Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph
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
Online Courses Contents
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 ONAMAI (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 ONAMAI to get at a discount (see offer box)!
Recommended Courses with AI Development Focus
Looking to expand your skills? Check out these related courses:
Master LLM Engineering & AI Agents: Build 14 Projects – 2025 Best seller
- 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.
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 ONAMAI, 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 LAUNCH10.
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.
FAQs on Udemy Coupon
Are there any limitations to access udemy coupon Code?
Yes, Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph coupon code is valid for the first 1,000 enrollments or for 30 days, whichever comes first. After that, the coupon will expire.
Is Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph free download available?
No, you cannot download Udemy course directly from the website. However, Udemy’s mobile app for iOS and Android allows you to download courses for offline viewing within the app.
Can I get a refund for the Full-Stack AI with Python: LLMs, RAG, Agents & LangGraph course, If I purchased with a coupon?
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
