Career path
Training for AI engineers
Microsoft Learn helps you discover the tools and skills you need to become an AI engineer.
Browse the official collection for AI engineers
What is an AI engineer?
Artificial intelligence (AI) engineers are responsible for developing, programming and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering. Though this career is related to data engineering, AI engineers are rarely required to write the code that develops scalable data sharing. Instead, artificial intelligence developers locate and pull data from a variety of sources, create, develop and test machine learning models and then utilize application program interface (API) calls or embedded code to build and implement AI applications.
Your path to becoming an AI Engineer
Option 1: Self-Paced Training
Work through online guided trainings paths at your own pace. As you journey through the learning paths and modules, you will be exposed to some of the skills you need to help you get credentialed.
Option 2: Instructor led training
Choose a traditional classroom training setting to learn on your own schedule, at your own pace, and in your own place.
Get Certified
Once you have completed the self-paced training and/or the instructor led course, try a practice assessment to see if you are ready for the certification exam.
Get connected
Are you interested in professional networking with other AI engineers? Would you like to connect with training, placement, recruiting partners or employers for jobs?