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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Introduction to Artificial Intelligence concepts and common AI workloads
- AI capabilities and use cases in Microsoft Azure
- Understanding machine learning, computer vision, natural language processing, and conversational AI
- Introduction to responsible AI principles
- Key considerations for implementing AI solutions
Machine Learning
- Introduction to fundamental machine learning concepts
- Understanding common machine learning workloads and use cases
- Machine learning processes and model development
- Introduction to Microsoft Azure Machine Learning
- Working with datasets, models, and machine learning solutions in Azure
- Practical exploration of machine learning capabilities
Computer Vision
- Introduction to computer vision concepts and common use cases
- Understanding image classification, object detection, and image analysis
- Optical Character Recognition (OCR) and text extraction
- Computer vision capabilities available in Azure
- Exploring Azure AI Vision services
- Practical exercises using computer vision solutions
Natural Language Processing
- Introduction to Natural Language Processing (NLP)
- Understanding common NLP workloads and use cases
- Text analysis and language understanding
- Sentiment analysis and key phrase extraction
- Entity recognition and language detection
- Speech and language capabilities available in Azure
- Exploring Azure AI Language services through practical exercises
Conversational AI
- Introduction to conversational AI concepts
- Understanding chatbots and virtual agents
- Natural language understanding in conversational applications
- Conversational AI capabilities available in Azure
- Introduction to Azure AI services for building conversational solutions
- Exploring conversational AI through practical exercises
Putting AI Concepts into Practice
- Selecting appropriate Azure AI services for common business scenarios
- Identifying suitable AI workloads based on requirements
- Combining Azure AI capabilities to create AI-powered solutions
- Reviewing practical use cases and solution scenarios
- Recap of key concepts and Azure AI services
- Further learning resources and next steps
Requirements
No prerequisite certification is required for this course. Successful Azure AI Fundamentals learners typically begin with a basic awareness of computing and internet concepts, along with an interest in using Azure AI services.
Specifically:
- Experience using computers and the internet.
- Interest in use cases for AI applications and machine learning models.
- A willingness to learn through hands-on exploration.
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