In this introductory module, you will explore how AI and no-code platforms are reshaping software creation. You will discover key tools, the vibe coding mindset, and a practical workflow for building applications with natural language, from planning to refinement.

• How AI and no-code are reshaping software creation
• Core principles, strengths and limitations of no-code platforms
• Introduction to key tools: Base44, Bubble, Glide, Lovable and Framer
• The vibe coding mindset: building systems through natural language
• Practical workflow: plan, prompt, review and refine
• Live demo: building a simple application using natural-language instructions

In this module, you will learn how to turn an idea into a well-structured digital product. From defining user needs and target users to planning screens, data and business logic, you will build the solid foundations needed for a functional application.

• Defining user needs, problem statements and core value proposition
• Identifying target users and mapping primary use cases
• Designing system structure: screens, workflows and navigation
• No-code data models: tables, relationships and field types
• Business logic fundamentals: conditions, timers, triggers and statuses
• Systems thinking: dependencies, states and logic flows
• Hands-on workshop: each participant architects their own product

In this module, you will learn how to design simple, clear and effective experiences for early-stage products. You will work on key screens, interface patterns, microcopy and accessibility principles, creating a strong foundation for an intuitive and user-centred MVP.

• UX fundamentals for early-stage products: clarity, simplicity and smooth flow
• Designing key screens using proven UI patterns
• Using UI kits and ready-made components to speed up development
• Microcopy essentials: labels, instructions and error messages
• AI-assisted UX writing and context-aware text generation
• Mobile-first approach and basic accessibility principles
• Practical exercise: design the primary screen of each MVP

In this module, you will learn how to structure access, permissions and visibility rules in systems with multiple user types. You will also explore the essential privacy principles for MVPs, helping you build a safer, more credible product aligned with good practice from day one.

• User types and permission models for multi-user systems
• Role-based and attribute-based access control
• Data visibility and authorisation rules for common user actions
• MVP privacy fundamentals: what must be protected from day one
• High-level overview of global privacy expectations, including GDPR and the US context
• Common real-world permission mistakes and how to avoid them

In this module, you will learn how to design useful automations and strategic integrations that improve product efficiency. You will explore triggers, workflows and connections to external services, creating smoother, smarter processes aligned with the user journey.

• When automation adds real value and when it simply creates noise
• Essential internal flows: onboarding, reminders, status changes and data updates
• Designing triggers and actions that align with the user journey
• Integrations with Google Sheets, Gmail, Slack, CRMs and other digital tools
• Practical understanding of platforms such as Make, Zapier and similar solutions
• Two-way workflows: system ↔ external service
• Troubleshooting loops, conflicts and broken processes
• Using AI to plan, optimise and debug automation flows
• Hands-on activity: implement an automation in your MVP

In this module, you will learn how to integrate AI features that create real value for the product. You will explore practical use cases, in-app assistants, document processing and no-code API basics, ensuring a useful, safe and goal-driven implementation for your MVP.

• When AI genuinely improves the product and when it does not add value
• Common AI features in MVPs: summaries, recommendations and assistants
• Designing flows and commands for in-app AI assistants
• Using AI for document processing, information extraction and calculations
• No-code API fundamentals: requests, structures and responses
• Risk reduction: sensitive data, misuse and safe-by-default settings
• Practical workshop: add a purposeful AI feature to your application

In this module, you will learn how to prepare your product for release with greater confidence and consistency. You will explore deployment environments, functional testing, user validation and version management, ensuring a stronger, more professional launch ready for real-world use.

• Understanding deployment in the context of vibe coding and no-code platforms
• Working with Draft, Staging and Production environments
• Domain configuration and publishing workflows
• QA fundamentals: functionality, visual consistency and usability checks
• How to run user tests: approach, questions and data collection
• Identifying issues and polishing the product before release

In this final module, you will consolidate all the knowledge gained by presenting your MVP. Demonstrate the key features, product value and system logic while outlining the next steps for market validation, improvement and future product development.

• Presentation of the MVP (Minimum Viable Product) developed during the course
• Demonstration of key features and user benefits
• Explanation of the product architecture, workflows and logic
• Definition of next steps for product evolution and improvement