Ai & Quantum Computing Mastery: From Zero To Expert Bootcamp

Ai & Quantum Computing Mastery: From Zero To Expert Bootcamp
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

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

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.

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

Description

Overview

Section 1: Introduction to AI & Quantum Computing Mastery Course

Lecture 1 Quick Introduction to Quantum Computing

Lecture 2 Learn Python from Scratch – Quick Tutorial

Section 2: Introduction to AI & Quantum Computing

Lecture 3 Lesson 1: Course Overview & Prerequisites

Lecture 4 Lesson 2: Foundations of AI

Lecture 5 Lesson 3: Foundations of Quantum Computing

Lecture 6 Lesson 4: Machine Learning & AI Frameworks

Lecture 7 Lesson 5: Deep Learning with TensorFlow & PyTorch

Lecture 8 Lesson 6: Reinforcement Learning

Section 4: Quantum Computing Deep Dive

Lecture 9 Lesson 7: Quantum Mechanics for Beginners

Lecture 10 Lesson 8: Quantum Circuits & Gates

Lecture 11 Lesson 9: Quantum Algorithms

Section 5: AI & Quantum Computing Together

Lecture 12 Lesson 10: How AI Benefits from Quantum Computing

Lecture 13 Lesson 11: Quantum Data Processing for AI

Lecture 14 Lesson 12: Quantum Neural Networks

Section 6: Advanced Applications

Lecture 15 Lesson 13: Real-World AI-QC Use Cases

Lecture 16 Lesson 14: Quantum AI Optimization Techniques