Move from using AI chat tools to building task-focused agents and automations
AI Agents and Workflow Automation
Build useful AI agents, knowledge workflows, and workplace automations with APIs and modern AI tools.
The real outcome
What you'll actually be able to do.
A mentor-led 8 weeks program designed around practical labs, guided assignments, portfolio work, and clear progress reviews. Learn the workflow employers and modern teams use, then apply it in projects you can confidently explain.
Design task-focused AI agents
Create reliable prompt workflows
Connect tools through APIs
Build responsible workplace automations
Course benefits
Why this learning path matters.
Each benefit is connected to practice, projects, and work you can demonstrate.
Practise prompts, APIs, RAG, evaluation, guardrails, and workflow orchestration together
Build reusable automations for operations, support, sales, and knowledge work
Graduate with demonstrable GitHub and workflow projects instead of prompt screenshots
Your learning roadmap
From “new to this” to “I built this.”
32 live lessons across 4 focused modules.
Module 01AI foundations
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Module 02Prompting and tools
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Module 03Agent workflows
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Module 04Build and present
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AI project studio
Five projects. Built for your portfolio.
Progress from focused practice to one complete, presentation-ready capstone.
HR knowledge assistant with RAG, citations, and safe escalation
Sales lead qualification agent with scoring and CRM routing
Document intelligence workflow for extraction and summarization
Customer-support triage system with human-in-the-loop controls
AI operations capstone with evaluation, guardrails, and monitoring
Your stack
Tools you'll get comfortable with.
Job opportunities
Where these skills can take you.
These are realistic roles to explore as your portfolio and experience grow.
Hiring readiness
How this curriculum helps you compete in 2026.
Hiring teams look for evidence that you can apply skills, explain decisions, and work through realistic constraints.
Three working agent and automation projects demonstrate applied capability
API, RAG, evaluation, and responsible-AI practice match modern project discussions
GitHub documentation provides technical evidence for screening and interviews
Project presentations prepare learners to explain reliability, limits, and business value
Job titles and hiring requirements vary by company and location. Completing a course strengthens skills and portfolio evidence; it does not guarantee employment.
Is this your track?
This course fits if you are…
- ✓Students exploring AI
- ✓Working professionals
- ✓Operations and growth teams
Good to know
Before you start.
- ✓Basic computer knowledge
- ✓Laptop with internet
- ✓Interest in automation
Certificate of achievement
This certifies that
Talk to an advisor