Local LLMs via Ollama & LM Studio – The Practical Guide
Local LLMs via Ollama & LM Studio – The Practical Guide by Maximilian Schwarzmüller Udemy Reviews and Coupons
Course Overview
“Local LLMs via Ollama & LM Studio – The Practical Guide” by Maximilian Schwarzmüller on Udemy is a hands-on course designed to teach developers how to run open large language models (LLMs) like Gemma, Llama, and DeepSeek locally on consumer hardware for AI inference. Spanning approximately 4 hours, the course includes video lectures, practical exercises, quizzes, and downloadable code examples. It covers setting up tools like Ollama and LM Studio, understanding hardware requirements, and applying LLMs to tasks such as image OCR, PDF summarization, and creative content generation. The course is beginner-friendly, requiring only basic programming knowledge, and emphasizes privacy, cost-efficiency, and offline capabilities.
Key features include step-by-step guidance, real-world use cases, and relevance for developers in 2025, when local AI solutions are increasingly valued for their independence from cloud services. Maximilian Schwarzmüller, a seasoned instructor with over 2 million students across his Udemy courses, leverages his expertise as a self-taught web developer and co-founder of Academind. His top-rated courses on JavaScript, React, and Vue attest to his teaching prowess. With an 2,328 students enrolled and a 4.7/5 rating from approximately 129 reviews, this course is a leading resource for mastering local LLMs.
User Reviews for Local LLMs via Ollama & LM Studio Courses
Students praise the course for its clarity, practical exercises, and real-world applicability. Many highlight Schwarzmüller’s ability to simplify complex LLM concepts, such as quantization and model configuration. One learner noted, “Max’s explanations made setting up Ollama a breeze, even on my modest laptop.” Another appreciated the hands-on projects, saying, “The PDF summarization exercise was practical and immediately useful for my work.”
Minor criticisms include a slightly fast pace for absolute beginners and a desire for more advanced topics, like fine-tuning LLMs for specific domains. One student commented, “It’s great, but I’d love deeper dives into model customization.” Another mentioned, “The course moves quickly at times, but the examples help clarify things.” Despite these points, the course maintains a 4.7/5 rating from around 129 reviews, reflecting its strong value for learners.
Local LLMs via Ollama & LM Studio Coupons and Discounts
As of May 8, 2025, learners can use the coupon code D_0525 to purchase the course for $12.99, valid until the end of May 2025. For additional savings, check platforms like coupons.com, GitHub repositories, or LinkedIn groups for Udemy deals. Udemy’s major sales, such as Black Friday and New Year, often feature significant discounts, helping learners avoid the full price. Regional pricing may vary due to currency differences, so verify costs on Udemy’s platform.
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Why Choose This Local LLMs via Ollama & LM Studio Course?
This course stands out for its expert instruction, practical focus, and affordability. Schwarzmüller’s proven teaching style ensures learners can confidently set up and use LLMs locally, with projects that mirror real-world AI applications. Priced at $12.99 with the coupon, it’s a cost-effective way to gain cutting-edge skills. In 2025, as privacy concerns and cloud costs drive demand for local AI, this course equips developers with the ability to create secure, offline solutions, enhancing career prospects in AI development, data science, or freelancing.
Conclusion
“Local LLMs via Ollama & LM Studio – The Practical Guide” by Maximilian Schwarzmüller is a must-take course for developers aiming to harness open LLMs locally. With a 4.7/5 rating, practical projects, and expert guidance, it delivers exceptional value. Use the D_0525 coupon to enroll for $12.99 before May 2025, and explore Udemy or coupon sites for further deals. Start building private, powerful AI solutions today—enroll now! Coupon availability and prices may vary. Verify discounts on Udemy or trusted coupon sites.
