36 lectures covering micro and macroeconomics, market dynamics, and economic policy.
Institution: Coursera

Neural Networks and Deep Learning
Course 1 of the Deep Learning Specialization. Covers the foundations of deep learning, including neural network architecture, forward and backward propagation, and building deep neural networks.

Sequence Models
Course 5 of the Deep Learning Specialization. Covers RNNs, GRUs, LSTMs, attention mechanisms, and transformer networks.

Convolutional Neural Networks
Course 4 of the Deep Learning Specialization. Covers CNN architectures, object detection, face recognition, and neural style transfer.

Structuring Machine Learning Projects
Course 3 of the Deep Learning Specialization. Covers ML strategy, error analysis, and techniques for building successful machine learning projects.

Hyperparameter Tuning, Regularization and Optimization
Course 2 of the Deep Learning Specialization. Covers optimization algorithms, hyperparameter tuning, batch normalization, and programming frameworks.

Deep Learning Specialization
The Deep Learning Specialization is a foundational program that teaches the capabilities, challenges, and consequences of deep learning and prepares learners to participate in the development of leading-edge AI technology.
This specialization consists of five courses covering neural networks, deep learning optimization, structuring ML projects, convolutional neural networks, and sequence models.

GDPR for Security Professionals
General Data Protection Regulation compliance and implementation for security professionals.

Blockchain and Cryptocurrency
Comprehensive coverage of blockchain technology, cryptocurrency mechanics, and their security implications.

