation: Get tips and guidance to prepare for GCP Data Engineer certification exams, making you ready for advanced career opportunities.Access to full source Code: I'm providing full source code access for all projects and examples, giving you the resources to practice, explore, and customize further.
Overview
Section 1: Introduction
Lecture 1 Introduction to instructor
Lecture 2 Introduction to Google Cloud Data Engineer certification
Lecture 3 How to register for GCP certifications
Lecture 4 How to Create Free trial account in Google Cloud
Section 2: Overview of Compute Services
Lecture 5 Compute Services Overview
Lecture 6 Creating First GCP VM Instance
Lecture 7 Google App Engine
Section 3: Google Cloud Networking
Lecture 8 Google cloud Networking Services
Section 4: Storage Services in Google Cloud
Lecture 9 Overview of Storage services
Lecture 10 Google Cloud Storage Introduction
Lecture 11 Google Cloud Storage features -[Hands-on]
Lecture 12 Persistent Disks and snapshots
Lecture 13 Creating Snapshot Policy
Lecture 14 Mount GCS Bucket as Filesystem
Section 5: Database services in Google Cloud
Lecture 15 Getting Started with Cloud SQL
Lecture 16 Migrate On-prem MySQL to Google Cloud
Lecture 17 Cloud Spanner
Lecture 18 Create Cloud Spanner Instance
Lecture 19 Create Cloud Spanner Change Stream
Lecture 20 Cloud BigTable
Lecture 21 Create BigTable instance
Section 6: BigQuery
Lecture 22 Google Cloud BigQuery
Lecture 23 Create Dataset and Table in BigQuery
Lecture 24 Partitioning in BigQuery
Lecture 25 BigQuery Access Control
Lecture 26 Federated Queries in BigQuery
Lecture 27 Restore Deleted data in BigQuery
Lecture 28 Streaming Buffer in BigQuery
Lecture 29 Gemini AI in BigQuery ( Former Duet AI)
Section 7: Data Analytics Services
Lecture 30 Data Analytics Services Overview
Lecture 31 Cloud Pub/Sub
Lecture 32 Introduction to Dataflow
Lecture 33 Create batch Job using Dataflow
Lecture 34 Load Data from GCS to BigQuery using Dataflow
Lecture 35 Extract Data from Cloud Spanner to GCS
Lecture 36 Create Streaming Job using Dataflow
Lecture 37 Create Spanner change stream using Dataflow streaming Job
Section 8: Data Fusion
Lecture 38 Introduction to Cloud Data Fusion
Lecture 39 Create Data Pipeline using Cloud Data Fusion
Section 9: Cloud Composer
Lecture 40 Introduction to Cloud Composer
Lecture 41 Creating Cloud Composer Environment
Lecture 42 Cloud Composer Architecture
Lecture 43 Creating Airflow Dag using Cloud composer
Lecture 44 Restarting Composer Services
Section 10: Google Cloud AI/ML Services
Lecture 45 Overview of Google Cloud AI/ML Services
Lecture 46 Vision API
Lecture 47 Natural Language Processing API
Lecture 48 Video Intelligence API
Lecture 49 Vertex AI Studio ( Now AI Studio)
Lecture 50 Custom Machine learning model using Vertex AI
Section 11: Google Cloud Data Studio (Now Looker Studio)
Lecture 51 Create Dashboard in Data Studio
Section 12: Data Security
Lecture 52 Encrypting persistent Disk
Lecture 53 Encryption at Cloud Storage Bucket
Lecture 54 Data loss Prevention API
Lecture 55 Inspect Sensitive Data Using Data Loss Prevention API
Section 13: Data Engineering Projects
Lecture 56 Creating an ETL Data Pipeline with Cloud Data Fusion & Airflow-Part-1
Lecture 57 Creating an ETL Data Pipeline with Cloud Data Fusion & Airflow - part-2
Lecture 58 Cricket Statistics Data Pipeline in Google Cloud using Airflow
Lecture 59 Automated Data Pipeline for Sales Data
Lecture 60 Building a Sentiment Analysis Data Pipeline from Support Chat using Gemini
Lecture 61 Automate GCS to BigQuery Dataload
Beginners who want a solid foundation in data engineering concepts and hands-on skills on Google Cloud.,Data Analysts and Developers looking to transition into data engineering roles or expand their skill set.,Cloud Engineers and IT Professionals aiming to specialize in data solutions using Google Cloud's tools and services.,Experienced Data Engineers wanting to deepen their knowledge of GCP's data services for handling large-scale data systems and advanced analytics.
Homepage

https://www.udemy.com/course/google-cloud-data-engineer/

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Free Download Google Cloud fundamentals (GCP) with practices and labs
Published 11/2024
Created by Apasoft Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 104 Lectures ( 6h 9m ) | Size: 2.36 GB

Learn in a PRACTICAL way the fundamental concepts of Google Cloud Platform and how to manage its infrastructure
What you'll learn
Learn the basics of Google Cloud Platform
Learn the basics of network management in Google Cloud Platform
Learning to manage virtual machines
Learn general Google Cloud security concepts
Understanding Kubernetes and Containers on Google Cloud
See how different storage options work
And other concepts you should know to move on Google Cloud
Requirements
You don't need cloud knowledge, just basic computing and networking skills
An internet connection
Create an account on Google Cloud Platform
An internet Browser
Description
In the world of technology and computing, the cloud has become the fundamental pillar for the success and efficiency of companies today.Google Cloud, with its powerful infrastructure and cutting-edge services, is one of the main options for companies and professionals looking to take full advantage of the benefits of the cloud.This course is a complete introduction to this industry-leading cloud services platform. It is a PRACTICAL course with many labs, examples, and practices.We not only see theory but in all sections we see how to work in a real way with the components.Designed for both beginners and IT professionals with limited experience in the cloud, this course offers the essential knowledge and skills to get the most out of Google Cloud Platform (GCP).Among other things, we'll cover the following points:Cloud Fundamentals: You'll start by understanding the key concepts of cloud computing.Creating a Google Cloud Account: You'll be guided through creating a Google Cloud account and initial setup.Project and Resource Management: You'll learn how to create, configure, and manage projects and resources within a custom VPC (Virtual Private Cloud).Working with virtual machinesUsing other processing products like Cloud Run, Cloud Functions, etc.Storage and Databases: You'll explore services like Google Cloud Storage, Cloud SQL, and Bigtable to manage data and storage in the cloud.Application Development: You'll discover how to work with applications on Google Cloud, using Google App Engine, Google Kubernetes Engine, and more.Cloud Security: You'll learn how to use IAM (Identity and Access Management) to protect your resources in the cloud.Networking and Connectivity: You will learn about VPCs, routes, load balancers, and other conceptsMonitoring and Diagnostics: You will explore monitoring, logging, and diagnostic tools to maintain effective control of your cloud resources and applications.If you have any questions or concerns, please contact me. I'll be happy to assist you.I hope to see you soon and that you enjoy the courseApasoft Training
Who this course is for
To all professionals who want to expand their knowledge in Cloud environments
Anyone who wants to get familiar with Google Cloud
Homepage

https://www.udemy.com/course/google-cloud-fundamentals-gcp-with-practices-and-labs/

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Free Download Grammar and Conjunctions of the Saudi Dialect (Urban Hijazi)
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 19m | Size: 555 MB
Speak Like a Native: All you need to know about grammar in the Saudi Dialect (Urban Hijazi)

What you'll learn
Master the grammar of Urban Hijazi Arabic, including nominal sentences, possessive suffixes, and noun-adjective agreement for fluent communication
Master personal pronouns, demonstratives, and essential question words to make your conversations sound natural and effortless
Understand and apply rules of negation, including negative pronouns and expressions, to create clear and accurate sentences
Express time, frequency, and likelihood with precision using numbers, telling time, and frequency expressions to enhance communication
Requirements
No prior knowledge of Arabic is necessary
Description
Ready to take your Arabic skills to the next level? Whether you live in Saudi Arabia, plan to visit, or simply want to connect with Saudi culture and people, this course will make grammar and conjunctions practical and easy to use for real-life situations in Saudi Arabia. Perfect for both beginners and those with some experience, you'll gain the skills to communicate naturally, confidently, and fluently.We'll cover everything from building clear sentences to using conjunctions effortlessly and naturally. You'll learn to use personal pronouns, possessive suffixes, numbers, prepositions, negation, and talk about time, frequency, and more the way locals do. Plus, we'll break down essential grammar concepts to make your Arabic sound smooth, authentic, and perfectly suited for life in Saudi Arabia.Want to express yourself clearly, ask questions easily, or make conversation without feeling lost? This course will help you feel right at home in any Saudi setting, from casual chats to professional encounters. With practical examples and straightforward explanations, you'll get the hang of the Urban Hijazi dialect quickly and effectively.By the end of this course, you'll be ready to speak confidently and navigate life in Saudi Arabia with ease. Enroll now and start connecting like a local!
Who this course is for
Learners of Arabic (of all levels) that want to learn the Saudi dialect, specifically Urban Hijazi
Homepage

https://www.udemy.com/course/grammar-and-conjunctions-of-the-saudi-dialect-urban-hijazi/

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