Advanced Full stack Generative AI with Agentic AI & Python

Name: Advanced Full stack Generative AI with Agentic AI & Python
Rating: 5.0 (27 reviews)

Learn, Build Application, Deploy and Apply Generative AI with With Langchain, Huggingface & Agentic AI

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Created byAtchiyyamma Resu

Last updated 6/2026

English

English [Auto],

What you'll learn

Understand the foundations of Generative AI and deep learning, including neural networks, probability, statistics, linear algebra, GANs, VAEs, transformers
Build and implement real-world Generative AI applications using TensorFlow, Hugging Face, LangChain, LangGraph, and modern AI development frameworks
Develop, fine-tune, and deploy Large Language Model (LLM) solutions, including AI agents, Retrieval-Augmented Generation (RAG) systems, and chatbot applications
Create end-to-end AI-powered solutions by integrating vector databases, Streamlit frontends, multimodal models, and advanced Generative AI techniques

Course content

1 section • 8 lectures • 45m total length

Introduction6:29
Langchain models in Generative AI5:27
Applications of Generative AI7:09
What is Generative AI5:27
Lang Chain in Generative AI5:11
Explore building a Lang Chain in generative AI by chaining prompts, models, and output parsers with the pipe operator, to produce movie titles and summaries across multi-step workflows.
Prompt Template in Generative AI3:18
SQLite Core in Generative AI5:40
Explore compiling sqlite as a single translation unit for performance gains and using sqlite3.c, sqlite3.h, and shell.c to debug create table, insert, and select.
Runnable Functions in Geneative AI6:21

Requirements

You need to have a passion for learning Generative AI

Description

Master the next generation of Artificial Intelligence development with this advanced, project-based course designed to help you build complete end-to-end AI applications using Python, Generative AI, Large Language Models (LLMs), Agentic AI, and modern full-stack technologies. This comprehensive program combines AI engineering, backend development, frontend integration, and autonomous AI systems into one powerful learning experience.

The course takes you beyond basic AI concepts and teaches you how to design, develop, and deploy production-ready AI applications. You will learn to work with cutting-edge AI models, create intelligent agents, build Retrieval-Augmented Generation (RAG) systems, integrate vector databases, and develop scalable AI-powered web applications using modern development frameworks.

Throughout the course, you will gain hands-on experience with Python programming, prompt engineering, LangChain, Hugging Face, OpenAI APIs, vector databases, agent orchestration frameworks, multi-agent systems, workflow automation, and cloud deployment. You will also learn how to create responsive front-end interfaces and robust back-end architectures that seamlessly interact with advanced AI services.

A major focus of this course is Agentic AI, where you will build autonomous AI agents capable of reasoning, planning, tool usage, memory management, and task execution. You will explore how AI agents collaborate, access external tools, retrieve knowledge, and solve complex real-world problems with minimal human intervention.

By completing multiple real-world projects—including AI chatbots, document intelligence systems, AI copilots, autonomous research assistants, workflow automation platforms, and multi-agent applications—you will develop the practical skills needed to become a Full Stack AI Engineer. Whether your goal is to build innovative AI products, launch AI-powered startups, automate business processes, or advance your career in artificial intelligence, this course provides the knowledge and hands-on experience required to succeed in the rapidly evolving AI industry.

Who this course is for:

It is for those who wish to master Generative AI from beginner to Advanced