Full Stack Agentic AI and Generative AI with Python Bootcamp

About this course

Step into the future of AI development with the Full Stack Agentic AI & Generative AI with Python Bootcamp, a practical and comprehensive learning journey designed to help you build intelligent AI applications from the ground up.

This bootcamp takes you beyond basic chatbot development and simple API integration. You will learn how to combine Python programming, Large Language Models, Generative AI, Agentic AI, Retrieval-Augmented Generation, databases, APIs, automation, backend development, and modern web technologies to create complete AI-powered applications.

You will begin by strengthening your Python foundations and gradually move into the world of Generative AI and LLM-powered applications. You will understand how modern AI models work, how to communicate effectively with LLMs, and how to design reliable prompts and structured AI workflows.

The course then progresses into practical Agentic AI development. You will learn how AI agents can reason through tasks, use tools, interact with external systems, maintain context, make decisions, and execute multi-step workflows. You will explore agent architectures, tool calling, memory, workflow orchestration, and multi-agent concepts.

A major focus of the bootcamp is building knowledge-aware AI applications using RAG. You will learn how to process documents, create embeddings, work with vector databases, perform semantic search, retrieve relevant information, and connect retrieved knowledge with LLMs to build intelligent applications.

You will also learn how to develop full-stack AI solutions by connecting Python-based backend services with databases, APIs, and interactive user interfaces. Through practical projects, you will understand how individual AI components come together to form complete applications.

Throughout the bootcamp, the emphasis is on hands-on development rather than memorizing concepts. You will work on practical projects that help you understand AI application architecture, debugging, integration, deploy

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