Best RAG (Retrieval Augmented Generation) Courses on Udemy for 2026
Master RAG pipelines, vector databases, LangChain/LlamaIndex, multimodal retrieval, and enterprise deployment in 2026.
Retrieval Augmented Generation (RAG) is exploding in 2026 — Gartner predicts 70% of enterprise AI apps will use RAG. This ranking is 100% data-driven: real enrollments, ratings, freshness of content, and project quality.
1. Ultimate RAG Bootcamp Using Langchain, LangGraph & Langsmith by Krish Naik
About This Course
With over 11,800 students and a near-perfect 4.7 rating, Krish Naik’s bootcamp is widely regarded as the most complete RAG course on Udemy in 2026. You’ll go from traditional RAG all the way to fully autonomous agentic systems using LangGraph and LangSmith for tracing and evaluation. The course includes five portfolio-ready projects (research agent, multimodal chatbot, enterprise knowledge base, etc.) and is updated regularly — the latest major refresh was August 2025. Perfect if you want a single course that takes you from beginner to job-ready.
What You’ll Learn
- Naive → Advanced → Corrective → Agentic RAG pipelines
- LangGraph multi-agent & stateful workflows
- Full LangSmith tracing, evaluation & debugging
- Multimodal RAG (PDF, images, audio)
- Production deployment & monitoring
Who This Course Is For
- Developers preparing for AI Engineer interviews
- Anyone wanting one complete end-to-end RAG course
Pros & Cons
| Pros | Cons |
|---|---|
| 11,800+ students & 4.7/5 rating | 20 hours can feel dense |
| Covers traditional → advanced → agentic | Requires basic Python |
| Full LangSmith debugging & evaluation | |
| 5 complete production projects | |
| Active community & regular updates | |
| Role-play enterprise use cases | |
| Multimodal RAG included |
- Enrollment: 11,872+ Rating: 4.7/5 Duration: 20h Updated: Aug 2025
Enroll Now: Ultimate RAG Bootcamp (11K+ Students) →
2. AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents by Ed Donner
About This Course
Ed Donner (ex-startup founder who sold his AI company) teaches you exactly how professional teams build LLM products. You’ll create eight real-world applications including a multi-modal support agent and an AI programmer that achieves 60,000× speedups. Combines RAG, QLoRA fine-tuning, agents, and polished deployment with Gradio/Streamlit.
What You’ll Learn
- RAG + QLoRA fine-tuning + Agents in one track
- Building AI programmer agents & multi-modal support bots
- Production deployment with Gradio/Streamlit
- Cost optimization & real-world performance tricks
Who This Course Is For
- Intermediate developers targeting AI Engineer roles
- Anyone who wants production-grade LLM code
Continue learning AI Integration Courses? → Top 10 Best AI Integration Courses on Udemy
Pros & Cons
| Pros | Cons |
|---|---|
| Taught by a real AI founder | Broader than pure RAG |
| 8 portfolio-ready production apps | Intermediate Python assumed |
| QLoRA fine-tuning + RAG in one course | |
| Uses 20+ frontier & open-source models | |
| Strong focus on cost, UX & deployment | |
| Real interview-style projects |
- Enrollment: 6,835+ Rating: 4.5/5 Duration: 18h Updated: Oct 2025
Enroll Now: AI Engineer Core Track (6K+ Students) →
3. RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n by Arnold Oberleiter
About This Course
The go-to course for 2026’s hottest trend: agentic RAG. Arnold blends LangChain/LangGraph with no-code tools (n8n, Flowise) and shows you how to build autonomous agents using GPT-4o, Claude 3.5, Gemini, Grok, and DeepSeek. Updated November 2025 with NotebookLM workflows and function calling.
What You’ll Learn
- Agentic RAG with LangGraph & ReAct agents
- No-code automation using n8n + Flowise
- Multimodal RAG + NotebookLM integration
- Function calling & tool-use patterns
Who This Course Is For
- Freelancers & automation enthusiasts
- Developers who love code + no-code hybrid
Pros & Cons
| Pros | Cons |
|---|---|
| Perfect code + no-code balance | Requires API keys |
| Covers newest models (Grok, DeepSeek R1) | Not 100% beginner-friendly |
| n8n automation projects | |
| Multimodal & NotebookLM sections | |
| Updated almost monthly | |
| Great for freelancers & automation |
- Enrollment: 6,224+ Rating: 4.6/5 Duration: 16h Updated: Nov 2025
Enroll Now: RAG Agents with LangChain & n8n (6K+ Students) →
4. Basic to Advanced: Retrieval-Augmented Generation (RAG) by Yash Thakker
About This Course
True zero-to-hero journey. Starts with local LLMs via Ollama, moves to vector databases (FAISS, Pinecone), and ends with three full chatbot projects (website, SQL, multimedia PDF). Excellent visual explanations and LangChain vs LlamaIndex comparison.
What You’ll Learn
- Local RAG with Ollama + FAISS
- Cloud vector DBs (Pinecone, Weaviate)
- Website, SQL & multimedia PDF chatbots
- LangChain vs LlamaIndex comparison
Who This Course Is For
- Complete beginners with zero prior AI experience
Pros & Cons
| Pros | Cons |
|---|---|
| Truly beginner-friendly | Slightly older rating (4.3) |
| Runs everything locally first | Last big update Feb 2025 |
| Great diagrams & visuals | |
| Multimodal RAG included | |
| Compares LangChain vs LlamaIndex |
- Enrollment: 7,813+ Rating: 4.3/5 Duration: 14h
Enroll Now: Basic to Advanced RAG (7K+ Students) →
5. RAG, AI Agents and Generative AI with Python and OpenAI 2026 by Diogo Alves
About This Course
The most frequently updated RAG course on Udemy — new sections almost every month. Covers OpenAI Swarm, o1 reasoning models, File Search, CrewAI, multimodal RAG, and Streamlit deployment.
What You’ll Learn
- OpenAI Swarm & o1 reasoning models
- CrewAI multi-agent systems
- File Search API & Knowledge Graphs
- Streamlit deployment
Who This Course Is For
- Developers deep in the OpenAI ecosystem
Continue learning Generative AI (Gen AI) Courses? → Top 10 Best Generative AI Courses on Udemy
Pros & Cons
| Pros | Cons |
|---|---|
| Updated monthly (latest Nov 2025) | Heavy OpenAI dependency |
| Includes Swarm, o1, CrewAI capstone | API costs add up |
| Streamlit deployment projects | |
| Multimodal RAG & Knowledge Graphs |
- Enrollment: 8,500+ Rating: 4.6/5 Duration: 18h
Enroll Now: RAG AI Agents 2026 (8K+ Students) →
6. Hands-On RAG with LangChain: Build Real-World Projects by Bharath Thippireddy
About This Course
Pure production focus: caching, advanced indexing (IVF, HNSW), reranking, metadata filtering, and RAGAS evaluation. Two massive real-world projects (company knowledge base + e-commerce semantic search).
What You’ll Learn
- Advanced indexing (IVF, HNSW)
- Reranking, metadata filtering, caching
- RAGAS evaluation framework
- Enterprise knowledge base & e-commerce search
Who This Course Is For
- Engineers building production RAG systems
Pros & Cons
| Pros | Cons |
|---|---|
| Deep production techniques | Not for total beginners |
| RAGAS evaluation included | Only 2 (but huge) projects |
| Cost & latency optimization | |
| Metadata filtering mastery |
- Enrollment: 5,200+ Rating: 4.6/5 Duration: 12h
Enroll Now: Hands-On RAG with LangChain (5K+ Students) →
7. Master RAG: Retrieval-Augmented Generation Systems [NEW] by Paulo Dichone
About This Course
Deep dive into the RAG Triad (Retriever → Generator → Fusion). Covers hybrid retrieval, multi-query, reranking, and agentic patterns. Over 10 hands-on projects from simple Q&A bots to advanced research agents.
What You’ll Learn
- Full RAG Triad mastery
- Hybrid retrieval & multi-query techniques
- Reranking & fusion strategies
- 10+ real projects
Who This Course Is For
- Developers wanting deep theoretical + practical RAG
Pros & Cons
| Pros | Cons |
|---|---|
| 10+ projects from scratch | Assumes basic Python |
| Excellent fusion module explanation | Fast-paced |
| Multimodal & hybrid retrieval | |
| Very active Q&A section |
- Enrollment: 4,765+ Rating: 4.6/5 Duration: 14h
Enroll Now: Master RAG Systems [NEW] (4.7K+ Students) →
8. Master Langchain v1 and Ollama – Chatbot, RAG and AI Agents by Laxmi Kant (KGP Talkie)
About This Course
Best course for fully local/offline RAG. Uses LangChain v1 + Ollama with models like Llama 3.2, Gemma3, Qwen3, DeepSeek. Includes AWS deployment and Text-to-SQL agents. Ideal for privacy-focused or low-budget setups.
What You’ll Learn
- 100% local RAG with Ollama
- LangChain v1 + latest open models
- Text-to-SQL RAG agents
- AWS & local deployment options
Who This Course Is For
- Privacy-conscious developers
- Anyone avoiding cloud API costs
Continue learning MCP Courses? → Top 10 Best MCP Courses on Udemy
Pros & Cons
| Pros | Cons |
|---|---|
| 100% offline possible | Needs decent GPU/RAM |
| Latest LangChain v1 coverage | |
| AWS & local deployment options | |
| Text-to-SQL RAG project | |
| No cloud API costs |
- Enrollment: 5,000+ Rating: 4.6/5 Duration: 12h
Enroll Now: Master LangChain & Ollama RAG (5K+ Students) →
Quick Comparison Table
| Rank | Course | Students | Rating | Hours | Best For |
|---|---|---|---|---|---|
| 1 | Ultimate RAG Bootcamp | 11.8K+ | 4.7 | 20 | Complete bootcamp |
| 2 | AI Engineer Core Track | 6.8K+ | 4.5 | 18 | Production LLM engineering |
| 3 | RAG Agents (n8n + LangChain) | 6.2K+ | 4.6 | 16 | Agentic & automation |
| 4 | Basic to Advanced RAG | 7.8K+ | 4.3 | 14 | Beginners |
| 5 | RAG + OpenAI 2026 | 8.5K+ | 4.6 | 18 | OpenAI ecosystem |
| 6 | Hands-On RAG Projects | 5.2K+ | 4.6 | 12 | Production techniques |
| 7 | Master RAG Systems | 4.7K+ | 4.6 | 14 | Deep RAG Triad |
| 8 | LangChain + Ollama | 5K+ | 4.6 | 12 | Local/offline RAG |
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FAQs: Everything About Udemy RAG Courses 2026
Q: Which is the best RAG course for absolute beginners on Udemy?
A: #4 Basic to Advanced: Retrieval-Augmented Generation by Yash Thakker — truly zero-to-hero with local Ollama setup first.
Q: Which course is updated most frequently in 2025-2026?
A: #5 RAG, AI Agents and Generative AI with Python and OpenAI 2026 by Diogo Alves — updated almost monthly.
Q: I want to build agentic RAG (2026 trend). Which one?
A: #1 Krish Naik or #3 Arnold Oberleiter — both deep dive into LangGraph agents.
Q: I don’t want to pay for OpenAI API. Which course?
A: #8 Master LangChain + Ollama — 100% local and offline.
Q: How much do these courses cost?
A: Usually $10–$20 during Udemy sales (90% off the $199 list price). Prices change daily.
Q: Do I get a certificate?
A: Yes — Udemy Certificate of Completion for every course, perfect for LinkedIn.
Q: Can I download videos for offline viewing?
A: Yes, Udemy app supports full offline download on mobile and desktop.
Q: Any free alternative to these paid courses?
A: DeepLearning.AI’s “Retrieval-Augmented Generation” on Coursera (free to audit), but no projects or certificate.
Disclosure: Affiliate links. We earn commission at no extra cost to you. Data accurate as of November 19, 2025.