Design Courses at uxmint
Upgrade from UX/UI Designer to AI-Era Product Designer
AI is changing the way products are researched, designed, built, and launched. While AI can generate wireframes, screens, and code, organizations increasingly need designers who can frame problems, define requirements, orchestrate AI tools, and guide products from concept to launch.
This program is designed for existing UX Designers, UI Designers, Product Designers, and Design Leads who want to stay relevant and thrive in an AI-driven future.
Who all can join this course
UX Designers, UI Designers, Product Designers, Design Managers, Design Students, UX Researchers.
Things you learn in this course
Understanding AI & Prompting
- AI, Machine Learning, Deep Learning & LLMs
- How LLMs work: Tokens, Embeddings & Prediction
- AI Models vs AI Products
- Prompt Engineering Fundamentals
- Role, Context & Task-Based Prompting
- Few-Shot & Constraint-Based Prompting
- Structured Prompting with XML
- Guardrails & Structured Outputs
- AI-Friendly File Formats: Markdown, YAML, JSON & HTML
Controlling AI, Reliability & Responsible Use
- Model Parameters: Temperature & Top P
- Context Windows & Token Budgeting
- Choosing the Right Model for the Task
- Understanding AI Hallucinations
- Grounding, Verification & Citation
- Understanding and Detecting AI Bias
- Human Review & Human Verification
- Responsible AI & High-Risk Use Cases
- Privacy & Sensitive Information
Skills, Agents & AI Workflows
- Moving from Prompts to Reusable Skills
- Designing Skills with Clear Input/Output Contracts
- Rules, Guardrails, References & Examples
- Evidence Quality & Traceability
- Agents, Skills, Inputs & Artifacts
- Common AI Workflow Failure Modes
- Testing: Typical, Edge & Adversarial Cases
- Recovery, Retesting & Validation
- Structuring Agent/Skill Projects
Orchestrating & Building AI Systems
- AI Workflow Patterns: Chaining, Routing & Parallelization
- Skills → Agents → Phases
- Phases, Gates & Human Approval
- Orchestrators & Workflow Control
- Conversation, Project & Long-Term Memory
- APIs & MCP
- Python & Environment Basics
- CrewAI & Multi-Agent Systems
- Building Sequential Agent Workflows
Applying AI to Design
- AI-Assisted Document Creation
- Structured AI Authoring Experiences
- AI-Assisted Data Visualization
- AI-Generated Insights & Recommendations
- Control vs Automation in AI Experiences
- Transparency & Explainability
- Feedback Loops & Clear AI Signifiers
- Correction, Regeneration & User Override
- Human-in-the-Loop AI Design
Demo & Final Deliverables
- AI Design Pipeline Documentation
- Phases, Agents, Skills & Gates
- Orchestrator & Project Memory
- AI-Powered End-to-End Prototype
- Working AI Application
- GitHub Repository
- Portfolio Case Study
- Trust, Control & Human-in-the-Loop Implementation
- Workflow Demonstration
- Prototype & Application Demonstration
- Final Review & Learnings
What you get ??
Certify with a tangible product, a stronger portfolio, and practical experience working as an AI-enabled Product Designer.
We also help build your Portfolio
Enter the industry with the much needed Design Portfolio; we help you create portfolio at the end of the course which help you to fetch you a job in the field.
VIEW ALLHear what students have to say about us
Enquire before it gets filled
Upcoming UI Course Schedules
| COURSES | STARTS ON | LOCATION | DURATION | FEES | |
|---|---|---|---|---|---|
| AI for Designers AI for Designers (Weekend) | 13th Sep' 2026 | Online | 1 Month | 25,000/- plus tax 4,500/- | ENQUIRE |