Full stack generative and Agentic AI with python — 94% OFF Coupon

Hands-on guide to modern AI: Tokenization, Agents, RAG, Vector DBs, and deploying scalable AI apps. Complete AI course

★4.5 out of 5
52,356 students
English
Updated June 2026

Quick Facts — Full stack generative and Agentic AI with python Overview

Here's a quick overview of everything you need to know about Full stack generative and Agentic AI with python before you enroll:

•Course Name: Full stack generative and Agentic AI with python
•Platform: Udemy
•Instructor: Hitesh Choudhary, Piyush Garg
•Coupon Last Verified: June 7, 2026
•Level: All Levels
•Topic: Development
•Subtopic: Generative AI (GenAI)
•Total Time: 32h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Write Python programs from scratch, using Git for version control and Docker for deployment. · Use Pydantic to handle structured data and validation in Python applications. · Understand how Large Language Models (LLMs) work: tokenization, embeddings, attention, and transformers.
•Requirements: No prior AI knowledge is required — we start from the basics. · A computer (Windows, macOS, or Linux) with internet access.
•Current Price: $9.99 (was $169.99). You save $160.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Full stack generative and Agentic AI with python, you'll have these practical skills:

✓Write Python programs from scratch, using Git for version control and Docker for deployment. .
✓Use Pydantic to handle structured data and validation in Python applications. .
✓Understand how Large Language Models (LLMs) work: tokenization, embeddings, attention, and transformers. .
✓Call and integrate APIs from OpenAI and Gemini with Python. .
✓Design effective prompts: zero-shot, one-shot, few-shot, chain-of-thought, persona-based, and structured prompting. .
✓Run and deploy models locally using Ollama, Hugging Face, and Docker. .
✓Implement Retrieval-Augmented Generation (RAG) pipelines with LangChain and vector databases. .
✓Use LangGraph to design stateful AI systems with nodes, edges, and checkpointing. .
✓Understand Model Context Protocol (MCP) and build MCP servers with Python.

Prerequisites for This Course

Before enrolling in Full stack generative and Agentic AI with python, make sure you have:

•No prior AI knowledge is required — we start from the basics.
•A computer (Windows, macOS, or Linux) with internet access.
•Basic programming knowledge is helpful but not mandatory (the course covers Python from scratch).

About This Udemy Course

The following is the full official course description for Full stack generative and Agentic AI with python as published on Udemy by instructor Hitesh Choudhary, Piyush Garg:

Welcome to the Complete AI & LLM Engineering Bootcamp – your one-stop course to learn Python, Git, Docker, Pydantic, LLMs, Agents, RAG, LangChain, LangGraph, and Multi-Modal AI from the ground up.

This is not just another theory course. By the end, you will be able to code, deploy, and scale real-world AI applications that use the same techniques powering ChatGPT, Gemini, and Claude.

What You’ll Learn

Foundations
  • Python programming from scratch — syntax, data types, OOP, and advanced features.
  • Git & GitHub essentials — branching, merging, collaboration, and professional workflows.
  • Docker — containerization, images, volumes, and deploying applications like a pro.
  • Pydantic — type-safe, structured data handling for modern Python apps.

AI Fundamentals
  • What are LLMs and how GPT works under the hood.
  • Tokenization, embeddings, attention, and transformers explained simply.
  • Understanding multi-head attention, positional encodings, and the "Attention is All You Need" paper.

Prompt Engineering
  • Master prompting strategies: zero-shot, one-shot, few-shot, chain-of-thought, persona-based prompts.
  • Using Alpaca, ChatML, and LLaMA-2 formats.
  • Designing prompts for structured outputs with Pydantic.

Running & Using LLMs
  • Setting up OpenAI & Gemini APIs with Python.
  • Running models locally with Ollama + Docker.
  • Using Hugging Face models and INSTRUCT-tuned models.
  • Connecting LLMs to FastAPI endpoints.

Agents & RAG Systems
  • Build your first AI Agent from scratch.
  • CLI-based coding agents with Claude.
  • The complete RAG pipeline — indexing, retrieval, and answering.
  • LangChain: document loaders, splitters, retrievers, and vector stores.
  • Advanced RAG with Redis/Valkey Queues for async processing.
  • Scaling RAG with workers and FastAPI.

LangGraph & Memory
  • Introduction to LangGraph — state, nodes, edges, and graph-based AI.
  • Adding checkpointing with MongoDB.
  • Memory systems: short-term, long-term, episodic, semantic memory.
  • Implementing memory layers with Mem0 and Vector DB.
  • Graph memory with Neo4j and Cypher queries.

Conversational & Multi-Modal AI
  • Build voice-based conversational agents.
  • Integrate speech-to-text (STT) and text-to-speech (TTS).
  • Code your own AI voice assistant for coding (Cursor IDE clone).
  • Multi-modal LLMs: process images and text together.

Model Context Protocol (MCP)
  • What is MCP and why it matters for AI apps.
  • MCP transports: STDIO and SSE.
  • Coding an MCP server with Python.

Real-World Projects You’ll Build
  • Tokenizer from scratch.
  • Local Ollama + FastAPI AI app.
  • Python CLI-based coding assistant.
  • Document RAG pipeline with LangChain & Vector DB.
  • Queue-based scalable RAG system with Redis & FastAPI.
  • AI conversational voice agent (STT + GPT + TTS).
  • Graph memory agent with Neo4j.
  • MCP-powered AI server.

Who Is This Course For?
  • Beginners who want a complete start-to-finish course on Python + AI.
  • Developers who want to build real-world AI apps using LLMs, RAG, and LangChain.
  • Data Engineers/Backend Developers looking to integrate AI into existing stacks.
  • Students & Professionals aiming to upskill in modern AI engineering.

Why Take This Course?

This course combines theory, coding, and deployment in one place. You’ll start from the basics of Python and Git, and by the end, you’ll be coding cutting-edge AI applications with LangChain, LangGraph, Ollama, Hugging Face, and more.

Unlike other courses, this one doesn’t stop at “calling APIs.” You will go deeper into system design, queues, scaling, memory, and graph-powered AI agents — everything you need to stand out as an AI Engineer.

By the end of this course, you won’t just understand AI—you’ll be able to build it.

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Is the Full stack generative and Agentic AI with python Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: June 7, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Full stack generative and Agentic AI with python is a high-value resource for learners seeking to build skills inDevelopment. Taught by Hitesh Choudhary, Piyush Garg on Udemy, the 32h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $169.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 52,356 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Full stack generative and Agentic AI with python:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Full stack generative and Agentic AI with python has earned an aggregate rating of 4.5 out of 5 from 52,356 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.5
★★★★★
52,356 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — Hitesh Choudhary, Piyush Garg

Full stack generative and Agentic AI with python is taught by Hitesh Choudhary, Piyush Garg, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Hitesh Choudhary, Piyush Garg
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Full stack generative and Agentic AI with python, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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