Machine Learning Fundamentals
Master the core concepts of machine learning, from supervised to unsupervised learning, including algorithms like regression, classification, and clustering.
Deep Learning Specialization
Explore the power of neural networks, CNNs, RNNs, and advanced architectures for tasks like image recognition, natural language processing, and generative models.
MLOps Engineering
Learn how to deploy, monitor, and manage machine learning models in production environments, ensuring scalability, reliability, and efficiency.
Reinforcement Learning
Understand the principles of training intelligent agents to make decisions in dynamic environments, with applications in robotics, gaming, and optimization.