UI/UX Design Course Training

2. Types of Applications

3. Web Application Fundamentals

4. Web Technologies: (List key technologies and their roles)

• Frontend: HTML, CSS, JavaScript, React
• Backend: Python, Java, Node.js
• Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB).

5. Software Development Life Cycle (SDLC)

• Phases: Planning, Analysis, Design, Implementation (Coding), Testing, Deployment, Maintenance.

6. Application Development Methodologies

• Agile: Core principles, Scrum, Kanban
• Waterfall

2. Types of Data

3. Data Storage

4. Data Analysis

5. Data Engineering

6. Data Science

2. Key Computing Technologies:

• CPU (Central Processing Unit)
• GPU (Graphics Processing Unit)

3. Cloud Computing:

• What is the Cloud?
• Cloud Service Models:
• IaaS (Infrastructure as a Service)
• PaaS (Platform as a Service)
• SaaS (Software as a Service)

1. What is Artificial Intelligence (AI)?

2. How AI Works?

3. Key Concepts:

• Machine Learning (ML)
• Deep Learning (DL)

4. Generative AI:

• What is Generative AI?
• Examples: Large Language Models (LLMs), image generation models.

5. AI in Everyday Learning

2. Human Resource Management Systems (HRMS)

3. Retail & E-Commerce

4. Healthcare

1. Understanding Fundamentals: Learn the basics of UI (User Interface) and UX (User Experience) design.

2. Differentiating Principles: Understand the differences and interdependencies between UI and UX design principles.

3. User-Centered Design: Introduction to user-centered design principles prioritizing the user’s needs and experience.

4. Design Tools Overview: Get acquainted with popular design tools and software used in the industry.

1. Fundamentals of Visual Design: Delve into typography, color theory, layout, and imagery.

2. Creating Engaging Experiences: Understand how these principles contribute to user engagement.

3. Hands-On Exercises: Apply visual design principles in Figma through exercises and projects.

1. Introduction to Design Systems: Understand their role in maintaining design consistency.

2. Component Libraries: Build and manage libraries for efficient design reuse.

3. Dynamic Content Handling: Implement Auto Layout in component design.

1. Key UX Laws: Overview of Hick’s Law, Fitts’s Law, and Gestalt Principles.

2. Influence on User Behavior: Discuss how these laws affect user behavior and perception.

1. Figma Interface: Explore Figma’s Layers panel, Properties panel, Toolbar, and Canvas.

2. Frames vs. Shapes: Understand the differences and appropriate uses of Frames and Shapes in Figma.

3. Basic Tools: Learn to use Selection, Drawing, Text, and Shape tools.

4. Figma Shortcuts: Introduction to keyboard shortcuts that enhance workflow efficiency.

1. Auto Layout: Understand the purpose, benefits, and usage of Auto Layout.

2. Auto Layout Features: Learn resizing constraints, padding, and spacing.

3. Responsive Design: Practice creating responsive designs using Auto Layout.

4. Components: Understand the concept of components and their importance; create and use master components and instances.

5. Component Variants: Explore variants for handling design variations and states.

6. Best Practices: Organizing and managing components and variants effectively.

1. Interactive Prototypes: Utilize components and variants for creating interactive designs.

2. Advanced Prototyping Features: Learn features such as overlays and interactive transitions.

3. User Testing: Conduct user testing on dynamic components and prototypes.

1. Definition and Principles: Learn what Design Thinking is and its core principles.

2. Iterative Process: Understand the iterative nature of the Design Thinking process.

3. Industry Applications: Explore how Design Thinking is applied across various industries.

4. Foundational Element: Introduction to empathy as a crucial element in Design Thinking.

1. Purpose and Methods: Understand the purpose and methods of the Empathize phase.

2. User Research Techniques: Conduct interviews, observations, and surveys to gather insights.

3. Empathy Maps and Personas: Develop these tools based on user research findings.

4. Practice Exercises: Hands-on exercises to practice empathy-building skills.

1. Framing the Problem Statement: Learn to articulate a clear problem statement.

2. Synthesizing Data: Techniques for synthesizing user research data into actionable insights.

3. Brainstorming Solutions: Introduction to brainstorming techniques for generating solutions.

1. Generating Creative Solutions: Understand the purpose of the ideation phase.

2. Divergent Thinking: Techniques for brainstorming, mind mapping, and sketching.

3. Encouraging Creativity: Encourage wild ideas and foster a suspension of judgment.

. Collaborative Exercises: Team-based ideation exercises to enhance creativity.

1. Building Tangible Solutions: Understanding Rapid Prototyping Techniques.

2. Iterative Process: Emphasize the importance of iteration and feedback in prototyping.

1. Gathering Feedback: Techniques for usability testing and collecting user feedback.

2. Analyzing Results: Learn to analyze test results and identify areas for improvement.

3. Prototype Iteration: Iteratively refine prototypes based on user feedback.

1. Organizational Strategies: Strategies for integrating Design Thinking into an organization’s culture.

2. Overcoming Challenges: Address common challenges in implementing Design Thinking.

3. Case Studies: Examine successful Design Thinking projects.

4. Lifelong Learning: Develop a mindset for continuous learning and innovation through Design Thinking.

What is a Portfolio: A portfolio is a curated collection of work that showcases an individual’s skills, experience, and accomplishments in a specific field.

what is a case study: A case study is a detailed examination of a specific project, showcasing the problem-solving process and outcomes.

Behance is an online platform owned by Adobe, where creatives such as designers, artists, and photographers can showcase their portfolios, share projects, and connect with other professionals.

UI/UX Resume: A UI/UX resume is a document that highlights your skills, experience, and qualifications as a designer specializing in user interface (UI) and user experience (UX) design.

Introduction to Generative AI

1. What is Generative AI?

2. Key Applications:

• Text (ChatGPT, Claude, LLaMA)
• Images (DALL·E, MidJourney, Stable Diffusion)
• Audio (Music Generation, Voice Cloning)
• Code (GitHub Copilot, Cursor)

3. Evolution of GenAI:

•  Rule-Based → Deep Learning → Transformers
• GANs vs. VAEs vs. LLMs

1. Effective Prompt Design

• Instruction-Based, Few-Shot, Zero-Shot

2. Advanced Techniques:

• Chain-of-Thought (CoT) Prompting
• Self-Consistency & Iterative Refinement
• Hands-on:
• Optimizing prompts for GPT-4, Claude, LLaMA

Transformer Architecture

1. Why Transformers? (Limitations of RNNs/LSTMs)

2. Key Components:

• Self-Attention & Multi-Head Attention
• Encoder-Decoder (BERT vs. GPT)

3. Evolution: BERT → GPT → T5 → Mixture of Experts

4. Large Language Models (LLMs)

5. Pre-training vs. Fine-tuning

6. Popular Architectures:

• GPT-4, Claude, Gemini, LLaMA 3
• BERT (Encoder-based) vs. T5 (Text-to-Text)

Introduction to AI Agents

1. What are AI Agents?

2. vs. Traditional AI:

3. Applications:

AI Agent Frameworks

1. CrewAI (Multi-Agent Collaboration):

2. n8n (Workflow Automation):

Designing AI Agents

• CrewAI + n8n: Automating Business Workflows
• Multi-Agent Systems: Collaboration & Specialization

Real-World Applications

• Case Studies:
• AI Customer Support Agents