Generative AI Mastery: From Fundamentals to Production Deployment

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About Course

Transform your AI career with this comprehensive course that takes you from Generative AI fundamentals to building production-ready systems. Designed for aspiring AI researchers and ML engineers.

Who This Course Is For

  • Students preparing for AI research or industry roles

  • Developers transitioning to Generative AI engineering

  • Developers building production AI applications

  • Freelancers targeting GenAI projects

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What Will You Learn?

  • Core Knowledge & Concepts
  • Understanding Generative AI Fundamentals
  • What makes Generative AI different from discriminative AI
  • History and evolution: GANs (2014) → Transformers (2017) → LLMs (2022) → Agentic AI (2025)
  • Probability, tokenization, and the mathematics behind generation
  • Prompt engineering: from basics to advanced techniques
  • Temperature, top-k sampling, and controlling model creativity
  • Deep Learning Architectures
  • Transformer Architecture: Attention mechanisms, multi-head attention, positional encoding
  • LLMs: How GPT, Claude, Gemini work under the hood
  • Diffusion Models: Understanding noise schedules and iterative generation (Stable Diffusion)
  • GANs & VAEs: Generative Adversarial Networks and Variational Autoencoders
  • Multimodal Models: Vision-language integration (CLIP, GPT-4V, LLaVA)

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