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
- Demand for AI and Quantum Technology Experts: Organizations are seeking certified experts who can integrate AI with quantum technologies to optimize data processing and accelerate problem-solving.
- Mitigating Risks in AI and Quantum Integration: Mismanagement of quantum computing systems and AI integration can result in inefficiencies and inaccurate results in critical applications.
- Developing Reliable Quantum Strategies with AI: Certified professionals play a key role in developing quantum strategies that ensure performance, reliability, and alignment with industry standards.
- Gaining a Competitive Edge: As quantum computing and AI continue to revolutionize industries, this certification provides professionals with a competitive edge, preparing them for advanced roles.
Course + Exam Overview
Program Name
AI+Quantum™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
Instructor-Led: 5 days (live or virtual) Self-Paced: 30 hours of content
Prerequisites
Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
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.
Available Dates
Job Roles & Industry Outlook
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’ll Gain
Quantum Circuit Design
Quantum Simulation Techniques
Quantum Cryptography
Quantum Optimization Methods
Quantum Information Theory
What You'll Learn
Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing
- 1.1 Artificial Intelligence Refresher
- 1.2 Quantum Computing Refresher
Module 2: Quantum Computing Gates, Circuits, and Algorithms
- 2.1 Quantum Gates and their Representation
- 2.2 Multi Qubit Systems and Multi Qubit Gates
Module 3: Quantum Algorithms for AI
- 3.1 Core Quantum Algorithms
- 3.2 QFT and Variational Quantum Algorithms
Module 4: Quantum Machine Learning
- 4.1 Algorithms for Regression and Classification
- 4.2 Algorithms for Dimensionality and Clustering
Module 5: Quantum Deep Learning
- 5.1 Algorithms for Neural Networks – Part I
- 5.2 Algorithms for Neural Networks – Part II
Module 6: Ethical Considerations
- 6.1 Ethics for Artificial Intelligence
- 6.2 Ethics for Quantum Computing
Module 7: Trends and Outlook
- 7.1 Current Trends and Tools
- 7.2 Future Outlook and Investment
Module 8: Use Cases & Case Studies
- 8.1 Quantum Use Cases
- 8.2 QML Case Studies
Module 9: Workshop
- 9.1 Project – I: QSVM for Iris Dataset
- 9.2 Project – II: VQC/QNN on Iris Dataset
- 9.3 Bonus: IBM Quantum Computers
Optional Module: AI Agents for Quantum
- 1. What Are AI Agents
- 2. Key Capabilities of AI Agents in Quantum Computing
- 3. Applications and Trends for AI Agents in Quantum Computing
- 4. How Does an AI Agent Work
- 5. Core Characteristics of AI Agents
- 6. Types of AI Agents
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)
Exam Blueprint:
- Overview of Artificial Intelligence (AI) and Quantum Computing – 8%
- Quantum Computing Gates, Circuits, and Algorithms – 10%
- Quantum Algorithms for AI – 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
- Hands-on Labs
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A and peer collaboration
- 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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Frequently Asked Questions
Are there hands-on components in the course?
- 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.
Who should enroll in this AI+ Quantum™ course?
- 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.
What career opportunities does this course open up?
- 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.
What are the benefits of learning about AI and Quantum Computing together?
- 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.
How practical are the skills learned in this course for real-world applications?
- 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.
