Full stack generative and Agentic AI with python

Hands-on guide to modern AI: Tokenization, Agents, RAG, Vector DBs, and deploying scalable AI apps. Complete AI course
4.6 ★★★★★25,132 studentsCreated by Hitesh Choudhary, Piyush GargPublished/Updated on: 🌐 English

Key Takeaways

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes and Coupon Code.

Course Title: Full stack generative and Agentic AI with python
Provider: Udemy (via CourseSpeak listing)
Instructor: Hitesh Choudhary, Piyush Garg
Coupon Verified on: January 4, 2026
Difficulty Level: All Levels
Course Focus: development fundamentals to advanced concepts
Learning Outcomes: 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.
Prerequisites: 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).
Target Audience: Beginners to advanced programmers
Course Type: Self Paced Online Course. Lifetime Access
Coupon: Click on REDEEM COUPON to Enroll and apply discount code

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

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.

Requirements

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

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).

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive generative ai (genai) courses.

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About the Instructor

Learn from experienced professionals in the field.

Instructor: Hitesh Choudhary, Piyush Garg
Expertise: development education and applied programming expertise
Experience: 12+ years developing large-scale systems in Generative AI (GenAI)
Teaching Style: Practical focus with real-world examples and hands-on projects
Institution: Hitesh Choudhary - Leading provider of quality development education

Review - Full stack generative and Agentic AI with python course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: Full stack generative and Agentic AI with python by Hitesh Choudhary, Piyush Garg

Full stack generative and Agentic AI with python is a comprehensive online course designed to help students master Development skills. Created by Hitesh Choudhary, Piyush Garg, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Generative AI (GenAI) and take their career to the next level.

Our Recommendation

Course recommendation: Full stack generative and Agentic AI with python excels in development development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.6
★★★★★
Course Rating
Based on 25,132 student reviews as of January 2026
Rating Breakdown:
5 stars:
75% (18,849)
4 stars:
15% (3,770)
3 stars:
5% (1,257)
2 stars:
5% (1,257)
1 star:
5% (1,257)
SJ
Sarah Johnson
★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

MT
Michael Torres
★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

DK
David Kim
★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

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Full stack generative and Agentic AI with python
$9.99$99.9990% Off
🎫 Coupon
CHAI***
REDEEM COUPON
30-Day Money-Back Guarantee
What the Course Includes:
Duration32h on-demand video
Device CompatibilityMobile & TV
Access TypeLifetime Access
CertificationCompletion Certificate