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AIAI & Generative AI certifications

Build the AI Skills of Tomorrow

From AI fundamentals and prompt engineering to responsible AI and Azure AI, build practical skills for the next generation of work.

Learning tracks
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Skills covered
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Audiences served
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Artificial IntelligenceGenerative AIPrompt EngineeringAI ProductivityResponsible AIBusiness AnalyticsAzure AI

AI learning paths

Explore Our AI Learning Paths

Six tracks, from a first grounding in AI through to structured preparation for a platform exam. Take one, or run them in sequence.

06Intermediate

Microsoft Azure AI Fundamentals

A structured preparation track for the Azure AI Fundamentals exam.

A guided path through the Azure AI Fundamentals syllabus: AI workloads, machine learning concepts, computer vision, natural language processing and generative AI on Azure. SkillVista delivers the training and issues its own certificate of completion. The official credential is awarded by Microsoft and is obtained by sitting their exam separately.

  • AI workloads
  • Machine Learning fundamentals
  • Computer Vision
  • Natural Language Processing
  • Generative AI
  • Azure AI concepts
Talk to us about this track

The progression

Your AI Skill Journey

Seven stages, in the order that actually works. Select any stage to see what it covers and where it leads.

STAGE 01

AI Fundamentals

What you'll learn

What artificial intelligence actually is, how modern systems differ from earlier automation, and where AI genuinely adds value.

Key skills

  • AI concepts
  • Core terminology
  • Identifying use cases

Who it's for

Anyone starting from zero, regardless of technical background.

Suggested next step

Move into Generative AI to understand what changed recently.

View AI & GenAI Fundamentals
AI path finder

Which AI Skill Should You Learn First?

One question. We'll order the tracks for your goal - nothing is sent anywhere.

What is your goal?

Pick whichever is closest.

Outcomes

What You'll Learn

Capabilities you can point to afterwards, not topics you sat through.

Understand AI

Know what the technology is, what it is not, and where it fits.

Work with GenAI

Use generative models with a working grasp of their limits.

Write Better Prompts

Get repeatable output instead of relying on trial and error.

Use AI Productively

Compress research, drafting, documents and meeting work.

Analyze Business Data

Turn AI-assisted analysis into decisions people act on.

Apply Responsible AI

Handle bias, privacy, security and human oversight properly.

Explore Azure AI

Work through the Azure AI Fundamentals syllabus in structure.

How a track completes

From first session to certificate

  1. LEARN

    Structured sessions covering the concepts and the vocabulary.

  2. PRACTICE

    Hands-on exercises with the actual tools, not slides about them.

  3. APPLY

    Use the skill on realistic work from your own domain.

  4. ASSESS

    Check understanding against the track's stated skills.

  5. CERTIFY

    Receive a SkillVista Certificate of Completion for the track.

About the certificate. Completing a track earns a SkillVista Certificate of Completion, which records the track and the skills it covered. SkillVista is not an accreditation body and does not issue vendor credentials. Where a track prepares you for an external exam, that exam and its official credential come from the vendor directly.

The ecosystem

Tools & technologies you'll work with

Only what the six tracks actually cover. Each one is listed with the track that teaches it.

Generative AI

Models that produce text, code and media.

Taught in: AI & GenAI Fundamentals, Microsoft Azure AI Fundamentals

Large Language Models

The systems behind modern AI assistants.

Taught in: AI & GenAI Fundamentals, Prompt Engineering

Prompt Engineering

Structuring input to control output.

Taught in: Prompt Engineering

AI Assistants

Applying assistants to real day-to-day work.

Taught in: AI Productivity Tools

Microsoft Azure AI

Azure AI services, covered as exam preparation.

Taught in: Microsoft Azure AI Fundamentals

AI Analytics

AI-assisted analysis and automated reporting.

Taught in: AI-Powered Business Analytics

Productivity AI

Research, documents, meetings and automation.

Taught in: AI Productivity Tools

Responsible AI

Ethics, privacy, bias, security and oversight.

Taught in: Responsible AI

Get started

Your AI Journey Starts Here.

Build practical AI skills, understand emerging technologies and prepare for an AI-powered future.