Resources
AI Career Roadmap
Five tiers, in order. Most people fail an AI interview not because of the models, but because the foundations underneath them are missing.
The five-tier roadmap
- 1
Foundations
Python, FastAPI, SQL, Docker and Cloud fundamentals.
- 2
Core concepts
Agents, MCP (Model Context Protocol), identity, A2A and RAG.
- 3
Platform specialization
Pick a track — Microsoft (Azure AI Foundry), AWS Bedrock or Claude.
- 4
Production skills
Observability, cost optimization, security, responsible AI and Agile delivery.
- 5
Capstone
A real deployed agent plus 2–4 portfolio projects on GitHub and LinkedIn.
Which programme matches which goal
Build and deploy AI agents
Agentic AI Mastery Program — Forward Deployed Engineer Track
Design enterprise cloud estates
Multi-Cloud AI — Azure & AWS Architecture & Administration
Secure the delivery pipeline
AI-Driven DevSecOps — Realtime Projects
Run AI infrastructure in production
The AI Infra Specialist — Docker, Kubernetes, Istio, CKA
Defend the estate
Cyber Security Specialist
Work in enterprise applications
SAP Training — S/4HANA, MM, FICO & SD
Related pages
Not sure which tier you are on?
A mentor will place you on the roadmap in a free 1-on-1 call.