AI Engineering Course

By the end of the course, you will understand how LLMs work and be able to use them to create real applications.

What you will learn:

• Develop mental models of how LLMs in the style of GPT work
• Understand processes such as tokenization, embeddings, attention, and masking
• Optimize LLM inference using caching, batching, and quantization
• Design and deploy RAG pipelines using vector databases
• Compare methods: prompt engineering, fine-tuning, and agent-based architectures
• Debug, monitor, and scale LLM systems in production