In our last post on deploying a machine learning pipeline in the cloud, we demonstrated how to develop a machine learning pipeline in PyCaret, containerize it with Docker and serve it as a web application using Google Kubernetes Engine. If you haven't heard about PyCaret before, please read this announcement to learn more. In this tutorial, we will use the same machine learning pipeline and Flask app that we built and deployed previously. This time we will demonstrate how to containerize and deploy a machine learning pipeline serverless using AWS Fargate. This tutorial will cover the entire workflow starting from building a docker image locally, uploading it onto Amazon Elastic Container Registry, creating a cluster and then defining and executing task using AWS-managed infrastructure i.e.

If there's a silver lining to social distancing, it's the fact that it gives us a chance to catch up on content we otherwise might have missed. There are always too many sessions to attend at cloud conferences -- from service introductions and updates to best practices and use cases -- that could change the way you use cloud technologies. The global health crisis has made it unlikely any of us will gather for a conference in 2020. Given the dangers of COVID-19, it seems unwise for thousands of professionals from around the world to gather in a crowded convention center. While the in-person conference experience is off the table for the near future, there are plenty of resources still available to review from cloud conferences over the past year.

Are you looking for the Best Edureka Free Courses 2020? This Online Courses list contains the Best Edureka Tutorial, Classes, and Certification. Edureka is an online technical training platform that offers Big Data, cloud computing, artificial intelligence, and blockchain-based courses. It has 2,487 followers on Owler. The classes can be attended to at any place and any time as per your choice Use our Android and iOS App to learn on the go.

We can enable this toolkit by importing the mplot3d library, which comes with your standard Matplotlib installation via pip. Just be sure that your Matplotlib version is over 1.0. Now that our axes are created we can start plotting in 3D. This course is ranges for a beginner to an expert data scientist that want to learn how to visualize the data in 3 dimensions space, with the popular data visualization library Matplotlib. There is absolutely no pre knowledge requirement for this course.

TensorFlow has become the first choice for deep learning tasks because of the way it facilitates building powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction. This course shows you how to use Google Cloud to train TensorFlow models and use them to predict results for multiple users. You will learn to efficiently train neural networks using large datasets and to serve your training models. With this video course, you will use the power of Google's Cloud Platform to train deep neural networks faster.

This webinar will help you understand the benefits and process to create a file inventory: • Cloud vendors are now charging based on storage used, storage is no longer cheap • Successful cloud migrations require planning and file cleanup • Creating a file inventory will help evaluate and choose those files that should be migrated to the cloud • DocAuthority's Data Evolutional Artificial Intelligence (AI) automates the discovery, collection and categorization of documents into well-defined business categories, eliminating reliance on end-user

The AWS Certified Advanced Networking Official Study Guide – Specialty Exam helps to ensure your preparation for the AWS Certified Advanced Networking – Specialty Exam. Expert review of AWS fundamentals align with the exam objectives, and detailed explanations of key exam topics merge with real-world scenarios to help you build the robust knowledge base you need to succeed on the exam--and in the field as an AWS Certified Networking specialist. Coverage includes the design, implementation, and deployment of cloud-based solutions; core AWS services implementation and knowledge of architectural best practices; AWS service architecture design and maintenance; networking automation; and more. You also get one year of free access to Sybex's online interactive learning environment and study tools, which features flashcards, a glossary, chapter tests, practice exams, and a test bank to help you track your progress and gauge your readiness as exam day grows near. The exam assumes existing competency with advanced networking tasks, and assesses your ability to apply deep technical knowledge to the design and implementation of AWS services.

In the next section of video #4, "Cloud & Data Metamorphosis, Part 4" I'll cover the following:

This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities.

Get training from the official chapter of Google, a $55 value lab subscription. Complete all labs in the quest and earn a Google-hosted badge.