Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 23m | 428 MB
Instructor: Ziggy Zulueta
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 23m | 428 MB
Instructor: Ziggy Zulueta
Instructor Ziggy Zulueta helps you develop a foundational understanding of the core concepts of AI, generative AI, natural language processing, computer vision, document intelligence, knowledge mining, content safety, and machine learning on Azure. Get a glimpse into the practical applications of each. Develop a familiarity with the specific Microsoft Azure AI and ML services available through demos. Learn valuable concepts on responsible AI and harnessing AI for business. After you complete this course and pass the accompanying exam you'll earn a professional certificate, providing an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.
Learning objectives
- Describe artificial intelligence workloads and considerations.
- Describe fundamental principles of machine learning on Azure.
- Describe features of computer vision workloads on Azure.
- Describe features of natural language processing (NLP) workloads on Azure.
- Describe features of document intelligence, knowledge mining, and content safety workloads on Azure.
- Describe features of generative AI workloads on Azure.
- Describe Microsoft’s six responsible AI principles.
- Describe harnessing AI for business.
Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
