Title: Azure AI Fundamentals: Build & Deploy AI

Location: US

Company: Microsoft

About this course:
This course offers a comprehensive introduction to artificial intelligence (AI) concepts and the array of Azure services available for developing AI solutions. Designed for individuals with both technical and non-technical backgrounds, this course requires no prior experience in data science or software engineering.
It is ideal for professionals looking to understand AI and machine learning concepts, particularly in relation to Azure services. It provides a foundational step for those considering advanced AI-related certifications or roles in AI development, data science, or cloud computing.
Participants will explore fundamental AI workloads, including machine learning, computer vision, natural language processing (NLP), and generative AI. The course emphasizes responsible AI principles, ensuring learners understand considerations such as fairness, privacy, and security in AI applications.

AI Workloads and Considerations – Understand AI types and responsible AI principles.

Machine Learning on Azure – Learn ML concepts and Azure ML tools.

Computer Vision Solutions – Explore image recognition and object detection.

Natural Language Processing (NLP) – Analyze text, translate, and process language.

Generative AI – Understand AI-generated content and applications.

Responsible AI in Practice – Apply ethical AI, privacy, and security.

The course introduces technical professionals to core AI concepts, machine learning fundamentals, and the application of Azure AI services to build intelligent solutions. ​

Duration: 1 week

Skills:
- Artificial Intelligence
- Artificial Intelligence Development
- Computer Vision
- Data Science
- Machine Learning
- Microsoft Azure
- Natural Language Processing

Curriculum:
- AI Workloads and Considerations – Understand AI types and responsible AI principles.
- Machine Learning on Azure – Learn ML concepts and Azure ML tools.
- Computer Vision Solutions – Explore image recognition and object detection.
- Natural Language Processing (NLP) – Analyze text, translate, and process language.
- Generative AI – Understand AI-generated content and applications.

- Responsible AI in Practice – Apply ethical AI, privacy, and security.