Career Roadmap
Azure AI Engineer: Zero to Hero
This path is not just about models. It is about building AI solutions that work in real applications. Learn step by step, then validate your readiness with certification-focused practice.
Embark on your career roadmap by setting a target and staying accountable
Set targetStep 0 - Basics
Build a foundation before working with AI services.
2-4 weeks2-4 weeks
Step 0 - Basics
Build a foundation before working with AI services.
- Python basics
- Data formats (CSV, JSON)
- Basic cloud concepts
💡 You don’t need deep ML knowledge yet, just enough to understand how data flows.
Step 1 - Azure fundamentals
Get comfortable with Azure before using AI services.
2-3 weeks2-3 weeks
Step 1 - Azure fundamentals
Get comfortable with Azure before using AI services.
- Resource Groups
- Virtual Machines
- Storage Accounts
Certifications
💡 Use ExamOS quizzes to confirm your fundamentals.
Step 2 - AI fundamentals
Understand what AI and ML actually mean.
2-3 weeks2-3 weeks
Step 2 - AI fundamentals
Understand what AI and ML actually mean.
- Machine learning basics
- NLP and computer vision concepts
- Responsible AI
Certifications
💡 This step builds clarity before using Azure AI services.
Step 3 - Azure AI services
Start building AI features using managed services.
3-4 weeks3-4 weeks
Step 3 - Azure AI services
Start building AI features using managed services.
- Azure AI Vision
- Azure AI Language
- Azure AI Speech
- Azure OpenAI basics
Certifications
💡 Focus on using APIs to solve real problems.
Step 4 - Custom models and ML
Build and deploy custom models.
4-6 weeks4-6 weeks
Step 4 - Custom models and ML
Build and deploy custom models.
- Azure Machine Learning
- Model training and deployment
- Endpoints and inference
Certifications
💡 This is where you move beyond prebuilt APIs.
Step 5 - Generative AI
Work with modern AI systems and applications.
3-4 weeks3-4 weeks
Step 5 - Generative AI
Work with modern AI systems and applications.
- Azure OpenAI
- Prompt design
- RAG (retrieval-augmented generation)
Certifications
💡 Focus on real use cases, not just demos.
Step 6 - Integration and monitoring
Integrate AI into applications and monitor usage.
2-3 weeks2-3 weeks
Step 6 - Integration and monitoring
Integrate AI into applications and monitor usage.
- API integration
- Monitoring and logging
- Cost awareness
Certifications
💡 Use ExamOS quizzes to test real-world scenarios.
Final step - Certification and validation
Before booking AI-102, run multiple timed ExamOS quizzes, review weak areas, and repeat until you can clearly explain how your AI solution works end to end.
Final step - Certification and validation
Before booking AI-102, run multiple timed ExamOS quizzes, review weak areas, and repeat until you can clearly explain how your AI solution works end to end.
Realistic timeline
- 2 hours/day: around 4-5 months
- 3-4 hours/day: around 2.5-3.5 months
- Consistency matters more than intensity.
Embark on your career roadmap by setting a target and staying accountable
Set target