Linux Basics Introduction to ML SQL Tutorial Machine Learning Process Analytics and Data Sciences End to End Project - Regression The underpinnings of ML Challenges in Machine Learning Project End to End Project - Classification Design & Constructs Project - Deploy Machine Learning models to production Introduction to DevOps and it's tools Project - Churn Emails Inbox with Python Getting Started with Git Docker Container Docker Swarm Project - Noise removal from images Foundations of Python Kubernetes Artificial Neural Networks - MCQs Jenkins Monitoring tools - Graffana and Prometheus Docker MCQs Artificial Neural Networks References Deploying Single Container Static App with Docker & Travis CI on AWS Elastic Beanstalk Deploying Multi Container Flask App with Docker & Travis CI on AWS Elastic Beanstalk Deploying Single Container Flask app with Docker, Travis CI, AWS RDS & AWS ElastiCache on AWS Elastic Beanstalk Testing Single Container Static App Locally on Minikube Automating Deployment of Single Container Static App on Google Kubernetes Engine with Docker & Travis CI Git Version Control (Basic to Advanced) Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Regression (Studio Recorded) End to End Project - Classification (Studio Recorded)