Designing
UI/UX Design with Figma
Learn user-centered design, interface layouts, and Figma prototyping.
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Designing + Coding
UI/UX Design with Frontend
Combine interface design with web implementation fundamentals.
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Designing
Advanced UI/UX Design
Build stronger research, system, and portfolio case study skills.
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Designing
Job-focused UI/UX Career Track
Build a portfolio and prepare for entry-level design opportunities.
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Digital Marketing
Digital Marketing with AI
Plan campaigns and use AI to support research, content, and analysis.
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Coding + AI
AI Automation
Map business processes and create AI-assisted workflow automations.
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Coding
Python Full Stack with AI
Build full stack applications with Python and AI-assisted workflows.
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Coding
Full Stack Web Development
Create complete web apps from responsive UI to server-side features.
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Cybersecurity
Cybersecurity with AI
Study security fundamentals and AI-assisted defensive analysis.
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AI & Data
Data Analytics with AI
Prepare and analyze data, then communicate clear insights.
View course details →UI/UX with FigmaUI/UX + FrontendAdvanced UI/UXCareer trackDigital marketingAI automationPython full stackFull stack webCybersecurityData analytics
UI/UX Design with Figma
A focused introduction for beginners who want to understand interface design and build a first portfolio project.
- UX process, user flows, and wireframes
- Visual hierarchy, layout, and interface patterns
- Figma essentials and interactive prototyping
- Guided starter case study
UI/UX Design with Frontend
Combine user-centered design practice with the frontend fundamentals needed to communicate and implement web experiences.
- User research, information architecture, and interaction design
- Responsive UI design and design systems
- Frontend fundamentals and handoff practices
- Portfolio work with placement assistance
Advanced UI/UX Design
For learners ready to strengthen their process, portfolio case studies, and ability to solve more complex product problems.
- Research planning and synthesis
- Journey mapping and product thinking
- Advanced prototyping and design systems
- Mentored project and portfolio review
Job-focused UI/UX Career Track
A longer, structured path for committed learners building the skills and evidence needed to apply for entry-level design opportunities.
- Core UX and UI skills with extended project practice
- Portfolio case studies and presentation practice
- Interview preparation and job search guidance
- Placement support based on readiness and opportunity
Digital Marketing with AI
Learn to plan and measure digital campaigns, using AI tools as practical support for research, content, and optimization.
- Marketing strategy, audience research, and campaign planning
- Search, social, content, and paid campaign fundamentals
- AI-assisted content workflows and responsible review
- Campaign measurement, analytics, and reporting
AI Automation
Learn to map repetitive business tasks and design automated workflows that combine triggers, connected tools, and AI-assisted decisions.
- Process mapping and automation opportunity discovery
- Workflow logic, triggers, APIs, and webhooks
- AI steps for classification, extraction, and response drafting
- Build and document a practical business workflow
Python Full Stack with AI
Build web applications with Python across the frontend, backend, and data layers, and learn where AI-assisted development can help.
- Python programming and application fundamentals
- Frontend, backend, database, and API concepts
- Build and connect full stack application features
- Use AI coding assistants with review and testing practices
Full Stack Web Development
Learn to build complete web experiences by connecting responsive interfaces with server-side logic and data.
- HTML, CSS, JavaScript, and responsive interface fundamentals
- Server-side programming and application architecture
- Databases, APIs, and authentication concepts
- Build and present a full stack web project
Cybersecurity with AI
Build core security awareness and explore how AI-supported tools can assist defensive monitoring and analysis.
- Security principles, risk, and common attack patterns
- Network, application, and data protection fundamentals
- Threat monitoring and incident response concepts
- Responsible use of AI for defensive analysis
Data Analytics with AI
Learn to prepare, explore, and explain data, with AI-assisted workflows for analysis and reporting.
- Data cleaning, analysis, and interpretation
- Spreadsheet, SQL, and visualization concepts
- Use AI to support exploration and reporting, then verify results
- Present findings through a practical analytics project
Program details, schedules, fees, and internship or placement support may vary by batch. Confirm current information with admissions.