Microsoft Professional Programmes

Microsoft Azure AI Fundamentals

A beginner-friendly introduction to artificial intelligence on Microsoft Azure, covering AI workloads, machine learning, computer vision, language services and responsible AI.

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Before you apply

Your programme at a glance

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Qualification: Professional certification training
Awarding body / certification: Confirm awarding body with admissions
Duration & study mode: 2 DaysOnline / Physical
Fees: Request current feesCourse fee only. Check payment options below for registration, exam and certificate charges.
Entry requirements: Basic computer literacy; Ability to use a web browser and common desktop applications
All entry requirements
Basic English reading ability for technical terms
A laptop or desktop suitable for course labs
Stable internet connection for online delivery
Headset/microphone for live online sessions where required
No prior professional certification required for beginner-level programmes
For advanced programmes, foundation knowledge in the relevant subject is recommended
Commitment to complete practical activities and assignments
Willingness to follow lab safety, security, acceptable-use and ethical guidelines
Next intake: Confirm next intake with admissions

Programme Overview

What you will study

AI concepts
Machine learning fundamentals
Regression and classification
Clustering concepts
Computer vision
Natural language processing
Generative AI concepts
Azure AI services
Responsible AI principles
AI solution planning

Tools & Platforms

Technologies used

Azure AI Foundry
Azure Machine Learning
Azure AI Services
Azure AI Vision
Azure AI Language
Azure OpenAI overview
Azure Portal
Prompt playgrounds
Microsoft Learn
Sample datasets

Learning Outcomes

Skills you will build

Explain common AI workloads
Recognise ML problem types
Understand vision solutions
Understand language solutions
Describe generative AI concepts
Identify Azure AI services
Apply responsible AI principles
Use basic AI playgrounds
Interpret simple model outputs
Prepare for deeper AI/cloud study

Career Pathways

Where this can lead

AI Support Trainee
Cloud Support Trainee
Junior AI Operations Assistant
Technical Support Assistant
Data/AI Project Assistant
Junior Cloud Engineer
AI Solutions Sales Trainee
IT Support Engineer
Automation Support Trainee
Entry-Level AI Services Technician

Labs & Practicals

Hands-on learning

Use Azure AI playgrounds
Explore machine-learning examples
Test vision services
Test language services
Compare AI workload types
Work with sample datasets
Create simple prompts
Review responsible AI cases
Interpret model/service output
Complete a small AI use-case exercise

Admission Requirements

Before you start

Basic computer literacy
Ability to use a web browser and common desktop applications
Basic English reading ability for technical terms
A laptop or desktop suitable for course labs
Stable internet connection for online delivery
Headset/microphone for live online sessions where required
No prior professional certification required for beginner-level programmes
For advanced programmes, foundation knowledge in the relevant subject is recommended
Commitment to complete practical activities and assignments
Willingness to follow lab safety, security, acceptable-use and ethical guidelines

Next Courses

Recommended pathways

Diploma in Cloud Computing & Security +AI
Microsoft Azure Administrator
Data Fundamentals
Azure AI Engineer pathway
Master of Microsoft Cloud Computing & Security

NextGen Campus Support

Student support

Live lecturer-led instruction and guided demonstrations
Student support for academic and technical questions
Access to structured lesson materials and practice resources
Guidance on lab setup and troubleshooting
Progress support throughout the programme
Recorded-session support where applicable to the intake
Career and certification pathway guidance
Practical assignment and project guidance
Peer-learning and class communication support
NextGen Campus academic coordination and learner assistance

Upcoming Intake

Request intake, fees and registration guidance.

Enroll Now Call +94 7 8100 8100