This self-paced Microsoft Azure AI Fundamentals (AI-900) course with 180-day access prepares you for the Microsoft Exam AI-900 while helping demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al.
The goal of this course is to provide you with all the tools you need to prepare for the AI-900 Microsoft Azure AI Fundamentals exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.
Course components:
180-day access to:
Duration: Approximately 16 hours of primary content. Every learner will progress at their own pace.
Audience: Designed for business stakeholders, new and existing IT professionals, consultants, and students, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level.
Prerequisites:
Course objectives
Upon successful completion of this course, students should be able to:
Required course materials: Self-paced Microsoft Azure AI Fundamentals (AI-900) courseware with 180-day access.
The goal of this course is to provide you with all the tools you need to prepare for the AI-900 Microsoft Azure AI Fundamentals exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.
Course components:
180-day access to:
- Lessons
- Video learning
- MeasureUp Practice Test for Microsoft AI-900. Practice Mode with remediation and Certification mode to simulate the test day experience.
Duration: Approximately 16 hours of primary content. Every learner will progress at their own pace.
Audience: Designed for business stakeholders, new and existing IT professionals, consultants, and students, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level.
Prerequisites:
- The students should have some basic knowledge of operating systems and computer networks.
- The students should be familiar with the usage of the Internet and web browsers.
Course objectives
Upon successful completion of this course, students should be able to:
- Describe AI workloads and considerations.
- Describe fundamental principles of machine learning on Azure.
- Describe features of computer vision workloads on Azure.
- Describe features of Natural Language Processing (NLP) workloads on Azure.
- Describe features of conversational AI workloads on Azure.
Required course materials: Self-paced Microsoft Azure AI Fundamentals (AI-900) courseware with 180-day access.
This self-paced Microsoft Azure AI Fundamentals (AI-900) course with 180-day access prepares you for the Microsoft Exam AI-900 while helping demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al.
The goal of this course is to provide you with all the tools you need to prepare for the AI-900 Microsoft Azure AI Fundamentals exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.
Course components:
180-day access to:
Duration: Approximately 16 hours of primary content. Every learner will progress at their own pace.
Audience: Designed for business stakeholders, new and existing IT professionals, consultants, and students, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level.
Prerequisites:
Course objectives
Upon successful completion of this course, students should be able to:
Required course materials: Self-paced Microsoft Azure AI Fundamentals (AI-900) courseware with 180-day access.
The goal of this course is to provide you with all the tools you need to prepare for the AI-900 Microsoft Azure AI Fundamentals exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.
Course components:
180-day access to:
- Lessons
- Video learning
- MeasureUp Practice Test for Microsoft AI-900. Practice Mode with remediation and Certification mode to simulate the test day experience.
Duration: Approximately 16 hours of primary content. Every learner will progress at their own pace.
Audience: Designed for business stakeholders, new and existing IT professionals, consultants, and students, this course focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level.
Prerequisites:
- The students should have some basic knowledge of operating systems and computer networks.
- The students should be familiar with the usage of the Internet and web browsers.
Course objectives
Upon successful completion of this course, students should be able to:
- Describe AI workloads and considerations.
- Describe fundamental principles of machine learning on Azure.
- Describe features of computer vision workloads on Azure.
- Describe features of Natural Language Processing (NLP) workloads on Azure.
- Describe features of conversational AI workloads on Azure.
Required course materials: Self-paced Microsoft Azure AI Fundamentals (AI-900) courseware with 180-day access.
