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Microsoft Azure AI Fundamentals

Microsoft Azure AI Fundamentals

GH₵3300

GH₵3500

This instructor-led 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.

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Has discount
Expiry period 6 Months
Made in English
Last updated at Tue Oct 2025
Level
Beginner
Total lectures 12
Total quizzes 0
Total duration Hours
Total enrolment 0
Number of reviews 0
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Short description This instructor-led 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.
Outcomes
  • 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.
Requirements
  • Laptop or Desktop
  • Internet
  • 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.