Course Objectives
Upon successful completion of this course, students will be able to:
- Understand AI-Assisted Software Development
- Master Cursor AI
- Apply Prompt Engineering for Developers
- Develop Backend Applications
- Work with MongoDB
- Implement Authentication and Authorization
- Build AI-Powered Applications
- Develop Real-World Projects
- Debug and Optimize Applications
- Use Modern Development Tools
- Deploy Full-Stack Applications
- Build a Professional Developer Portfolio
- Prepare for Freelancing and Industry
- Improve Software Development Productivity
Learning Outcomes
By the end of this course, students will be able to:
- Configure and effectively use Cursor AI for software development
- Develop backend applications using Node.js, Express.js, and MongoDB.
- Build and consume RESTful APIs.
- Implement secure authentication and authorization mechanisms.
- Integrate Gemini AI into practical applications.
- Build complete AI-powered web applications from scratch.
- Debug, optimize, and maintain software using AI-assisted development tools.
- Deploy applications to cloud platforms.
- Create a professional GitHub portfolio showcasing multiple real-world projects.
- Apply AI-powered development techniques in academic, professional, and freelance environments.
Prerequisites
Participants should have:
- Basic Computer Skills
- Basic JavaScript Knowledge
- Basic HTML & CSS
- Familiarity with Visual Studio Code (preferred but not mandatory)
- No prior knowledge of AI tools is required
Target Audience
This course is designed for:
- BSCS / BSIT / Software Engineering Students
- ADP-CS Students
- Fresh Graduates
- Junior Software Developers
- MERN Stack Beginners
- Final Year Project Students
- Freelancers who want to increase productivity using AI
- Professionals interested in AI-assisted software development