Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
★ 4.7 rated · $9.99
Run open large language models like Gemma, Llama or DeepSeek locally to perform AI inference on consumer hardware.
$10.99 with coupon (list $159.99 — save $149.00, 93% off)
Coupon Verified: June 22, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for Local LLMs via Ollama & LM Studio - The Practical Guide on Udemy is $159.99. With the coupon code on this page, that falls to $10.99 — a saving of $149.00, or 93% off the standard rate Spread across 4h of on-demand video, that works out to roughly $2.75 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Maximilian Schwarzmüller walks you through explore & understand Open-LLM use-cases, achieve 100% privacy & agency by running highly capable open LLMs locally, and select & run open LLMs like Gemma 3 or Llama 4 — skills meant to be used, not just watched. It has already been taken by 9,882 students and holds a 4.6-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic understanding of LLM functionality & usage; NO programming or advanced technical expertise is required. Best suited to learners who already have footing in IT & Software. Plan for roughly 4h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Local LLMs via Ollama & LM Studio - The Practical Guide — taken from the official Udemy syllabus for IT & Software learners.
Explore & understand Open-LLM use-cases.
Achieve 100% privacy & agency by running highly capable open LLMs locally.
Select & run open LLMs like Gemma 3 or Llama 4.
Utilize Ollama & LM Studio to run open LLMs locally.
Analyze text, documents and images with open LLMs.
Integrate locally running open LLMs into custom AI-powered programs & applications.
What you need before enrolling in Local LLMs via Ollama & LM Studio - The Practical Guide — prerequisites as listed by the instructor on Udemy.
Basic understanding of LLM functionality & usage
NO programming or advanced technical expertise is required
If you want to run models locally: At least 8 GB of (V)RAM will be required
The full official description of Local LLMs via Ollama & LM Studio - The Practical Guide — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on June 22, 2026.
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