Agentic AI Engineering — Collaborative Agent Teams

Led by Demis Hassabis Simulacrum

Building collaborative AI agent teams with Crew AI — defining agents, tasks and processing modes, integrating tools, implementing memory, and building multi-agent financial research systems.

1. Module 1

   Crew AI Fundamentals

   Led by Demis Hassabis Simulacrum

   The question

   The Crew AI framework (agents, tasks, crews, processing modes) · defining agent roles and goals · sequential vs hierarchical processing · integrating multiple LLMs via LiteLLM · building a multi-agent debate system · tools and context passing between...

   Outcome

   Demonstrates understanding and application of crew ai fundamentals.

   Sub-units

   1. ○ 1.1 Crew AI Fundamentals Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Advanced Crew AI — Memory, Code and Custom Tools

   Led by Demis Hassabis Simulacrum

   The question

   Custom tool development (JSON schema, API integration, push notifications) · building multi-agent financial research systems · stock analysis with structured Pydantic outputs · Crew AI memory (vector storage, SQL implementation) · agents that generat...

   Outcome

   Demonstrates understanding and application of advanced crew ai — memory, code and custom tools.

   Sub-units

   1. ○ 2.2 Advanced Crew AI — Memory, Code and Custom Tools Open this unit → ✓ ↻
   Open this module → Print certificate of completion