Open-Weight LLMs: Selection, Deployment, and Customization
With Laurence Moroney
Duration: 1h 27m
Skill level: Intermediate
Released: 7/27/2026
Course details
Open-weight models are transforming how organizations build and deploy AI—offering more control, flexibility, and cost efficiency than closed APIs. In this course, instructor Laurence Moroney shows you how to navigate the rapidly evolving open model ecosystem and confidently apply these models in real-world scenarios. Explore different model types, where to find and run them, and how to choose the right setup based on your needs. Gain a practical understanding of customization approaches, including prompting, retrieval-augmented generation (RAG), and fine-tuning. By the end of this course, you’ll be equipped with a clear framework for selecting, deploying, and adapting open-weight models for your own projects. This course is an ideal fit for developers, data professionals, and technical practitioners who want more control over AI systems, as well as AI-curious builders looking to move beyond API-only workflows.
Skills you’ll gain
Earn a sharable certificate
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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