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Microsoft Azure AI Fundamentals Certification | Exam AI-900

just 1 day, achieve your Microsoft Azure AI Fundamentals Certification online including your exam


Firebrand Training Limited

Summary

Price
£358.80 inc VAT
Study method
Online + live classes
Duration
1 day · Full-time
Certification
Microsoft Certified Azure Fundamentals
Professional certification What's this?
Additional info
  • Tutor is available to students

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Overview

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.

Certification

Microsoft Certified Azure Fundamentals

Awarded by Microsoft

Description

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

Choosing to get certified with Firebrand Sprint means you’ll get access to measure-ups, labs, and be given an exam voucher to sit Exam AI-900 and achieve your certification. As Firebrand are a Microsoft Gold Partner for Learning, you’ll also get access to the Microsoft Official Curriculum (MOCs) and learn from Microsoft Certified Trainers (MCTs).

Curriculum

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

Who is this course for?

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

Requirements

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.

Career path

Exam included: AI-900

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%)

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