Future of Cloud - New Generation of Compute and Applications with AI and Quantum

Overview

Discover how hybrid applications combining AI, supercomputing, and quantum technologies are revolutionizing scientific discovery to address global challenges in chemistry, energy, and life sciences.

Syllabus

• Introduction to Cloud Computing
Overview of cloud architectures
Cloud service models (IaaS, PaaS, SaaS)
• Fundamentals of Artificial Intelligence
Key AI concepts and technologies
Machine learning and deep learning basics
• Basics of Quantum Computing
Principles of quantum mechanics
Quantum algorithms and their applications
• Hybrid Cloud Applications
Integration of AI and quantum computing
Case studies of hybrid applications in the cloud
• Revolutionizing Scientific Discovery
AI and quantum approaches in chemistry
Impact on energy research and innovation
Transformative applications in life sciences
• Computational Challenges and Solutions
Scalability and performance optimization
Security and data privacy in hybrid systems
• Industry Case Studies
Real-world applications in leading industries
Success stories and lessons learned
• Future Trends and Innovations
Emerging technologies in AI and quantum computing
Predictions for the future impact on industries
• Practical Workshop
Hands-on project: Designing a hybrid AI-Quantum application
Tools and platforms for development
• Course Conclusion
Recap of key learnings
Exploring career opportunities in AI and Quantum computing
• Resources and Further Reading

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Subjects

Programming