Building an AI Agent Cohort 3
Dive into a practical, expert-led masterclass designed to build your analytics and data science expertise.
_page-0001 (1).jpg)
Building an AI Agent Cohort 3
- Dates: February 23, 2026 – March 20, 2026
- Time: 7 PM-8:30 PM
- Fee: KES 7,500
About the Event
AI Agents masterclass Cohort 3 - 2026
Objective: Empower participants to visually architect, debug, and deploy autonomous AI workforces using n8n’s no-code canvas, Reasoning Models, and Adaptive RAG. You will learn to transform business logic into self-correcting agents that act across apps, data lakes, and secure channels—without writing a single line of code.
Objective: Empower participants to visually architect, debug, and deploy autonomous AI workforces using n8n’s no-code canvas, Reasoning Models, and Adaptive RAG. You will learn to transform business logic into self-correcting agents that act across apps, data lakes, and secure channels—without writing a single line of code.
Why it matters
The Agentic Shift: Business operations are moving beyond simple automation to "Agentic Teams"; digital workers that autonomously plan, execute, and verify complex multi-step tasks.
Context is Currency: Next-gen RAG (Retrieval-Augmented Generation) allows no-code agents to "learn" your business instantly, accessing live data to make high-fidelity, hallucination-free decisions.
Visual Orchestration: n8n has democratized AI development, turning complex backend coding into an intuitive visual experience. If you can sketch a flowchart, you can build an enterprise-grade agent.
Ubiquitous Action: Modern agents don't just chat; they act. You will build systems that invisibly integrate into Slack, CRMs, and email to perform work where your team already lives.
Logic Over Syntax: The definitive skill of 2026 is "Flow Engineering." Success no longer depends on Python scripting, but on your ability to structure logic, guardrails, and loops using visual nodes.
Prerequisites
Conceptual Foundation: Understanding of GenAI capabilities (Reasoning vs. Chat).
Platform Access: An n8n Cloud account or Desktop version (no command-line installation required).
Model Credits: API Keys (e.g., OpenAI, Anthropic) to power the "brain" of your visual agents.
AI agents Course Outline
Meet Our Trainer
Ezra Muinde
Ezra Muinde is an AI Mastery, Agentic AI Systems, and Data Science specialist who bridges the gap between advanced AI capabilities and real-world business execution. He builds production-grade AI systems; including dashboards, autonomous agents, and data pipelines and then trains teams to independently design, deploy, and maintain similar solutions. His approach is implementation-first and battle-tested, with every technique proven in live client environments under real constraints of cost, scale, and reliability. He is also a Master’s student in Data Science at the University of Nairobi, strengthening his practice with rigorous academic grounding while delivering measurable, production-ready AI outcomes for organizations.