Skip to content
CYVERRA VERIDIONCYVERRAVeridion
Intermediate · One-time purchase

AI for Business

Apply AI in business: fundamentals, generative AI, use cases, automation, productivity, customer service, marketing, analytics and governance.

IntermediateMedium
30 hours 0 lessons Certificate on completion EN

Level & requirements

IntermediateMedium

Strengthen your skills and work more independently.

Required experience
Some hands-on experience or completion of the beginner and junior courses.
Prerequisites
None — you can start today.
Career roles this supports
AI Specialist

Recommended next step — Professional level

AI for IT Professionals →

AI for Business is a professional, project-driven course designed for career-focused learners. Across 36 lessons in 9 modules you build hands-on skills, complete practical exercises, and finish a real project that is assessed against professional standards.

What you will learn

  • Identify real AI business opportunities
  • Apply generative AI in workflows
  • Automate and improve productivity
  • Govern AI responsibly

Curriculum

AI Fundamentals

What AI can do · AI capabilities · Limits and risks · Business framing

  • Lessons are being published.

Generative AI

How generative AI works · Text, image and voice · Prompting · Evaluation

  • Lessons are being published.

Business Use Cases

Where AI adds value · Across functions · Prioritising · Feasibility

  • Lessons are being published.

Automation

Automating work · Workflow integration · AI + automation · Measuring impact

  • Lessons are being published.

Productivity

AI for productivity · Assistants · Knowledge work · Time savings

  • Lessons are being published.

Customer Service

AI in support · Chatbots and assistants · Quality · Human oversight

  • Lessons are being published.

Marketing

AI in marketing · Content and campaigns · Personalisation · Measurement

  • Lessons are being published.

Analytics

AI for insight · Prediction · Recommendation · Governance

  • Lessons are being published.

AI Governance

Responsible AI · Data and privacy · Bias and accuracy · Policies and oversight

  • Lessons are being published.

Requirements

  • No prior experience required
  • A computer with internet access
  • Commitment to the practical project