Comprehensive training programs designed to build AI literacy, practical skills, and responsible usage across all levels
Choose your learning path based on your experience level and goals
Build foundational AI knowledge from history to practical prompting
Master advanced prompting techniques and AI workflow optimization
Explore frontier AI technologies and emerging applications
A comprehensive 4-module journey from AI history to responsible practical usage
From Human Logic to Generative AI
Alan Turing proposes the Turing Test. AI defined as machines that can mimic human intelligence.
Foundation EraIntelligence written as rules. Worked for small problems but couldn't adapt or learn new patterns.
Early SystemsKnowledge from experts encoded into software. Used in medicine and finance but difficult to update.
Knowledge EngineeringMachines learn patterns from data. No need to write every rule. Scalable intelligence emerges.
Learning EraNeural networks inspired by the brain. Can process images, audio, and language with high accuracy.
Perception BreakthroughAI moves from recognizing to creating. Writing, generating images, code, and conversational interaction.
Current EraWhat AI really is vs. common misconceptions
From mechanical calculators to neural networks
From rules to learning to generation
Where you already encounter AI systems
Why AI predicts but doesn't understand
Understanding limitations and expectations
Identify 2 AI systems you already use, write what problem they solve, and bring examples for discussion
What Changed, What Didn't, and Why It Matters
Spam filtering, fraud detection, recommendation systems, credit scoring, face recognition
ChatGPT, DALL·E, Claude, content generation, image creation
Understanding the fundamental differences
The illusion of understanding through fluency
How prediction drives generation
Choosing the right tool for the right job
Ask an AI tool to explain something you already know well. Note one thing it explains well and one thing it gets wrong or vague
LLMs, Image Models, World Models & Why Prompting Matters
Designed to understand and generate text, answer questions, summarize, explain, and draft content.
Designed to generate images, edit images, and understand visual content.
Aim to understand environments, predict outcomes of actions, and simulate real-world behavior.
How humans communicate intent to AI models
AI responds to instructions, not goals
Better alignment leads to better outputs
Identify one AI tool you've heard about. Write what model type you think it uses and write one question you would ask it
How to Communicate with AI Clearly, Safely, and Responsibly
A simple, repeatable framework for effective prompting
Who should the AI act as?
What should it do?
How should it respond?
"Write an email."
"You are a sales manager. Write a polite follow-up email to a client after a meeting. Keep it under 150 words."
Ask for sources, request "I don't know" responses, break tasks into steps, verify critical information
Is this factual?
Is this appropriate?
Is this verified?
Am I accountable?
Identify 3 tasks where AI can help you. Write one RTC prompt for each. Commit to safe usage.
Expanding your AI expertise with advanced and specialized programs
Take your prompting skills to the next level with advanced techniques, optimization strategies, and workflow integration
Explore frontier AI technologies, emerging trends, and cutting-edge applications shaping the future