Where do you want to go?

Choose an outcome, not a topic. Little Avi organizes the material into a clear core, timely deep dives and practical exercises.

Four goals. Four learning sequences.

Each path has five chapters and ten core items. Deep dives and tools stay in sequence without blocking completion.

Understand AI

From the units a model processes to a complete agent system—a path about mechanisms, not just tools.

Outcome By the end, you can explain how models represent information, learn, use external knowledge and connect to tools and agents.

chapters: 5
core: 10
deep dives: 6

What Are Tokens and How Do They Affect Language Models? 🪙

How Does Temperature Affect AI? 🌡️

Work smarter

A path that turns occasional AI use into a repeatable personal way of working.

Outcome By the end, you will have a method for choosing a focus, writing requests, managing knowledge and context, and turning repeated work into a process.

chapters: 5
core: 10
deep dives: 8
exercises: 2

How to Deal with AI FOMO and Not Get Left Behind

The New AI Skillset Everyone Working with AI Must Develop

Build something

A path from a small idea to a product that works with context, interface, real data and tools.

Outcome By the end, you can define a product, build a prototype, maintain consistency and connect knowledge, APIs and agents.

chapters: 5
core: 10
deep dives: 14
exercises: 2

The New AI Skillset Everyone Working with AI Must Develop

Disposable Apps — How to Build a Personal Solution in 10 Minutes ♻️

AI in Learning & Organizations

A path from changes in work to diagnosing, designing, building and responsibly adopting AI in an organization.

Outcome By the end, you can identify opportunities, analyze gaps, design and build an intervention, and assess value, adoption and risk.

chapters: 5
core: 10
deep dives: 12
exercises: 1

How Are We Using AI in 2025? Productivity-Out, Well-Being-IN

Gartner's Technology Adoption Hype Cycle 📉