Overview
Course Description
The Tek-Z Graphic Designing course teaches you the principles of design, branding, and digital art creation using tools like Photoshop, Illustrator, and Canva. Perfect for beginners and aspiring designers who want to create stunning visuals and marketing materials.
What you'll learn
- Design principles, color theory, and typography
- Logo, poster, and branding design
- Digital illustration and photo editing
- UI design and layout composition
- Portfolio development with real projects
Course Features:
- Hands-on design projects
- Expert creative mentorship
- Access to premium design tools
- Portfolio-based certification
Course Content
Overview of UI/UX Design
Differences between UI and UX
Design Thinking and User-Centered Design
Introduction to Design Tools (Figma, Adobe XD)
Importance of User Research in Design
Conducting User Interviews and Surveys
Creating Personas and Empathy Maps
Hands-on: Analyzing user needs
Structuring Information for Better Usability
Creating Sitemaps and User Flows
Introduction to Wireframing
Hands-on: Designing wireframes using Figma/Adobe XD
Color Theory, Typography, and Layout Design
Consistency and Design Systems
Designing for Accessibility
Hands-on: Creating style guides
lor Theory, Typography, and Layout Design
Creating Interactive Prototypes
Microinteractions and Animation Basics
User Testing and Feedback Integration
Hands-on: Developing a clickable prototype
cy and Design Systems
Deep Dive into Figma/Adobe XD
Designing Responsive Interfaces
Exporting Assets and Design Handoff to Developers
Hands-on: Full mockup creation
signing for Accessibility
Conducting Usability Tests
Analyzing User Feedback
Iteration and Improving Design
Hands-on: Conducting a usability test on a projects
on: Creating style guides
Building and Managing Design Systems
Branding Essentials for UI/UX Designers
Consistency in Multi-platform Design
Hands-on: Creating a mini design system
Introduction to Motion Design in UI
Advanced Prototyping Techniques
Inclusive and Ethical Design Practices
Hands-on: Designing for diverse user needs
Building a comprehensive machine learning project
End-to-end project workflow: problem definition, data collection, model development, evaluation, and deployment
Code review and optimization
Q&A and troubleshooting
anced Prototyping Techniques