Your four-phase learning plan
Use this roadmap as a guide, not a guarantee. Timelines depend on your experience and study schedule.
01
Phase 1: Build your foundations
Understand Python, APIs, JSON and Git.
02
Phase 2: Learn the practical tools
Learn machine learning basics, model evaluation, and AI fundamentals.
03
Phase 3: Complete a real project
Build an LLM application that uses retrieval and cites its sources.
04
Phase 4: Make your work job-ready
Add testing, security controls, logs, and deployment to your project.
Build your progress checklist
Tick off the activities you complete. Your progress is stored on this device, in this browser.
Useful certification options
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Certified AI Practitioner (optional)
Exam requirements and pricing vary. Always confirm details with the official certification provider.
Portfolio projects to build
- Website AI support assistant
- Document question-answering app
Roles to explore
Junior AI Engineer, AI Application Developer, AI Solutions Associate.