Microsoft Azure AI Fundamentals
This program introduces participants to AI fundamentals and Microsoft Azure services. Designed for beginners, the course focuses on how AI solutions can solve real-world problems. Participants will explore machine learning, computer vision, NLP, and other AI concepts, gaining foundational knowledge to implement AI workloads on Azure.
This course is ideal for:
- Beginners interested in AI applications
- IT Professionals exploring Azure AI services
- Developers and Analysts seeking foundational AI knowledge
- Business Professionals planning AI initiatives
- AI Workloads: Explore common AI applications and workloads.
- Azure AI Services: Learn to use Azure tools for ML, computer vision, and NLP.
- AI Implementation: Create and deploy AI models using Azure tools.
By the end of this course, participants will:
- Understand AI concepts, workloads, and ethical considerations.
- Implement machine learning, vision, and NLP workloads on Azure.
- Explore hands-on AI solutions using Azure Cognitive Services.
Module 1: Getting Started with AI on Azure
- Introduction to AI capabilities and responsible AI practices
- Overview of Azure AI services
Module 2: Using Automated Machine Learning
- Introduction to Azure Machine Learning
- Training and deploying regression, classification, and clustering models
Module 3: Exploring Cognitive Services
- Computer Vision: Image analysis and object detection
- Natural Language Processing: Sentiment analysis and language detection
- Conversational AI: Creating chatbots with Azure Bot Service
Module 4: Advanced Applications
- Speech recognition and synthesis
- Translating text and speech
- Analyzing receipts and documents with Form Recognizer
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Participants can pursue the Microsoft Azure AI Fundamentals certification to validate foundational AI knowledge.
- Exam Code: AI-900
- Certification Outcome: Validates understanding of AI concepts and Azure services.
- Basic familiarity with computers and the internet
- Interest in AI applications and Azure tools
- Willingness to learn through hands-on activities
Duration:
1 Day (9:00 AM to 5:00 PM)
Delivery Method:
Interactive training with live demonstrations, hands-on exercises, case studies, and group discussions
