Free Udemy Course __ AI & Quantum Computing Mastery: From Zero to Expert Bootcamp

Hands-On Machine Learning, Deep Learning, Quantum Algorithms & Hybrid AI-QC Applications(AI)

4.5 (1,000+ students enrolled) English
data-science Machine Learning
AI & Quantum Computing Mastery: From Zero to Expert Bootcamp

What You'll Learn

  • Master AI & Machine Learning – Learn AI fundamentals, Supervised & Unsupervised Learning, and build real-world ML models from scratch.
  • Build Deep Learning Models – Train Neural Networks, CNNs, and RNNs using TensorFlow & PyTorch for image recognition, NLP, and advanced AI applications.
  • Understand Quantum Computing – Learn Qubits, Superposition, Entanglement, and how Quantum Circuits work using Qiskit and IBM Quantum.
  • Implement Quantum Algorithms – Develop Grover’s Search, Shor’s Algorithm, and Variational Quantum Circuits for real-world problem-solving.
  • Train AI Models with Quantum Computing – Use Quantum Machine Learning (QML) to enhance AI models with quantum speedups and quantum feature mapping.
  • Build AI-Powered Chatbots & NLP Systems – Create AI-driven chatbots, voice assistants, and sentiment analysis models for real-world applications.
  • Develop AI for Finance & Trading – Predict stock trends, optimize financial portfolios, and enhance risk management with AI & Quantum AI techniques.
  • Explore Quantum Cryptography & Security – Implement Quantum Key Distribution (QKD) and quantum-safe encryption for secure communication.
  • Create AI-Based Fraud Detection Systems – Train AI models to detect fraudulent transactions and cyber threats in financial and cybersecurity sectors.
  • Build AI-Quantum Hybrid Applications – Combine AI & Quantum Computing to develop next-gen applications in healthcare, finance, and data science.

Requirements

  • This course is designed for absolute beginners, so no prior experience in AI or Quantum Computing is required
  • Basic programming knowledge (Python recommended, but not mandatory)
  • A computer with internet access (Windows, macOS, or Linux)
  • Familiarity with high school-level math (Algebra, Probability, and basic Linear Algebra)
  • Interest in AI, Machine Learning, and Quantum Computing
  • Willingness to learn and experiment with hands-on coding exercises

Who This Course is For

  • Beginners & Enthusiasts – If you're new to AI or Quantum Computing and want a structured, hands-on learning experience.
  • Software Developers & Engineers – Those looking to integrate AI and Quantum Computing into applications and real-world systems.
  • Data Scientists & Machine Learning Engineers – Professionals aiming to enhance their skills in AI and explore Quantum Machine Learning (QML).
  • Quantum Computing Enthusiasts – Learners interested in understanding quantum mechanics, quantum circuits, and quantum algorithms.
  • AI Researchers & Academics – Those studying Neural Networks, Reinforcement Learning, Quantum AI, and Variational Quantum Circuits (VQC).
  • Tech Professionals & IT Experts – Individuals looking to transition into AI-driven Quantum Computing roles.
  • Entrepreneurs & Innovators – Business leaders who want to leverage AI-powered quantum solutions for finance, cybersecurity, drug discovery, and optimization.
  • Students & Graduates – University students or recent graduates eager to specialize in AI, Quantum Computing, or their hybrid applications.

Your Instructor

School of AI

AI Academy

4.4 Instructor Rating

8,562 Reviews

328,933 Students

86 Courses

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