What you'll learn:
- Fundamentals of Generative AI and how it differs from traditional AI
- How Large Language Models (LLMs) work at a high level (without heavy math)
- Prompt Engineering techniques to get better, more reliable AI outputs
- How AI systems use context, memory, and tools
- Building AI agents in AWS Bedrock Agent that can work autonomously
- Building own MCP server
- Model Context Protocol (MCP) – how models securely connect to tools, data, and services
- Using 3rd party MCP servers to connect to external systems
- Working with open source model locally on your own machine
- Building RAG based chatbots using Langflow
Artificial Intelligence is no longer just for researchers and data scientists. Tools powered by Generative AI and Large Language Models (LLMs) are rapidly becoming part of everyday work—from writing and research to automation and intelligent agents.
This course is a beginner-friendly, hands-on introduction to modern AI, designed to help you understand how today’s AI systems work and how to use them effectively—even if you have no prior AI or machine learning background.
You’ll start with the core foundations of Generative AI, learn how LLMs think and respond, master prompt engineering, and then move into practical, real-world concepts like Retrieval-Augmented Generation (RAG), AI agents, and the Model Context Protocol (MCP)—the emerging standard for connecting models with tools and systems.
By the end of the course, you won’t just know about AI—you’ll know how to work with it.
**Note: Built especially for beginners, this course delivers a solid foundation without overwhelming you with advanced concepts — keeping your learning simple, practical, and to the point.
How This Course Will Help You:
After completing this course, you will be able to:
Clearly explain how modern AI and LLM-based systems work
Write effective prompts and interact confidently with AI tools
Understand RAG and Agentic RAG, and what problem they solve
Understand how AI agents and MCP-powered systems are built
Make informed decisions when using or building AI-powered products
Build a strong foundation that will help you to move into advanced AI, agents, or application development
Whether your goal is learning, building, teaching, or leading AI initiatives, this course gives you the mental model you need.
