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Foundations

• Getting started
• Syntax and data
• Control flow
• Collections
• Functions and structure

Practical programming

• Files and data formats
• The Python standard library
• Packages and environments
• HTTP and APIs

Data science and AI

• Numerical computing
• Data analysis
• Text processing
• Machine learning
• Embeddings and similarity

Classical agents

• Long-running programs and state
• Deterministic decision logic
• Tools as capabilities
• Workflows and control
• Agent loop

LLM agents

• LLM reasoning
• OpenAI Responses API
• State and memory
• Tool selection
• LLM workflows
• Single-agent loop

Agents SDK

• SDK mental model
• Defining agents
• Tools in the SDK
• Memory in the SDK
• Workflows in the SDK
• Moving to the SDK

Multi-agent systems

• Why multiple agents
• Manager–worker pattern
• Inter-agent communication
• Long-running autonomy
• Failure and control
• Capstone

Notices