Part 01
LLM Fundamentals I
From Text to Prediction
Understand how text becomes tokens and vectors, and how a response emerges one token at a time.
AI COURSE FOR DEVELOPERS
Applied AI
for Developers
From language model fundamentals to APIs, structured responses and semantic search. All course presentations in one place.
Explore the presentationsExplore the course
Five parts. One clear learning path.
Start with the foundations and work your way towards practical applications, one topic at a time.
- Part 02
LLM Fundamentals II
Inside the Model
Look inside the Transformer: attention, positions, context windows, and the difference between training and inference.
- Part 03
Working with LLM APIs
Connect language models to applications through APIs and follow the first model calls in practice.
- Part 04
Prompting & Structured Output
Write clear prompts, generate structured results, and validate responses beyond schema adherence.
- Part 05
Embeddings & Semantic Search
Represent meaning as vectors, compare similarity, and find relevant content with semantic search.
Learn at your own pace
Open each presentation directly in your browser. Use its slide navigation and fullscreen mode, or download the PDF to read offline.