PHPremiumCourses
Journeyman
Design Engineer Pro by Sunal Sood is a practical course for designers who want to move beyond static mockups and build functional digital products with AI-assisted development tools. It focuses on turning design concepts into working applications, using tools such as Claude, Cursor, React Native, Supabase, and other modern development technologies to prototype, build, and ship software.
Instead of relying entirely on engineering teams to bring designs to life, learners explore how to take a more hands-on role in product development. The curriculum covers AI workflows, mobile app development, native macOS applications, and career strategies for becoming a design engineer.
Course Overview
Design Engineer Pro teaches a workflow that combines design judgment with AI-assisted coding. The central idea is to help designers participate more directly in implementation, test ideas through working prototypes, and contribute code to real product environments.
The course is organized into five modules, progressing from the mindset and tools behind design engineering to building and distributing applications. It also includes two individual coaching calls with Sunal and Shashi.
The program is designed around practical execution rather than theory alone. Learners examine AI models, configure development environments, connect design files to code, integrate backend services, debug implementation problems, and prepare applications for distribution.
What You Will Learn
- AI-assisted development: Understand how to use AI models and coding environments to accelerate the transition from design to implementation.
- Tool selection and workflow design: Choose appropriate tools for different tasks and understand concepts such as MCP, CLI, and skills.md.
- Mobile application development: Build a React Native application, work with authentication and cloud storage, and prepare an Android APK.
- Native macOS development: Create a macOS application using SwiftUI, refine its interface, and package it as a DMG installer.
- Production and career readiness: Learn how to contribute to an existing codebase and understand what employers look for in design engineering candidates.
- Individual guidance: Access two 30-minute one-to-one calls with Sunal and Shashi after completing Module 03.
Module 01: The Shift
8 lessons
The opening module introduces the shift toward designers who can build as well as design. It establishes the mindset and technical foundations needed to understand AI-assisted product development.
Topics include:
- Why an offensive, action-oriented mindset can be more effective than waiting for opportunities or engineering resources.
- Frontend development, backend systems, and APIs explained in accessible language, with examples involving Pocket FM and Flipkart.
- The differences between AI tools designed primarily for prototyping and environments intended for building functional applications.
- The limitations of relying exclusively on tools such as Lovable, v0, and Figma Make.
- A comparison of AI models, including Opus, Sonnet, Codex, and Gemini.
- AI usage costs, including tokens, caching, context windows, and practical considerations when choosing a model.
- How to select an AI model that fits a particular design and development workflow.
Module 02: AI Toolkit
5 lessons
This module focuses on building an effective AI toolkit and developing workflows that make good use of design judgment, prompting, and available development tools.
Topics include:
- Why design taste, prompt quality, and workflow decisions matter more than simply choosing a popular AI tool.
- How teams at Perplexity, Intercom, Shopify, RAMP, Pocket FM, and Notion use AI, as presented in the course.
- An overview of Variant UI, Replit, v0, Magic Pattern, Magic Path, Freepic, and Unicorn Studio.
- Practical workflows for using these tools to improve productivity and move projects forward more efficiently.
- An introduction to MCP, CLI, and skills.md, including why these concepts matter for designers working with AI-native development workflows.
Module 03: Mobile App - Build and Ship Bunkd
6 lessons
The third module moves from concepts into a complete mobile application project. Learners follow the development of Bunkd, a React Native app, from environment setup through implementation and distribution.
Topics include:
- Setting up Cursor, Node.js, Expo Go, Xcode, and the iOS simulator.
- Using a Figma frame and Figma Dev Mode MCP to generate an initial running React Native application.
- Iterating on the application with a file picker, PDF preview, and Lottie empty states.
- Working through the practical challenges of an iterative development process.
- Implementing authentication and cloud storage with Supabase and the Supabase MCP.
- Investigating a zero-byte upload bug through a live debugging example.
- Building an Android APK for distribution using EAS.
- Publishing the codebase to GitHub and learning six commonly used Git commands.
Module 04: Mac App - Build and Ship a Native macOS Application
5 lessons
The fourth module expands the development workflow beyond mobile applications. Learners work on a native macOS wellbeing reminder app designed around the Mac's notch area.
Topics include:
- Setting up Kiro for macOS development and understanding which parts of the previous module's workflow carry over.
- Building an initial application with Kiro and SwiftUI.
- Comparing Vibe and Spec modes as part of the development process.
- Iterating on notch reminders and adding custom sounds sourced from Pixabay.
- Debugging and refining the interface over three iterations.
- Adding Lottie icons through Airbnb's Swift Package.
- Implementing personalization based on a user's name.
- Creating an application icon and packaging the finished project as a DMG installer.
- Reviewing the included Gatekeeper bypass guide for the distribution process.
Module 05: Stay Relevant - Hiring and Production
2 lessons
The final module addresses how to apply design engineering skills in a professional environment and prepare for relevant career opportunities.
Topics include:
- Becoming a valuable contributor to an organization's existing codebase.
- Understanding how to introduce and ship code within a team's repository without disrupting established work.
- Identifying the skills and signals employers look for when hiring design engineers.
- Understanding the potential career trajectory for design engineering roles.
Bonus: Two One-to-One Coaching Calls
The course includes two individual calls with Sunal and Shashi. Each session lasts 30 minutes and can be booked at any time after Module 03.
These sessions provide an opportunity for learners to seek individual guidance after progressing through the mobile application module. The course description does not specify additional booking restrictions or the precise topics covered during each call.
Who Is This Course For?
Design Engineer Pro is particularly relevant to people who want to combine visual design skills with hands-on software development.
Potential learners include:
- UI and product designers who want to turn Figma designs into working applications rather than relying exclusively on handoffs.
- UX designers interested in experimenting with implementation and validating product ideas through functional prototypes.
- Design engineers who want to strengthen their AI-assisted coding workflows and application delivery skills.
- Independent creators and product builders who want to explore mobile and desktop application development.
- Design professionals pursuing new roles who want to understand the technical expectations and career opportunities associated with design engineering.
Why Learn AI-Assisted Design Engineering?
Traditional design workflows often separate the creation of a design from the implementation of the finished product. That separation can make it difficult to test ideas quickly, validate technical possibilities, or deliver a working demonstration without depending on another team.
AI-assisted development offers another approach. Designers can use coding assistants to help generate and refine code while applying their own judgment to the product experience, interface details, and intended functionality.
Design Engineer Pro explores this approach through several connected areas:
- Faster experimentation: Move from a visual concept toward a working prototype through iterative AI-assisted implementation.
- Practical technical knowledge: Build familiarity with application frameworks, APIs, backend services, development environments, and version control.
- End-to-end product work: Follow projects through implementation, debugging, and packaging instead of stopping at a static mockup.
- Broader collaboration: Develop an understanding of codebases and technical workflows that can support collaboration with engineering teams.
- Career development: Explore the skills and working practices associated with design engineering roles.
Tools and Technologies Covered
The curriculum references a broad selection of AI tools and development technologies, including:
- AI models: Opus, Sonnet, Codex, and Gemini.
- AI-assisted development and prototyping: Cursor, Kiro, Replit, Lovable, v0, Figma Make, Variant UI, Magic Pattern, Magic Path, Freepic, and Unicorn Studio.
- Design-to-code integration: Figma Dev Mode MCP and other MCP-based workflows.
- Mobile development: React Native, Node.js, Expo Go, Xcode, and the iOS simulator.
- Backend and storage: Supabase and its MCP integration.
- Build and distribution: EAS, Android APK packaging, and DMG installers for macOS.
- Native macOS development: SwiftUI and Kiro.
- Interface animation: Lottie and Airbnb's Swift Package.
- Version control: Git and GitHub.
- Development concepts: Frontend, backend, APIs, CLI, tokens, caching, context windows, and skills.md.
Learning Approach and Expected Outcomes
The program follows a progression from foundational concepts to hands-on implementation and career preparation. Instead of treating AI as a substitute for understanding the product, it emphasizes the role of the designer in directing tools, evaluating results, and refining the experience.
After working through the curriculum, learners can expect to have explored workflows for:
- Choosing AI models and development tools for different tasks.
- Connecting design references to an initial application implementation.
- Building and iterating on a React Native mobile app.
- Working with authentication and cloud storage through Supabase.
- Debugging practical implementation problems.
- Preparing an Android APK and a macOS DMG installer.
- Maintaining a project through Git and GitHub.
- Contributing more confidently to an existing codebase.
- Preparing for design engineering opportunities and discussing relevant technical work.
Download Information
Course Name: Design Engineer Pro
Instructor: Sunal Sood
Category: Design, AI-Assisted Development, Software Development
Content Type: Online Course / Video Training
Language: English
Format: .MP4 + PDF
FileSize: 3.16 GB | 1 part
Course Page:
Code:
https://www.designengineer.pro/DOWNLOAD LINKS
Links are Interchangeable - No Password - Single Extraction