Course Overview:
With this certification, you can prove that you understand the fundamentals of AI and machine learning as well as the relevant Microsoft Azure services. It is expected of you as a certification applicant that you are familiar with the instructor-led or self-paced study materials.
Prerequisite:
Data science and software engineering experience are not required. However, you would benefit from having awareness of:
- Basic cloud concepts
- Client-server applications
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Audience:
Professional from both technical and non-technical backgrounds.
Topic 1: Artificial Intelligence workloads and considerations
- Features of common AI workloads
- Guiding principles for responsible AI
Topic 2: Fundamental principles of machine learning on Azure
- Common machine learning techniques
- Core machine learning concepts
- Azure Machine Learning capabilities
Topic 3: Computer vision workloads on Azure
- Common types of computer vision solution
- Azure tools and services for computer vision tasks
Topic 4: Natural Language Processing (NLP) workloads on Azure
- Common NLP Workload Scenarios
- Azure tools and services for NLP workloads
Topic 5: Generative AI workloads on Azure
- Generative AI solutions
- Azure OpenAI Service
