Deep Learning A-Z™: Hands-On Artificial Neural Networks

Course snapshot

• Artificial Neural Networks
• Convolutional Neural Networks
• Recurrent Neural Networks
• LSTMs
• Self-Organizing Maps
• Boltzmann Machines
• Autoencoders
• Transfer Learning
• TensorFlow
• PyTorch
• Keras
• Scikit-learn
• k-Fold Cross-Validation
• Hyperparameter Tuning
• Data Preprocessing
• Numpy
• Pandas
• Matplotlib
• Fraud Detection
• Recommendation Systems
• Time Series Forecasting

Deep Learning A-Z 2025 is a bestseller Udemy program focused on building real models and solving real problems while teaching the intuition behind each method. The course is organized into two branches—supervised and unsupervised deep learning—and moves from fundamentals to applications. You will implement artificial neural networks for churn prediction, convolutional neural networks for image recognition, and recurrent neural networks with LSTMs for sequence forecasting such as stock prices. The unsupervised track covers self-organizing maps for fraud investigation, Boltzmann Machines and Deep Belief Networks for recommendations, and autoencoders for representation learning and recommender systems. Along the way you will use TensorFlow, PyTorch, and Keras; evaluate models with k-fold cross validation; tune hyperparameters; and apply standard data preprocessing with Scikit-learn, Numpy, Pandas, and Matplotlib. The course provides downloadable code templates and datasets, and every practical lesson is coded from scratch so you can follow the logic line by line and adapt templates to your own projects. By the end you will have a portfolio of end-to-end deep learning projects and the skills to deploy models and tackle business problems across vision, sequences, fraud detection, and recommendations.

Pricing and availability can change. Always check the provider page.

A structured, intuition-first path from core neural nets to CNNs, RNNs, SOMs, Boltzmann Machines, and Autoencoders with real projects.— Course overview

Syllabus

• Setup and resources: codes, datasets, slides
  
• Supervised Deep Learning: ANN intuition and practice (churn modeling)
  
• CNNs for image recognition (cats vs dogs, medical imaging extension)
  
• RNNs and LSTMs for sequence modeling (stock price prediction)
  
• Unsupervised Deep Learning: Self-Organizing Maps (fraud investigation)
  
• Boltzmann Machines and Deep Belief Networks (recommendation)
  
• Autoencoders (recommendation and representation learning)
  
• Model evaluation and improvement (k-fold cross validation, tuning, preprocessing)
  
• TensorFlow vs PyTorch implementation patterns
  
• Python stack: Numpy, Pandas, Matplotlib; Keras high-level APIs
  

Instructors & Institution

Career outcomes

Admission & cost

List price shown. Coupon MT250923G1 is currently dropping price to $13.99 (~84% off) and is advertised to expire on 2025-09-26 (3 days from 2025-09-23). 30-day money-back guarantee.

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Last updated: 5 hours ago