Building AI Agents Masterclass
Dive into a practical, expert-led masterclass designed to build your analytics and data science expertise.
About the Event
Building an AI Agent Masterclass
Objective: Equip
participants with the practical skills and conceptual understanding needed to
design, build, and deploy AI-powered automation agents using LLMs, n8n
workflows, and Retrieval-Augmented Generation (RAG) systems, while ensuring
ethical integration and real-world application through messaging platforms,
websites, and secure environments.
Why it matters
1. AI
agents and automation are transforming business operations, customer support,
and internal workflows.
2. RAG
(Retrieval-Augmented Generation) enhances LLMs by allowing them to access
private or real-time knowledge sources - key for accurate, context-rich
responses.
3. Tools
like n8n democratize workflow automation by lowering the code barrier.
4. Companies
are increasingly looking to integrate AI into their products and customer
touchpoints.
5. Prompt
engineering is no longer a fringe skill—it’s becoming as foundational as SQL or
Python scripting in AI-driven workflows.
Prerequisites
·
Basic Understanding of AI & LLMs
·
System Requirements (Docker or Node.js (v18+)
and npm if running locally without Docker) for n8n setup
·
API Accounts (OpenAI API key)
|
Day |
Date |
Objective |
Delivery |
|
Monday |
4/8/25 |
Introduction to AI Agents & RAG Concepts ·
Define AI
agents, LLMs, RAG, function calling, embeddings, vector DBs |
Online (Live Session) |
|
Wednesday |
6/8/25 |
n8n Crash Course – Installation & First Automation ·
Add a basic
real-world workflow · AI Agent Project Kickoff |
Online (Live Session) |
|
Friday |
8/8/25 |
Integrating LLMs with n8n · Use
OpenAI API in workflows. |
Online (Live Session) |
|
Monday |
11/8/25 |
Building RAG-Powered Chatbots ·
Connect to a
vector database. Add FAQ document retrieval. |
Online (Live Session) |
|
Wednesday |
13/8/25 |
Prompt Engineering for AI Agents & Automation ·
Tips for
dynamic prompts, memory, context windows. |
Online (Live Session) |
|
Friday |
15/8/25 |
Deployment: Integrating with Telegram, WhatsApp, Slack ·
Hosting
strategies + API keys + webhook setup. |
Online (Live Session) |
|
Monday |
18/8/25 |
Embedding Workflows in Websites & Products ·
Using APIs
to power web-based apps. |
Online (Live Session) |
|
Wednesday |
20/8/25 |
Ethical AI, Copyright & Data Protection · Copyrights & Data protection |
Online (Live Session) |
|
Friday |
22/8/25 |
AI Agent Project Presentations |
Online (Live Session) |
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.