Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents — Udemy Coupon 93% OFF

Quick Verdict: Is This Ollama Coupon Worth It?

What You'll Learn

Practical takeaways waiting inside this Development course:

• Install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally.
• Build complete chatbots with memory, history, streaming responses, and a Streamlit UI.
• Use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows.
• Parse structured output using Pydantic, JSON, CSV parsers, and .with_structured_output() methods.
• Implement advanced retrieval systems including similarity search, MMR search, threshold search, and optimized chunking.
• Use tool calling and function calling with DuckDuckGo, Tavily, Wikipedia, PubMed, and custom tools.
• Build production-ready AI agents using LangChain v1 agent API, dynamic model selection, middleware, state management, and real-time streaming.
• Create Agentic RAG systems including autonomous retrieval, context citation, custom FAISS tools, and streamed agentic responses.
• Build a complete Text-to-SQL Agent for MySQL with schema extraction, SQL generation, validation, execution, and automated error correction.
• Build LinkedIn scraper, resume parser, and data extraction workflows using Selenium, BeautifulSoup, LLM parsing, and Streamlit apps.
• Deploy LangChain v1 + Ollama applications to AWS EC2, configure remote servers, and run production-level AI apps.

Before you start

• Basic Python programming knowledge
• Familiarity with APIs and web requests
• Basic understanding of machine learning concepts
• Access to a computer with internet for installations and setups
• Curiosity to learn LLMs, AI agents, and RAG systems — everything else will be taught step-by-step.

Is Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents Still Relevant?

The last update landed August 27, 2026 — and for a Development course, freshness is the first thing to verify. An updated date means the instructor still maintains the material; a stale one means you learn last year's version of the tools.

The 4.7 rating from 8,494 learners suggests the content holds up in practice — ratings at that level rarely survive contact with outdated material. The entry bar looks low, which makes this a reasonable first course in the topic rather than a capstone.

What the Course Actually Delivers in 19h 30m

The published syllabus lists 11 outcomes — headlined by install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally.; build complete chatbots with memory, history, streaming responses, and a Streamlit UI.; use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows.. With hands-on labs and real-world projects, self-paced with lifetime access.

Is the Price Fair After the Coupon Discount?

The real comparison is not list versus coupon, but coupon versus the next-best course at the same sale price — and on ratings-per-dollar, this one compares well. $149.99 is the list price, but Udemy courses at this level almost never sell at list. This coupon brings it to $9.99 — a 93% cut worth $140.00. Spread over the runtime, that is about $0.51 per hour of instruction — cheaper than a coffee per study session.

About This Udemy Course

The official description by KGP Talkie | Laxmi Kant:

Learner Ratings: 4.7★ From 8,494 Learners

4.7 out of 5 from 8,494 learners on Udemy. Estimated split per star below.

* Split estimated from the aggregate score. Source: Udemy. Checked August 27, 2026.

Pros and Cons of This Course

Who Should Enroll (And Who Should Wait)

Enroll now if:

• You want Ollama skills with a certificate at the end
• You're starting from zero — the entry bar on this one is low
• You trust a 4.7★ learner record over marketing copy
• You want maximum cuts — this code takes 93% off
• You'll actually finish — code seats are limited, collectors waste them

Wait or look elsewhere if:

• You already mastered this topic — the first hours will feel like review
• You need a different language — this course is taught in English
• You collect courses without finishing them — let someone else take the seat

Meet the Instructor

KGP Talkie | Laxmi Kant

Udemy instructor · 8,494+ learners here · ★ 4.7

Full Profile ↗

Hands-on, example-driven teaching around real Development workflows — watch, build alongside, then test yourself with quizzes. Expect around 19h 30m of video.