[DAY 1 – PREVIEW] Your AI Advantage Starts Here
You made it to Day 1. Let’s kick this off right.
You're probably already using AI. Maybe daily. And you think you've got it down.
But here's what most people miss: knowing how to use a tool and knowing how to dominate with it are not the same thing.
Over the next 5 days, you're going to connect dots you didn't even know were scattered. The tech. The landscape. Prompting. Bias. Mindset. All of it.
Not as separate skills. As a system.
And when it clicks, you'll go from "I'm guessing my way through this" to "I'm moving with intention."
Let's get started.
How Each Day Works
- 2–4 video lessons (~5–20 min each).
- Interactive activities to reinforce what matters.
- Quick action at prompt and reflection the end so you apply and personalize the skills.
- Daily email reminder. Miss a lesson? No stress. It'll be available in your dashboard.
The more you engage, the more this pays off.
Do This Before You Begin
Take This Short AI Self-Assessment
If the form doesn’t load, open it directly here:
Open Form →Today’s Overview
Today’s Lesson
Contents: 3 mini-lessons
Estimated Time: 35 minutes
Course Progress
What You’ll Learn Today
- Why it’s important to learn AI now and why this isn't a passing tech trend
- How AI actually works (in simple, non-techy terms)
- How AI is shifting work and career paths (and how to get ahead)
- The mindset shift that separates superusers from everyone else
Stat of the Day
Get strategic with AI now and you'll build the kind of trust that opens doors.
Mini Lessons
Today there are three lessons to cover:
Scroll below to watch short videos covering each topic.
#1: The AI Tipping Point
You already know AI is here. The question is: are you using it like everyone else or are you getting ahead of where this is going?
Key Takeaways
AI is a permanent shift in how we work, create, & make decisions.
- Tech adoption is accelerating (AI estimated to hit 1B users in just 3 years)
- AI is getting better, faster
- Already surpasses human intelligence in many domains
- Its ability to complete complex tasks is doubling every 7 months
- Why now? The perfect storm:
- More data, compute power, competition, access, formats, & investment
- We’re in the growth + integration phases
- AI is becoming more autonomous, embedded, and essential
- Its reach will touch every industry and every function
Sources
- 1B User Target (Yahoo! Tech, Yahoo! Finance)
- Test Scores of AI Systems Relative to Human Performance (Our World in Data)
- Lengths of Tasks AI Can Do (METR)
Interact
This Isn't Just Another AI Crash Course
No matter your starting point, you’ll find ideas here that shift how you think about AI.
Each day builds on the last. You'll get foundational knowledge, better strategies, and an upgraded mindset to apply AI to the work you already do.
#2: How AI Really Works (LLMs Simplified)
This lesson breaks down how AI works, so you can ask better questions and get better answers.
Key Takeaways
LLMs are prediction engines. Knowing that helps you guide their outputs & judge what to trust.
- LLM = Large Language Model — the core tech behind most AI tools today
- LLMs are trained to understand & generate human-like language
- Building an LLM happens in two key phases:
- Pre-Training (Expensive & Infrequent)
- Ingest billions of webpages, books,code
- Break text into “tokens” & condenses data
- Train a neural network to predict the next word
- Post-Training (Cheaper & More Frequent)
- Use human feedback to teach it how to behave like an assistant
- Train it on human Q&A data for clearer, more helpful responses
- Fine-tune for tasks, tone, & safety
- Pre-Training (Expensive & Infrequent)
- LLMs are prediction machines — every response is a best guess
- Output depends on: training data, model weights, prompt clarity, & the prediction engine behind the scenes
Sources
- OpenAI Tokenizer
- Looking Under the Hood of an LLM Example (Anthropic)
Interact
#3: How To Stay Relevant As Work Evolves
The workplace is shifting. This lesson shows what separates passive users from the new leaders and how to start thinking like a Composer.
Key Takeaways
While most will stay users, those who adopt the Composer mindset will lead the shift & have an edge.
- The AI shift is already underway in the workplace
- 78% of businesses now use AI in at least one function
- Job postings and skill requirements related to AI are rapidly growing
- The future belongs to the “Composers”
- Composers don’t just use AI, they orchestrate it
- They lead the shift by combining human insight with AI capabilities
- Core traits of a Composer:
- Strategic
- Systems-minded
- Discerning
- Creative
- Proactive
- Adaptable
- Curious
- We’ll go deeper into the Composer mindset in Day 5
Sources
- 1 in 4 Tech Jobs Seeking AI Skills (LinkedIn)
- The AI Shift is Already Happening (WSJ, McKinsey, SAP, Harvard Business School)
Interact
This Is Just the Start
Day 1 lays the groundwork. The next 4 days dive deeper into choosing the right AI tools, smart prompting, watch-outs, and applying it all to your work.
Take Action
You just learned how fast AI is accelerating and what sets power users apart. Now let’s see how it will impact you.
- Pick an AI tool below to run this exercise. Choose the one you use most or try a new one.
- Copy this prompt and paste it into your chosen AI chat.
- Answer the quick questions inside your chat window to see how AI could impact your role and daily work.
- Unlock the Bonus Challenge to uncover your personal AI advantage and most valuable future skills.
This is your first real prompt experiment. You’ll go deeper on prompting later in the course.
Mark Day 1 Complete
If the form doesn’t load, open it directly here:
Open Form →Ready to Put AI to Work?
If you made it this far, you're not just curious. You're ready to put AI to work.
Join the full challenge to go from interested to unstoppable.
Share What You Learned
What’s one insight or shift you had today?
Share your take. Your perspective might help someone else.
Want More?
Curious what's next? Check out tomorrow's sneak peek.
What’s the difference between choosing any AI tool and choosing the right one?
- (Hint: Knowing who does what.) Tomorrow, you’ll learn to pick the best tools and features for the job.
Enjoying the Course?
Know someone who’s trying to make sense of AI?
Share this with them and give them a head start.