Grace Mansion First floor, 25, Infantry Road Bangalore
9:30 am - 6:00 pm
Toll free: 1800-258-2010
[email protected]
Grace Mansion First floor, 25, Infantry Road Bangalore
9:30 am - 6:00 pm
Toll free: 1800-258-2010
E-PashuHaat Transportal

GPMS TRANSPORTAL APPLIED AI COURSES

AI

Course 81:AI for Future Innovations for Grade 12

Duration - 36 Hours ( 6 Hours per week - 2 Hrs x 3)
Week 1 - AI in Quantum Computing
Learning Outcome
Understanding AIs role in next-gen computing.
1.1 Basics of quantum computing and AI integration
1.2 AI-powered quantum simulations and optimizations
1.3 Future potential of AI in quantum cryptography

Practical Component
Exploring AI-driven quantum computing simulations at Dataviv AI Lab
Week 2 - AI in Autonomous and Intelligent Systems
Learning Outcome
Exploring AI-powered self-learning and evolving technologies.
2.1 AI-driven self-learning algorithms and adaptive intelligence
2.2 AI in autonomous robotics and self-repairing systems
2.3 AI in predictive decision-making for autonomous systems

Practical Component
Experimenting with AI-driven adaptive systems at Dataviv AI Lab
Week 3 - AI in Metaverse and Augmented Reality
Learning Outcome
Understanding AIs role in immersive digital worlds.
3.1 AI-powered digital humans and avatars
3.2 AI in virtual reality and metaverse interaction
3.3 AI-generated synthetic media and deepfake detection

Practical Component
Developing AI-driven virtual environments at Dataviv AI Lab
Week 4 - Developing AI-driven virtual environments at Dataviv AI Lab
Learning Outcome
Exploring AIs role in futuristic innovations.
4.1 AI-powered interplanetary exploration and space settlements
4.2 AI in autonomous spacecraft navigation and asteroid mining
4.3 AI in theoretical physics and cosmological modeling

Practical Component
Simulating AI-powered space research at Dataviv AI Lab
Week 5 - AI in Advanced Cybersecurity and Digital Ethics
Learning Outcome
Understanding AIs role in securing digital systems.
5.1 AI-powered cyber defense and threat intelligence
5.2 AI in ethical AI governance and bias mitigation
5.3 AI in securing IoT and connected smart systems

Practical Component
Experimenting with AI-driven cybersecurity tools at Dataviv AI Lab
Week 6 - AI for Future Innovations Project
Learning Outcome
Applying AI to solve future challenges.
6.1 Identifying an emerging challenge solvable with AI
6.2 Developing an AI-powered futuristic solution
6.3 Presenting findings and final AI innovations

Practical Component
Hands-on AI future innovation project at Dataviv AI Lab