16 Week Boot Camp reviewing the core ML concepts and learning how to scale and deploy models and ending with an industry sponsored capstone project and presentation. Tools used: ML Deployment with Flask, FastApi, AWS Sagemaker and Ec2 instances, ML deployment on PaaS (Heroku on AWS, AWS Beanstalk) vs Iaas (AWS Elastic computing or Ec2), Python, Tensorflow, Keras, pandas, scikit-learn, Pillow, OpenCV, Matplotlib.
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View Code? Open in Web Editor NEW16 Week Boot Camp reviewing the core ML concepts and learning how to scale and deploy models and ending with an industry sponsored capstone project and presentation. Tools used: ML Deployment with Flask, FastApi, AWS Sagemaker and Ec2 instances, ML deployment on PaaS (Heroku on AWS, AWS Beanstalk) vs Iaas (AWS Elastic computing or Ec2), Python, Tensorflow, Keras, pandas, scikit-learn, Pillow, OpenCV, Matplotlib.