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
- 0Learning tracks
- Skills covered
- 0Skills covered
- Audiences served
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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.
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
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.
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.
Who it's for
AI For Everyone
The same tracks, framed for where you are starting from.
How a track completes
From first session to certificate
LEARN
Structured sessions covering the concepts and the vocabulary.
PRACTICE
Hands-on exercises with the actual tools, not slides about them.
APPLY
Use the skill on realistic work from your own domain.
ASSESS
Check understanding against the track's stated skills.
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.
