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New on Cloud Academy: Machine Learning on Google Cloud and AWS, Big Data Analytics, Terraform, and more

A 2017 IDC White Paper “recommend[s] that organizations that want to get the most out of cloud should train a wide range of stakeholders on cloud fundamentals and provide deep training to key technical teams” (emphasis ours). Regular readers of the Cloud Academy blog know we’ve been talking about this for a long time. Future-proofing your organization requires technical excellence, collective experience, business context, and shared understanding. In a word, culture.

Cloud Academy’s latest Learning Paths go broad and deep—covering CI/CD, machine learning, AI, big data, and even preparation for the first AWS certification designed for non-technical staff.

Here’s what’s new on Cloud Academy:

Solving Infrastructure Challenges with Terraform
DevOps and IT professionals managing infrastructure across public, private, and hybrid clouds can use this learning path to get started with Terraform. You’ll learn when to use it, the ins and outs of configurations, and how to work with providers and resources.
Solving Infrastructure Challenges with Terraform

Applying Machine Learning and AI Services on AWS
This learning path will help those with some machine learning experience to begin applying core Machine Learning and Artificial Intelligence services available on the AWS platform including Amazon Rekognition, Amazon Lex, Amazon EMR, and more.
Applying Machine Learning and AI Services on AWS

Machine Learning on Google Cloud Platform
Neural networks are the hottest approach to machine learning, and TensorFlow is the most popular toolkit for building them. Both come together on Google Cloud Machine Learning Engine. This learning path will help you get started building and training neural networks with TensorFlow and Google Cloud Machine Learning Engine.
Machine Learning on Google Cloud Platform

AWS Developer Services for CI/CD
AWS developer tools and services take much of the undifferentiated heavy lifting out of building a DevOps practice with a structured CI/CD process. This learning path focuses on the practical and hands-on knowledge teams need to understand, operate, and master running DevOps processes on AWS Developer Services.
AWS Developer Services for CI/CD
Cloud Practitioner Certification Preparation for AWS
For sales, marketing, finance, and other non-tech roles, this learning path trains the cloud basics and the most important AWS products from a business perspective, including hands-on experience in compute, storage, databases, and networking.
Cloud Practitioner Certification Preparation for AWS
Big Data Analytics on Azure
Azure’s robust services make it easy and cost-effectivee to incorporate big data analysis into your cloud applications. This learning path focuses on getting your team up to speed using two key Azure services: Data Lake Analytics and Stream Analytics.
Big Data Analytics on Azure

What’s Next?

Assign these Learning Paths with a Training Plan, customize them with Content Engine, or stop by our booth at AWS Summit London on May 9-10 to discuss how you can use all three to power your teams up the cloud capability curve.
Explore all of our learning paths, courses, and hands-on labs in the Cloud Academy Content Library.

Written by

Cloud Academy Team

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