4-Wk Workshop Series: Go from zero AI coding skills to building apps, automations, and starting a business (May Cohort)
- Date
- 2026-05-05
- Host
- Augmented Designer
About this event
You do not need a computer science background to start building with AI. This 4-week in-person workshop series is designed to take you from zero AI coding skills to a point where you can build useful apps, create automations that save real time, and start thinking seriously about turning those skills into a business. If you have been watching AI move fast and wondering how to get hands-on without feeling overwhelmed, this is a practical place to start. The focus is not on abstract theory or hype. It is on learning by building, asking questions in real time, and leaving each week with clearer skills and momentum. What Is This? This is a structured, in-person May cohort for people who want to learn how AI coding can be used in the real world. Over four weeks, you will move through the fundamentals and into applied projects that help you understand how to turn AI tools into products, workflows, and opportunities. The series is built around progression. Rather than attending a one-off talk and leaving inspired but unsure what to do next, you will develop your understanding across multiple sessions. Each week builds on the last, giving you time to absorb concepts, practice, and come back with better questions. At its core, the workshop is about capability. You are not just learning what AI can do. You are learning how to direct it, work with it, and apply it in ways that produce something concrete, whether that is an app, an automation, or the early shape of a business idea. Because it is in person, you also get the benefits that are hard to replicate online: live troubleshooting, more focused work time, direct conversation, and the energy of learning alongside other people who are also building from the ground up. What to Expect Expect a workshop format that is practical and cumulative. The series is oriented around doing, not passive listening, so you should come ready to follow along, experiment, and test ideas in the room. Across the four weeks, the experience is likely to include: guided instruction to help you understand core AI coding concepts without unnecessary jargon hands-on building exercises focused on apps and automations live problem-solving when things break or outputs are not what you expected discussion around how these tools can be used to create services, products, or business opportunities a cohort environment where you can learn from other attendees' questions, workflows, and ideas You can also expect the learning arc to move from beginner-friendly foundations into more applied use. That matters because the hardest part for many people is not opening a tool for the first time. It is knowing how to go from simple experiments to something useful and repeatable. This series is especially valuable if you learn best by seeing a concept, trying it immediately, and getting feedback while it is still fresh. The in-person format supports that kind of progress far better than trying to piece things together alone from scattered videos and posts. Why Attend The biggest reason to attend is speed. Instead of spending months bouncing between tutorials, tools, and conflicting advice, you can work through a structured path that helps you build practical confidence with AI coding in a much shorter time. You will leave with more than awareness. You should come away with a stronger sense of how to build useful things, where automation can create leverage, and what it actually takes to move from curiosity into execution. For some attendees, the value will be professional. You may want to add AI skills to your current role, become more technically independent, or stop relying on others to prototype your ideas. For others, the value will be entrepreneurial. You may be exploring how to package AI-enabled solutions into a service, product, or new business direction. There is also value in the room itself. Learning alongside a community of people interested in AI, coding, autonomy, tech, and building can sharpen your thinking and help you stay accountable through the month. A cohort creates momentum that is hard to generate on your own. Practical Details This is an in-person workshop series, which means you should plan to attend on site and participate live. The event begins Tuesday, May 5 at 7:45 PM GMT+10 as part of the May cohort. Because this is a multi-week format, it is best suited to people who want continuity rather than a single introductory session. If you are considering attending, think of it as a short, focused learning sprint where showing up consistently will make a real difference to what you get out of it. A few practical reasons this format works well: you can ask questions the moment you get stuck you can build in real time rather than postponing practice until later you can track your progress across several weeks instead of trying to absorb everything in one sitting you can meet peers who are also serious about learning and applying AI If you are ready to stop consuming AI content passively and start building with purpose, this series offers a clear next step. It is for people who want real skills, real practice, and a realistic path from beginner to builder.
Who should attend
This series is for people who are ready to move from interest to action and want a practical path into AI coding. - You are a complete beginner who keeps hearing about AI tools and wants a structured, human-guided way to start building instead of learning alone. - You have ideas for apps, automations, or workflows but do not yet have the coding confidence to turn those ideas into something usable. - You are a founder, freelancer, operator, or side-hustler exploring how AI could help you launch services, streamline work, or create a business opportunity. - You work in a non-technical or semi-technical role and want more autonomy so you can prototype, test, and solve problems without waiting on a full development team. - You learn best in person, with live feedback, hands-on practice, and the accountability of returning each week to build on what you started. - You want more than inspiration. You want practical skills, a clearer understanding of what AI coding actually looks like, and a community of people taking the same leap.