Top 10 Best LangChain Courses on Udemy for 2026

Top 10 Best LangChain Courses on Udemy 2026

Top 10 Best LangChain Courses on Udemy for 2026 - Master LLM apps, RAG, agents, and integrations with hands-on projects. Ideal for AI careers, developers, and generative AI in 2026.

LangChain, the powerhouse framework for LLM applications, is surging in 2026 with RAG, agents, and multi-tool chains revolutionizing AI development. With 40% YoY growth in adoption for generative AI and agentic workflows, Udemy’s top LangChain courses deliver practical, hands-on training for scalable apps. This curated list ranks the 10 best LangChain courses on Udemy for 2026 by popularity, ratings, and updates, based on expert insights and user feedback. From beginners building simple chatbots to pros deploying enterprise RAG, these picks feature demos, projects, and 2026 trends like LangGraph and Ollama.

Top 10 LangChain Courses

Below, we explore the top 10 best LangChain courses on Udemy, with detailed breakdowns of content, outcomes, and audiences. All include affiliate links to support your journey and our site.

1. ChatGPT and LangChain: The Complete Developer’s Masterclass by Stephen Grider

Intensive masterclass on integrating ChatGPT and LangChain into production apps. 2026 updates include advanced embeddings and vector DBs, perfect for real-world AI devs.

• Enrollment: 10K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 15 hours
• What You’ll Learn: Chains, conversational memory, RAG with embeddings, vector DBs like ChromaDB/Pinecone, tools/plugins, streaming.
• Target Audience: Developers, software engineers.
• Highlights: Production projects, performance optimization.
• Pros: Deep, practical focus on deployable apps.
• Cons: Assumes Python basics.

Get Course: ChatGPT and LangChain: The Complete Developer’s Masterclass

2. Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith by Krish Naik

Deep dive into RAG pipelines with LangChain, LangGraph, and LangSmith. Refreshed for 2026 with multimodal RAG, ideal for precision retrieval pros.

• Enrollment: 2K+
• Rating: ⭐⭐⭐⭐⭐ (4.7/5)
• Duration: 28 hours
• What You’ll Learn: Chunking, hybrid search, multi-agent workflows, debugging with LangSmith, adaptive RAG.
• Target Audience: Intermediates, data scientists.
• Highlights: Production-ready pipelines, real projects.
• Pros: Comprehensive RAG mastery, high value.
• Cons: Lengthy for quick learners.

Get Course: Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

3. LangChain- Develop AI Agents with LangChain & LangGraph by Eden Marco

Hands-on agent building with LangChain v1+ and LangGraph. 2026 edition adds agentic AI trends, suited for workflow automation.

• Enrollment: 5K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 10 hours
• What You’ll Learn: Agent architectures, LangGraph graphs, real-world agents, Python integration.
• Target Audience: Beginners to intermediates, AI enthusiasts.
• Highlights: Step-by-step projects, up-to-date ecosystem.
• Pros: Quick to advanced agents, engaging.
• Cons: Focuses more on agents than broad LangChain.

Get Course: LangChain- Develop AI Agents with LangChain & LangGraph

4. LLM & Generative AI Masterclass: Langchain, HuggingFace by Ankit Mistri

All-in-one for LLMs with LangChain and HuggingFace. Updated for 2026 with Ollama and Gradio, great for open-source AI builders.

• Enrollment: 8K+
• Rating: ⭐⭐⭐⭐⭐ (4.7/5)
• Duration: 19 hours
• What You’ll Learn: Prompt engineering, chains, HuggingFace models, RAG, deployment.
• Target Audience: Beginners to advanced, ML pros.
• Highlights: NLP workflows, structured outputs.
• Pros: Broad coverage, hands-on.
• Cons: Can overwhelm absolute newbies.

Get Course: LLM & Generative AI Masterclass: Langchain, HuggingFace

5. Master Langchain and Ollama - Chatbot, RAG and AI Agents by Laxmi Kant

Practical integration of LangChain with Ollama for local LLMs. 2026 updates on agentic RAG, ideal for offline AI devs.

• Enrollment: 1K+
• Rating: ⭐⭐⭐⭐⭐ (5.0/5)
• Duration: 14 hours
• What You’ll Learn: Chatbots, RAG setups, agents, AWS deployment, MySQL queries.
• Target Audience: Developers, data scientists.
• Highlights: Local LLM focus, custom tools.
• Pros: Privacy-oriented, thorough.
• Cons: Requires setup time for Ollama.

Get Course: Master Langchain and Ollama - Chatbot, RAG and AI Agents

6. Generative AI for NodeJs: OpenAI, LangChain - TypeScript by Alex Dan

Node.js-focused GenAI with LangChain in TypeScript. Tailored for 2026 with Pinecone and tools integration.

• Enrollment: 1K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 12 hours
• What You’ll Learn: OpenAI APIs, embeddings, vector DBs, chains, agents in JS/TS.
• Target Audience: JS/TS developers.
• Highlights: Multimodal modes, real-time data.
• Pros: JS-specific, production-ready.
• Cons: Limited to Node ecosystem.

Get Course: Generative AI for NodeJs: OpenAI, LangChain - TypeScript

7. Generative AI on AWS - Amazon Bedrock, RAG & Langchain by Rahul Trisal

AWS-centric GenAI with Bedrock and LangChain. 2026 focus on agents and MCP, for cloud AI.

• Enrollment: 3K+
• Rating: ⭐⭐⭐⭐⭐ (4.5/5)
• Duration: 16 hours
• What You’ll Learn: Bedrock models, RAG, agents, Streamlit apps, no-code basics.
• Target Audience: Cloud devs, beginners.
• Highlights: 9+ use cases, zero-exp friendly.
• Pros: AWS integration depth.
• Cons: AWS-specific.

Get Course: Generative AI on AWS - Amazon Bedrock, RAG & Langchain

8. Generative AI for Javascript Developers - LangChain, RAG by Amit Gupta

JS devs’ guide to LangChain and RAG. 2026 updates on embeddings and vector DBs.

• Enrollment: 2K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 11 hours
• What You’ll Learn: LLM apps, RAG, embeddings, Node.js workflows.
• Target Audience: JS architects, developers.
• Highlights: Hands-on projects.
• Pros: Tailored for JS, versatile.
• Cons: Assumes Node experience.

Get Course: Generative AI for Javascript Developers - LangChain, RAG

9. AI-Agents: Automation & Business with LangChain & LLM Apps by Arnold Oberleiter

Business automation with LangChain agents. Updated for 2026 hybrid stacks.

• Enrollment: 4K+
• Rating: ⭐⭐⭐⭐⭐ (4.5/5)
• Duration: 13 hours
• What You’ll Learn: Agents, RAG, function calling, Node/Python/JS, monetization.
• Target Audience: Devs, business pros.
• Highlights: Multi-lang support, sales strategies.
• Pros: Business-focused, innovative.
• Cons: Broad, less depth in one area.

Get Course: AI-Agents: Automation & Business with LangChain & LLM Apps

10. Langchain for beginners : Build GenAI LLM Apps in Easy Steps by Bharath Thippireddy

Gentle intro to LangChain for LLM apps. Ideal for 2026 starters with Streamlit builds.

• Enrollment: 1K+
• Rating: ⭐⭐⭐⭐⭐ (4.6/5)
• Duration: 8 hours
• What You’ll Learn: Basics, chains, agents, Streamlit apps, open-source models.
• Target Audience: Beginners, Python devs.
• Highlights: Simple steps, quick projects.
• Pros: Accessible, confidence-building.
• Cons: Lighter on advanced topics.

Get Course: Langchain for beginners : Build GenAI LLM Apps in Easy Steps

Comparison Table

Buying Guide: How to Choose the Best LangChain Course

Select by goal: Beginners pick Thippireddy for ease; RAG fans go Naik for depth. Devs choose Grider for production; JS pros love Dan or Gupta. Favor 2026 updates on LangGraph/Ollama. Hands-on projects (Marco) over theory. Short for quick wins, long for mastery. Udemy sales at $10-20 include lifetime access/certs. Test on local setups. Target AI skills for $120K+ LLM roles.

FAQs

What is the best LangChain course for beginners on Udemy in 2026?

Thippireddy’s Langchain for beginners for easy GenAI apps, or Grider’s Masterclass for projects.

How much do Udemy LangChain courses cost?

$10-20 on sales, lifetime access. Regular $80-150, promotions frequent.

Do Udemy LangChain courses provide certificates?

Yes, completion certs for LinkedIn/resumes in AI and development applications.

How long to complete a Udemy LangChain course?

8-28 hours, 1-3 weeks at 3-5 hours/week.

Are there free LangChain courses on Udemy?

Previews yes, full paid. Supplement with YouTube (LangChain docs) or free intros.

What skills lead to generative AI jobs?

RAG, agents, embeddings, deployment—key for AI engineer roles ($120K+ avg).

Can I learn LangChain without coding experience?

Some yes, but most assume Python/JS basics; start with Thippireddy.

Conclusion

Stephen Grider’s ChatGPT and LangChain: The Complete Developer’s Masterclass tops the list as the best all-around LangChain course in 2026, with unmatched production focus and updates. Enroll today to claim your spot in the generative AI revolution!