Generative AI Accelerator

Increase efficiency, improve productivity and gain ROI.

The Generative AI Accelerator is a five week online course from the Academy of Digital Industries designed to plug AI skills into your expertise. Across evening workshops, participants master advanced prompting, multi‑prompt pipelines, vision‑language tools, image generation, data strategy, governance, and ROI frameworks.

Guided by one of our Mentors, Dan Porder or Uvin Withana, and supported by Community Managers, learners graduate with two portfolio ready final projects chosen from Prompt Library, Multi Stage Automator, Image Generation Brand Book, and an AI Strategy Proposal, and an Academy digital Completion Certificate.

Who is this course for?

Build on your expertise and add practical AI skills. Learn to plug AI into your day-to-day workflows and standards.

Who should join this course?

• Professionals across marketing, design, communications, product and operations

• Entrepreneurs and small business owners

• Enablement teams and cross functional cohorts standardising AI across the business

No prior AI background required

We understand that formal certifications like B2 can be long and expensive, and many of our learners may not have them. However, we do expect learners to have conversational English and to be working in a professional environment where English is used regularly.

Learning outcomes and objectives

By the end of the course, you will be able to:

• Identify and prioritise high value AI opportunities in your role or team using a simple scoring model

• Design and run prompt systems that turn a brief into a repeatable workflow with guardrails

• Teach students how to iterate on prompts through versions

• Create a brand image generation guide that produces consistent, on-brand imagery across channels

• Produce an AI strategy proposal that frames the business case, risks, governance and an adoption plan for leadership

• Apply evaluation checks, bias awareness and data protection basics to any workflow, and complete a light risk checklist

• Communicate ROI with simple KPIs such as hours saved, quality lift, cost avoided, improved revenue and profit

Background: Why it matters now

AI has moved from novelty to necessity. Organisations need practical, safe, and measurable ways to deploy AI:

• Governance and risk (policy, standards, bias, data security, explainability) sit alongside innovation as board level concerns

• 'Do more with less' budgets force in-house capability building and tighter ROI proof

• Productivity and speed are top priorities across teams - but ad-hoc prompting rarely scales

It's important to understand the wider market data, too:

• Adoption (UK): 18% of UK businesses reported using at least one AI or generative AI tool in late March 2025; Among large firms (250+ employees) adoption was 31%. 77% said they were not planning to adopt AI in the next three months [S1]

• Enterprise value at stake: Generative AI could add roughly $2.6 to $4.4 trillion in annual value across functions globally, with major impact in sales, marketing, customer operations and software engineering [S5]

• Skills gap (UK): 16% of firms cited the level of AI expertise and skills as a barrier to AI adoption in 2023, according to ONS's Management and Expectations Survey [S2]

• Wage premium for AI skills: Jobs requiring AI skills carry up to a 25% wage premium in some markets (2024), rising to an average 56% in 2025 [S14]

• Training gap: Only around 1/3 of employees receive proper employer provided AI training; Microsoft's 2024 Work Trend Index found 39% of users had received training [S15]