Ultimate Full stack Agentic AI and Generative AI with Python

Ultimate Full stack Agentic AI and Generative AI with Python
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch

You will learn how Large Language Models (LLMs) work, master prompt engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, embeddings, AI agents, multi-agent systems, tool calling, memory, planning, reasoning, and workflow automation. Through practical projects, you’ll gain the skills to create intelligent AI assistants, autonomous agents, document analysis systems, AI chatbots, coding assistants, and enterprise-grade AI applications.
The course also covers modern AI development frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI APIs, Hugging Face, Ollama, FastAPI, Streamlit, and Docker. You’ll learn how to build full-stack AI applications with responsive user interfaces, scalable backend services, secure API integrations, and cloud deployment techniques.
With numerous real-world projects, coding exercises, and best practices, you’ll develop the confidence to design, build, deploy, and maintain modern AI solutions for business and production environments. By the end of this course, you will possess the practical skills required to build advanced AI-powered applications and be well-prepared for careers in AI engineering, Generative AI, Agentic AI, and intelligent software development.

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