Practical AI for Work & Business
6 weeks
AI fundamentals, prompting, research, productivity, content, data, workflow automation, responsible use and a final practical project.
- Duration
- 6 weeks
- Level
- All levels
- Format
- Live online, delivered in weekly cohort sessions.
- Status
- Planning
Who it's for
- Professionals who want to use AI tools confidently at work
- Small business owners exploring AI for their operations
- Teams introducing AI tools without a technical background
- Anyone who wants practical AI skills, not AI theory
What this course covers
AI fundamentals, prompting, research, productivity, content, data, workflow automation, responsible use and a final practical project.
What you'll be able to do by the end
- Use AI tools confidently for everyday work tasks
- Write prompts that consistently produce useful output
- Use AI for research and content without losing rigour or voice
- Automate simple, real workflows
- Handle data and AI output responsibly
- Apply everything to one real task from your own work
Syllabus
Week 1: AI fundamentals
- What today's AI tools can and can't do
- Core concepts explained without jargon
- Choosing the right tool for a task
- Setting realistic expectations for AI at work
Week 2: Prompting
- Writing prompts that get useful, reliable output
- Iterating on a prompt instead of accepting the first answer
- Common prompting mistakes and how to fix them
- Building a personal library of reusable prompts
Week 3: Research and content
- Using AI to research faster without losing rigour
- Checking AI output for accuracy before you rely on it
- Drafting content with AI as a starting point, not a finish line
- Keeping your own voice in AI-assisted writing
Week 4: Productivity and workflow automation
- Everyday tasks worth automating with AI
- Connecting AI tools into your existing workflow
- Simple automations that save real time
- Knowing when automation isn't worth the setup
Week 5: Data and responsible use
- Working with data safely using AI tools
- Privacy, confidentiality and what not to share with AI
- Recognising bias and unreliable output
- Using AI responsibly at work, not just effectively
Week 6: Final practical project
- Applying the course to one real task from your own work
- Peer and instructor feedback
- Building a plan to keep using AI well after the course
- Wrap-up and open questions
How the course works
- Live online, delivered in weekly cohort sessions.
- A 2-hour live session each week.
- 1 to 2 hours of self-study between sessions.
- Ongoing support between sessions, plus feedback on practical work.
Practical work
Across the course you'll produce real, usable work, not just notes. You'll leave with:
- A personal prompt library built over the course
- A short workflow automation you design and test
- A final practical project applied to your own work
What's included
- A personal prompt library you build during the course
- Templates and worksheets for every module
- Recordings of every live session
- Slides from each session
- Feedback on practical work
- Certificate of completion
Prerequisites
No technical background needed. This course is built for everyday professional use, not for developers or data specialists.
Who delivers it
Collins Obasuyi, Founder & Principal Consultant
Collins works across product strategy, AI, delivery, quality and education, and teaches from real product and delivery work rather than abstract theory. Sessions are built around practical judgement: making decisions, working through trade-offs and applying methods that hold up outside the classroom.
FAQ
Do I need to already use AI tools at work?
No. The course starts from the fundamentals and builds up, so no prior AI experience is assumed.
Is this course for individuals or teams?
Both. Individuals build personal AI fluency, and teams often take it together to build a shared way of working with AI.
Are sessions recorded?
Yes. Every live session is recorded and shared with participants who can't attend live.
Can my employer pay for this course?
Yes. We're happy to provide an invoice for employer-funded enrolment.
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