Courses I’ve Taken

The Hebrew University of Jerusalem

Master Degree of Mathematics

• M.Sc Thesis - Generators for Finite Index Subgroups of \(\mathrm{SL}_{n}\left(\mathcal{O}_{k}\right)\)
• Fundamental Concepts in Representation Theory
• Fundamental Concepts in Commutative Algebra
• Fundamental Concepts in Analysis
• Workshop for Graduate Students
• Advanced Algebra Seminar
• Game Theory
• Metric Embedding Theory & its Algorithmic Applications
• Harmonic Analysis
• Topological Methods in Free Groups
• Topics in Number Theory and Algebraic Geometry
• Topics in Group Theory

Bachelor Degree of Mathematics & Physics

Mathematics Courses

• Infinitesimal Calculus (1)
• Infinitesimal Calculus (2)
• Advanced Infinitesimal Calculus (1)
• Advanced Infinitesimal Calculus (2)
• Complex Variables and Applications
• Ordinary Differential Equations
• Introduction to Partial Differential Equations
• Equations of Mathematical Physics
• Linear Algebra (1)
• Linear Algebra (2)
• Algebraic Structures (1)
• Algebraic Structures (2)
• Mathematical Methods I
• Mathematical Methods II
• Probability Theory and Applications
• Introduction to Topology
• Measure Theory
• Mathematical Logic
• Set Theory
• History of Mathematics

Physics Courses

• C++ Programming and Matlab
• Mechanics and Special Relativity
• Electricity and Magnetism
• Thermal Physics
• Waves and Optics
• Analytical Mechanics
• Quantum Theory I
• Quantum Theory II
• Intro. to Statistical Physics
• Physics Lab A
• Physics Lab B
• Physics Lab C
• Basic Ideas of Modern Physics
• Intro to Elementary Particles
• Astrophysics and Cosmology
• Nuclear Physics

John Bryce College

Professional Certificate in .NET Development (350+ Hours)

• Object Oriented Programming
• .NET Framework
• Basic C# Programing
• Advanced C# Programing
• ASP.NET Core
• JavaScript
• SQL & SQL Server
• HTML5 & CSS3

Coursera (30+ Specializations & Certificates) (465+ Hours)

Specialization in Deep Learning by deeplearning.ai (78+ Hours)

Certificate in Neural Networks and Deep Learning (20+ Hours)

• Introduction to deep learning (2 Hours)
• Neural Networks Basics (8 Hours)
• Shallow Neural Networks (5 Hours)
• Deep Neural Networks (5 Hours)

Certificate in Improving DNNs:Hyperparameter tuning, Regularization & Optimization (18+ Hours)

• Practical aspects of Deep Learning (8 Hours)
• Optimization algorithms (5 Hours)
• Hyperparameter tuning, Batch Normalization and Programming Frameworks (5 Hours)

Certificate in Structuring Machine Learning Projects (5+ Hours)

• ML Strategy (1) (2 Hours)
• ML Strategy (2) (3 Hours)

Certificate in Convolutional Neural Networks (20+ Hours)

• Foundations of Convolutional Neural Networks (6 Hours)
• Deep convolutional models: case studies (5 Hours)
• Object detection (4 Hours)
• Special applications: Face recognition & Neural style transfer (5 Hours)

Certificate in Sequence Models (15+ Hours)

• Recurrent Neural Networks (6 Hours)
• Natural Language Processing & Word Embeddings (4 Hours)
• Sequence models & Attention mechanism (5 Hours)

Professional Certificate in TensorFlow by deeplearning.ai (83+ Hours)

Certificate in TensorFlow for AI, ML, and Deep Learning (30+ Hours)

• A New Programming Paradigm (6 Hours)
• Introduction to Computer Vision (7 Hours)
• Enhancing Vision with Convolutional Neural Networks (8 Hours)
• Using Real-world Images (9 Hours)

Certificate in Convolutional Neural Networks in TensorFlow (28+ Hours)

• Exploring a Larger Dataset (7 Hours)
• Augmentation: A technique to avoid overfitting (7 Hours)
• Transfer Learning (7 Hours)
• Multiclass Classifications (7 Hours)

Certificate in Natural Language Processing in TensorFlow (13+ Hours)

• Sentiment in text (3 Hours)
• Word Embeddings (4 Hours)
• Sequence models (3 Hours)
• Sequence models and literature (3 Hours)

Certificate in Sequences, Time Series and Prediction (12+ Hours)

• Sequences and Prediction (3 Hours)
• Deep Neural Networks for Time Series (3 Hours)
• Recurrent Neural Networks for Time Series (3 Hours)
• Real-world time series data (3 Hours)

Specialization in Advanced Data Science by IBM (79+ Hours)

Certificate in Fundamentals of Scalable Data Science (20+ Hours)

• Introduction the course and grading environment (5 Hours)
• Tools that support BigData solutions (6 Hours)
• Scaling Math for Statistics on Apache Spark (5 Hours)
• Data Visualization of Big Data (4 Hours)

Certificate in Advanced Machine Learning and Signal Processing (27+ Hours)

• Setting the stage (6 Hours)
• Supervised Machine Learning (10 Hours)
• Unsupervised Machine Learning (5 Hours)
• Digital Signal Processing in Machine Learning (6 Hours)

Certificate in Applied AI with DeepLearning (24+ Hours)

• Introduction to deep learning (6 Hours)
• DeepLearning Frameworks (7 Hours)
• DeepLearning Applications (7 Hours)
• Scaling and Deployment (4 Hours)

Certificate in Advanced Data Science Capstone (8+ Hours)

• Identify DataSet and UseCase (2 Hours)
• ETL and Feature Creation (2 Hours)
• Model Definition and Training (1 Hours)
• Model Evaluation, Tuning, Deployment and Documentation (3 Hours)

Specialization in AI Foundations for Business by IBM (21+ Hours)

Certificate in Introduction to Artificial Intelligence (8+ Hours)

• What is AI? Applications and Examples of AI (1 Hours)
• AI Concepts, Terminology, and Application Areas (2 Hours)
• AI: Issues, Concerns and Ethical Considerations (2 Hours)
• The Future with AI, and AI in Action (3 Hours)

Certificate in What is Data Science (10+ Hours)

• Defining Data Science and What Data Scientists Do (3 Hours)
• Data Science Topics (3 Hours)
• Data Science in Business (4 Hours)

Certificate in Framework for Deploying AI in your Enterprise (3+ Hours)

• Introduction to AI and the AI Ladder (3 Hours)

Specialization in Key Technologies for Business by IBM (30+ Hours)

Certificate in Introduction to Cloud Computing (12+ Hours)

• Overview of Cloud Computing (3 Hours)
• Cloud Computing Models (2 Hours)
• Components of Cloud Computing (2 Hours)
• Emergent Trends and Practices (2 Hours)
• Cloud Security and Monitoring, Case Studies, and Jobs (3 Hours)

Certificate in Introduction to Artificial Intelligence (8+ Hours)

• What is AI? Applications and Examples of AI (1 Hours)
• AI Concepts, Terminology, and Application Areas (2 Hours)
• AI: Issues, Concerns and Ethical Considerations (2 Hours)
• The Future with AI, and AI in Action (3 Hours)

Certificate in What is Data Science (10+ Hours)

• Defining Data Science and What Data Scientists Do (3 Hours)
• Data Science Topics (3 Hours)
• Data Science in Business (4 Hours)

Professional Certificate in Applied AI by IBM (83+ Hours)

Certificate in Introduction to Artificial Intelligence (8+ Hours)

• What is AI? Applications and Examples of AI (1 Hours)
• AI Concepts, Terminology, and Application Areas (2 Hours)
• AI: Issues, Concerns and Ethical Considerations (2 Hours)
• The Future with AI, and AI in Action (3 Hours)

Certificate in Getting Started with AI using IBM Watson (10+ Hours)

• Watson AI Overview (2 Hours)
• Watson AI Services (3 Hours)
• More Watson AI Services (2 Hours)
• Watson in Action (3 Hours)

Certificate in Building AI Powered Chatbots Without Programming (8+ Hours)

• Introduction (1 Hours)
• Intents (1 Hours)
• Entities (1 Hours)
• Dialog (1 Hours)
• Deployment (1 Hours)
• Context Variables & Slots (1 Hours)
• Digressions (1 Hours)

Certificate in Python for Data Science and AI (29+ Hours)

• Python Basics (4 Hours)
• Python Data Structures (6 Hours)
• Python Programming Fundamentals (7 Hours)
• Working with Data in Python (10 Hours)
• Analyzing US Economic Data and Building a Dashboard (2 Hours)

Certificate in Building AI Applications with Watson APIs (13+ Hours)

• Introduction(1 Hours)
• Watson Discovery(1 Hours)
• Building the Chatbot(1 Hours)
• Giving it a Voice(1 Hours)
• Deployment(1 Hours)
• Project (8 Hours)

Certificate in Introduction to Computer Vision with Watson and OpenCV (15+ Hours)

• Introduction to Computer Vision (1 Hours)
• Image Classification with IBM Watson (1 Hours)
• Custom Classifiers with Watson Visual Recognition (1 Hours)
• Image Processing using IBM Watson and Python (3 Hours)
• Image Processing using OpenCV and Python (4 Hours)
• Project: Building a Web-Based Computer Vision App using IBM Cloud (5 Hours)

Certificate in Machine Learning by Stanford (60+ Hours)

• Introduction (2 Hours)
• Linear Regression with One Variable (2 Hours)
• Linear Algebra Review (2 Hours)
• Linear Regression with Multiple Variables (3 Hours)
• Octave/Matlab Tutorial (5 Hours)
• Logistic Regression (2 Hours)
• Regularization (5 Hours)
• Neural Networks: Representation (5 Hours)
• Neural Networks: Learning (5 Hours)
• Advice for Applying Machine Learning (5 Hours)
• Machine Learning System Design (2 Hours)
• Support Vector Machines (5 Hours)
• Unsupervised Learning (1 Hours)
• Dimensionality Reduction (5 Hours)
• Anomaly Detection (2 Hours)
• Recommender Systems (5 Hours)
• Large Scale Machine Learning (2 Hours)
• Application Example: Photo OCR (2 Hours)

Certificate in Practical Deep Learning by Intel (16+ Hours)

• Introduction to Deep Learning and Deep Learning Basics (5 Hours)
• Convolutional Neural Networks (CNN), Fine-Tuning and Detection (4 Hours)
• Recurrent Neural Networks (RNN) (3 Hours)
• Training Tips and Multinode Distributed Training (2 Hours)
• Hot Research and Intel’s Roadmap (2 Hours)

Certificate in Computer Vision by University at Buffalo & University of New York (14+ Hours)

• Computer Vision Overview (4 Hours)
• Color, Light, & Image Formation (5 Hours)
• Low-, Mid- & High-Level Vision (3 Hours)
• Mathematics for Computer Vision (2 Hours)

The certificates are available here.