Microsoft Azure AI Fundamentals Certification | Exam AI-900

Please note: the deadline to sign up for this course is Wednesday 10th December 3PM(GMT).

On this accelerated Microsoft Certified: Azure AI Fundamentals course, you’ll learn the fundamentals of artificial intelligence (AI) and how Microsoft Azure services can be used to design and establish AI solutions.

In just 1 day, you’ll build knowledge on:

• The capabilities of no-code machine learning with Azure Machine Learning
• Azure tools and services for NLP workloads
• The features of common NLP Workload Scenarios

You’ll get access to Microsoft Official Curriculum (MOCs) and learn from certified instructors (MCTs) as Firebrand is a Microsoft Gold Partner for Learning.

Through Firebrand’s Lecture | Lab | Review methodology in-hand with our Online Instructor-Led (OIL) Training, you’ll achieve your Microsoft certification at twice the speed from the comfort of your own home, and without the loss of an all-inclusive classroom environment.

• Module 1: Introduction to AI
• Module 2: Machine Learning
• Module 3: Computer Vision
• Module 4: Natural Language Processing
• Module 5: Conversational AI

If you’re interested in AI solutions and how Microsoft Azure services can be used to create them, this course is ideal for you.

Before attending this accelerated course, you should have:

• Foundational knowledge of Machine Learning (ML)
• Knowledge in Artificial Intelligence (AI) concepts
• Knowledge of Microsoft Azure services

It would also be useful - but not necessary - to have general programming knowledge or experience.

As part of your accelerated course, you’ll sit the following exam covered by your Certification Guarantee:

Exam AI-900: Microsoft Azure AI Fundamentals - (currently in beta)

• Exam code: AI-900
• Languages: English
• Domains:
1. Describe Artificial Intelligence workloads and considerations (15-20%)
2. Describe fundamental principles of machine learning on Azure (30- 35%)
3. Describe features of computer vision workloads on Azure (15-20%)
4. Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
5. Describe features of conversational AI workloads on Azure (15-20%)