LLM Training • Updated Aug 2026
✓ Understand how Large Language Models work and the fundamentals behind modern Generative AI
✓ Write effective prompts and apply prompt engineering techniques to control model output
✓ Build applications using OpenAI APIs, ChatGPT, and Anthropic Claude
✓ Implement Retrieval-Augmented Generation (RAG) to ground LLMs in your own data
✓ Work with embeddings and vector databases to power AI search and retrieval
✓ Integrate LLMs into enterprise systems using APIs and Python
✓ Apply LLM reasoning capabilities as the foundation for building AI agents
✓ Develop AI chatbots and natural language processing (NLP) applications
Courses matched to your background and what you need to build.
🧑💻Software Developers
Build applications powered by LLMs using OpenAI and Claude APIs, implement RAG and vector search, and integrate language models into production systems. Focus on Python and AI-assisted development.
🏗️Solutions Architects
Design LLM-powered systems, choose the right models and integration patterns, and define architectures for embedding language models into enterprise applications.
📊Data Scientists & ML Engineers
Work with LLMs, embeddings, and vector databases for NLP and AI data discovery. Learn to evaluate model outputs and build knowledge-grounded AI systems.
🏢Business & IT Teams
Understand what LLMs can do for your organisation, learn effective prompt engineering, and explore practical use cases for content, research, and automation — no coding required.
🔒DevOps & Platform Engineers
Understand how LLM-powered applications are deployed and integrated, including API management and operational considerations for language model-based systems.
👔Technical Leaders
Understand LLM capabilities and limitations so you can make informed decisions on adoption, brief technical teams, and evaluate where LLM technology fits your AI strategy.
Whether you're beginning your AI journey or looking to advance your technical expertise, this course group provides a complete learning pathway to help you understand how LLMs work and how to build practical AI applications powered by today's leading language models.
★★★★★ "A really solid grounding in how LLMs actually work under the hood. Our developers left with the confidence to build real applications, not just call an API."
Head of EngineeringTechnology Sector, London
★★★★★ "The RAG and embeddings content
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