AI Agents masterclass
Objective: Equip
participants with both practical skills and a solid conceptual foundation to
design, build, and deploy AI-powered automation agents. This includes hands-on
experience with Large Language Models (LLMs), n8n workflows, and
Retrieval-Augmented Generation (RAG) systems. Participants will also learn how
to integrate these agents ethically and securely into messaging platforms,
websites, and enterprise environments for real-world impact.
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)
What You’ll Gain
By the end of this masterclass,
you will:
·
Build fully functional AI automation agents
using n8n and LLM APIs
·
Implement RAG pipelines for accurate, real-time,
and domain-specific responses
·
Learn to connect agents to messaging platforms,
websites, and secure environment
·
Understand ethical AI integration, data privacy,
and responsible deployment practices
·
Gain confidence in designing workflows that save
time, reduce costs, and delight users
AI agents Course Outline
|
Day |
Date |
Objective |
Delivery |
|
Tuesday |
7/10/25 |
Introduction to AI Agents & RAG Concepts Define AI
agents, LLMs, RAG, function calling, embeddings, vector DBs |
Online (Live Session) |
|
Thursday |
9/10/25 |
n8n Crash Course – Installation & First Automation Add a basic
real-world workflow AI Agent Project Kickoff |
Online (Live Session) |
|
Tuesday |
14/10/25 |
Integrating LLMs with n8n Use
OpenAI API in workflows. |
Online (Live Session) |
|
Thursday |
16/10/25 |
Building RAG-Powered Chatbots Connect to a
vector database. Add FAQ document retrieval. |
Online (Live Session) |
|
Tuesday |
21/10/25 |
Prompt Engineering for AI Agents & Automation Tips for
dynamic prompts, memory, context windows. |
Online (Live Session) |
|
Thursday |
23/10/25 |
Deployment: Integrating with Telegram, WhatsApp, Slack Hosting
strategies + API keys + webhook setup. |
Online (Live Session) |
|
Tuesday |
28/10/25 |
Embedding Workflows in Websites & Products Using APIs
to power web-based apps. |
Online (Live Session) |
|
Thursday |
30/10/25 |
Ethical AI, Copyright & Data Protection Copyrights & Data protection |
Online (Live Session) |
|
Friday |
31/10/25 |
AI Agent Project Presentations |
Online (Live Session) |
Meet Our Trainer
Ezra Muinde
Ezra Muinde is a passionate data scientist with extensive experience in data analysis, business analytics, and decision science. With over seven years of professional experience — including four years as a data professional — Ezra combines technical expertise with a deep understanding of data storytelling and insights generation.
In addition to his data science background, Ezra is an experienced Excel trainer, skilled in guiding learners across basic, intermediate, and advanced Excel concepts. His teaching approach emphasizes practical application, empowering individuals to leverage Excel for data analysis, reporting, and informed decision-making.
Ezra's dedication to knowledge sharing has led him to mentor aspiring data professionals, helping them build impactful projects and grow their skills. Whether you're starting with Excel fundamentals or exploring advanced data techniques, Ezra's engaging style and real-world insights make learning both accessible and impactful.
