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Vibe Coding 1 Day Accelerator
Ship production ready code with AI.
Why Join This Course
-
Lock in disciplined AI workflows for tests, reviews and debugging -
Build governance, risk and accountability into every AI-assisted build -
Learn agents and MCP so you stay the architect, not the assistant -
Train with practising AI engineers Dan Porder and Uvin Withana. -
Join a global alumni network of 30,000, not just a one-off cohort. -
Train with a platform backed by Tether©.
- $120 Early Bird Price
- Designed For Coding Pros
- 1 Day, 100% Live Online
Practical Information
Next Start Date
16th February 2026
Time
XXXXXXXX
Course Type
Live Online
Course Fee
$120
- Learning OutcomesBy the end of the programme, you will be able to:
- Identify and prioritise high-value AI opportunities in your role
- 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
- Identify, assess and mitigate risks related to intellectual property, data security and compliance in AI-assisted development
- Use AI tools to analyse, modernise and document legacy codebases efficiently
- What You'll LearnAcross 4 parts you’ll cover:
- Foundations & prompting for AI-assisted coding – how to collaborate with AI tools, engineer prompts and manage context effectively.
- AI-assisted development, testing & review – using AI for pair programming, reviews, TDD, test generation and debugging while keeping quality high.
- Agents, MCP & the new engineering workplace – understanding agents, how MCP changes your role, and how to work with non-technical stakeholders who now “code” with AI.
- Risk, strategy & your career – responsibility for AI-generated code, governance patterns, and how to become the automator, not the automated.
- A detailed technical plan and prototype for a feature in your own or a sample codebase.
- An AI-generated test suite and debugging notes for an existing piece of code.
- A legacy code documentation and refactor plan, using AI to map and modernise an unfamiliar module.
- A risk and accountability checklist you can use in code reviews and career conversations.
| About Our Mentor Dan Porder - Mentor, Business Founder & Educator Dan is an AI engineer, business owner and educator. He is the co-founder of Valae, an AI engineering studio building generative AI systems for consumer brands. Formerly at the IKEA AI Lab, Dan has supervised Master’s students and spoken at international conferences. |
| About Our Mentor Uvin Withana - Mentor, AI Engineer & Educator Uvin is an Engineer and Team Lead from Berlin, where he works on real-world applications of Generative AI inside a fast-moving health-tech environment. Day to day, he designs and ships AI-powered workflows that help teams move from ideas to reliable, repeatable systems. |
What Our Students Say
- 93%Of learners said our course
met their goals - 94%Praised the support and expertise of our mentors
- 93%Found the environment supportive and inspiring
Course Requirements
Get prepped for success!
- A laptop with modern browser and reliable internet
- Coding experience is essentialYou already code in your day job and are comfortable with Git and an Integrated development environment. You should also have basic unit testing familiarity and the ability to run projects locally.
- Commitment to complete applied assignments between sessionsAlthough the Academy has Community Managers to support students where necessary expects learners to complete all assignments to ensure they graduate with a certificate.
- Speak English in a professional settingWe expect all learners to have conversational English and to be working in a professional environment where English is used regularly.
Ready To Get Started?
Book your spot today and launch your next career move in just 5 weeks!
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Complete the form to speak with our Sales Advisors about the course.
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