Free Download Deploy Machine Learning Models on GCP + AWS Lambda (Docker), with this course you will have the option to How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud. It contains 53 recordings. Remember that numerous understudies are tried out this course Deploy Machine Learning Models on GCP + AWS Lambda (Docker), so don't hold on to download it presently, it's totally free. You can start learning Deploy Machine Learning Models on GCP + AWS Lambda (Docker) by clicking the download link below.
Before you can start learning from this course explained in English (US) you need to have Basics of Python Programming, Basic knowledge of Web development.
Deploy Machine Learning Models on GCP + AWS Lambda (Docker) is targeting for people that have interset in Anyone who knows ML and want to move towards Model deployment, Anyone who want to know how to put Machine Learning app into production.
Finally you will learn how to Model Deployment Process, Different option available for Model Deployment, Deploy Scikit-learn, Tensorflow 20 Model with Flask Web Framework, Deploy Model on Google cloud function, App engine, Serve model through Google AI Platform, Run Prediction API on Heroku Cloud, Serialize and Deserialize model through Scikit-learn and Tensorflow, Deploying model on Amazon AWS Lambda, Install Flower prediction model with Docker, Deploy Docker Container on Amazon Container Services (ECS).