Full-Stack Generative and Agentic AI with Python

Duration:
4 Days

The Full-Stack Generative and Agentic AI with Python course is designed for developers who want to build complete AI-powered applications from backend to frontend.

This program covers the full lifecycle of AI development, including Python fundamentals, data handling, generative AI concepts, prompt engineering, retrieval-augmented generation (RAG), and agent-based systems. Participants will learn how to build APIs, integrate AI models, and create user interfaces for real-world applications.

The course also introduces modern tools and frameworks such as FastAPI, vector databases, LangChain, and local model deployment. With a strong emphasis on practical implementation, participants will develop end-to-end AI systems that can be deployed and scaled in real environments.

Course Objectives

  • Understand the fundamentals of generative AI and agentic AI systems
  • Apply prompt engineering techniques for structured AI outputs
  • Build full-stack AI applications using Python
  • Implement retrieval-augmented generation (RAG) pipelines
  • Develop and manage AI agents with memory and workflows
  • Create APIs and integrate AI models into applications
  • Deploy and monitor AI systems in production environments
  • Course Features

  • Full-stack approach covering backend, AI integration, and frontend components
  • Hands-on development using Python, APIs, and modern AI frameworks
  • Practical implementation of RAG, AI agents, and model integration
  • Exposure to tools such as FastAPI, LangChain, vector databases, and local LLMs
  • Focus on deployment, performance, and real-world application
  • Who Should Attend

  • Software developers and engineers
  • Python developers exploring AI application development
  • Technical professionals building full-stack AI systems
  • AI and machine learning practitioners
  • Teams developing AI-powered products and services
  • We’re committed to helping you achieve your professional goals. 

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