Training Curriculum
2-Week Hands-On Program | Hybrid Delivery
📅 Nov 2 & 9, 2025
⏰ Saturday 9am-1:30pm
👥 15 students max
Course Overview
Week 1: Foundations
Understanding AI types, first hands-on experience, building confidence. Learn to explain AI, use tools, and write effective prompts.
Week 2: Advanced Applications
Building real solutions, deployment, working with AI teams. Create RAG systems, agents, and deploy AI tools to production.
9:00 - 9:15 | Welcome & Orientation
- • Course overview & objectives
- • Logistics and hybrid format expectations
- • Icebreaker activities
9:15 - 9:45 | What is AI?
- • AI demystified: pattern matching, not magic
- • AI vs ML vs LLM hierarchy
- • Three types: Predictive, Generative, Agentic
- • Common misconceptions debunked
9:45 - 10:15 | Predictive AI Deep Dive
- • How it works (weather forecasting analogy)
- • Server failure prediction, capacity forecasting
- • Live demo: AWS SageMaker or DataRobot
- • Tools: SageMaker, Vertex AI, DataRobot
10:15 - 10:45 | Generative AI Deep Dive
- • How LLMs work (simplified)
- • ChatGPT, GitHub Copilot examples
- • Generate docs, scripts, and automation code
- • Live demo: Code generation
☕ Break: 10:45 - 11:00 AM
11:00 - 12:30 | Lab 1: Your First AI Conversation
- • Setup: Ollama + OpenWebUI
- • First conversation with AI
- • Prompt engineering basics
- • Engineering-specific use cases
- • Hands-on practice with real scenarios
12:30 - 1:15 | Agentic AI & Introduction to RAG
- • What are AI agents?
- • Introduction to RAG (Retrieval Augmented Generation)
- • Real-world agent examples
- • Preview of Week 2 labs
1:15 - 1:30 | Wrap-up & Homework
- • Q&A session
- • Homework assignment: Practice prompts
- • Resources for the week
Between Weeks: Practice & Exploration
Homework
Hands-on exercises to reinforce learning and prepare for Week 2
Support
Office hours, Slack channel, and async help from instructors
Resources
Additional reading materials and video tutorials