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Mastering Generative AI: From Foundations to Real-World Applications

A free, self-paced learning path covering the core concepts, models, and tools of generative AI, with hands-on modules and a capstone project.

Learn from: the original creator. Original content published on YouTube. DigitalSkillX organizes these public resources into a structured learning path. DigitalSkillX does not claim ownership or partnership.

Lessons
0
Level
beginner

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About this path

This learning path is built from the Barnie Free Courses playlist 'Learning 5: Mastering Generative AI'. It guides you from the basics of generative AI through major model types, prompt engineering, hands-on text and media generation, building with AI tools, and ethical considerations. The path ends with a capstone project where you apply what you've learned to a real-world problem. Each video is a short module, so you can progress at your own pace.

What you will learn

  • Understand the fundamental concepts of generative AI and its evolution.
  • Identify major generative models including LLMs, GANs, VAEs, and diffusion models.
  • Apply prompt engineering techniques to get useful outputs from generative models.
  • Use generative AI tools for text, image, and audio creation.
  • Build applications using LangChain, vector databases, and RAG.
  • Assess ethical and legal implications of generative AI.
  • Complete a capstone project applying generative AI to a domain of your choice.

Who this is for

Beginners who want a structured free introduction before deeper practice.

Curriculum

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