AI-900T00: Microsoft Azure AI Fundamentals

Course Modules

Learning Path 1: Introduction to AI and Azure Services

• Overview of Artificial Intelligence:

  • Understand the definition and applications of AI across various industries.
  • Learn about different types of AI workloads, such as computer vision, natural language processing, and conversational AI.

• Responsible AI Principles:

  • Familiarize yourself with the guiding principles for responsible AI, including fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.

Learning Path 2: Machine Learning Fundamentals

• Core Machine Learning Concepts:

  • Learn about features and labels, training and validation datasets, and evaluation metrics.

• Azure Machine Learning:

  • Explore Azure Machine Learning capabilities, including automated machine learning, data and compute services, and model management and deployment.

Learning Path 3: Computer Vision on Azure

• Types of Computer Vision Solutions:

  • Understand image classification, object detection, optical character recognition, and facial recognition.

• Azure Computer Vision Services:

  • Learn how to use Azure AI Vision and Azure AI Face detection services for various computer vision tasks.

Learning Path 4: Natural Language Processing (NLP) on Azure

• NLP Workload Scenarios:

  • Explore key phrase extraction, entity recognition, sentiment analysis, language modeling, speech recognition and synthesis, and translation.

• Azure NLP Services:

  • Discover Azure AI Language and Azure AI Speech services for implementing NLP solutions.

Learning Path 5: Generative AI on Azure

• Generative AI Solutions:

  • Identify features of generative AI solutions, including common scenarios and responsible AI considerations.

• Azure OpenAI Service:

  • Understand capabilities of Azure OpenAI Service, including natural language generation, code generation, and image generation.