iCog Labs builds cognitive architectures — AI systems that reason, plan, and act. An agent is more than a model: it has a perception layer, a planning module, action capabilities, and a revision loop. This module builds agents from scratch, starting with simple rules and graduating to LLM-powered reasoning.
Learn agentic ai step by step with narration, interactive theory, and hands-on pipeline activities. Everything you need is inside the lesson — no coding required.
Already know the basics? Go straight to building agentic ai pipelines visually.
Learning Objectives
What you'll learn in this module
- Understand the Perceive → Plan → Act → Observe → Revise agent loop
- Build a rule-based research agent with keyword-based knowledge retrieval
- Upgrade to a Claude-powered agent with natural language reasoning
- Visualize agent decision traces for transparency and debugging
Sector Applications
How this technology is used across African sectors
Automated literature review agents that search, summarize, and synthesize papers across multiple databases
Triage agents that assess patient symptoms, recommend next steps, and route to the right specialist
Advisory agents that combine weather data, soil conditions, and market prices to recommend planting strategies
Tutoring agents that adapt to each student's level, provide hints, and track learning progress
Register to track your progress.