Generative AI & LLM Engineering: From Foundations to Production

Generative AI is transforming the future of software development, automation, enterprise applications, and intelligent systems. This comprehensive course is designed to take you from the fundamentals of Generative AI to building and deploying production-ready Large Language Model (LLM) applications used across modern industries.

You'll begin by understanding the foundations of Generative AI, including Autoencoders, Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and the differences between traditional Machine Learning and Generative AI. The course then explores Large Language Models (LLMs), their evolution, architectures, modalities, and techniques for selecting the right model for real-world applications.

Next, you'll master Prompt Engineering, learning prompt design strategies, prompt versioning, adversarial prompting, defensive techniques, and best practices for building reliable AI systems. You'll gain hands-on experience with Vector Databases such as FAISS and ChromaDB, embeddings, semantic search, and document retrieval.

The curriculum provides an in-depth exploration of LangChain, OpenAI, Groq, Hugging Face, structured outputs, streaming, document loaders, embedding models, and vector stores. You'll also learn modern LLM Fine-Tuning techniques, including PEFT and prompt-based optimization.

A significant portion of the course focuses on Retrieval-Augmented Generation (RAG), covering document ingestion, chunking strategies, hybrid retrieval, reranking, query expansion, HyDE, LangSmith observability, Guardrails, and RAG evaluation using RAGAS metrics.

Finally, you'll learn how to design, develop, deploy, and scale production-grade AI applications using Git, Docker, Streamlit, AWS, CI/CD pipelines, Advanced RAG techniques, AI Agents, and complete two end-to-end capstone projects that demonstrate industry-ready expertise.

Whether you're an aspiring AI Engineer, LLM Engineer, Machine Learning Engineer, Data Scientist, or Software Developer, this course equips you with the practical skills, production workflows, and portfolio projects needed to build modern Generative AI applications with confidence.