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Quantum Computing & Ai Bootcamp: Build Future Ai Systems

Category: Tutorials


Quantum Computing & Ai Bootcamp: Build Future Ai Systems
Quantum Computing & Ai Bootcamp: Build Future Ai Systems
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
Description
"This course contains the use of artificial intelligence"
Step into the next generation of technology by mastering the powerful convergence ofArtificial Intelligence andQuantum Computing — two of the most revolutionary fields shaping the future of computing, automation, optimization, and intelligent systems.
This course is designed to take students from beginner-level foundations to practical understanding of howAI,Machine Learning,Quantum Computing, andQuantum Machine Learning (QML) work together to solve some of the world's most complex computational problems.
You will begin by understanding the core principles ofArtificial Intelligence, includingMachine Learning,Deep Learning,Neural Networks, and real-world AI systems. From there, you'll explore the foundations ofQuantum Computing, learning howqubits,superposition,entanglement, andquantum gates fundamentally differ from classical computing.
Unlike many theoretical courses, this bootcamp focuses heavily on practical understanding and real-world applications. You will learn how modern industries are exploringQuantum AI for areas such asdrug discovery,financial modeling,cybersecurity,fraud detection,scientific simulation, andintelligent optimization systems.
The course also introduces advanced concepts including
✨Quantum Algorithms
✨Variational Quantum Circuits
✨Quantum Neural Networks
✨Hybrid AI-Quantum Systems
✨Quantum Feature Mapping
✨Quantum Optimization
✨Post-Quantum Cryptography
✨AI Agents & Autonomous Intelligent Systems
You'll work with tools such asPython,Jupyter Notebook,Qiskit, andIBM Quantum Simulators to build practical mini-projects including
✨ AQuantum Random Number Generator
✨ AnAI Prediction Model
✨ AHybrid AI-Quantum Classifier
✨ AQuantum Optimization Demo
✨ FutureAI + Quantum Workflow Simulations
Throughout the course, you'll gain a strong understanding of howhybrid quantum-classical architectures are emerging as the dominant model for next-generation computing systems.
This course is perfect for
✨ Students curious about the future of computing
✨ AI and Machine Learning enthusiasts
✨ Developers exploring Quantum Computing
✨ Researchers and engineers entering Quantum AI
✨ Technology professionals preparing for future industry trends
By the end of this course, you will understand not only the theory behindAI + Quantum Computing, but also how future intelligent systems may operate usingquantum-enhanced optimization,autonomous AI agents, andnext-generation computational architectures.
If you want to understand where the future of technology is heading — and build foundational skills in one of the fastest-growing emerging fields — this course is your gateway into the world ofQuantum AI.
Who this course is for
⭐ Beginners curious about Artificial Intelligence, Quantum Computing, and future technologies
⭐ Students and professionals who want to understand how AI + Quantum Computing work together in real-world systems
⭐ AI, Machine Learning, and Data Science enthusiasts exploring the future of intelligent computing
⭐ Developers and engineers interested in learning Quantum Machine Learning (QML) and hybrid AI-Quantum workflows



   
   
   


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