Learn AI: Courses, Tutorials & Prompt Engineering

AI isn’t magic—it has predictable failure modes. Learn Janelle Shane’s 5 principles of AI weirdness, why models fail in surprising ways, and how to keep humans in the loop.

• Understand the 5 principles of AI weirdness
• Recognize AI limitations and loopholes
• Audit training data for bias

Learn how to use search, filters, categories, and comparisons to quickly find the best AI tools for your workflow.

• Find best‑fit tools fast with pro filters and comparisons
• Evaluate trade‑offs and avoid hype traps
• Build your personal AI tool shortlist

Understand the core concepts behind AI (ML, DL, LLMs) so you can choose tools with confidence and spot common limitations.

• Explain AI vs ML vs DL with confidence
• Understand LLM basics (tokens, context, temperature)
• Apply fundamentals to real tasks

Trace AI's journey from the 1956 Dartmouth Conference to today's deep learning revolution. Understand why classical AI failed, how neural networks succeeded, and what this means for modern AI tools.

• Understand AI's 70-year evolution
• Learn why classical AI failed vs deep learning succeeded
• Connect historical breakthroughs to today's tools

Develop critical AI literacy. Learn the difference between performance and understanding, recognize where models break, and evaluate AI tools with practical questions (inspired by Melanie Mitchell’s work).

• Distinguish performance from understanding
• Recognize AI hype vs. reality
• Evaluate AI tools with critical questions

Practical frameworks for collaborating with AI at work. Learn the four rules, understand the jagged frontier, and choose between centaur and cyborg collaboration models (based on Ethan Mollick).

• Apply the four rules for co-intelligence
• Map the jagged frontier in your domain
• Choose centaur vs cyborg collaboration models

Explore optimistic—but pragmatic—ways AI can improve society. Learn the Doomers/Gloomers/Zoomers/Bloomers lens, iterative deployment, and how to shape positive outcomes (based on Reid Hoffman).

• Understand the four AI perspectives
• Apply iterative deployment principles
• Envision and build positive AI scenarios

Master Richard Susskind's essential frameworks for AI evaluation. Learn process vs. outcome thinking, intelligence-to-capability shift, and systematic risk analysis. Foundation for critical AI tool evaluation.

• Master process vs. outcome thinking
• Apply intelligence-to-capability shift
• Systematically evaluate AI risks

Master Frank Pasquale's four laws for AI governance. Learn Intelligence Augmentation vs. replacement, distinguish high-stakes from low-stakes systems, and preserve meaningful work in the AI age. Essential policy frameworks.

• Apply the four laws of robotics
• Distinguish IA from AI replacement
• Evaluate high-stakes vs low-stakes systems

Master Mustafa Suleyman's governance frameworks for AI and synthetic biology. Learn the four features of the wave, four-pillar containment, and how to navigate between chaos and authoritarianism. Essential for policy makers and leaders.

• Understand four features of the wave
• Apply four-pillar containment framework
• Design governance for dual-use technologies

Can AI be truly creative? Explore Marcus du Sautoy's three-tier creativity framework (exploratory, combinatorial, transformational). Learn how AI creates art, music, and writing—and what remains uniquely human. Essential for creative professionals.

• Understand three types of creativity
• Apply the Lovelace Test to AI outputs
• Design AI collaboration for creative work

Master ChatGPT from basics to advanced! A comprehensive course covering everything from first prompts to advanced techniques, practical applications, and ethical use. Perfect for beginners and power users alike.

• Craft effective prompts and conversations
• Apply ChatGPT to writing, coding, and productivity
• Use ChatGPT responsibly and ethically

Bridge theory and reality! Integrate AI into daily work. Learn best practices beyond prompting, add guardrails, and build reliable, outcome‑driven workflows.

• Design reliable AI workflows beyond prompts
• Add evaluation and iteration loops
• Ship outcomes in your day‑to‑day work

Become a master of AI dialogue! Learn the patterns and principles of effective prompting to get consistent, high‑quality outputs from LLMs.

• Craft precise instructions and constraints
• Use system prompts and evaluation
• Achieve reliable, consistent results

Understand how algorithms shape our lives and learn to stay in control. Explore the Algorithmic Bill of Rights, algorithmic thinking, and ethical AI practices. Essential knowledge for responsible AI use.

• Understand how algorithms influence decisions
• Apply the Algorithmic Bill of Rights framework
• Recognize and mitigate algorithmic bias

Build a one-person AI stack to validate ideas, ship an MVP, and run marketing and support without a team.

• Design a simple AI stack across research, build, marketing, and ops
• Pick tools based on your current stage and budget
• Avoid tool overload and focus on measurable ROI

Use AI to plan videos, write scripts, edit faster, design thumbnails, and understand your analytics.

• Map AI tools to each stage of your YouTube pipeline
• Pick editing, thumbnail, and analytics tools that match your size
• Avoid shiny-object syndrome and focus on measurable results