🎓Basic AI Skills
7 competencies every professional needs in 2026.
What you'll learn
- Understand what AI can and cannot do — without illusions or fear
- Communicate with AI effectively: framing, context, iteration
- Use AI for research, analysis, and data-driven decisions
- Master writing with AI: emails, reports, presentations, documentation
- Detect errors, hallucinations, and unreliable output
- Design your own AI workflows and automations
- Know how to follow AI developments and evaluate new tools
Who this is for
Any professional who wants to use AI effectively and responsibly — regardless of industry or technical background.
Prerequisites
Syllabus
AI Literacy: What AI Can and Cannot Do
Understand the reality of AI in 2026 — without illusions and without fear. What AI excels at, where it fails, and how to read AI outputs critically.
Effective Communication with AI
Beyond basic prompting: framing problems, providing context, iterative refinement, and advanced communication techniques.
AI-Augmented Research and Analysis
Use AI for effective research, information synthesis, fact-checking, and data-driven decision making.
AI-Powered Writing and Communication
Emails, reports, presentations, documentation — how to use AI for writing without losing your voice and authenticity.
Critical Evaluation of AI Output
How to detect hallucinations, verify facts, assess quality, and know when AI is wrong.
AI Workflow Design
Build your own AI workflows — task chaining, automation, personal systems, and mental models for effective AI work.
Staying Current with AI
AI changes every month. How to follow developments, evaluate new tools, and build skills that stay relevant.
We also offer live workshops and custom training for teams.
Learn more about team training