Modern Deep Learning Foundations

Build and Train Models

A hands-on, focused TRAINING PROGRAM built for 2025.

Approximately 10 hours (23 lessons of 5-7 minutes each + hands-on exercises)

Enroll Now & Get Immediate Access

50% OFF for Students · Code: studentdl

Among Metaor AI’s clients are some of the leading companies in the industry.

Who Will Benefit Most from This Training?

Students

Who want to stand out from other candidates and build a portfolio that shows real understanding of AI.

Engineers

Who want to stay ahead of the AI wave and turn theoretical knowledge into practical skills.

Developers

Who want to add depth to their career and truly understand how things work behind the scenes.

Data Scientists

Who want a deeper understanding of how models and neural networks are trained.

Perfect for anyone with a technical foundation who’s ready to take it to the next level.

Dr. Barak Or

A researcher, lecturer, and entrepreneur in the field of artificial intelligence. He holds three degrees from the Technion, including a PhD in machine learning. Dr. Or leads the AI and Deep Learning Development Program at Google’s High-Tech School and Reichman University. He has authored numerous papers and patents in deep learning, founded metaor.ai and other AI startups, and serves as an advisor and lecturer for defense organizations and tech companies in Israel and abroad.

Dr. Barak Or portrait

Key Topics

Machine Learning vs Deep Learning – fundamental differences
Neurons, layers, activation functions, and FeedForward networks
Backpropagation, loss functions, and optimization methods
Overfitting, regularization techniques, and performance metrics
CNNs and RNNs, dimensionality reduction, and Transformers
Industry foundations: model loading & saving, TensorBoard, and computational efficiency
Preparation for deeper specialization in CV, tabular data, time series, and language models
Enroll in the program

What You’ll Gain

Complete Understanding & Practical Skills

Gain full command of neural network fundamentals and model training - including hands-on understanding of loss functions, evaluation metrics, and optimization methods.

Hands-On Practice with Modern Architectures

Build and explore advanced architectures such as CNN, AutoEncoder, ResNet, and LSTM - with complete implementation examples and guided coding exercises.

Real-World Coding Experience

Implement networks and architectures using open-source code templates and ready-to-use Colab environments, while practicing with PyTorch and TensorFlow.

Certificate of Completion

Upon completing the program, you’ll receive an official certificate you can proudly add to your CV and LinkedIn profile.

Launch Offer · Limited Spots

Join the Modern Deep Learning Foundations Program

A one-time payment to get full access.

Full price: ₪2,490
₪2,180

1-year access · Includes all digital materials

Special for Students
50% OFF
Code: studentdl
For All Other Participants
15% OFF
Code: bluegate

Discount codes cannot be combined · The discount is applied automatically after entering the code at checkout

Enroll Now

Secure payment via credit card, Apple Pay, or Google Pay.

Complimentary Training Book

This PDF is provided at no cost and may be freely shared and distributed. It serves as the official companion to the course.

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