How to get certification courses

A good starting path is to choose a role first, then follow the related training and certification path.

For AI, these Microsoft certifications are relevant:

• Microsoft Certified: Azure AI Fundamentals: for foundational knowledge of common machine learning and AI concepts, and how those workloads are implemented on Azure.
• Azure Data Scientist Associate: focused on building, training, and deploying machine learning models by using Azure Machine Learning.

A practical way to get started:

1. Choose the certification level: Fundamental, Associate, or Expert.
2. Pick a role focus based on career goals, such as developer, data scientist, AI engineer, or business-focused roles.
3. Use Microsoft Learn to study through modular learning paths and free online training.
4. Add instructor-led training if structured classroom learning is preferred.
5. Earn the certification by passing the exam. Completing Learn modules gives badges and learning path trophies, but certifications are earned by passing exams.

Since the goal is to build skills for company recruitment, role-based certifications are useful because they are aligned to industry-defined roles and real-world skills. Microsoft Learning supports roles such as developer, data engineer, data scientist, AI engineer, administrator, business analyst, and solutions architect.

If starting from a non-technical degree background, beginning with a Fundamentals certification is the most direct path, then moving to an Associate certification after building core skills.

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