Claude & LLMs
From Developer to ML Practitioner — 33 lessons across 7 modules
33 Lessons
~1 hour each
PDF Labs
Reveal.js Slides
02
Claude API Setup & First Calls
03
Prompt Engineering Fundamentals
05
Context Windows & Long Documents
06
Structured Outputs & JSON Mode
07
Tool Use & Function Calling
12
MCP Servers — Concepts & Protocol
13
Building Your Own MCP Server
14
Cost, Caching & Rate Limits
18
LangChain & LlamaIndex
19
Choosing the Right Model
21
Transformer Architecture
22
Pre-training, RLHF & Constitutional AI
23
Embeddings & Semantic Space
24
When & Why to Fine-Tune
27
Dataset Preparation & Curation
28
LLM Evaluation Fundamentals
29
Building Eval Frameworks
30
Safety, Bias, Alignment & Red Teaming
31
Observability & Monitoring
33
Custom Training & Scaling Laws