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AI-1001: What You'll Learn and Why It Matters

• by Jared Little • Alien Brain Trust
AI-1001: What You'll Learn and Why It Matters

AI-1001: What You’ll Learn and Why It Matters

I’m building an AI course. Not another “Introduction to ChatGPT” overview. Not a computer science degree in machine learning. Something different - something the market desperately needs but isn’t getting from existing options.

Let me tell you what AI-1001 actually is, who it’s for, and why I’m confident it’s going to change how professionals approach AI adoption.

The Core Problem AI-1001 Solves

Here’s what I see happening in organizations right now:

Scenario A: Leadership mandates “AI adoption.” Teams scramble to figure out what that means. Some people experiment with ChatGPT. Maybe someone builds a custom GPT. But there’s no strategy, no framework for evaluation, no understanding of security implications. Six months later, AI usage is scattered, inconsistent, and delivering minimal ROI.

Scenario B: An organization hires expensive consultants to develop an “AI strategy.” They get a beautiful deck full of buzzwords and theoretical frameworks. But when it comes to actual implementation, nobody knows how to translate that strategy into day-to-day workflows. The gap between strategy and execution remains wide.

Scenario C: Individual professionals know AI is important. They’ve played with tools. But they can’t figure out how to move from experimentation to strategic implementation in their specific role. They’re stuck in the “I know I should be using this more effectively” phase.

AI-1001 solves the gap between awareness and implementation.

What You’ll Actually Learn

Module 1: AI-First Mindset

This isn’t motivational content about embracing change. It’s a practical framework for thinking about AI as strategic advantage rather than just a productivity tool.

You’ll learn:

  • How to identify high-value AI use cases in your specific role
  • The difference between AI-augmented work and AI-replaced work
  • Strategic thinking frameworks for AI evaluation
  • How to build a personal AI adoption roadmap

Real-world application: You’ll walk away with a documented plan for where AI creates the most value in your current workflow.

Module 2: Know Your Options

There are hundreds of AI tools. New ones launch weekly. How do you evaluate what’s actually useful versus what’s just hype?

You’ll learn:

  • Tool evaluation framework (not just feature lists)
  • Security and privacy considerations for different tool categories
  • Cost-benefit analysis for AI tool adoption
  • Integration patterns and workflow design

Real-world application: You’ll have a reusable framework for evaluating any AI tool that crosses your path, now or in the future.

Module 3: Will I Be Replaced?

The honest conversation about AI and careers that goes beyond fear-mongering and blind optimism.

You’ll learn:

  • Which skills become more valuable in an AI-augmented workplace
  • How to position yourself as AI-augmented, not AI-threatened
  • Career adaptation strategies for different roles and industries
  • The economics of AI adoption and what it means for employment

Real-world application: You’ll develop a personal career adaptation strategy grounded in realistic assessment, not hype or fear.

Module 4: Stop Playing, Start Implementing

Moving from experimentation to systematic implementation.

You’ll learn:

  • How to design AI-augmented workflows that actually stick
  • Change management for AI adoption (for yourself or your team)
  • Measuring ROI and demonstrating value
  • Common implementation pitfalls and how to avoid them

Real-world application: You’ll implement at least one high-value AI workflow in your actual work during this module.

Module 5: Master Prompt Method

My framework for effective AI interaction that gets consistent, high-quality results.

You’ll learn:

  • Structured prompting techniques that work across different AI tools
  • Context management for complex tasks
  • Iterative refinement strategies
  • When to use AI versus when to do the work yourself

Real-world application: You’ll build a personal prompt library for your most common use cases.

Who This Course Is For

You’re a good fit if you:

  • Have real professional expertise and want to understand how AI amplifies it
  • Need to make strategic decisions about AI adoption (for yourself or your team)
  • Want practical frameworks, not just theoretical understanding
  • Care about security, privacy, and responsible AI implementation
  • Prefer learning from someone actively implementing AI, not just teaching about it

You’re probably not a good fit if you:

  • Want to learn how to build AI models from scratch (that’s not this course)
  • Need surface-level AI awareness for general literacy (this goes deeper)
  • Prefer purely academic content without real-world application
  • Expect a magic bullet solution with no implementation work required

How This Course Is Different

1. Security-Informed from Day One My 25+ years in cybersecurity mean security considerations aren’t an afterthought. Every tool evaluation, every workflow design, every implementation strategy includes security and privacy implications.

2. Implementation-Focused You’re not just learning concepts. You’re applying them to your actual work throughout the course. Every module includes hands-on implementation exercises tied to real use cases.

3. Tool-Agnostic Frameworks I teach you how to evaluate and use AI tools, not just how to use a specific tool. When new tools launch (and they will), you’ll have the framework to assess them strategically.

4. Built While Using AI I’m not teaching AI adoption from theory. I’m building Alien Brain Trust with AI tools, documenting the process, and teaching what actually works. The course curriculum itself was developed with Claude. The video content uses AI-generated audio. The workflows I teach are the workflows I use.

5. Honest About Limitations I’m not selling AI as a miracle solution. I’m teaching strategic implementation with realistic expectations about capabilities, costs, and constraints.

My Teaching Philosophy

Learn by doing, not just watching. Every concept ties to practical application. You’ll implement AI workflows in your actual work, not just theoretical exercises.

Context matters more than tools. I’ll show you how I use specific tools, but the real value is the framework for evaluating any tool in your specific context.

Security and strategy aren’t optional. These aren’t advanced topics - they’re foundational to sustainable AI adoption.

Transparency builds trust. I’m documenting the course development process publicly. You can see the work behind the work.

Course Development Timeline

Current Status: Curriculum structured, Module 1 in active development

Beta Launch Target: Q1 2026

What I’m doing between now and launch:

  • Developing module content and exercises
  • Creating video lessons
  • Building student resource materials
  • Testing curriculum with early reviewers
  • Documenting the build process publicly through this blog

How I’m building it: Using the same AI tools I teach. Claude for content development. Synthesia for audio production. VS Code + Claude Code for organization and documentation. The course is proof of concept for the methods I teach.

Early Access and Beta Testing

I’m planning a beta cohort before the full launch. If you want to be considered for early access:

  • Follow this blog for updates on development progress
  • Engage with the content - your questions shape what I cover
  • Reach out if you have specific use cases you want the course to address

Beta participants will get the course at a significant discount in exchange for feedback that makes the final version better.

The Bottom Line

AI-1001 is for professionals who need to move from AI awareness to AI implementation strategically.

It’s practical, security-informed, and focused on real-world application. It’s taught by someone actively building with AI, not just theorizing about it.

It bridges the gap between “I know AI is important” and “I know how to use AI strategically in my specific context.”

If that’s what you need, this course is for you.

What’s Next:

  • Continue following this blog for course development updates
  • See real examples of the frameworks I’m building into the curriculum
  • Watch me use AI to build the course itself
  • Get insights into the teaching philosophy and content structure

Questions About AI-1001? Drop them in the comments or reach out directly. Your questions help me understand what prospective students need most.

Want to Stay Updated? This blog is the primary channel for course development updates. I’m documenting the entire build process - wins, pivots, lessons learned, and timeline updates.

AI-1001 launches Q1 2026. The journey to that launch starts now. Come along for the ride.