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Microsoft Cloud

Microsoft Cloud Workshops

AWS

• Get started using AWS
Get an introduction to cloud computing and AWS.

* AWS Technical Essentials (AWSE)
* AWS Business Essentials (AWSBE)
* AWS Cloud Practitioner Essentials (CP-ESS)

• AWS System Architecture
Learn to design applications and systems.

* Architecting on AWS (AWSA)
* Advanced Architecting on AWS (AWSAA)
* AWS Certified Solutions Architect - Professional Certification Workshop (ACSAP)
* Architecting on AWS Accelerator (ARCH-AX)
* Planning and Designing Databases on AWS (PD-DB)

• AWS Development
Learn to develop cloud applications.

* Developing on AWS (AWSD)
* DevOps Engineering on AWS (AWSDEVOPS)

• AWS Operations
Learn to create automatable and repeatable deployments of applications, networks, and systems.

* Systems Operations on AWS (AWSSYS)
* DevOps Engineering on AWS (AWSDEVOPS)

• AWS Specialization
Gain knowledge about AWS security services or big data solutions.

* Security Engineering on AWS (AWSSO)
* Big Data on AWS (BDAWS)
* Migrating to AWS (AWSM)
* Deep Learning on AWS (AWSDL)
* Practical Data Science with Amazon SageMaker (PDSASM)

• AWS Serverless
Gain knowledge about Serverless AWS services.

* Building a Serverless Data Lake on AWS (BSDL)

Google Cloud

• Cloud Infrastructure Track
Designed for IT professionals who are responsible for implementing, deploying, migrating and maintaining applications in the cloud.

* Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
* Architecting with Google Cloud Platform: Design and Process (AGCP-DP)
* Getting Started with Google Kubernetes Engine (GCP-GSGKE)
* Google Cloud Platform Fundamentals for AWS Professionals (GCP-FAP)
* Networking in Google Cloud Platform (NGCP)
* Security in Google Cloud Platform (SGCP)
* Architecting with Google Compute Engine (AGCE)

• Data & Machine Learning Track
Designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions.

* Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
* Data Engineering on Google Cloud Platform (DEGCP)
* From Data to Insights with Google Cloud Platform (DIGCP)
* Machine Learning with TensorFlow on Google Cloud Platform (MLTF)

• Application Development Track
Designed for application programmers and software engineers who develop software programs in the cloud.

* Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
* Developing Applications with Google Cloud Platform (DAGCP)
* Getting Started with Google Kubernetes Engine (GCP-GSGKE)
* Architecting with Google Kubernetes Engine (AGKE)