Complete UI/UX Design Course 2026: Figma + AI Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a comprehensive and practical approach to mastering UI/UX design with Figma and AI, combining foundational design principles with modern AI integration techniques. Through real-world projects and hands-on labs, learners will build a professional portfolio and gain skills relevant to current industry demands. The course spans approximately 15–20 hours of content, structured across six core modules, blending theory, practice, and project-based learning.
Module 1: Foundations of Computing & Algorithms
Estimated time: 2 hours
- Introduction to computational thinking in design
- Problem-solving for complex engineering challenges
- Designing scalable algorithms
- Best practices and industry standards in computing
Module 2: Neural Networks & Deep Learning
Estimated time: 4 hours
- Introduction to neural networks & deep learning concepts
- Applying deep learning techniques in design contexts
- Interactive lab: Building practical AI-enhanced solutions
- Hands-on exercises with real-world applications
Module 3: AI System Design & Architecture
Estimated time: 2 hours
- Designing intelligent systems using modern frameworks
- Case study analysis of AI system architectures
- Hands-on exercises in AI system design
- Evaluation of best practices and standards
Module 4: Natural Language Processing
Estimated time: 3 hours
- Applying natural language processing techniques
- Interactive lab: Building NLP-powered features
- Review of common tools and frameworks
- Case studies in conversational UI and chatbots
Module 5: Computer Vision & Pattern Recognition
Estimated time: 4 hours
- Hands-on exercises with computer vision techniques
- Pattern recognition in user interface analysis
- Case study analysis in visual AI systems
- Evaluation metrics and performance benchmarks
Module 6: Deployment & Production Systems
Estimated time: 3 hours
- Introduction to deployment of AI-powered applications
- Hands-on exercises in production systems
- Best practices for deploying UI/UX with integrated AI
Prerequisites
- Basic familiarity with digital design tools
- Interest in UI/UX and AI integration
- No advanced coding required
What You'll Be Able to Do After
- Design user-centered interfaces enhanced with AI features
- Build interactive prototypes using Figma and AI tools
- Implement prompt engineering for LLMs in design workflows
- Evaluate performance of AI-integrated designs
- Create a professional portfolio with real-world projects