Generative AI with Large Language Models
by AWS + DeepLearning.AI
Created by Amazon Web Services and DeepLearning.AI, this course takes you inside the architecture of large language models — the technology behind ChatGPT, Claude, and Gemini. You will learn how these systems are trained, fine-tuned, and deployed in production. This is not a beginner course; it requires some AI familiarity. But for anyone who wants to work with AI systems professionally — in engineering, product, or technical leadership — it provides exactly the right depth.
What you will learn
- How transformer models — the architecture behind ChatGPT — work at a technical level
- How large language models are trained on data and fine-tuned for specific tasks
- How to deploy and use LLMs in production applications using AWS infrastructure
- The trade-offs in model selection, cost, and performance for different use cases
- How to evaluate LLM performance and improve outputs through prompt optimisation
Who is this for
- People who completed a beginner AI course and want to go much deeper technically
- Professionals moving into AI engineering, ML ops, or AI product management roles
- Engineers and developers who want to build real applications using LLM APIs
- Technical managers who need to make informed decisions about AI infrastructure
Why we recommend it
- 1Co-created with AWS — directly applicable to the most widely used cloud AI platform
- 2Goes inside the actual technology, not just the surface-level concepts
- 3Taught by practitioners — not just academics — who deploy AI in production
- 4Covers both theory and real deployment: exactly the balance professionals need
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