Browse Courses

Learn the fundamentals of Git and GitHub and build the version control skills every developer needs. This course takes you from installing and configuring Git to creating repositories, tracking changes, connecting with GitHub, pushing code, cloning projects, and following a professional daily Git workflow. By the end of the course, you'll be able to confidently manage your code, collaborate with others, and use GitHub in real-world software development projects.

Step into the world of Agentic AI and learn how intelligent AI agents can reason, use tools, and perform tasks autonomously. This course introduces AI agent fundamentals, the ReAct framework, and hands-on agent development using LangChain. You'll build custom tools, create your first AI agent, and understand how modern agentic systems solve real-world problems. By the end of the course, you'll have the skills to start developing your own AI agents from scratch.

Take your machine learning project from development to production by building and deploying a complete web application on Microsoft Azure. In this course, you'll create a frontend with Streamlit, connect it to your Azure ML model endpoints, manage your project with Git & GitHub, and deploy the application to Azure. By the end of the course, you'll have a fully functional cloud-hosted AI web application that users can access from anywhere.

Learn how to build a real-world Big Data analytics pipeline by forecasting NYC taxi demand using Azure Databricks. This course covers Big Data fundamentals, data ingestion, data engineering, and end-to-end workflow development while solving an industry use case. By the end of the course, you'll understand how to process large-scale data and build practical data solutions using modern cloud technologies.

Discover the core capabilities of Azure AI Foundry and learn how to build intelligent AI applications using vision and language models. This course introduces Computer Vision, Natural Language Processing (NLP), and the Azure AI Foundry platform, including hands-on experience with the AI Playground. By the end of the course, you'll understand how to leverage Azure's AI services to create and experiment with real-world AI solutions.

Learn the fundamentals of Azure Machine Learning Studio and build your first machine learning workflow on Microsoft Azure. This course takes you from setting up an Azure ML workspace to managing data, training models, and deploying them for real-world use. By the end of the course, you'll have a solid understanding of Azure ML Studio and the confidence to start building and deploying machine learning solutions in the cloud.

This course guides you through the essentials of Microsoft Azure, from creating an account to navigating the Azure Portal and managing cloud resources. You'll learn core Azure concepts such as resource groups, subscriptions, regions, Cloud Shell, and cost management through practical examples. By the end of the course, you'll be confident using Azure to create and manage your first cloud resources.

Master the fundamentals of LangChain and LangGraph to build powerful LLM-powered applications. This course covers project setup, LLM memory, prompt and system message management, chains, conversational workflows, and multi-tool integration. Through hands-on demos, you'll learn how to create intelligent AI applications with structured workflows and persistent conversation history. By the end of the course, you'll have the skills to build production-ready AI applications using LangChain and LangGraph.

Build a strong foundation in Generative AI and understand how Large Language Models (LLMs) work behind the scenes. This beginner-friendly course covers core concepts including transformers, tokenization, embeddings, LLM training, model selection, and practical applications. You'll also gain hands-on experience with popular AI platforms such as Azure AI Foundry, Ollama, and Google AI Studio to run and experiment with LLMs. By the end of the course, you'll have the knowledge and practical skills needed to confidently begin building Generative AI applications.

Learn the art of Prompt Engineering and unlock the full potential of Large Language Models (LLMs). This course covers prompt design principles, essential prompt components, and advanced techniques such as few-shot prompting and chain-of-thought prompting. You'll also learn how to structure prompts using roles, context, format, and tone, and apply these skills to build custom AI chatbots. By the end of the course, you'll be able to write effective prompts that generate accurate, reliable, and high-quality AI responses.

This course provides a beginner-friendly introduction to Data Science as the field of Data-Driven Decision Making.

Build a strong foundation in Artificial Intelligence (AI) and Data Science with this course. You'll explore what AI is, how it works, its different types and learning approaches, the role of data in AI, and the essential skills needed to start a career in AI and Data Science. By the end of the course, you'll have a clear understanding of the core concepts and be ready to take the next step in your AI learning journey.

This course introduces the fundamentals of cloud computing, starting with traditional on-premises infrastructure and the challenges it presents. You'll learn what cloud computing is, how it works, its key benefits, and explore popular cloud providers, including Microsoft Azure. By the end of the course, you'll understand core cloud concepts, real-world applications, career opportunities, and gain your first hands-on experience with Azure.

Master the fundamentals of Retrieval-Augmented Generation (RAG) and learn how to build AI applications that generate accurate, context-aware responses using external knowledge. This course covers semantic search, embeddings, vector databases, RAG architecture, end-to-end workflows, and real-world use cases. Through hands-on coding labs, you'll build, debug, evaluate, and optimize a complete RAG pipeline while learning when to use RAG instead of a standalone LLM. By the end of the course, you'll have the practical skills to develop production-ready RAG applications powered by Large Language Models.

This course introduces the fundamentals of web development by teaching basic HTML, CSS, and JavaScript with the support of Antigravity AI. Learners will build interactive and responsive web pages while using AI tools to simplify coding, enhance creativity, and accelerate learning. The program blends core web technologies with AI-driven guidance, making web development more accessible, efficient, and innovative for beginners.

Welcome to the most beginner-friendly Game Development Course using HTML & Canvas, designed especially for students who want to learn programming in a fun, creative, and practical way. This course teaches you how to create real 2D games using HTML, Canvas, and JavaScript. Even if you’ve never coded before. You’ll start with simple shapes, then learn animation, keyboard control, scoring, collisions, and full game building. Along the way, you’ll also learn how to use AI tools like ChatGPT, Claude and Gemini to speed up coding, fix errors, and boost creativity. By the end, you’ll confidently build your own playable games and take your first real step into game development! 🚀