Hands-On Machine Learning, Deep Learning, Quantum Algorithms & Hybrid AI-QC Applications
What you will learn
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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.
