Fundamentals of AI Agents

Master the architecture and logic required to build autonomous systems that perceive environments, reason through complex tasks, and execute actions through code. * **Build autonomous loops** using perception, reasoning, and action cycles * **Implement tool-calling** to connect LLMs with external APIs * **Design multi-agent systems** for complex task decomposition * **Manage state and memory** for long-running agentic workflows

3 sections ยท 9 lessons

Course outline

Foundations

  1. Defining Agents
  2. Core Architecture
  3. Agent Types

Capabilities

  1. Tool Use
  2. Reasoning Paths
  3. Memory Systems

Implementation

  1. Prompt Engineering
  2. Multi-Agent Systems
  3. Ethical Guardrails

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