Every industry is hiring
Marketing, healthcare, finance, hospitality, logistics — AI literacy is moving from a specialty into a baseline expectation across Canadian roles.
About the Program
What is the AI Microcredential?
The AI Microcredential is a short-format, applied diploma that turns curious learners into capable AI practitioners. Instead of theory-heavy lectures, the program is built around weekly hands-on projects: prompt engineering, retrieval-augmented generation, agent design, automation pipelines, and responsible deployment.
Students complete the program with a portfolio of real, working AI applications — the kind of evidence Vancouver employers ask for in interviews.
Why It Matters
Why study AI now?
BC tech is accelerating
Vancouver hosts one of Canada's fastest-growing AI clusters, with active hiring at startups, studios, and enterprise teams looking for applied skills.
The skill gap is real
Most workers can use AI tools casually. Few can design, evaluate, and ship them — that's the gap this program closes.
Pathways
Where graduates go
The microcredential opens doors into entry- and mid-level applied AI roles, freelance work, and further study.
Direct to Industry
- AI Workflow Specialist
- Prompt Engineer
- Automation Analyst
- AI Content Strategist
- Junior ML Operations
Freelance & Founder
- Build internal AI tools for SMBs
- Launch a productized service
- Consult on AI adoption
- Ship indie SaaS products
Further Study
- Bridge into BC tech bachelor's
- Stack with data analytics
- Combine with business diploma
- Specialize in ML engineering
Earning Potential
What graduates earn in Canada
Salary ranges reflect typical Canadian market rates as of 2026. Actual earnings depend on role, location, and experience.
Entry Level
$52K – $68K
First role within 12 months of graduation. AI assistant, prompt operations, content automation.
Mid Career
$75K – $105K
Two to four years in. AI workflow lead, automation engineer, applied AI specialist.
Senior & Specialist
$110K – $160K+
Five+ years, often combined with further study. AI product lead, ML ops, founding engineer.
Curriculum
What you'll study
Module 1 · Foundations of Modern AI
- How large language models actually work
- Generative vs. predictive systems
- Responsible and ethical AI use
- The Canadian AI regulatory landscape
Module 2 · Prompt Engineering
- Structured prompting and chain-of-thought
- Few-shot and role-based prompting
- Evaluation and iteration loops
- Prompt libraries and reusable patterns
Module 3 · Building with AI APIs
- OpenAI, Anthropic, and open models
- Function and tool calling
- Retrieval-augmented generation (RAG)
- Working with vector databases
Module 4 · Automation & Agents
- No-code automation platforms
- Agent design patterns
- Workflow orchestration
- Cost and latency tradeoffs
Module 5 · Applied AI in Business
- Identifying real AI use cases
- Stakeholder communication
- Measuring ROI and quality
- Change management basics
Capstone · Portfolio Project
- Ship a working AI application
- Documentation and demo video
- Industry mentor review
- Showcase to Vancouver employers
Admissions
Ready to apply?
Speak with an advisor or submit your application today.