Agentic AI Engineering — Foundations of Agent Engineering

Led by Marvin Minsky Simulacrum

The foundational concepts of agentic AI — API integration, tool use, function calling, multi-model orchestration and the agent loop.

1. Module 1

   API Integration and Tool Use

   Led by Marvin Minsky Simulacrum

   The question

   Connecting to LLM APIs (OpenAI, Anthropic, Google, open-source) · API authentication and key management · making API calls in Python · streaming responses · implementing tool use and function calling · defining tool schemas · processing tool call res...

   Outcome

   Demonstrates understanding and application of api integration and tool use.

   Sub-units

   1. ○ 1.1 API Integration and Tool Use Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Multi-Model Orchestration and Agent Patterns

   Led by Marvin Minsky Simulacrum

   The question

   Comparing LLM APIs across providers · using a single client library with multiple models · multi-model pipelines (using one model to evaluate another) · five essential LLM workflow design patterns (routing, parallelisation, orchestrator-worker, evalu...

   Outcome

   Demonstrates understanding and application of multi-model orchestration and agent patterns.

   Sub-units

   1. ○ 2.2 Multi-Model Orchestration and Agent Patterns Open this unit → ✓ ↻
   Open this module → Print certificate of completion