Become an AI Design Engineer in 5 Months
A 20-week live program that helps serious beginners learn UI/UX, product thinking, AI-powered design workflows, frontend foundations, design systems, portfolio building, and career readiness through real projects.
This is not just UI/UX. This is design for the AI era.
Limited launch batch seats · Foundational offer
This program is designed to help students move beyond basic UI screens. Students learn how to understand users, design interfaces, use AI intelligently, build working prototypes, document workflows, and present their work with confidence.
You learn product thinking, user research, design systems, UI craft, and how design connects with real working products.
You learn how to use AI with judgment for research, ideation, UX writing, design critique, prototyping, and code-assisted building.
You learn through live classes, weekly assignments, mentor feedback, portfolio projects, and a final capstone.
A serious course should leave you with proof of work, not just notes and certificates.
A live website that presents you and your work professionally.
A presentation-ready case study showing your full design process.
Reusable components, tokens and patterns for scalable design.
A tested set of prompts you can reuse across design work.
Repeatable, documented AI-powered design workflows.
A working, deployed webpage or prototype with a public URL.
An end-to-end product concept designed and built by you.
A stronger profile and resume aligned with your new skills.
A clear deck to present your projects with confidence.
Practical preparation for internships, freelance, and junior roles.
Outcomes depend on student consistency, assignment completion, feedback implementation, and project effort.
No prior coding or design experience is required, but students must be ready to practice every week.
A complete, future-ready skill set — not just one tool.
Solve real user and business problems instead of only making screens look good.
Understand users through interviews, flows, observation, and insight mapping.
Create clean, modern, usable interfaces with strong visual hierarchy.
Build reusable components, tokens, styles, and scalable interface patterns.
Use AI for research, ideation, UX writing, UI exploration, critique, and productivity.
Understand frontend basics and turn design ideas into working digital experiences.
Build portfolio proof, improve communication, and prepare for internships, freelance work, junior roles, or advanced learning.
A 20-week roadmap designed to help beginners learn design, AI workflows, product thinking, frontend basics, and portfolio-building through real projects.
Goal: Understand how digital products work and build confidence with HTML, CSS, JavaScript basics, APIs, debugging, and component thinking.
Browser, server, domain, hosting, DNS, HTTP, request-response, client vs server.
Document structure, semantic HTML, headings, links, images, lists, forms, accessibility basics.
Personal profile page, clean structure, semantic layout, content-first thinking.
Assignment: Build a personal profile webpage using HTML.
Selectors, box model, typography, colors, spacing, borders, shadows.
Flexbox, CSS Grid, cards, sections, navbars, layout thinking for designers.
Mobile-first design, media queries, responsive spacing, breakpoints, real device checks.
Assignment: Style the personal profile page and make it responsive.
Variables, data types, functions, conditions, loops.
Selecting elements, changing content, updating styles, creating elements dynamically.
Click events, input events, forms, simple animations, interactive UI behavior.
Assignment: Build a simple interactive to-do app.
What is an API, REST basics, JSON, fetching data, reading API responses.
Chrome DevTools, console errors, inspecting layouts, fixing broken UI, reading docs.
Reusable UI blocks, props and state explained simply, how modern apps are structured.
Assignment: Build a small live-data app using a public API.
Milestone: Students can understand, edit, debug, and explain basic frontend code.
Goal: Learn user research, visual design, Figma, interface design, design systems, prototyping, testing, and case study writing.
Typography, color, spacing, alignment, contrast, visual hierarchy.
Grids, Gestalt principles, sections, cards, responsive UI thinking.
Frames, shapes, text, auto layout, constraints, components basics.
Assignment: Redesign a weak UI and explain every design decision.
Buttons, inputs, cards, navigation, states, reusable UI.
Styles, variables, tokens, naming conventions, reusable patterns.
Dev Mode basics, spacing, colors, assets, component documentation.
Assignment: Build a mini design system for a SaaS dashboard.
Interviews, surveys, observation, secondary research, asking better questions.
Personas, empathy maps, Jobs to be Done, pain points, user goals.
User flows, task flows, site maps, navigation structures, wireframes.
Assignment: Interview 3 real users and map their journey.
Clickable prototypes, transitions, micro-interactions, prototype flows.
Testing with users, observing behavior, capturing feedback, improving designs.
Problem statement, research summary, design process, final screens, learnings, presentation.
Assignment: Complete one full UI/UX case study.
Milestone: Students complete one presentation-ready UI/UX case study.
Goal: Use AI as a thinking partner, researcher, writer, design assistant, critique partner, and workflow accelerator.
LLMs, tokens, context, hallucinations, strengths, weaknesses, why human judgment matters.
Context, constraints, role, examples, output format, iteration.
Problem framing, research synthesis, competitor analysis, feature ideation, PRD drafting.
Assignment: Create a personal prompt library with 15 tested prompts.
Interview questions, surveys, persona drafting, journey maps, insight clustering.
Moodboards, brand direction, UI inspiration, image generation, icon and illustration direction.
Brief to wireframe, wireframe to UI, UI to copy, design critique, manual refinement.
Assignment: Design one AI-assisted app screen and document the workflow.
Chat interfaces, AI copilots, recommendation systems, personalized UX, trust and transparency.
Human-agent interfaces, structured inputs, clear outputs, error handling, user control.
Repeatable workflows, prompt chains, tool selection, quality checks, human review.
Assignment: Document a complete AI-powered design workflow.
Milestone: Students build an AI prompt library, AI workflow document, and AI-assisted design piece.
Goal: Turn design into working products using frontend basics, Cursor, AI coding tools, visual builders, no-code tools, deployment, QA, and product quality checks.
What vibe coding is, where it works, where it fails, reviewing AI-generated code, avoiding broken products.
Project setup, chat with codebase, AI suggestions, refactoring, debugging, reviewing before accepting.
Generating UI components, reading generated code, editing manually, connecting design with code.
Assignment: Build a landing page section using AI-generated code and manually improve it.
Components, props, state, JSX, reusable UI.
Layout, cards, forms, navigation, state-based UI.
Figma components, tokens to CSS variables, reusable components, responsive component thinking.
Assignment: Build a React-based dashboard UI.
Pages, sections, breakpoints, components, CMS basics.
Animations, interactions, forms, SEO basics, publishing.
Personal brand structure, case study pages, project pages, contact section, publishing live.
Assignment: Build and publish a personal portfolio website.
Bolt, Lovable, Replit, V0, when to use each, choosing the right stack.
Databases, authentication, forms, APIs, storage, basic security thinking.
Common AI code mistakes, broken layouts, state issues, API errors, deployment issues, manual fixes.
Assignment: Build a small functional web app using an AI builder.
Vercel, Netlify, custom domains, environment variables, SSL, deployment checklist.
Performance basics, mobile responsiveness, accessibility checks, form validation, error and empty states.
Manual QA, bug tracking, product demo, handoff documentation, client-style presentation.
Assignment: Deploy the web app, test it, and present it like a real client project.
Milestone: Students publish a live product or portfolio piece with a public URL.
Goal: Build a capstone project, document the process, prepare portfolio assets, and present work professionally for internships, freelance work, junior roles, or further advanced learning.
Problems vs features, user value, business value, product outcomes, prioritization.
Product requirement documents, user stories, acceptance criteria, feature scope, MVP thinking.
Figma, Notion, Linear, Swiggy/Zomato, Indian product examples.
Assignment: Write a mini PRD for the capstone project.
Problem selection, target users, market context, success metrics, scope control.
Design sprint method, user flows, wireframes, feature prioritization, MVP decisions.
Final UI design, design system use, prototype, instructor review, build approval.
Assignment: Complete and get approval for your capstone Figma design.
Project setup, core structure, navigation, layout.
Functionality, forms, data integration, AI feature integration.
Responsiveness, polish, edge cases, testing, deployment.
Assignment: Deploy the capstone project with documentation.
Live project demo, problem explanation, design process, build process, learnings.
Portfolio review, case study improvement, LinkedIn optimization, resume basics, personal positioning.
Interview preparation, freelance basics, client outreach, presenting projects, learning after the course.
Assignment: Final portfolio submission.
Milestone: Students finish with portfolio assets, project proof, capstone work, and career-readiness preparation.
The syllabus may evolve slightly as tools and industry workflows change, but the core focus remains the same: thinking, designing, building, and shipping.
You do not need to know these tools before joining. We introduce them step by step through projects.
Consistent practice is what turns learning into real skill.
We do not promise guaranteed jobs or fake placements. We help students build real proof of work, improve their portfolio, prepare their resume and LinkedIn profile, practice interviews, and understand freelance or junior-role opportunities.
Top-performing and eligible students may receive priority consideration for project exposure through the Formant Systems network.
Skill IQ Academy is led by Rama Sandeep Ch, a self-learned designer, educator, and builder who understands the gap between college learning and real career skills.
This program is designed for serious beginners who need practical direction, honest mentoring, and real project-based learning.
Talk to Skill IQ on WhatsApp
Founder & Lead Mentor
One serious program. A simple, honest launch offer.
AI Design Engineer Track
Foundational Offer · Limited Launch Batch SeatsLaunch offer — save ₹10,000
Flexible payment
₹24,999 or easy monthly payment option
No. The course starts from basics and slowly moves into practical projects.
No. Coding is introduced step by step. The goal is not to turn you into a full-stack developer, but to help you understand and build modern digital products with AI support.
The program is live cohort-based. Recordings will be provided for revision.
No honest academy can guarantee a job. This course is designed to help you build practical skills, portfolio proof, career readiness, and confidence to apply for internships, freelance work, junior roles, or further advanced learning.
Yes. Students will work on portfolio projects, UI/UX case studies, design systems, AI workflow documentation, and a capstone project.
Yes. It is built for serious beginners who are ready to practice consistently.
Click the WhatsApp button and message Skill IQ Academy directly.
Join the Skill IQ Academy Launch Batch 2026 and start building the skills, projects, and confidence needed for modern product design careers.
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