AI Tools Fundamentals: Practical AI Skills for Your Actual Job
Six hours of hands-on practice across the six categories of AI tool that matter at work: assistants, image, video, meetings, automation, and research. You also get the SPACE prompting framework for asking well, and a six-factor method for choosing tools. Your 3 exercises are graded and returned with written feedback on what you submitted. Free courses will teach you what AI can do; this one checks whether you can do it.
- Agent modes keep changing their name. OpenAI's Operator became ChatGPT Agent, which became ChatGPT Work in August 2026. The skill — handing an assistant a multi-step job and checking its work — outlasts every label.
- Memory is on by default. Claude switched on memory across conversations for every account in March 2026, joining ChatGPT and Gemini. Your assistant now remembers you unless you tell it not to.
- Reasoning modes are standard. Every major assistant has a "think harder" setting, and knowing when to reach for it is worth more than knowing which model is fastest this month.
- Deep Research is built into ChatGPT, Gemini, Claude, and Perplexity — multi-minute, cited reports instead of a single answer.
- Video generation jumped a generation — Veo, Kling, and Runway now produce clips you can actually use. (OpenAI's Sora was a headline name here, and it shut down in 2026 — the tools move that fast.)
Why Start with AI Tools Fundamentals
Habits that carry over
Learn the core habits and frameworks every AI tool user needs — asking well, choosing tools, and checking the answer.
Useful from day one
You'll get results in the first lesson, and the habits you build carry over to every AI tool you pick up later.
Built for beginners
No prior AI experience needed. This is the place to start.
What Makes These Fundamentals Different
Build Real Skills
The 6 AI Tool Categories You Will Practice
AI Assistants
Image Generation
Video Creation
Meeting Assistants
Automation & Agents
Research Assistants
Professional Skills You'll Build
Professional Frameworks
- SPACE Prompting Framework – a five-part structure for asking well
- 6-Factor Tool Evaluation – pick the right tool for a given task
- Quality Assurance Systems – a routine for checking output before you send it
- Ethical AI Usage – handling bias and disclosure honestly
Ready-to-Use Assets
- Personal Template Library – reusable prompts for the work you repeat
- Professional Workflows – end-to-end processes you can run again
- Advanced Tool Skills – deeper work in ChatGPT, Claude, and NotebookLM
- Automation Systems – hand off the repeat steps in your week
Your Learning Journey
1What Are AI Tools
Practice prompts start in the first lesson, so you are typing within a few minutes.
2Types of AI Tools
Six kinds of tool, with practice in each: assistants, image generation, video, meetings, automation, and research.
3Choosing AI Tools
A six-factor method for deciding whether a tool is worth your time and money.
4Best Practices
The SPACE prompting framework, a routine for checking output, and how to use AI honestly.
5Practice Your Skills
Hands-on practice in writing, analysis and research, and creative problem-solving.
6Build Your AI Toolkit
Write your own prompt templates, wire them into your workflow, and keep them current as tools change.
Perfect For
Marketing and sales
Operations and product
Founders and consultants
Engineers and researchers will find this pitched below their level. If you build AI systems for a living, you already know most of what is here. We would rather say so now.