Building products · MLOps · Governance · AI strategy
Module 1 · Introduction to AI
What Is AI, Really?
Artificial Intelligence is technology that learns patterns from data so it can make predictions, decisions, or generate content — without being explicitly programmed for every single case.
🍳Think of it like a recipe learner
Instead of following one fixed recipe, AI studies thousands of recipes and learns the underlying pattern — then can create a new one on request.
This is why GPT stands for "Generative Pre-trained Transformer" — trained on patterns first, then generating from them on demand.
🚫AI ≠ simple automation
A microwave timer follows fixed rules. AI adapts and improves based on data and feedback — that's the key difference.
Rule-based automation breaks on edge cases it wasn't coded for. AI models generalize to situations they've never seen before.
Module 1 · Introduction to AI
A Brief History of AI
Click a milestone for more detail.
Module 1 · Introduction to AI
How AI Actually Works (Simplified)
📚1. Data
AI studies huge amounts of text, images, or examples — like reading a massive library.
To write good emails, it studied millions of real emails and how people actually write them.
🏋️2. Training
It practices predicting the "next piece" over and over, adjusting until it gets good at it.
It got better at guessing the next word by practicing on that pattern billions of times.
💡3. Output
Given your prompt, it generates a response based on the patterns it learned.
Ask "write a thank-you note" and it generates one based on patterns from thank-you notes it has seen.
It doesn't "know" facts the way you do — it's predicting the most likely, useful response based on patterns. That's why checking its work still matters.
Module 1 · Introduction to AI
Types of AI You'll Hear About
🎯Narrow AI (what exists today)
Built for specific tasks — writing, translating, recognizing images. Every tool in this training is Narrow AI.
Spam filters, Netflix recommendations, and Siri are all Narrow AI.
🌌General AI (still theoretical)
Human-level intelligence across any task. Doesn't exist yet — despite the headlines.
Sci-fi robots like HAL 9000 or Data from Star Trek — still fiction, not reality.
🤖Machine Learning
Systems that improve at a task by learning from data instead of fixed rules.
A spam filter that keeps getting more accurate the more spam it sees.
✨Generative AI
A branch of ML that creates new text, images, audio, or video — ChatGPT, Claude, Midjourney, and more.
ChatGPT writing you an original poem, or Midjourney generating a brand-new image, on request.
Module 1 · Introduction to AI
AI Is Already in Your Everyday Life
Click each card to see why it's AI.
Module 1 · Introduction to AI
Myths vs. Facts
Click each card to reveal the fact.
MYTH
"AI will replace all jobs."
FACT
AI reshapes jobs more than it eliminates them — it automates tasks, and people who use AI well tend to outperform those who don't.
MYTH
"AI is always right."
FACT
AI can "hallucinate" — confidently state wrong information. Always verify important facts.
MYTH
"AI is brand new technology."
FACT
AI research dates back to the 1950s — what's new is how powerful and accessible it's become.
MYTH
"You need to code to use AI."
FACT
Most AI tools today just need plain English — no coding required to get real value.
Module 1 · Knowledge Check
Quick Check: Did It Stick?
1. What does Generative AI do that other AI doesn't necessarily do?
Sorts data into folders
Creates brand-new content
Only recognizes speech
2. Why should you double-check AI outputs?
AI can hallucinate confident-sounding but wrong info
AI never makes mistakes
It's illegal to use AI without checking
Module 2 · AI Tools & Their Benefits
Meet Your AI Toolkit
The smartest AI users in 2026 don't use just one tool — they pick the right tool for the task. Click a category for an example.
💬
Chatbots & Assistants
e.g. ChatGPT, Claude, Gemini
🔎
Research Tools
e.g. Perplexity
🎨
Image Generation
e.g. Midjourney, DALL·E 3
🎥
Video & Audio
e.g. Runway, Veo, ElevenLabs
📈
Productivity & Work
e.g. Notion AI, Copilot
👨💻
Coding Assistants
e.g. Claude Code, Cursor
Module 2 · Chatbots & Assistants
💬 ChatGPT
Key Benefit
The most versatile all-rounder — strong across writing, coding, research, images, and files.
Best for everyday tasks
Free tier available
chatgpt.com
✅Use it for
Drafting emails, brainstorming, summarizing, quick coding help, and general Q&A.
"Draft a friendly follow-up email to a client who hasn't replied in a week, keep it under 80 words."
Module 2 · Chatbots & Assistants
🟣 Claude
Key Benefit
Top-tier reasoning and code analysis, with a careful, thoughtful writing style for long documents.
"Review this contract clause for ambiguous language and flag anything that could be misread by either party."
Module 2 · Chatbots & Assistants
🔵 Gemini
Key Benefit
A massive 1-million-token context window plus deep integration into Gmail, Docs, Sheets, and Meet.
Best for Google Workspace
Huge documents
gemini.google.com
✅Use it for
Summarizing Drive files, drafting from email threads, and building Sheets formulas from your real data.
"Summarize this 40-page Drive doc into 5 bullet points a busy exec could read in 30 seconds."
Module 2 · Compare at a Glance
ChatGPT vs. Claude vs. Gemini
ChatGPT
Claude
Gemini
Best overall versatility
★★★★★
★★★★
★★★★
Reasoning & code analysis
★★★★
★★★★★
★★★★
Long document handling
★★★
★★★★
★★★★★
Workspace integration
★★★
★★★
★★★★★
Free tier
Yes
Yes
Yes
Ratings reflect where each tool consistently outperforms in hands-on testing as of 2026 — not a claim that any one tool is "worse" overall. Most people end up using two or three of these side by side.
Module 2 · Research
🔎 Perplexity — Your Research Assistant
📎Cited answers
Every answer links back to real sources — great for fact-checking and reducing hallucination risk.
perplexity.ai
"What are the top 3 competitors to [your product]? Cite your sources."
🌐Real-time search
Pulls current information from the live web, not just training data.
Regular chatbots can be months out of date. Perplexity checks the live web on every answer.
Best for: research, competitive analysis, and anything where you need to trust the source.
Module 2 · Image Generation
🎨 AI Image Generators
🖼️Midjourney
Best raw art quality — ideal for polished creative visuals.
midjourney.com
Album art, concept art, polished hero images.
⚡DALL·E 3
Fast iteration, built right into ChatGPT for quick concepts.
chatgpt.com
Quick mockups and iterating on an idea in the same chat.
🧩FLUX
By Black Forest Labs — open-weight models popular for custom, technical workflows.
bfl.ai
Developers who want to self-host or fine-tune a model. Search "bfl.ai" directly — copycat sites often outrank the real product.
Benefit: instant visuals for marketing, presentations, and design — no designer required.
Module 2 · Video & Audio
🎥 Video & Audio Tools
🎞️Runway
Text-to-video generation (Gen-4.5) for short, realistic or stylized clips and editing.
runwayml.com
Short social clips and quick storyboarding.
📹Veo
Google's high-quality video generator, tuned for creative storytelling.
deepmind.google/models/veo
Longer, more cinematic sequences with consistent style.
🎙️ElevenLabs
Lifelike AI voices for narration, dubbing, and audio content.
elevenlabs.io
Voiceovers, podcast dubbing, and multilingual narration.
Benefit: produce video and audio content without a production crew. Note: OpenAI's Sora was discontinued in 2026 (web/app retired April 26; API retired September 24) — tools above are current, actively maintained alternatives.
Module 2 · Productivity & Work
📈 AI for Everyday Work
📝Notion AI
Auto-summarizes notes, drafts docs, and organizes your workspace.
notion.so
Turning messy meeting notes into a clean action-item list.
🧷Microsoft Copilot
Built into Word, Excel, and Outlook for drafting and meeting recaps.
copilot.microsoft.com
Teams already living inside Microsoft 365 daily.
✅ClickUp Brain
AI-driven task and project management, right where your work lives.
clickup.com
Auto-generating subtasks and status updates from a project brief.
Module 2 · Interactive
Which Tool Should You Use?
Click what you need to do:
✉️ Write an email
📄 Analyze a long document
🔍 Research with sources
🖼️ Create an image
💻 Write or review code
👆 Choose a task above to see the recommended tool.
Module 3 · Hands-On Practice
Prompting 101
✅Do
Be specific · Give context · Ask for a format (list, table, tone) · Iterate on the response
"Write a 3-sentence LinkedIn post announcing our new product launch, in a friendly, confident tone."
🚫Don't
Assume it reads your mind · Expect perfection in one shot · Skip fact-checking · Share sensitive data
"write about marketing" — too vague, the AI has to guess your audience, tone, and goal.
Example: instead of "write about marketing," try "write a 3-sentence LinkedIn post announcing our new product launch, in a friendly, confident tone."
Module 3 · Live Activity
Try It Yourself ⏱️ 5 Minutes
Check off each step as you complete it.
🎉 Nice work — you just completed your first real AI task!
Module 3 · Hands-On Practice
Common Beginner Mistakes
😬Trusting AI blindly
Always verify facts, numbers, and citations before using them.
Ask "what sources support this?" or cross-check with a quick search before you rely on it.
❓Vague prompts
Vague in, vague out. Specificity gets dramatically better results.
Add audience, tone, length, and format to any prompt — it takes 5 extra seconds and changes everything.
🔒Ignoring privacy
Don't paste confidential or personal data into public AI tools.
Swap real names/numbers for placeholders like "[Client A]" before pasting.
🔁Giving up after one try
Treat it like a conversation — iterate instead of starting over.
Try "make it shorter" or "more casual" instead of rewriting your whole prompt from scratch.