Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph from Udemy. Hands-on guide to modern AI: Tokenization, Agents, RAG, Vector DBs, and deploying scalable AI apps. Complete AI course

Master Full-Stack AI with 32 hours of hands-on AI Development and expert instruction by Hitesh Choudhary and Piyush Garg—use coupon NAVLLM to enroll now!

Courses Contents

* Overview of Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course on Udemy

* What to Expect from the Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

* What You Will Learn in Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph

* Why Choose This Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course on Udemy

* Recommended Courses with AI Development Focus

* Our Review of Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

* Rating the Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

* Additional Information from Search Insights

Overview of Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course on Udemy

The Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph course on Udemy is a comprehensive guide to building modern AI applications using Python. Instructors Hitesh Choudhary and Piyush Garg deliver hands-on training in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and LangGraph for scalable AI app deployment. Published in August 2025, this course includes 32 hours of on-demand video, 4 articles, 6 downloadable resources, lifetime access, mobile/TV compatibility, and a certificate of completion. Enroll today with udemy coupon codes NAVLLM (valid until September 30, 2025—check the offer box below for the discount link!)

What to Expect from the Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

This 32-hour course offers a project-based learning experience, perfect for beginners and advanced developers. Hitesh Choudhary and Piyush Garg guide you through practical projects, from tokenization to deploying scalable AI apps. You’ll work on real-world scenarios, such as building AI agents and integrating Vector DBs with RAG. Accessible on Udemy’s platform, the course supports flexible learning on mobile, TV, or desktop, with assignments to reinforce your skills in AI orchestration.

What You Will Learn in Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph

By enrolling, you’ll gain expertise in the following areas:

* Master Large Language Models (LLMs) for natural language processing tasks.

* Implement Retrieval-Augmented Generation (RAG) to enhance AI responses.

* Build intelligent AI Agents for automated decision-making.

* Use Vector Databases for efficient data retrieval in AI applications.

* Create workflows with LangGraph for advanced AI orchestration.

* Deploy scalable AI apps using Python and modern frameworks.

Why Choose This Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course on Udemy

This course stands out due to the expertise of Hitesh Choudhary and Piyush Garg, who bring deep knowledge in AI development. Published in August 2025, it covers cutting-edge tools like LangGraph and RAG, making it ideal for aspiring AI engineers. With 32 hours of content, 4 articles, and 6 downloadable resources, it offers exceptional value. The hands-on approach and community support enhance the learning experience. Use udemy promo codes NAVLLM to get at a discount (see offer box)!

Master LLM Engineering & AI Agents: Build 14 Projects – 2025 Best seller

Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community

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* Master LLM Engineering & AI Agents: Learn LLM Engineering with hands-on projects using Hugging Face and CrewAI.

* Python for AI and Machine Learning: Build AI models with Python for real-world applications.

* Advanced R Practice and Vector DBs: Dive deeper into Retrieval-Augmented Generation and Vector Databases for AI optimization.

Our Review of Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

As website admins, we evaluated this course for its structure, instructor quality, and practicality. The course is well-structured, with clear modules covering Full-Stack AI comprehensively. Hitesh Choudhary and Piyush Garg deliver engaging, practical tutorials, making complex topics like Vector DBs and LangGraph accessible. The hands-on projects, such as building AI Agents, ensure immediate applicability, though some Python experience is recommended.

9.5Expert Score

Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph

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

32 hours on-demand video

9.5

4 articles

9.5

6 downloadable resources

9.5

Access on mobile and TV

9.5

Full lifetime access

9.5

Certificate of completion

9.5

Pros:

* In-depth coverage of modern AI tools like RAG and LangGraph.

* Extensive 32 hours of content with practical, real-world projects.

* Expert instruction with clear explanations and community support.

Cons:

* Lengthy duration may feel overwhelming for beginners.

* Advanced topics like scalable AI apps require some coding background.

With udemy courses coupon NAVLLM, it’s a steal!

Rating the Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph Course

Overall Rating: 9.5/10

* Content: 9.7/10 – Covers all Full-Stack AI topics thoroughly.

* Delivery: 9.3/10 – Engaging, but pacing may vary for novices.

* Value: 9.5/10 – Affordable with udemy discounts coupon NAVLLM.

Enroll now to master AI development with this top-tier course!

Additional Information from Search Insights

This course aligns with trending search keywords like Full-Stack AI, Large Language Models, RAG, and LangGraph, reflecting its relevance in the fast-evolving AI industry. These keywords highlight the demand for skills in AI orchestration, Vector Databases, and scalable AI apps, making this course a timely choice for learners in 2025.