- Final year focuses on AI mastery, industry-ready solutions, and AI entrepreneurship.
- Level - Expert
- Prerequisites -Year 3 AI coursework or equivalent experience
- Assessments -Industry AI deployment, AI thesis, AI startup proposal
Module 1 - AI for Cybersecurity and Digital Defense (Weeks 1-2)
Learning OutcomeDevelop AI-driven security solutions.
1.1 AI-powered threat detection and cybersecurity defense
1.2 AI in biometric authentication and fraud prevention
1.3 AI for predictive security analytics
Practical Component
Deploying an AI-based threat detection model
Module 2 - AI for the Metaverse and Digital Twin Technology (Weeks 3-4)
Learning OutcomeApply AI to immersive digital experiences.
2.1 AI-driven metaverse avatars and digital twin simulations
2.2 AI-powered VR/AR applications for education and gaming
2.3 AI-enhanced content generation for virtual environments
Practical Component
Developing an AI-generated metaverse experience
Module 3 - AI in Quantum Computing and Next-Gen AI (Weeks 5-6)
Learning OutcomeExplore the intersection of AI and quantum computing.
3.1 AI-accelerated quantum algorithms
3.2 Quantum machine learning (QML) and hybrid AI models
3.3 Future trends in AI-powered quantum systems
Practical Component
Simulating a quantum-enhanced AI model
Module 4 - AI Entrepreneurship and Startups (Weeks 7-8)
Learning OutcomeBuild and scale AI-driven businesses.
4.1 Identifying AI startup opportunities and business models
4.2 AI product development and go-to-market strategies
4.3 AI investment, funding, and scaling strategies
Practical Component
Creating an AI startup business proposal
Module 5- AI Industry Deployment and Internship (Weeks 9-10)
Learning OutcomeWork on real-world AI deployment and internships.
5.1 AI deployment case studies across various industries
5.2 AI at scale - Cloud AI, MLOps, and deployment best practices
5.3 AI research and real-world AI integration
Practical Component
Working on an industry AI project with a company
Module 6 - AI Capstone Thesis and Final Project (Weeks 11-12)
Learning OutcomeDemonstrate AI mastery through a major research project.
6.1 Writing an AI thesis based on a cutting-edge AI topic
6.2 Developing and showcasing a fully functional AI product
6.3 Presenting research findings at an AI conference or industry event
Practical Component
Publishing AI research or deploying a real-world AI solution