Introduction to AI and Machine Learning Unsupervised Machine Learning Big Data Introduction Hive - Project Java Essentials Spark Project - Log Parsing NumPy for Machine Learning Project - Deploy Machine Learning models to production Introduction to ML Support Vector Machines Pandas for Machine Learning Reinforcement Learning Classification Unsupervised Machine Learning Project - Fashion MNIST Training Models Decision Trees Ensemble Learning and XGBoost Project - End-to-End Project Hands On with TensorFlow Artificial Neural Network Training Deep Neural Nets Convolutional Neural Nets Recurrent Neural Networks Autoencoders Dimensionality Reduction Project - Cats classifier Linux Basics Python Project - Churn Emails Foundations of Python Hive Project - Building Cat vs Non-Cat Image Classifier using NumPy What's Next? Project - Image Classification with Pre-trained InceptionV3 Network Linux Basics Introduction to DevOps and it's tools Git Version Control Docker Container Docker Swarm Ansible Foundations of Python Kubernetes Terraform Jenkins Monitoring tools - Graffana and Prometheus Docker MCQs Pandas for Machine Learning