Tech Entrepreneurship
Course Overview
The Tech Entrepreneurship course spans five comprehensive modules designed for aspiring entrepreneurs to launch tech businesses. It starts with Idea Validation and Market Research, covering eight sessions that include defining customer personas, understanding market dynamics, and crafting a minimal viable product (MVP). Next, Digital Marketing and Advertising stretches over ten sessions, tackling branding, various online marketing strategies, and campaign planning. Design and Prototyping offers eight sessions on user experience design, wireframing, and prototyping. Rapid Website Development includes ten sessions from web basics to site launch. Lastly, Leveraging AI in Business covers eight sessions on integrating AI for business optimization. The entire course is structured into 44 sessions.
Requirements
- Laptop/desktop
Curriculum
- 5 Sections
- 44 Lessons
- 15 Hours
- Idea Validation and Market Research8
- Digital Marketing and Advertising10
- 2.0Introduction to Digital Marketing
- 2.1Branding Basics
- 2.2Social Media Marketing Essentials
- 2.3Search Engine Optimization (SEO) Basics
- 2.4Content Marketing and Blogging
- 2.5Paid Advertising Basics (PPC)
- 2.6Email Marketing Essentials
- 2.7Analytics and Tracking
- 2.8Customer Retention and Loyalty
- 2.9Building a Digital Marketing Plan
- Design and Prototyping8
- Rapid Website Development10
- 4.0Introduction to Website Builders and Coding Basics
- 4.1Domain, Hosting, and CMS Basics
- 4.2Setting Up Your Website Structure
- 4.3Designing Your Homepage
- 4.4Creating Service/Product Pages
- 4.5Adding Blog/Content Pages
- 4.6Integrating Forms and Calls to Action
- 4.7Setting Up Basic E-commerce
- 4.8Testing and Troubleshooting
- 4.9Launching and Analyzing Traffic
- Leveraging AI in Business8
- 5.0Introduction to AI for Entrepreneurs
- 5.1AI in Customer Service
- 5.2AI in Marketing and Personalization
- 5.3Using AI for Market Analysis
- 5.4Automating Business Tasks with AI
- 5.5AI for Product and Content Recommendations
- 5.6Intro to Data Analysis and Machine Learning Basics
- 5.7Ethical Considerations and Future Trends
Instructor
