Vibe Coding 1 Day Accelerator
Ship production-ready code with AI. Code safely, quickly, and with proof you can show.
The Vibe Coding 1 Day Accelerator is an intensive 8-hour online workshop from the Academy of Digital Industries designed to plug AI coding assistants into your existing development workflows. Across one full day, you will master structured prompting, AI-assisted testing and code review, agentic workflows, and Model Context Protocol (MCP) fundamentals.
Guided by our mentors, AI engineers Dan Porder and Uvin Withana, and supported by Community Managers, you will graduate with portfolio-ready artefacts including a technical plan and prototype, AI-generated test suites and debugging notes, and a risk and accountability pack.
Who is this course for?
Build on your existing engineering expertise and add practical AI-assisted workflows.
Learn how to plug AI safely into your day-to-day coding, testing, documentation and review standards.
Who should join this course?
Software engineers and full-stack web or app developers shipping to production
Data scientists and ML / AI engineers who maintain real services and pipelines
Tech leads, senior ICs and staff engineers standardising team workflows
DevOps, SRE and platform engineers adding AI into build, test and release processes
QA and automation engineers adopting AI for test generation and debugging
Contractors and freelancers who need portfolio artefacts that prove capability to clients
You already code in your day job; this is not a learn-to-code course, and no prior AI or ML experience is required.
We know that formal language certifications such as B2 can be time-consuming and expensive, and many of our learners do not hold them. We do expect you to be comfortable communicating in English and to be working in a professional environment where English is used regularly.
Learning outcomes and objectives
By the end of the workshop, you will be able to:
Write precise, context-rich prompts that produce reliable, production-quality code
Apply AI-assisted workflows for testing, code review, debugging, refactoring and documentation
Orchestrate agentic development flows and apply Model Context Protocol (MCP) fundamentals in practice
Use AI tools to analyse, modernise and document legacy codebases efficiently
Identify, assess and mitigate risks related to intellectual property, data security and compliance in AI-assisted development
You will also develop the mindset to move from coder to architect, using AI strategically across the software lifecycle rather than treating it as a one-off tool.
Background – why this matters for working developers
The landscape for developers is changing fast. AI coding tools are no longer side projects – they sit inside the editor, shaping how code gets written, reviewed and deployed.
Mainstream adoption
About three in four developers now use or plan to use AI tools in their workflows.
→ If you are not learning to direct these tools, you risk being the person who just checks AI output.
(Stack Overflow Developer Survey 2024: https://survey.stackoverflow.co/2024)
Proven efficiency gains
In controlled experiments, developers using GitHub Copilot completed tasks around 55% faster than those without it.
→ AI can already match or beat you on speed. Your edge has to come from architecture, judgement and governance.
(GitHub blog, 2023: https://github.blog/news-insights/product-news/research-how-github-copilot-helps-developers)
Productivity reshaped
McKinsey and others show that generative AI shifts time away from repetitive coding and towards higher-value work – design, integration, problem-solving.
→ Teams that get this right ship more, with the same headcount.
(McKinsey, 2023: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier)
Shifting roles
Field studies on generative AI show workers finish tasks faster and report higher satisfaction – but the biggest gains go to those who learn how to use AI well.
→ The gap is opening up between paste prompts into a box and run disciplined AI workflows.
(NBER Working Paper No. 31161: https://www.nber.org/papers/w31161)
Employer investment
Analysts forecast AI software and GenAI spend to reach hundreds of billions of dollars within a few years, including tools for software engineering and developer productivity.
→ Your company is going to spend money on AI either way. The question is whether you are the person who knows how to make that investment pay off in code quality, not just speed.
(IDC, 2023: https://www.idc.com/getdoc.jsp?containerId=US51106123)
Governance gap
Most tutorials and courses teach how to use the tools, not how to build accountable, testable and auditable workflows around them. That leaves a gap between this looks clever and I would sign my name to this in a production incident review.
The Vibe Coding 1 Day Accelerator is designed to sit exactly in that gap: it assumes you already code, and focuses on disciplined AI-assisted workflows, agentic patterns and governance that your tech leads can defend.
Reasons to believe
Built for working professionals
Weekend, live-online delivery with feedback loops means you can apply what you learn directly to your current codebase without stepping out of your role.
Mentors who actually ship with AI
Mentorship from Dan Porder (and Uvin Withana) brings experience from places like IKEA AI Lab and Valae, anchoring the syllabus in real, production AI systems – not just toy examples.
Portfolio and workflow focus
You do not just watch demos. You leave with a technical plan, prototype, AI-generated tests and debugging work, and a risk and accountability pack you can use in performance reviews and interviews.
Tool-agnostic, governance-first
Instead of locking you into one editor or subscription, the course teaches patterns you can apply across Copilot, Cursor, Claude Code and future tools – with testing and governance baked in from the start.
Stronger ROI than yet another tutorial
Free intros (Microsoft Learn, YouTube, and so on) and subscription libraries (O’Reilly, DeepLearning.AI on Coursera, and so on) are great for awareness, but they rarely give you accountable workflows or artefacts your organisation will recognise. This accelerator is designed around job-ready outputs and cohort-based practice, not passive content.
School Highlights
Practical focus: every part of the day is anchored in real coding tasks and portfolio artefacts, not just theory
Governance-first design: accountability, testing and risk mitigation are embedded throughout the workshop
Mentor expertise: learn directly from practitioners with global industry experience, including IKEA AI Lab and leading AI studios
Online delivery: live weekend sessions with recordings available so you can revisit material
Community and alumni: ongoing access to a professional network of peers and alumni
B2B credibility: options for custom cohorts, tailored dashboards and ROI check-ins for organisations
Syllabus
- Introduction and expectations for the workshop
- The difference between rigorous AI-assisted coding and casual vibe coding
- Survey of mainstream tools such as GitHub Copilot, Cursor and Claude Code, plus open-source options
- Prompt engineering for coding agents: clear technical prompts, task design, formats and step-by-step reasoning
- Context engineering: how to curate files, documentation and tool outputs so AI sees the right information at the right time
- Navigating legacy codebases with AI, generating missing documentation and planning refactors
Pre-requisites
Course requirements — get prepared for success
To ensure you have a smooth and successful learning experience, we've compiled some information that will help you get prepared before your course begins.
- A laptop with modern browser and reliable internet
- Commitment to complete assignments between sessions
- Ability to run projects locally in your usual development environment
- You already code in your day job and are comfortable with Git and an IDE
- Basic familiarity with unit testing and running your projects locally
- No prior AI or ML experience is required
- Accounts for free or paid AI tools of your choice
- Commitment to attend the full 8-hour workshop and complete hands-on exercises
- Conversational English (B2 level or equivalent). A certificate is not required, but you should be confident working in English in a professional context.
Pre-requisites
Course requirements — get prepared for success
To ensure you have a smooth and successful learning experience, we've compiled some information that will help you get prepared before your course begins.
- A laptop with modern browser and reliable internet
- Commitment to complete assignments between sessions
- Ability to run projects locally in your usual development environment
- You already code in your day job and are comfortable with Git and an IDE
- Basic familiarity with unit testing and running your projects locally
- No prior AI or ML experience is required
- Accounts for free or paid AI tools of your choice
- Commitment to attend the full 8-hour workshop and complete hands-on exercises
- Conversational English (B2 level or equivalent). A certificate is not required, but you should be confident working in English in a professional context.
Testimonials
Hear from our past students!
Learn why learners choose our courses and how studying with us has transformed their careers.
Tom L.
Digital Marketing
The digital marketing course was not only incredibly informative but also genuinely fun and engaging. Natalia created such a warm and welcoming environment - her energy and passion made every session something to look forward to. Big thanks as well to Jamie, whose professionalism and steady support as community manager made the whole experience smooth and well-organised from start to finish. I feel more confident and inspired than ever to take my next steps in digital marketing!
Chillam C.
Digital Marketing
The overall experience was really good in terms of getting me to understand more about the British style of doing digital marketing, because I used to be a marketer in Hong Kong, so I got to compare the practices of both places. One of the perspectives is that our course lecturer, Natalia, shared a lot of online tools and software for marketers to reach their marketing objectives. So I guess this is the most helpful stuff for me to understand the landscape.
Desereen K.
Digital Marketing
I honestly have nothing but good things to say about my experience with ADI. From the smooth onboarding to the support from our amazing Community Manager Jamie! He put his heart into making sure we were comfortable and prepared and as a result, the journey felt well thought out and easy to follow.
Even though evening classes can be intense, this course was 100% worth it. It’s perfect if you’re looking to upskill and properly understand digital marketing, not just the surface stuff. I came in with a general idea, but it wasn’t until I completed the course that I realised how much I’d actually grown.
The lessons gave me the confidence to really show up online. The game changer is having an industry pro like Natalia who has clear evidence and experience of how what she does brings in result and I am a clear example of that - I now understand my audience, I’ve refined my customer journey, and I feel solid in key areas like branding, funnels, content marketing, and web analytics.
Now for the best part. The community. I felt supported every step of the way. My course mates were equally invested in each other’s journey and being in-person made the difference. If you’re considering diving deeper into digital marketing with the right support system behind you, go for it. You won’t regret it.
Sayeed A.
Graphic Design
I had a really good time taking the course, and I learned a lot from Adam. It was collegiate. I think the interactiveness of the course was really, really fun. Being able to bounce ideas off one another and not just learn from Adam, but learn from one another (which) really set a good, solid foundation for graphic design.
Opportunities
Launch your career with our partners
Your success is our priority. Upon mastering the skills in this program, you'll be ready to pursue exciting opportunities with our network of industry-leading partner companies. Explore some of the potential employers who might be impressed by your newfound expertise.
Payment methods
Flexible payment options
No matter how you pay, you’ll unlock the same high-quality education and career preparation. We're committed to providing an accessible and successful learning experience.