Generative AI - Learning Path

Learn the art of creating AI models that generate content, including text, images, and music, by diving deep into neural networks, transformers, and cutting-edge generative algorithms.

Steps to Learn Generative AI

Step 1

Mastering LangChain

Learn Langchain in-depth to build simple to advanced Gen AI apps using commercial and open source LLMs.

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Step 2

Retrieval Augmented Generation (RAG) Techniques

Learn RAG Techniques to enhance AI models by integrating external knowledge retrieval with text generation. Learn to build efficient RAG pipelines for accurate, context-aware responses in NLP applications.

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Step 3

Building Agentic AI App

Learn how to build intelligent, goal-driven AI systems that act autonomously using LLMs, planning, tool use, and orchestration—your gateway to mastering Agentic AI.

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Step 4

MCP for AI Integration

Master the Model Context Protocol (MCP) to build context-aware generative AI systems. Learn how to manage multi-turn memory and deliver intelligent, coherent responses that elevate user experience.

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Step 5

Deploy Generative AI Models in Production

Go from prototype to production-ready LLM applications using AWS Bedrock's managed AI services

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