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Learn AI Specialist Career Track

Building a career in AI — prompt engineering, AI integration, no-code AI tools, and positioning yourself in the fastest-growing job market.

Develop AI skills that employers and clients value in 2026
Build a portfolio demonstrating practical AI capability
Understand the AI career landscape and where opportunities exist
Position yourself for AI roles across industries
Free forever No signup required Progress saved locally 15 lessons

Three tracks — pick your level. Progress is saved automatically in your browser.

BeginnerStart here. No prior knowledge assumed.
0 of 5 complete
Lesson 1
The AI Career Landscape in 2026
What AI roles exist, where demand is growing, and the realistic earning potential across different paths.
Lesson 2
Core AI Skills for Non-Engineers
What non-technical AI specialists need to know — prompting, evaluation, workflow design, and AI judgement.
Lesson 3
Prompt Engineering as a Professional Skill
Building genuine prompt engineering expertise — the techniques, the practice, and how to demonstrate it.
Lesson 4
AI Tool Evaluation
How to assess AI tools rigorously — capability, limitations, cost, and fit for specific use cases.
Lesson 5
AI Workflow Design
Designing processes that integrate AI at the right points — the architecture skill of AI specialists.

What makes AI specialist a distinct career rather than just using AI tools?

What is the most in-demand AI skill that does not require coding?

IntermediateBuild on the basics.
0 of 5 complete
Lesson 1
Agentic AI Basics
Understanding AI agents — what they are, how they work, and the minimal technical knowledge needed.
Lesson 2
AI for Content and Marketing
The AI marketing skills in highest demand — content production, campaign optimisation, personalisation.
Lesson 3
No-Code AI Automation
Building AI-powered automations without code — the practical implementation skill.
Lesson 4
Vibe Coding as a Career Skill
Building prototypes and tools without traditional coding — how this expands what AI specialists can deliver.
Lesson 5
AI Ethics and Responsible Deployment
Understanding the governance and responsible use principles that enterprise AI roles require.

What is agentic AI?

What is the best way to build an AI portfolio without an employer?

AdvancedDepth, edge cases and strategy.
0 of 5 complete
Lesson 1
Freelance AI Consulting
Building an AI consultancy — what clients pay for, how to find them, and what to charge.
Lesson 2
AI in Enterprise Roles
Internal AI enablement, change management, and the AI roles inside large organisations.
Lesson 3
Building an AI Portfolio
Projects that demonstrate AI capability — what to build, how to document it, and where to show it.
Lesson 4
Staying Current in AI
How to keep up with the fastest-moving field in technology without spending every hour on Twitter.
Lesson 5
AI Specialist Salary and Positioning
Realistic earnings and how to position for premium rates in AI consulting and employment.

What do enterprise AI roles primarily involve?

How should AI specialists price their work?

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