Full Stack AI Engineer 2026 - Generative AI & LLMs III

About this course

“This course contains the use of artificial intelligence”This course is a comprehensive, hands-on journey into Generative AI and Large Language Models (LLMs) designed specifically for Full-Stack AI Engineers. Unlike high-level or theory-only courses, this program focuses on how modern AI systems are actually built, deployed, optimized, and governed in production environments.

You will move beyond simple prompt experiments and learn how to engineer reliable, scalable, and enterprise-ready AI systems using LLMs, embeddings, retrieval, agents, tools, and full-stack application architectures. Every section of this course includes a step-by-step hands-on lab, ensuring you not only understand the concepts but also implement them in real code.

Section 1 — Introduction to Generative AI

You will build strong conceptual foundations by understanding Generative AI vs Discriminative Models, why generative systems matter, and how they are used across real-world industries such as enterprise software, healthcare, finance, and aviation. Hands-on Lab: Compare discriminative vs generative models, generate text using transformer-based models, and map real-world generative AI use cases.

Section 2 — Transformer Architecture & LLM Fundamentals

This section demystifies how transformers actually work, including self-attention, positional encoding, and encoder vs decoder architectures. You’ll also explore tokenization, embeddings, context windows, and how LLMs are trained using pretraining, fine-tuning, instruction tuning, and RLHF. Hands-on Lab: Implement

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