Learn the fundamental concepts of artificial intelligence and machine learning through Microsoft's comprehensive bootcamp covering AI workloads and key considerations for implementation. Explore the core principles of machine learning on the Azure platform, including data preparation, model training, and deployment strategies. Discover computer vision capabilities available on Azure, understanding how to process and analyze visual data for various applications. Master Natural Language Processing (NLP) features within the Azure ecosystem, learning to build solutions that can understand, interpret, and generate human language. Dive into generative AI workloads on Azure, exploring how to create content, generate text, and build innovative AI-powered applications using Microsoft's cloud platform and AI services.
Overview
Syllabus
- Describe Artificial Intelligence workloads and considerations (15–20%)
- Describe fundamental principles of machine learning on Azure (20–25%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
- Describe features of generative AI workloads on Azure (15–20%)
Taught by
Jordana Izquierdo