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Three.js Shading Language and Signed Distance Fields

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Free Download Three.js Shading Language and Signed Distance Fields
Published: 3/2025
Created by: Sean Bradley
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 6m ) | Size: 4.8 GB

Learn all about the Three.js Shading Language while specialising in Signed Distance Fields.
What you'll learn
Threejs Shading Language
Signed Distance Fields
Using TSL with import maps or a build tool
Setting up a development environment
TSL imports or color, texture, convertColorSpace and positionLocal
Writing Fragment and Vertex Shaders
Generate patterns using fract, sin, cos, atan, floor, mod
Drawing SDF lines and shapes in 2D and 3D
Using Uniform and UniformArray
Drawing distance lines
Colouring 2D and 3D SDFs
Raymarching
Lighting 3D SDFs
SDF Shadows
SDF Reflections
SDF Union, Intersect and Subtraction
Requirements
This is an intermediate course about Three.js and you should already have some experience using it.
You will need a modern graphics card capable of running GLSL and WGSL shader code.
Description
Three.js Shading Language (TSL) is a framework built to simplify shader development within the Three.js ecosystem.Signed Distance Fields are a way to draw scenes and animations predominantly using mathematical functions.You can draw anything with Signed Distance Fields, and TSL makes that more accessible for developers, especially those without deep knowledge of low-level GLSL, WGSL or graphics programming.So, in the course, we will cover,Basic environment development setup,Importing the required libraries using import maps or a bundler / build tool,Discuss the pre-requisites of a TSL scene,Fragment Shader coordinates,Create several animated patterns from easy to more advanced,Draw various styles of lines,Implement Uniforms and UniformArray,Interact with our scenes using a GUI,Learn the basics of Signed Distance Fields,Draw distance lines using SDF information,Colouring and animating 2D SDFs,Learn the Basics of Raymarching,Lighting 3D SDFs using Lambertian, Ambient and Phong specular,Using Hard and Soft Shadowing,Implement SDF Reflections,Colouring and animating 3D SDFs.And moreBy using TSL's node-based shader graph system, developers can create and manage shaders without needing to write complex GLSL or WGSL code manually.TSL is renderer-agnostic, meaning shaders created with it work seamlessly across different rendering backends like WebGL and WebGPU.Since TSL is written at the Javascript or TypeScript layer, along side your existing Three.js code, you will be able to benefit from the features provided by your IDE, such as IntelliSense code completion, code formatting and linting. Your final production code can also benefit from tree shaking provided by your bundler.Thanks for taking part in my Three.js Shading Language (TSL) and Signed Distance Fields course.Sean
Who this course is for
People who have experience with Threejs and want to write shader code using the techniques of signed distance fields.
Homepage:
Код:
https://www.udemy.com/course/threejs-shading-language/






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Код:
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Udemy - 5G & AI for everyone

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Free Download Udemy - 5G & AI for everyone
Published: 2/2025
Created by: Rahul kaundal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 54m ) | Size: 1.57 GB

5G & AI Overview, 5G Architecture, Use cases of AI, Machine learning, deep learning, Gen AI in telecom
What you'll learn
5G Overview
Artificial Intelligence Basics
AI use in Telecom
5G Network Architecture
Machine Learning & its implementation in Telecom
Machine Learning Basics
Supervised Learning
Linear Regression
Logistic Regression
Requirements
It is a course for everyone from beginner to expert level
Description
5G, known as fifth generation, is a technology focused on providing better wireless connectivity in telecom domain by enabling -•Enhanced broadband (eMBB)•Massive machine to machine communication (MMTC)• Ultra reliable low latency communication (URLLC)AI and Machine learning is fueling the efficiency in Telecom with new use cases- including predictive analytics, network optimization, data-driven planning.1. Overview of 5GEvolution of Telecom TechnologiesWhat is 5G?Technical Capabilities of 5G5G Design Goals2. AI BasicsWhat is Artificial Intelligence (AI)?Case Study: How Siri WorksExample: Telecom Chatbots Leveraging AIWhat is Machine Learning (ML)?Example: Netflix Recommendation System & Telecom NetworksWhat is Deep Learning?How Facial Recognition WorksExample: Detecting KPI Deviations and Traffic SpikesWhat is Generative AI (GenAI)?Example: AI-Driven Predictive Use Cases in Telecom3. 5G ArchitectureOverview of Telecom Network ArchitectureBuilding Blocks of 5GRadio Access Network (RAN)Transport NetworkCore Network4. Machine Learning & its implementation in Telecom4.1 Machine Learning BasicsTypes of ML: Supervised, Unsupervised, ReinforcementML Use Cases in Telecom Networks4.2 Supervised LearningWhat is Supervised Learning ?Types of supervised learningUse of Supervised learning in Telecom4.3 Linear RegressionWhat is Linear RegressionHypothesisCost FunctionGradient DescentUse of linear regression in Telecom4.4 Logistic RegressionWhat is Logistic RegressionSigmoid Function
Who this course is for
Suitable for the engineers working in 5G and AI space or planning to get into technical domain of 5G and AI
Suitable for Managers working in telecom operators and planning to deploy or manage 5G networks
Suitable for beginners who are interested to get into telecom domain and learn new technology such as 5G and AI
Homepage:
Код:
https://www.udemy.com/course/5g-ai-for-everyone/






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Udemy - AWS Certified AI Practitioner (AIF-C01) By Chad Smith

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Free Download Udemy - AWS Certified AI Practitioner (AIF-C01) By Chad Smith
Released 3/2025
By Chad Smith
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5h 43m | Size: 1.51 GB

Table of contents
Introduction
AWS Certified AI Practitioner (AIF-C01): Introduction
Module 1: Exam Foundation
Module Introduction
Lesson 1: Exam Guide
Learning objectives
1.1 Introduction
1.2 Target Candidate Description
1.3 Exam Content
1.4 Exam Question Domains
Module 2: Fundamentals of AI and ML
Module Introduction
Lesson 2: Basic AI Concepts
Learning objectives
2.1 Basic AI Terminology
2.2 Introduction to Machine Learning
2.3 Introduction to Deep Learning
2.4 Question Breakdown 1
2.5 Question Breakdown 2
Lesson 3: Practical Use Cases For AI
Learning objectives
3.1 AI Patterns and Anti-patterns
3.2 ML Techniques
3.3 Real-world AI Applications
3.4 AWS Managed AI/ML Services
3.5 Question Breakdown 1
3.6 Question Breakdown 2
Lesson 4: ML Development Lifecycle
Learning objectives
4.1 ML Pipeline Components
4.2 ML Model Sources and Deployment Types
4.3 Introduction to ML Ops
4.4 AWS ML Pipeline Services
4.5 ML Model Performance Metrics
4.6 Question Breakdown 1
4.7 Question Breakdown 2
Module 3: Fundamentals of Generative AI
Module Introduction
Lesson 5: Basic Concepts of Generative AI
Learning objectives
5.1 Basic Generative AI Terminology
5.2 Generative AI Use Cases
5.3 Foundation Model Lifecycle
5.4 Question Breakdown 1
5.5 Question Breakdown 2
Lesson 6: Generative AI Capabilities and Limitations
Learning objectives
6.1 Generative AI Advantages
6.2 Generative AI Disadvantages
6.3 Model Selection Decision Tree
6.4 Generative AI Business Value and Metrics
6.5 Question Breakdown 1
6.6 Question Breakdown 2
Lesson 7: AWS Generative AI Offerings
Learning objectives
7.1 AWS Generative AI Services and Features
7.2 AWS Generative AI Advantages and Benefits
7.3 AWS Generative AI Cost Tradeoffs
7.4 Question Breakdown 1
7.5 Question Breakdown 2
Module 4: Applications of Foundation Models
Module Introduction
Lesson 8: Foundation Model Design
Learning objectives
8.1 Pre-trained Model Selection Criteria
8.2 Model Inference Parameters
8.3 Introduction to RAG
8.4 Introduction to Vector Databases
8.5 AWS Vector Database Service
8.6 Foundation Model Customization Cost Tradeoffs
8.7 Generative AI Agents
8.8 Question Breakdown 1
8.9 Question Breakdown 2
Lesson 9: Foundation Model Performance
Learning objectives
9.1 Foundation Model Performance Metrics and Evaluation
9.2 Foundation Model Business Objective Criteria
9.3 Question Breakdown 1
9.4 Question Breakdown 2
Lesson 10: Foundation Model Training and Fine Tuning
Learning objectives
10.1 Foundation Model Training
10.2 Foundation Model Fine-tuning
10.3 Foundation Model Data Preparation
10.4 Question Breakdown 1
10.5 Question Breakdown 2
Lesson 11: Prompt Engineering
Learning objectives
11.1 Prompt Workflow
11.2 Prompt Engineering Concepts
11.3 Prompt Engineering Techniques
11.4 Prompt Engineering Best Practices
11.5 Prompt Engineering Risks and Limitations
11.6 Question Breakdown 1
11.7 Question Breakdown 2
Module 5: Responsible and Secure AI Solutions
Module Introduction
Lesson 12: Responsible AI System Development
Learning objectives
12.1 Responsible AI Features
12.2 AWS Responsible AI Tools
12.3 Responsible AI Model Selection Practices
12.4 Generative AI Legal Risks
12.5 AI Dataset Characteristics
12.6 AI Bias and Variance
12.7 AWS AI Bias Detection Tools
12.8 Question Breakdown 1
12.9 Question Breakdown 2
Lesson 13: Transparent and Explainable AI Models
Learning objectives
13.1 Transparency and Explainability Definitions
13.2 AWS Transparency and Explainability Tools
13.3 AI Model Safety and Transparency Tradeoffs
13.4 Human-centered AI Design Principles
13.5 Question Breakdown 1
13.6 Question Breakdown 2
Lesson 14: AI Security
Learning objectives
14.1 AWS AI Security Services and Features
14.2 Data Citations and Origin Documentation
14.3 Secure Data Engineering Best Practices
14.4 AI Security and Privacy Considerations
14.5 Question Breakdown 1
14.6 Question Breakdown 2
Lesson 15: AI Governance and Compliance
Learning objectives
15.1 AWS Governance and Compliance Services
15.2 Data Governance Strategies
15.3 Governance Protocols and Compliance Standards
15.4 Question Breakdown 1
15.5 Question Breakdown 2
Summary
AWS Certified AI Practitioner (AIF-C01): Summary






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Код:
Rapidgator
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Udemy - Advanced Data Science Methods and Algorithms

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Free Download Udemy - Advanced Data Science Methods and Algorithms
Published: 2/2025
Created by: Henrik Johansson
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 73 Lectures ( 35h 32m ) | Size: 13.7 GB

Learn Advanced Data Science Methods and Algorithms with Pandas and Python
What you'll learn
Knowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasks
Deep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidence
Advanced ensemble models such as the XGBoost models for prediction and classification
Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning
Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries
Advanced knowledge of A.I. prediction/classification models and automatic model creation
Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
Master the Python 3 programming language for Data Handling
Master Pandas 2 and 3 for Advanced Data Handling
Requirements
The four ways of counting (+-*/)
Some Experience with Data Science, Data Analysis, or Machine Learning
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
Programming experience is not needed and you will be taught everything you need
The course only uses costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included
Description
Welcome to the course Advanced Data Science Methods and Algorithms with Pandas and Python!Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Algorithms to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Data Science methods and algorithms plus Pandas and Python. This course has exclusive content that will teach you many new things about methods and algorithms.This is a four-in-one master class video course which will teach you to advanced Regression, Prediction, Classification, Supervised Learning, Python 3, Pandas 2 + 3, and advanced Data Handling.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.You will learn to master the Python 3 programming language, which is one of the most popular and useful programming languages in the world, and you will learn to use it for Data Handling.You will learn to master the Pandas 2 and future 3 library and to use Pandas powerful Data Handling techniques for advanced Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language, and combined creates the world's most powerful coding environment for Advanced Data Handling.You will learnKnowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasksDeep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeMaster the Python 3 programming language for Data HandlingMaster Pandas 2 and 3 for Advanced Data HandlingAnd much more.This course includesa comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, or Pythonan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, Classification, Python, Pandas and Data Handling! These are the most important and useful tools for modeling, AI, and forecasting. Data Handling is the process of making data useful and usable for regression, prediction, classification, and data analysis.Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks. Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Data Science Methods and Algorithms Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!Anyone who wants to master Pandas for Data Handling!Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, Python, Pandas, and Data Handling.Course RequirementsThe four ways of counting (+-*/)Some Experience with Data Science, Data Analysis, or Machine LearningEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionProgramming experience is not needed and you will be taught everything you needThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 35+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
Who this course is for
Anyone who wants to learn Advanced Data Science Methods and Algorithms
Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!
Anyone who wants to master Pandas for Data Handling!
Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!
Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!
Homepage:
Код:
https://www.udemy.com/course/advanced-data-science-methods-and-algorithms/






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Udemy - Advanced IELTS Esay Writing Training

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Free Download Udemy - Advanced IELTS Esay Writing Training
Published: 2/2025
Created by: Amardeep Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 22m ) | Size: 1.3 GB

Learn how to write 7 Bands Essays
What you'll learn
How to write opinion essays
How to write discussion essays
How to write cause and effect essays
How to Write advantage and disadvantage essays
Requirements
There are no pre-requisities for this course
Description
Want to achieve a 9-band score in IELTS Writing Task 2?This free course provides a structured, step-by-step approach to mastering high-scoring essay writing.You'll learn how to organize your responses effectively, present well-developed arguments, and write with the clarity and coherence needed for top marks. Our lessons are designed around official IELTS assessment criteria, ensuring you avoid common pitfalls while refining your writing technique.We simplify the essay-writing process into easy-to-follow steps. You'll gain in-depth insights into planning, structuring ideas, improving vocabulary, enhancing grammar, and more. By applying these proven strategies, you'll be able to craft well-structured essays that showcase logical reasoning and precise expression.Designed for both beginners and those looking to boost their previous IELTS writing scores, this course includes real essay samples and practice exercises to track your progress. By the end, you'll confidently tackle any IELTS essay prompt, meeting the expectations of examiners with ease.If you're looking to enhance your essay structure, sharpen your writing style, or gain the confidence to excel, this course is for you. Start your journey toward a 9-band IELTS Writing score today!As of now, only essay writing lectures are there, but in the future, we are planning to include task 1 lectures also.
Who this course is for
Students appearing in IELTS exam
Homepage:
Код:
https://www.udemy.com/course/celpip-practice/






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Udemy - Analysis of Beams (2025)

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Free Download Udemy - Analysis of Beams (2025)
Published: 3/2025
Created by: Durga Rao Miriyala
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 50 Lectures ( 4h 23m ) | Size: 1.14 GB

Strength of Materials, Beams, Shear Force, Bending Moment, Shear Stress, Bending Stress, Slope, Deflection
What you'll learn
Understand the Types of Beams, Supports & Loadings
Calculate and Plot the Axial Force, Shear Force & Bending Moment for various cross-sections along a beam's length
Calculate the maximum induced Bending Stress in a beam to check whether it is below the material's permissible normal stress limits
Calculate the maximum induced Shear Stress in a beam to check whether it is below the material's permissible shear stress limits
Find the Slope and Deflection equations for any cross section along a beam's length, and check that the maximum deflection is less than the permissible limits
Requirements
Basic Integral and Differential Calculus
Engineering Statics (Mechanics)
Description
This course on Analysis of Beams, consisting of 50 lecture videos and spanning about 4 hours and 24 minutes in total, is designed for learners with little knowledge of Statics, and is aimed at a beginner to an intermediate level of understanding.Beams cover a vast portion of the basic Strength / Mechanics of Materials course, and is a prerequisite to many advanced subjects of undergraduate studies. The core principles of Beams, and Strength of Materials in general, apply to many disciplines viz., Mech E, Prod or Mfg E, Civil E, Aeronautical E, and Architectural Engineering, to name a few.In this course, you shall first learn how to calculate the internal resisting forces and moments developed within any cross-section along the beam's length, in response to the applied loads and applied moments; and then plot the corresponding values in the form of diagrams. From this, you shall be able to calculate the maximum bending and shear stresses induced that may be responsible for failure, if the permissible stress limits of the beam material are exceeded. Failure may also happen due to excessive deformations, hence you shall also learn how to calculate the slopes and transverse deformations (called deflections).The information obtained through the bending and shear stresses, and slopes and deflections, is useful for the design and analysis of structures, ensuring safety and stability.A number of examples shall be solved for various beam types and loadings, starting with the most basic to reasonably complex ones. To make the subject simple to understand, the course does not delve much into the rigorous derivation aspects of underlying formulas, but more attention shall be given for the actual usage of the formulas in solving a given problem instead.A small but sufficient number of practice examples shall be listed at the end of every core topic. While it is advised to take notes during the lectures, yet, apart from the lecture videos, electronic documents of the whiteboard material used shall also be appended for ready reference.
Who this course is for
"Analysis of Beams" is a major part of the "Strength / Mechanics of Materials" course, and is aimed at the undergraduate students of mechanical / civil / production / manufacturing / aeronautical / architectural engineering students. The level of understanding is beginner to intermediate.
Homepage:
Код:
https://www.udemy.com/course/analysis-of-beams/






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Код:
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Udemy - Apache Cassandra Admin Essentials For Future DBA

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Free Download Udemy - Apache Cassandra Admin Essentials For Future DBA
Published: 2/2025
Created by: Hy TecenerG
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 37m ) | Size: 1.74 GB

Cassandra Up And Running
What you'll learn
Cassandra Architecture
Installation And Configuration Of Cassandra
Deploy A Cassandra Cluster
CQL Basics And Essentials
Backup, Restore And Recovery
Data Migration
Monitoring And Managing Cassandra
Securing Cassandra
Performance Tuning
Requirements
Laptop With Good Internet Connection
Eager And Curious To Learn
Description
This comprehensive course provides an in-depth introduction to Apache Cassandra administration, equipping system administrators and database professionals with the skills necessary to manage and maintain large-scale, distributed databases. Apache Cassandra is an open-source NoSQL database designed for scalability, high availability, and performance, making it ideal for applications that require massive amounts of data and continuous uptime.The course covers the essential concepts of Cassandra architecture, installation, and configuration, followed by key operational topics such as backup and recovery, monitoring, security, and troubleshooting. Students will gain basic hands-on experience with installation, configuration, commands practice, protection and security of Cassandra while learning to deploy clusters effectively in on-premises environments. Participants will learn the architecture, configuration, and operational aspects of Cassandra, including how to design and manage a distributed database system.Key Topics Include:Introduction to NoSQL databases and CassandraCassandra architecture Installation and configuration of Cassandra clustersBackup and recovery strategiesMonitoring Cassandra Security best practices in CassandraDeploy ClustersThe course does not cover performance tuning, managing clusters, Cassandra in cloud etc and these topics will be covered in part 2.By the end of this course, participants will be equipped to administer and optimize Apache Cassandra databases in a single node, ensuring reliability in production environments.
Who this course is for
Database Administrators
Database Developers
Database Engineers
Application Developers
Software Engineers
Cassandra Enthusiasts
Homepage:
Код:
https://www.udemy.com/course/apache-cassandra-admin-essentials-for-future-dba/






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Код:
Rapidgator
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Udemy - Basic Power BI by Excel Mojo

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Free Download Udemy - Basic Power BI by Excel Mojo
Published: 2/2025
Created by: Excel Mojo
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 37 Lectures ( 5h 10m ) | Size: 2.76 GB

Master Basic Power BI: From Reports and Visualizations to DAX and Data Transformation
What you'll learn
Master the Power BI interface, create reports, and visualize data using various charts, tables, and slicers.
Gain hands-on experience with DAX functions, measures, and calculated columns to analyze and transform data.
Learn to use Power Query Editor for cleaning, transforming, and shaping data effectively.
Create dynamic, interactive dashboards and reports, including mobile-friendly designs.
Publish and share reports on Power BI Service and integrate with Excel for seamless data management.
Requirements
A stable internet connection
A laptop, desktop, or any other device that allows you to access the course videos
MS Excel installed on the device
Description
This Basic Power BI course is designed to provide learners with a comprehensive understanding of Power BI, from its interface to advanced data transformations and visualizations. The course begins with an introduction to Power BI and its user interface, ensuring you are comfortable navigating the desktop application. You'll then learn how to create and format tables, explore various visualization types, and understand aggregation methods to summarize data effectively.The course covers key visualization techniques, including matrix visualization, card visualizations for displaying single values, and slicers and filters for data selection. You'll also dive into a range of charts, such as clustered column charts, stacked graphs, area graphs, ribbon graphs, and scatter charts, to help you communicate your data insights visually. Additionally, you'll learn about Power BI's decomposition tree visual, enabling dynamic, multi-dimensional data exploration.As you progress, you'll gain practical experience in creating interactive reports and dashboards, publishing them to Power BI Service, and even designing reports for mobile devices. The course also covers the use of themes, custom visuals, and calculated columns, enhancing the overall design and functionality of your reports.A significant portion of the course focuses on DAX (Data Analysis Expressions), where you'll learn essential functions like SUM, AVERAGE, and DATE functions, as well as more advanced topics like relationships and measures. Power BI's Query editor and Power Query transformations are explored in depth, providing learners with the tools needed for effective data cleaning and manipulation. By the end of the course, you'll be proficient in connecting Power BI to Excel, creating pivot tables, and exporting data, ensuring you can integrate Power BI seamlessly into your workflows.
Who this course is for
Beginners who want to learn the fundamentals of Power BI and data visualization techniques
Business analysts and data professionals looking to enhance their reporting and analysis skills
Anyone interested in mastering DAX functions and data transformation in Power BI
Professionals who need to create interactive reports and dashboards for data-driven decision-making
Excel users who want to expand their skills and seamlessly integrate Power BI into their workflows
Homepage:
Код:
https://www.udemy.com/course/basic-microsoft-power-bi/






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Udemy - CAN Protocol Training From Basic to Advanced

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Free Download Udemy - CAN Protocol Training From Basic to Advanced
Published: 2/2025
Created by: Soma Shekar Rage
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 37m ) | Size: 726 MB

CAN protocol tutorial
What you'll learn
In depth understanding of CAN protocol from basic to Advance level
you will be aware of all concepts of CAN protocol
Frame types, Error mechanism, and summary of each topic
after this course you will be able to answer CAN interview question easily
Requirements
English and little know how on Embedded systems
Description
CAN protocol is widely used in the automotive industry and in other domains also, this course is helpful for freshers and experienced people who want to pursue the career in the automotive industry. This course will cover all aspects of CAN protocol from automotive industry oriented. Most of Automotive companies are using CAN protocol for in vehicle communication between electronic control units. as an industry expert i can say learning CAN protocol is an added advantage to your career and personal growth.CAN is serial communication protocol will be used to communicate the nodes in network. and CAN has good error mechanism capability so that it is widely popular in the automotive. CAN protocol supports the speed from 500kbps to 1Mbps. this course also covers some of interesting topics such as frame types, Error frames, message filtering and bus off, error counters.In this course i have covered all the topics starting from basic to advance topics such bus off and message filtering concept with examples so that everyone can understand easily. This course does not required any pre requisites. After completing this course you will be able to answer CAN protocol related interview questions easily. Have a Great Learning.
Who this course is for
This course is suitable for Beginners and experienced who want to pursue or improve knowledge on the CAN protocol
Homepage:
Код:
https://www.udemy.com/course/can-protocol-training/






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Rapidgator
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Udemy - DaVinci Resolve 101

5f295b64fef38f28a9a99e09c9a2fe04.webp

Free Download Udemy - DaVinci Resolve 101
Published: 3/2025
Created by: Marek Mularczyk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 28m ) | Size: 942 MB

Getting started with DaVinci Resolve video editing course
What you'll learn
Video editing using DaVinci Resolve
Learn video editing techniques
Create content for social media
Export your final videos for the web
Requirements
No experience with DaVinci Resolve necessary
Description
This class is for everyone, beginners especially. In this class, you are going to explore DaVinci Resolve and learn how to use it to create and publish videos, professional quality videos, all from scratch.This class is for anyone who creates video content and no knowledge of DaVinci Resolve is necessary. If you have never used Resolve before, that's fine as we will cover everything from scratch.Here are some of the things covered in this course:Importing/Restoring a ProjectCreating a Project from scratchImporting Media into your ProjectCreating TimelinesVideo editingAdding TitlesImporting and adding musicExporting your TimelinesAfter you finish this class, you will be confident enough to produce more projects and video content with ease!For your project, to start with, you will be given an example project which you can use to follow along. After that, we'll be creating a new project from scratch. For that, feel free to follow along or use your own content and we encourage you to share your project and ideas with other students to share some ideas or get feedback from others, or maybe some inspiration ;-)Videos are going to be added in two separate downloads because of the file limitations here. Please put all the videos, from both downloads, into one Videos folder inside MediaFiles folder. You can find MediaFiles folder with all the rest in the last download here.
Who this course is for
Beginners video editors or people new to DaVinci Resolve
Homepage:
Код:
https://www.udemy.com/course/davinci-resolve-101/






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Код:
Rapidgator
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Udemy - GHL Service Pro Roadmap

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Free Download Udemy - GHL Service Pro Roadmap
Published: 3/2025
Created by: Dominic Bavaro
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 4h 30m ) | Size: 3.7 GB

Start a GoHighLevel Service Business as a Freelancer
What you'll learn
How to attract and land service clients using YouTube
How to bid and price service work for GHL Agencies
All of my Personal SOPs as a GHL Service Pro
How to generate leads for their service business
Requirements
No required experience, but some no-code tech ability is a plus.
Description
Hey I'm Dom. I'll be Your Guide! I've started using HighLevel in 2022 for my own business and have been providing service work to other agencies since late 2023.Having a HighLevel service business has allowed me to support my family of 4 (in the Northeast US) on a single income. Even when my other business ventures took a downturn, selling my skills has always provided a steady, reliable "base" of income I could pay my bills with.What This Business Has Provided Me:This type of remote work allows me to work from home and my wife to stay home with our kids. Being a freelance contractor also allows our family to take day trips whenever my daughter's school schedule allows.Additionally, this business also generates monthly recurring affiliate income to add another layer of stability. We have truly achieved:Time FreedomLocation FreedomFinancial Stability (We're not quite "free" yet)This Course Will Teach You:How I Attract & Close High Ticket ClientsHow I Get Paid $5,000 or more for ProjectsHow I Generate FREE Leads DAILYHow I Generate Thousands in Monthly Affiliate CommissionsYou'll also get all of the frameworks, processes, and SOPs I currently use included with the program.
Who this course is for
GoHighLevel users looking to sell their services to to other agencies
Beginning Freelancers looking to start a profitable service business
Homepage:
Код:
https://www.udemy.com/course/ghl-service-pro-roadmap/






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Udemy - Houdini 101 - Your First Steps in Procedural FX

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Free Download Udemy - Houdini 101 - Your First Steps in Procedural FX
Published: 3/2025
Created by: Shahzad Ahmad
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 68 Lectures ( 20h 12m ) | Size: 14.1 GB

A step-by-step guide to mastering Houdini's essential tools and techniques
What you'll learn
Basic Navigation & Houdini Contexts - Understanding the interface and different work areas
Scene Building - Importing geometry, applying materials, lighting, and rendering
SOPs & Geometry Manipulation - Working with attributes, grouping, copying, and instancing
VEX & VOPs - Writing custom scripts, understanding data types, and working with procedural logic
Volume Simulations - Creating procedural skies, clouds, smoke, fire, and explosion effects
Particles & POP Grains - Simulating particle motion and granular effects like sand and snow
RBD & Vellum Simulations - Rigid body destruction, fracturing, and soft body simulations
Flip Fluids & Rendering - Large and small-scale fluid simulations, rendering with Karma XPU and ACES color space
You Will Learn Houdini procedural workflow
You Will Learn Geometry Attributes
You Will Learn Houdini Dynamics
You Will Learn Rendering In Houdini
Requirements
Houdini 20.5 And Above
No Prior Knowledge of Houdini is Required
Description
We will start this course of from very basics how to navigate in the scene around and then we will take a brief tour of Houdini all of different contexts what they are and why they are here and in the process we will build entire scene from importing geometry assigning materials lighting and rendering our scene. Once we have established our foundation then we will take a deep dive into the Houdini SOP context and in here we will take a look at different geometry grouping techniques geometry attributes transferring the attributes driving extrusion from attributes. And then we will take a look at copying and instancing how to orient instance geometry instance attributes copying multiple geometry. And then we will learn about VEX and VOPs and how to work with VOPs and then we will take a look at writing vex code and we will learn about different data types and how to create parameters and channels.And then we will learn about working with volumes in Houdini how to create procedural skyscape and hero clouds working with smoke solver and pyro solver for creating smoke, fire, and explosion simulations rendering fire and explosions working with ACES and rendering with ACES Color space.And then we will dive into particles how to create particle simulation working with particle forces creating our own particle forces. And then we will take a look at POP Grains for creating sand and snow simulation.And then we will learn about Houdini RBD Bullet solver for creating rigid body simulation, creating destruction simulation, fracturing the geometry.And then we learn about vellum solver for creating soft body simulation. And we will finish this course off with flip fluids how to create both large and small scale fluid simulations. We will learn about flip viscosity to create viscous fluids. We will learn how to import geometry in Solaris for rendering and we will learn about Karma XPU for rendering. Some key topics we'll cover include:Introduction & BasicsNavigating the sceneOverview of Houdini contextsBuilding a SceneImporting geometryAssigning materialsLighting and renderingHoudini SOP ContextGeometry grouping techniquesGeometry attributes & transferringDriving extrusion from attributesCopying & InstancingOrienting instance geometryInstance attributesCopying multiple geometriesVEX & VOPsWorking with VOPsWriting VEX codeUnderstanding data types, parameters, and channelsVolumes & SimulationsCreating procedural skyscape & hero cloudsSmoke & pyro solver for fire/explosion simulationsRendering with ACES color spaceParticles & POP GrainsParticle simulation & forcesCreating sand and snow simulationsRigid Body Dynamics (RBD) & Vellum SolverBullet solver for rigid body/destruction simulationsFracturing geometrySoft body simulations with VellumFlip Fluids & RenderingLarge and small-scale fluid simulationsFlip viscosity for viscous fluidsImporting geometry in Solaris for renderingRendering with Karma XPU
Who this course is for
Beginner 3D Artists Who Wants To Learn Houdini
Homepage:
Код:
https://www.udemy.com/course/houdini-101-your-first-steps-in-procedural-fx/






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Udemy - Learn Ethical Hacking From Scratch 2025

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Free Download Udemy - Learn Ethical Hacking From Scratch 2025
Published: 3/2025
Created by: Aashir Waqar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 34 Lectures ( 10h 28m ) | Size: 5.43 GB

Become an ethical hacker who thinks like a black hat but acts like a cybersecurity expert to secure systems effectively.
What you'll learn
Hands-on real-life hacking examples
No prior knowledge required
Use 30+ hacking tools such as Metasploit, Aircrack-ng, SQLmap...etc
Start from 0 up to a high-intermediate level
Learn Network Hacking / Penetration Testing
Secure systems from all the attacks shown
Crack WEP/WPA/WPA2 encryptions
Launch various Man In The Middle attacks
Sniff network traffic & analyse it to extract important info such as: passwords, cookies, urls, videos, images ..etc
Discover devices connected to the same network
How to prevent MITM attacks
Hack secure systems using social engineering
Analyse malware
Read, write download, upload and execute files on compromised systems
Understand how browsers communicate with websites
Discover, exploit & fix SQL injection vulnerabilities
Exploit SQL injections to find databases, tables & sensitive data such as usernames, passwords...etc
Learn the right way to write SQL queries to prevent SQL injections
Use 30+ hacking tools such as Metasploit, Aircrack-ng, SQLmap...etc
Hack & secure WiFi & wired networks
Create backdoors & Hack Windows
Discover & exploit web application vulnerabilities to hack websites.
Learn about the different hacking fields & hackers
Install a hacking lab & needed software (on Windows OS and Linux)
Install & use Kali Linux - a hacking operating system.
Network basics & how devices interact inside a network
Control Wi-Fi connections without knowing the password
Gather detailed information about networks & connected clients like their OS, ports ...etc
Intercept network traffic & modify it on the fly
Discover suspicious activities in networks
Discover open ports, installed services and vulnerabilities on computer systems
Gather information about people, such as emails, social media accounts, emails and friends
Manually detect undetectable malware
Understand how websites & web applications work.
Gather sensitive information about websites
Discover unPublished: directories & files associated with a target website
Andriod Hacking
Windows 11 Security Features
Requirements
Basic IT Skills
No Linux, programming or hacking knowledge required
Computer with a minimum of 4GB RAM
Operating System: Windows / Linux
For WiFi cracking - Wireless adapter that supports monitor mode
Description
Welcome to this comprehensive Ethical Hacking course! This course assumes you have NO prior knowledge! It starts with you from scratch and takes you step-by-step teaching you how to hack systems like black-hat hackers and secure them like security experts!This course is highly practical but it won't neglect the theory; we'll start with ethical hacking basics, break down the different penetration testing fields, and install the needed software (on Windows, Linux, and Apple Mac OS), then we'll dive in and start hacking straight away. You'll learn everything by example, by analyzing and exploiting different systems such as networks, cloud servers, clients, websites, Android devices, and Windows systems. No boring dry lectures.The course is divided into a number of sections. Each section covers a penetration testing/hacking field. In each of these sections, you'll first learn how the target system works, the weaknesses of this system, and how to practically exploit these weaknesses to hack this system. As we do this, I will also introduce you to different hacking and security concepts, tools, and techniques. Everything will be taught through examples and hands-on practicals-there will be no useless or boring lectures!All the techniques in this course are practical and work against real systems. You'll understand the whole mechanism of each technique first, then you'll learn how to use it to hack the target system. By the end of the course, you'll be able to modify these techniques to launch more powerful attacks and adapt them to suit different situations and different scenarios.By the end of the course, you will have a strong foundation in most hacking or penetration testing fields, and you'll also learn how to detect, prevent, and secure systems and yourself from the discussed attacks.The course is divided into seven main sections:Network Hacking - This section will teach you how to hack and secure both wired & wireless networks. First, you will learn network basics, how they work, and how devices communicate with each other. Then it will branch into two sub-sections:Pre-connection attacks: You'll learn a number of attacks that can be executed without connecting to the target network and without needing to know the network password. You'll learn how to gather information about the networks around you, discover connected devices, and control connections (deny/allow devices from connecting to networks).Gaining Access: Now that you have gathered information about the networks around you, you'll learn how to crack the key and get the password to your target network whether it uses WEP, WPA, or even WPA2.System Security - In this section, you will learn two main approaches to gain remote access or hack computer systems:Server-Side Attacks: You will learn how to gain full access to computer systems without user interaction. You will learn how to gather useful information about a target system, such as the operating system, open ports, and installed services. Then, you will use this information to discover vulnerabilities and exploit them to gain full control over the target.Client-Side Attacks: If the target system does not contain any weaknesses, then the only way to hack it is by interacting with users. You'll learn how to get the target user to install a backdoor on their system without even realizing it, hijack software updates, and use social engineering techniques.Post Exploitation - In this section, you will learn how to interact with the systems you compromised so far. You'll learn how to access the file system (read/write/upload/execute), maintain your access, and spy on the target (capture keystrokes, turn on the webcam, take , etc.).Website / Web Application Hacking - In this section, you will learn how websites work, how to gather information about a target website, and how to discover and exploit vulnerabilities such as SQL injection, XSS, and authentication bypasses.Android Hacking - This section will focus on exploiting Android devices and securing them. You will learn:How Android architecture works and its security model.How to create and deploy malicious Android applications to gain access to target devices.How to use Metasploit to create and exploit Android payloads.How to perform man-in-the-middle attacks on Android devices and intercept communications.How to protect Android devices from such attacks.Malware Analysis - In this section, you will learn how to analyze, reverse engineer, and defend against malware. This includes:Understanding how malware operates, including trojans, ransomware, and worms.Using tools to reverse engineer and analyze malicious code.Detecting and removing malware from infected systems.Using sandboxing techniques to safely analyze malware behavior.Windows 11 Security Features - Since Windows 11 is the latest OS, it comes with new security measures. This section will cover:Understanding Windows 11 security architecture and its enhancements over previous versions.Hardening Windows 11 to prevent unauthorized access and malware infections.Throughout the course, you'll learn how to use the following tools to achieve the above:VirtualBoxKali LinuxNmapWiresharkMetasploitSQLmapMaltegoNessusNetdiscoverMacchangerProxychainsTor BrowserAircrack-ng suite (Airmon-ng, Airodump-ng, Aireplay-ng, Aircrack-ng)MobSF (Mobile Security Framework)At the end of each section, you will learn how to detect, prevent, and secure systems and yourself from the discussed attacks.Check out the curriculum and the course teaser for more info!With this course, you'll get 24/7 support, so if you have any questions, you can post them in the Q&A section, and we'll respond to you within 24 hours.Notes:This course is created for educational purposes only; all the attacks are launched in my own lab or against systems that I have permission to test.This course is totally a product of Aashir Waqar & Shubham Pareek, and no other organization is associated with it or a certification exam. Although you will receive a Course Completion Certification from Udemy, apart from that, NO OTHER ORGANIZATION IS INVOLVED.
Who this course is for
Anybody interested in learning ethical hacking / penetration testing
Anybody interested in learning how hackers hack computer systems
Anybody interested in learning how to secure systems from hackers
Homepage:
Код:
https://www.udemy.com/course/learn-ethical-hacking-from-scratch-2025/






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Udemy - Learn Generative AI for Software Testing

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Free Download Udemy - Learn Generative AI for Software Testing
Published: 3/2025
Created by: Pavan Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 3h 49m ) | Size: 1.23 GB

Mastering Generative AI for Software Testers & QA
What you'll learn
Learn hHow to use Gen AI LLM's effectively to maximize your QA Productivity with smart prompt engineering skills
Get Overview of AI Powered Testing tools in current market and their capabilities for revolutionizing Test Automation
Learn generating Test Artifacts in fly such as Test Plan, Testcases, Test Data, Bug templates for given Business Requirements
Understand how to Generate & optimize the Test code into framework standards with Gen AI Plugins such as Github copilot etc
Requirements
Software Testing Concepts
Skills on Automation
Description
Unlock the Power of Generative AI and Advance Your Testing CareerAre you a Manual Tester, QA Engineer, or Automation Tester looking to stay ahead in today's fast-paced testing landscape? This course is designed specifically for testers and QA professionals who want to harness the power of Generative AI to enhance productivity and expand their testing capabilities.What You'll Learn in This Hands-On CourseGain clarity on AI vs Generative AI - understand the differences and key concepts.Explore popular Large Language Models (LLMs) such as ChatGPT, Google Gemini, and DeepSeek.Master the art of Prompt Engineering - the foundation for getting accurate and relevant outputs from AI tools.Learn to generate Test Plans, Test Cases, Test Data, and Bug Reports within seconds using Generative AI.Discover how to apply AI in Selenium Automation, API Testing, and Database Testing.Use GitHub Copilot to accelerate coding, fix bugs faster, and effortlessly generate documentation.Why This Course is Essential for TestersThe future of software testing is increasingly AI-powered - from writing test scripts to generating test data, performing exploratory testing, and optimizing SQL queries. Generative AI can assist testers at every stage of the testing lifecycle. Whether you are a Manual Tester aiming to boost your efficiency or an Automation Engineer looking to streamline scripting, this course equips you with practical AI skills to future-proof your career.What You'll ReceiveStep-by-step demonstrations for setting up ChatGPT, Google Gemini, and DeepSeek.Real-world examples showing AI applications in Manual Testing, Automation, API Testing, and Database Testing.Hands-on exercises and tailored prompts to practice using AI for testing tasks.Expert tips to save time, reduce errors, and improve test coverage using AI.Guidance on using GitHub Copilot to accelerate and enhance automation work.Who Should EnrollThis course is ideal for:Manual Testers and QA EngineersAutomation Testers (Selenium, API, Database Testers)Test Leads and Test ManagersAnyone interested in understanding how AI is transforming the testing domainPrerequisitesBasic knowledge of manual testing, automation testing, and SQL is recommended - no prior AI experience is required.Future-proof your QA career by mastering Generative AI tools and techniques. Enroll now and stay ahead!Course CurriculumChapter 1: Introduction to AI and Generative AIUnderstanding Artificial Intelligence (AI) and real-world applicationsWhat is Generative AI? Real-world examplesDifferences between AI and Generative AIIntroduction to Large Language Models (LLMs)Why every QA professional should learn Generative AIOverview of popular Generative AI models (ChatGPT, Google Gemini, DeepSeek, and more)Chapter 2: Exploring Large Language Models (LLMs)What exactly is an LLM?How Large Language Models workStep-by-step setup for ChatGPT, Google Gemini, and DeepSeekUnderstanding LLM features and techniques for effective interactionChapter 3: Introduction to Prompt EngineeringWhat is a Prompt and why does Prompt Engineering matter?Key elements of a well-formed prompt:InstructionContextInput DataOutput IndicatorEssential Prompt Engineering techniques:Zero-shot PromptingOne-shot PromptingFew-shot PromptingChapter 4: Quick Recap of Manual Testing FundamentalsKey manual testing concepts and terminologyChapter 5: Applying Generative AI in Manual TestingInstantly generate comprehensive Test PlansAutomatically create Test Scenarios and Test CasesGenerate Test Data on demandUse AI to draft Bug Reports quicklyGenerate Test Execution Reports with minimal effortChapter 6: Using Generative AI in Selenium AutomationAutomatically generate Selenium Test ScriptsDebug errors with AI-suggested solutionsAuto-generate XPath and CSS SelectorsGenerate test data for automation runsCreate documentation for test cases automaticallyGenerate Automation Reports using AIConvert code between languages and frameworksMigrate existing automation frameworks with AI assistanceOptimize XPath and locator strategies with AIUse AI to generate test data and integrate with APIsAdvanced prompt techniques for automation engineersChapter 7: Applying Generative AI to API TestingGenerate API Payloads using AICreate POJO Classes from JSON responsesAutomatically generate JSON Schema from API responsesAdd assertions to API tests with AI-generated codeConvert data formats (JSON to CSV and vice versa)Build utility methods to read data from JSON, CSV, and XML files using AIChapter 8: AI in SQL and Database TestingAI-powered SQL Query GenerationQuery optimization and performance tuningData integrity and validation checksVerify query accuracy using AISchema validation using AI-generated promptsEnsure data consistency during data migration tasks with AI assistanceChapter 9: Mastering GitHub Copilot for Testers and Automation EngineersInstall and set up GitHub CopilotGenerate meaningful commit messages automaticallySummarize code changes with AI assistanceUse Copilot to suggest bug fixes and improvementsGenerate sample test data directly in your IDEAutomatically rewrite code to match desired styles or patternsUse Copilot to generate documentation for your test methodsTake the next step in your QA career and become an AI-empowered tester. Enroll today and transform the way you test!
Who this course is for
Software Testers
Quality Assurance Engineers
Developers
Automation testers
Homepage:
Код:
https://www.udemy.com/course/learn-generative-ai-for-software-testing/






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Udemy - Machine Learning for Absolute Beginners (2025)

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Free Download Udemy - Machine Learning for Absolute Beginners (2025)
Published: 3/2025
Created by: Rajita Yerramilli
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 27m ) | Size: 1.82 GB

Using a Curiosity-Based Learning Method with Gen AI Prompts (Patent-Pending)
What you'll learn
Build a Linear Regression Model
Build an Random Forest Model
Build a KNN Model
Learn some fundamental math around building models and forecasting
Requirements
Ability to understand English and use a browser
Description
This is course geared towards non-technical folks who want to understand use cases of Machine Learning (ML) models and build those models without any prerequisite technical skills. You will have a ready-made environment and you can get going within minutes. With the advent of Gen AI, you don't have to be an engineer to go build a cool app and make mind-blowing predictions that will accelerate your business. Dazzle your C-Suite with your newly acquired model-building skills that allow you to make predictions on your business dataThis course is also suitable for technical folks who have zero knowledge in Machine Learning. It's not suitable for Intermediate or Advanced ML professionals. You will learn various algorithms and also get up to speed on the math behind some of the models. Let your curiosity drive your learning. Let me show you how to transcend beyond the limits of the course to both broaden and deepen your learning. Don't hesitate, start today before someone else beats you to the finish line and gets that big fat bonus that will be waiting for you once you upskill.Machine learning is the present and he future. It's time to leave the old mindsets behind and dive into a whole world of wonder and bewilderment.
Who this course is for
Non-technical folks who are ML-curious and technical folks who want to kickstart their ML journey
Homepage:
Код:
https://www.udemy.com/course/ml-beginner/






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Udemy - Master Unreal Engine 5 Basics

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Free Download Udemy - Master Unreal Engine 5 Basics
Published: 2/2025
Created by: Umesh Khushal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 3h 48m ) | Size: 6 GB

Learn Unreal Engine 5 from Scratch
What you'll learn
Navigate the UE5 editor interface
Learn basic understanding of UE5
Create a new project and a new level
Learn to use UE5's built -in Modeling Tools
Materials and Materials textures
Requirements
No skills and prior experience needed
Description
Unreal Engine 5 is a powerful tool for game development. This course covers navigation, level design, materials, and basic game mechanics. Whether you're a beginner or aspiring developer, you'll gain a strong foundation in UE5 and be ready to create your own projects with confidence.Are you new to Unreal Engine 5 and want to learn the fundamentals? This course is designed for beginners who want to understand the core features of UE5, including navigation, level design, and basic game development concepts.What you will learn: Understanding the Unreal Engine 5 interface and essential tools Navigating through the editor and working with different viewports Using modeling tools to create and modify 3D objects Working with materials and textures to enhance visual appeal Designing levels with lighting, landscapes, and assets Introduction to Blueprints for basic interactivityWho Should Take This Course? Aspiring game developers with no prior experience Artists and designers looking to explore game developmentBy the end of this course, you'll have a strong foundation in Unreal Engine 5 and be ready to start creating your own game worlds. Join now and take your first step into game development! You'll gain hands-on experience with essential UE5 tools, making game development easier.
Who this course is for
Aspiring game developers, beginners in Unreal Engine 5
Anyone interested in learning game development from scratch
Indie game creators
Homepage:
Код:
https://www.udemy.com/course/master-unreal-engine-5-basics/






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Udemy - Mastering 3D Modeling Create a Sniper Rifle

5f295b64fef38f28a9a99e09c9a2fe04.webp

Free Download Udemy - Mastering 3D Modeling Create a Sniper Rifle
Published: 2/2025
Created by: 3DRedBox Studio
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 28 Lectures ( 13h 18m ) | Size: 10.4 GB

Learn 3Dsmax, Rizom UV, Substance Painter, and Marmoset Toolbag in this In-Depth Tutorial
What you'll learn
Master the process of creating a highly detailed sniper rifle model.
Gain proficiency in unwrapping techniques using Rizom UV and learn how to create high-quality UV maps for complex models.
Develop advanced skills in texturing with Substance Painter, including the use of color IDs and adding intricate details
Learn how to utilize Marmoset Toolbag for rendering, including importing textures, creating materials
Requirements
There are no specific prerequisites for taking this course, making it suitable for beginners. Learners should have a basic understanding of 3D modeling concepts and be familiar with using a computer and navigating software interfaces. Access to industry-standard 3D modeling software such as Blender, Maya, or 3ds Max is recommended for practical application of the techniques taught in the course. Additionally, having access to Rizom UV, Substance Painter, and Marmoset Toolbag will enhance the learning experience but is not required.
Description
In this comprehensive tutorial, you will embark on a journey to master the entire process of creating an intricately detailed sniper rifle model. With over 14 hours of content, this course is designed for individuals who have a basic understanding of 3D modeling software and are looking to elevate their skills to an intermediate level.The tutorial is divided into three main sections:Modeling:With over 8 hours dedicated to the modeling process using 3Dsmax, you will learn how to create both a proxy mesh and a highly detailed model. The step-by-step instructions make it easy for learners to follow along as they build the intricate details of the sniper rifle.Unwrapping & Texturing:During the next phase, spend more than 4 hours learning about unwrapping in Rizom UV and texturing in Substance Painter. Explore udims workflow for high-quality unwrapping before delving into the texturing process using color IDs and adding intricate details and decals.Rendering:Finally, discover how to bring your model to life with rendering using Marmoset Toolbag. Learn how to import textures and create materials while setting up lighting and camera angles for that perfect final presentation.Software Used:Throughout this tutorial, you will gain proficiency in utilizing industry-standard software including 3Dsmax for modeling, Rizom UV for unwrapping, Substance Painter for texturing, and Marmoset Toolbag for rendering.Who Should Take This Course?This course is ideal for individuals with basic knowledge of these software tools who are ready to take their skills further by mastering the complete process of creating complex models. Whether you're an aspiring game developer or a digital artist looking to expand your skill set - this course provides valuable insights into every aspect of creating a high-quality digital asset.Please Note:This course does not include project files or narrated videos; however, its comprehensive content makes it easy for learners at any level of experience in these tools.
Who this course is for
This course is designed for individuals interested in advancing their skills in 3D modeling and texturing for game development, animation, or visual effects. It is suitable for beginners looking to learn the fundamentals of 3D modeling and texturing as well as intermediate learners seeking to refine their techniques and expand their knowledge. Game developers, animators, digital artists, and anyone passionate about creating immersive 3D environments will find the course content valuable. Whether you aspire to work in the gaming industry or simply want to enhance your creative abilities in 3D design, this course provides a comprehensive foundation for achieving those goals.
Homepage:
Код:
https://www.udemy.com/course/mastering-3d-modeling-create-a-sniper-rifle/






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Udemy - Microsoft Graph et Microsoft graph Powershell Masterclass

5f295b64fef38f28a9a99e09c9a2fe04.webp

Free Download Udemy - Microsoft Graph et Microsoft graph Powershell Masterclass
Last updated: 9/2023
Created by: Gaston Ndoumbe
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: French | Duration: 25 Lectures ( 1h 58m ) | Size: 1 GB

Le cours pour ceux qui débutent en graph API et graph Powershell
What you'll learn
Apprendre les bases du fonctionne ment d'une API
Comprendre comment fonctionne le Graph API
Comprendre les permissions dans le graph
Écrire des requêtes Powershell graph API usuelles
Requirements
Avoir une connaissance de base d'un langage de Scripting de préférence le powershell
Description
Microsoft Graph vous permet de tirer parti d'une API unifiée et sécurisée pour vous connecter à des données situées dans différents services Microsoft 365. Le fait d'accéder à ces données donne aux administrateurs les informations nécessaires pour prendre des décisions en temps opportun, puis offrir à la société un avantage concurrentiel. Ce que nous voulons faire a travers ce cours c'est de vous donner les bases essentielles pour commencer avec le graph API . et comprendre son fonctionnement. Une attention particulière doit être réservée a la manière dont le graph gère les permissions et si vous connaissez le Powershell vous aller pouvoir faire le lien entre vos connaissances anciennes et ces nouveaux acquis dans le cadre du graph powershell qui va se révéler être un outil puissant pour la gestion au quotidien de la plateforme. Dans ce cours vous aurez plusieurs exemples de requêtes pour vous familiariser avec le graph API et le plus gros des exemples sont faits en graph Powershell . Nous essayons autant que possible de garder les notions simples et d'aller vers l'essentiel pour permettre a l'apprenant d'acquérir très rapidement un savoir pratique. pour pratiquer les exemples vous aurez besoin d'un environnement M365 , vous pouvez en créer un de test très facilement
Who this course is for
Administrateurs M365 et ou Azure. Étudiants
Homepage:
Код:
https://www.udemy.com/course/microsoft-graph-et-microsoft-graph-powershell-masterclass/






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Udemy - Privileged Access Management (PAM)

5f295b64fef38f28a9a99e09c9a2fe04.webp

Free Download Udemy - Privileged Access Management (PAM)
Published: 3/2025
Created by: Geoffroy Andrieu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 73 Lectures ( 5h 8m ) | Size: 1.3 GB

Immersion in Privileged Access Management with CyberArk
What you'll learn
Privileged Access Management (PAM)
PAM Features & Capabilities
CyberArk functionalities
Identity and Access Management (IAM)
Requirements
Basic IT and Cyber Security knowledge (optional)
Description
In today's interconnected world, protecting privileged access is a critical challenge for organizations. Cybercriminals and malicious insiders increasingly target privileged accounts to gain control over sensitive systems. This is why Privileged Access Management (PAM) has become a fundamental pillar of enterprise cybersecurity, ensuring that access to critical resources is properly secured and monitored.Enhance your cybersecurity expertise by mastering Privileged Access Management (PAM)-one of the most crucial and sensitive areas of Identity and Access Management (IAM).This comprehensive course provides an in-depth exploration of PAM architectures, key components, and essential security features. Learn how modern PAM solutions are structured, how they integrate with enterprise environments, and how organizations can leverage them to enhance security, enforce least privilege policies, and ensure compliance.Discover and apply major PAM functionalities, including:Password management to automatically manage and secure privileged credentialsSession management to monitor and audit privileged activitiesReporting & threat detection to identify and respond to suspicious behaviorsImmerse yourself in hands-on labs featuring CyberArk, the market-leading PAM solution. Get practical experience in securing privileged accounts, managing access policies, configuring session monitoring, and implementing proactive threat mitigation. Through real-world scenarios, you will understand how organizations use PAM to protect their most critical assets.By the end of this course, you will have a solid grasp of PAM architectures, key functionalities, and security best practices. Equip yourself with the skills needed to navigate the complex world of privileged access management and take a decisive step toward a career in cybersecurity.
Who this course is for
IAM consultant / engineer
PAM consultant / engineer
IT professionals
IT and Cybersecurity students
Information Security Professional
CISO
Homepage:
Код:
https://www.udemy.com/course/privileged-access-management-pam/






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Udemy - Project Coding your own HTML language in C

5f295b64fef38f28a9a99e09c9a2fe04.webp

Free Download Udemy - Project Coding your own HTML language in C
Published: 3/2025
Created by: dr Jonas Birch, C programming ninja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 14h 36m ) | Size: 7.1 GB

A real-world project for mid-level C coders who want to reach the next level and learn how to create your own language.
What you'll learn
Learn how to write a lexer/tokenizer, transforming the source language into your own datastructures (tokens).
Learn how to structure the grammar of the source language in Backus/Naur form.
Learn how to use the lexer and the grammar to parse the source language tokens into a suitable datastructure.
Learn how to write your own garbage collector to clean up memory allocations.
Learn how to use this project in your own portfolio (you're allowed to!) in order to get a developer job.
Requirements
You need to have a basic understanding of C. So first do the beginner course and then this one.
Description
Today we begin developing our own HTML language in C.About the courseWe will eventually use it to create console based graphical user interfaces for C applications and we'll also write our own CSS eventually. In the first episode we'll focus on getting everything prepared for the HTML parser and we're going to take influences from the functional style of writing code and also from our compiler episode.The techniques taught in this course is not only useful for HTML. Everything is applicable no matter what kind of programming language you wish to create, or any existing language you want to parse. For instance, you can write your own C compiler or invent your own programming language. All you need is some basic C programming skills and the contents of this course.You will learn how to code a lexer, which will turn the code into tokens, the smallest atomic part of any programming language. Then you will define the grammar according to the format taught in this course (bnf). The third step is to parse the tokens according to the language, by writing a recursive functional parser. And the final step is using your code, like rendering web pages (html), emitting assembly or machine code (c compiler) etc.About the authorDr. Jonas is an experienced instructor who's been coding C for 25 years and teaching it for 7 years. His popular Youtube channel has 35 000 subscribers and he's also running his own TV channel with programming content. He's an appreciated teacher with stunning reviews and several C programming courses of different kind.Enroll Today! Or check out the free previews.
Who this course is for
Mid-level C programmers, who's done the beginner stuff and wishes to take the next step by coding a real project.
Homepage:
Код:
https://www.udemy.com/course/coding-your-own-html-language-in-c/






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