Microsoft Azure AI Fundamentals (AI-900) Crash Course
Published by O'Reilly Media, Inc.
Prepare for and pass the AI-900: Microsoft Azure AI Fundamentals exam
- Understand artificial intelligence workloads and considerations
- Learn fundamental principles of machine learning on Azure
- Explore features of computer vision and natural language processing workloads on Azure
The AI-900 is a certification exam that measures the foundational knowledge and understanding of artificial intelligence concepts and principles. It’s designed for professionals who are new to AI and want to gain a fundamental understanding of the field. The exam covers a range of topics, including the basics of AI, machine learning, computer vision, natural language processing, and conversational AI.
Join Azure expert and Microsoft Certified Trainer Reza Salehi to cover all the essential skills measured by the AI-900 exam and get the necessary preparation to successfully sit for the exam and earn your certification.
What you’ll learn and how you can apply it
- Learn how to prepare for and pass the AI-900: Microsoft Azure AI Fundamentals exam
- Be able to identify and describe artificial intelligence workloads and considerations
- Learn fundamental principles of machine learning on Azure and how they apply in the real world
- Explore features of computer vision and natural language processing workloads on Azure
This live event is for you because...
- You’re a software developer, architect, administrator, or manager planning to use Azure AI services in your solutions.
- You are preparing for exam AI-900
Prerequisites
- A fundamental understanding of cloud computing and Microsoft Azure
Recommended preparation:
- Review course resources ([GitHub repo]
- Explore Microsoft Azure Fundamentals (AZ-900) Certification (on-demand course)
Recommended follow-up:
- Take AI-900: Microsoft Azure AI Fundamentals (Pearson practice test)
- Read Exam Ref AI-900 Microsoft Azure AI Fundamentals (book)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Describe Artificial Intelligence workloads and considerations (30 minutes)
- Introduction on Exam AI-100: Designing and Implementing an Azure AI Solution
- Presentation: Identify features of common AI workloads
- Discussion/Q&A
- Presentation: Identify guiding principles for responsible AI
- Discussion/Q&A
- 10 minute break
Describe fundamental principles of machine learning on Azure (30 minutes)
- Presentation: Identify common machine learning types
- Discussion/Q&A
- Presentation: Describe core machine learning concepts
- Discussion/Q&A
- Presentation: Describe capabilities of visual tools in Azure Machine Learning Studio
- Discussion/Q&A
- 10 minute break
Describe features of computer vision workloads on Azure (90 minutes)
- Presentation: Identify common types of computer vision solution
- Demo & hands-on: Identify common types of computer vision solution
- Discussion/Q&A
- Presentation: Identify Azure tools and services for computer vision tasks
- Demo & hands-on: Identify Azure tools and services for computer vision tasks
- Discussion/Q&A
- 10 minute break
Describe features of Natural Language Processing (NLP) workloads on Azure (90 minutes)
- Presentation: Identify features of common NLP Workload Scenarios
- Demo & hands-on: Identify features of common NLP Workload Scenarios
- Discussion/Q&A
- Presentation: Identify Azure tools and services for NLP workloads
- Demo & hands-on: Identify Azure tools and services for NLP workloads
- Discussion/Q&A
- Presentation: Identify considerations for conversational AI solutions on Azure
- Demo & hands-on: Identify considerations for conversational AI solutions on Azure
- Discussion/Q&A
- 10 minute break
Describe features of generative AI workloads on Azure (40 minutes)
- Identify features of generative AI solutions
- Demo & hands-on: Identify features of generative AI solutions
- Discussion/Q&A
- Presentation: Identify capabilities of Azure OpenAI Service
- Demo & hands-on: Identify capabilities of Azure OpenAI Service
- Discussion/Q&A
- About registering for the exam, and questions
- Wrapping up
Your Instructor
Reza Salehi
Reza Salehi is a consultant, trainer, author and industry expert with over two decades of experience in the professional IT field. Reza has trained thousands of students through various instructional formats, including live sessions, on-demand courses, and in-person training. He is the author of O'Reilly's Azure Cookbook and a 15-year Microsoft Certified Trainer. Reza helps his clients to adopt Microsoft Azure in their solutions to meet the functional, cost, security, and compliance requirements.