AI+ Quantum™
AT-410
Harness Quantum Power with AI- AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI applications
- Advanced Learnings: Includes Quantum Deep Learning and transformative AI methodologies
- Industry-Oriented: Real-world case studies and trend analysis
- Ethical Focus: Learn implications of quantum AI responsibly and efficiently
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 30 hours of content
Who Should Enroll
Quantum Computing Engineers: Enhance quantum system design and performance using AI for optimization and control.
Physics Engineers: Apply AI techniques to improve quantum simulations and computational models.
AI Specialists: Leverage AI and quantum algorithms to create intelligent solutions for complex problems.
IT Specialists & System Integrators: Integrate AI-driven quantum computing systems to optimize infrastructure and solve large-scale challenges.
Students & New Graduates: Gain foundational skills in AI and quantum computing to excel in the rapidly advancing quantum technology field.
Job Roles & Industry Outlook
Quantum Computing AI Expert:
Develop groundbreaking solutions at the intersection of AI and quantum computing.
Quantum-AI Integration Specialist:
Specialize in merging AI and quantum computing technologies to maximize their combined potential.
AI Quantum Systems Analyst:
Analyze and optimize systems that integrate AI and quantum computing for enhanced performance.
AI Quantum Technology Innovator:
Lead innovations by applying quantum mechanics principles to advance AI applications.
Industry Growth: Empowering Innovators at the Intersection of AI and Quantum Science
- The global quantum computing market is expected to grow at a CAGR of 30.2% from 2023 to 2030. (Source: Grand View Research)
- Quantum computing is transforming industries such as finance, pharmaceuticals, and telecommunications, enabling faster computations.
- The adoption of quantum-powered AI solutions is accelerating, with organizations leveraging quantum algorithms to solve complex optimization.
- Quantum computing is essential for industries like aerospace and energy, enhancing problem-solving capabilities and driving technological breakthroughs.
- Quantum technology is revolutionizing sectors like healthcare, cybersecurity, and machine learning by improving data processing, and security protocols.
Skills you will gain
- Quantum Circuit Design
- Quantum Simulation Techniques
- Quantum Cryptography
- Quantum Optimization Methods
- Quantum Information Theory
What You'll Learn
- 1.1 Artificial Intelligence Refresher
- 1.2 Quantum Computing Refresher
- 2.1 Quantum Gates and their Representation
- 2.2 Multi Qubit Systems and Multi Qubit Gates
- 3.1 Core Quantum Algorithms
- 3.2 QFT and Variational Quantum Algorithms
- 4.1 Algorithms for Regression and Classification
- 4.2 Algorithms for Dimensionality and Clustering
- 5.1 Algorithms for Neural Networks – Part I
- 5.2 Algorithms for Neural Networks – Part II
- 6.1 Ethics for Artificial Intelligence
- 6.2 Ethics for Quantum Computing
- 7.1 Current Trends and Tools
- 7.2 Future Outlook and Investment
- 8.1 Quantum Use Cases
- 8.2 QML Case Studies
- 9.1 Project – I: QSVM for Iris Dataset
- 9.2 Project – II: VQC/QNN on Iris Dataset
- 9.3 Bonus: IBM Quantum Computers
Tools You’ll Master
IBM Qiskit
D-Wave Leap
Google TensorFlow Quantum (TFQ)
Amazon Braket
Prerequisites
- A foundational knowledge of AI concepts, no technical skills are required.
- Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum.
- Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
- Overview of Artificial Intelligence (AI) and Quantum Computing – 8%
- Quantum Computing Gates, Circuits, and Algorithms – 10%
- Quantum Algorithms for Artificial Intelligence – 10%
- Quantum Machine Learning – 11%
- Quantum Deep Learning – 11%
- Ethical Considerations – 11%
- Trends and Outlook – 11%
- Use Cases & Case Studies – 11%
- Workshop – 11%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
Yes, the course includes a hands-on workshop to reinforce theoretical concepts. Participants will engage in practical exercises to apply Quantum Computing principles to AI scenarios, enhancing their understanding through real-world applications.
This course is for professionals and enthusiasts with a basic understanding of AI, eager to explore AI and Quantum Computing technologies for innovative problem-solving.
Graduates of this course are equipped to contribute to industries undergoing rapid transformation, including healthcare, finance, cybersecurity, and logistics, where AI and Quantum Computing are driving innovative solutions and advancements.
By understanding both AI and Quantum Computing, participants gain insights into cutting-edge technologies that complement each other. This interdisciplinary knowledge equips them to innovate and solve complex problems more effectively across various industries.
The course emphasizes practical applications through hands-on workshops and real-world case studies. Participants gain experience in implementing Quantum Computing algorithms and techniques, enhancing their readiness to tackle industry challenges.
