Udemy - Quantum Computing and AI Bootcamp - Build Future AI Systems

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Udemy - Quantum Computing and AI Bootcamp - Build Future AI Systems (Size: 2.2 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction to AI & Quantum Computing
  1. Welcome to the Future of Computing.mp4 144.4 MB
  2 - AI & Machine Learning Foundations
  3 - Quantum Computing Foundations
  10. Working with Qiskit.mp4 126.5 MB
  11. Hands-On Lab 3.html 12.9 KB
  4 - Quantum Algorithms & Optimization
  12. Introduction to Quantum Algorithms.mp4 137.1 MB
  13. Practical Quantum Algorithms.mp4 64 MB
  14. Quantum Computing for Optimization.mp4 122.2 MB
  15. Hands-On Lab 4.html 11.4 KB
  5 - Quantum Machine Learning (QML)
  16. Introduction to Quantum Machine Learning.mp4 145.5 MB
  17. Building Hybrid AI-Quantum Models.mp4 127.2 MB
  18. Quantum Neural Networks.mp4 134.8 MB
  19. Hands-On Lab 5.html 11.8 KB
  6 - Real-World Applications of AI + Quantum
  20. Quantum AI in Industry.mp4 132.7 MB
  21. Quantum Security & Cryptography.mp4 168 MB
  22. AI Agents & Future Intelligent Systems.mp4 133.9 MB
  23. AI + Quantum Projects.mp4 67.8 MB
  24. Hands-On Lab 6.html 12.2 KB
  8. Understanding Quantum Computing.mp4 122.7 MB
  9. Quantum Gates & Circuits.mp4 123.7 MB
  4. AI Fundamentals for Beginners.mp4 173.4 MB
  5. Building AI Models with Python.mp4 136.2 MB
  6. Deep Learning Essentials.mp4 128.7 MB
  7. Hands-On Lab 2.html 12.4 KB
  2. Setting Up Your Environment.mp4 57.5 MB
  3. Hands-On Lab 1.html 12.1 KB

Description


Quantum Computing & AI Bootcamp: Build Future AI Systems
https://WebToolTip.com
Published 5/2026

Created by Data Science Academy

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 36m ) | Size: 2.2 GB
Learn Quantum Computing, Quantum Machine Learning, AI systems, and hybrid AI-Quantum applications using Python & Qiskit
What you'll learn

⚡ Understand the foundations of Artificial Intelligence, Machine Learning, and Quantum Computing

⚡ Learn how qubits, superposition, entanglement, and quantum gates work in Quantum Computing

⚡ Build practical projects using Python, Qiskit, Jupyter Notebook, and IBM Quantum simulators

⚡ Create and train simple AI prediction models using Machine Learning workflows

⚡ Explore Quantum Machine Learning (QML) concepts including hybrid AI-Quantum systems and quantum classifiers

⚡ Understand how Quantum Computing may improve optimization, cybersecurity, and intelligent systems

⚡ Learn about Quantum Neural Networks, variational circuits, and quantum feature mapping
Requirements

❗ No prior experience in Quantum Computing is required — this course is beginner friendly

❗ Basic computer skills and curiosity about future technologies are enough to get started

❗ Familiarity with Python is helpful but not mandatory, as setup and basics are explained

❗ A computer with internet access is recommended for installing tools and running projects

❗ Students should be willing to explore both Artificial Intelligence and Quantum Computing concepts through hands-on practice

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