Generative AI and LLMs for Developers - How it Actually Works

Category : Other
Type: Tutorials
Language: English
Total Size: 255.2 MB
Uploaded By: freecoursewb
Downloads: 34702
Last checked: Aug. 7th '26
Date uploaded: Aug. 7th '26
Seeders: 18186
Leechers: 9831
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About Generative AI and LLMs for Developers - How it Actually Works

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Generative AI and LLMs for Developers: How it Actually Works https://WebToolTip.com Released 7/2026 With Laurence Moroney MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 38m | Size: 255.2 MB Explore the essentials of how generative AI really works, from transformers to diffusion models, without the math. Course details Generative AI tools like ChatGPT and Stable Diffusion can feel like magic, but unde

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Generative AI and LLMs for Developers: How it Actually Works

https://WebToolTip.com

Released 7/2026
With Laurence Moroney
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 38m | Size: 255.2 MB

Explore the essentials of how generative AI really works, from transformers to diffusion models, without the math.

Course details
Generative AI tools like ChatGPT and Stable Diffusion can feel like magic, but under the hood, they follow clear and understandable patterns. In this course, instructor Laurence Moroney shows you how generative AI actually works, without getting lost in heavy math or academic theory. Break down the core building blocks of modern AI systems, including tokens, embeddings, attention, transformers, and diffusion models. Learn how text and images are generated step by step, from predicting the next token to transforming noise into visual content. By the end of this course, you’ll be equipped with a practical mental model for reasoning about how these systems behave, why they make certain mistakes, and how to work with them more effectively. This course is an ideal fit for software developers, engineers, technical product managers, and data professionals.

Skills covered
Large Language Models (LLM), Generative AI, Artificial Intelligence (AI), Artificial Intelligence Foundations