Linux Basics Introduction to ML SQL Tutorial Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences End to End Project - Regression The underpinnings of ML Challenges in Machine Learning Project Unsupervised Machine Learning Generalized AI and Real Life Large Projects End to End Project - Classification Project - Forecast Bike Rentals Unsupervised Machine Learning Design & Constructs Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Introduction to DevOps and it's tools Understanding Computer Vision (Complimentary Lecture) Project - Churn Emails Inbox with Python Getting Started with Git Project - Noise removal from images Foundations of Python Artificial Neural Networks - MCQs Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Monitoring tools - Graffana and Prometheus Docker MCQs Artificial Neural Networks Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Image Stitching using OpenCV and Python (Creating Panorama Project) Convolutional Neural Networks Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project) Project - How to Build a Neural Network for Image Classification with TensorFlow Project - Training from Scratch vs Transfer Learning Project - Working with Custom Loss Function What's Next? Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection Open CV Project - How to Deploy an Image Classification Model using Flask Introduction to Artificial Intelligence, Machine Learning and Deep Learning References Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Convolutional Neural Network for NLP Specialization 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 Numpy Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Regression (Studio Recorded) End to End Project - Classification (Studio Recorded)