Microsoft Azure AI Fundamentals (AI-900)
About This Course
Mastering the basics in AI can help you jump-start your career with Microsoft Azure AI Fundamentals (AI-900) course. Get ready to dive deeper into the other technical opportunities Azure offers. Artificial intelligence (AI) opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.
This course completely covers the AI-900 exam from start to finish. The Azure AI Fundamental AI-900 exam covers the following topics:
Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (30-35%)
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 conversational AI workloads on Azure (15-20%)
This course goes over each requirement of the exam in detail and prepare you for the AI-900 exam.
What You'll Learn
- Implement AI applications with Microsoft Azure services
- Deploy AI workflows on Azure
- Identify and report any issues with AI anomaly detector.
- Maintain data interoperability and perform data cleaning with Azure knowledge mining.
Course Outline:
Topic 1 Get started with AI and AutoML on Azure
• Introduction to AI
• Understand machine learning
• Challenges and risks with AI
• Understand Responsible AI
• Understand computer vision
• Understand natural language processing
• Understand anomaly detection
• Understand knowledge mining
• What is Azure Machine Learning studio?
• What is Azure Automated Machine Learning?
• Understand the AutoML process
• Use Automated Machine Learning in Azure Machine Learning
Topic 2 Computer Vision and Natural Language Processing
• Analyse Images with Computer Vision Service
• Classify Images with Computer Vision Service
• Detect Objects with Computer Vision Service
• Detect and Analyse Faces with Face Service
• Read Text with Optical Character Recognition API
• Get Started with Text Analytics on Azure
• Recognise and synthesise Speech
• Translate Text and Speech
• Create a Language Model with Language Understanding
• Build a bot with the Language Service and Azure Bot Service
Topic 3 Anomaly Detection
• How anomaly detector works
• When to use anomaly detector
• Implement anomaly detector on Azure
Topic 4 Knowledge Mining and Cognitive Search
• What is Azure Cognitive Search?
• Use a skillset to define an enrichment pipeline
• Understand indexes
• Use an indexer to build an index
• Persist enriched data in a knowledge store
• Create an index in the Azure portal
• Query data in an Azure Cognitive Search index
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old