Training Calendar

Please be advised: A one-week notice is now required for cancellations of registered courses, as a consideration for other individuals who may wish to attend. If a cancellation is not processed before the one-week cut off, individuals will need to contact STRIDES Training to provide a reason for the cancellation and be removed. If you are a “No Show” or do not provide a “Reason” for not attending a course for which you are registered, you will not be allowed to enroll in future courses for 6 months.


AWS Technical Essentials

2023-01-27T00:00 - 2023-01-27T24:00
This course introduces you to AWS services and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS.

AWS Security Essentials

2023-02-01T00:00 - 22023-02-01T24:00
AWS Security Essentials covers fundamental AWS Cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, this course teaches where in the AWS Cloud you are responsible for implementing security. You’ll also learn what security-oriented services are available to you, as well as why and how the security services can help meet the security needs of your organization.

AZ-900 Microsoft Azure Fundamentals

2023-02-09T00:00 - 2023-02-09T24:00
This one-day course will provide foundational level knowledge on Azure concepts; core Azure services; core solutions and management tools; general security and network security; governance, privacy, and compliance features; Azure cost management and service level agreements.

Running Containers on Amazon EKS

2023-02-14T00:00 - 2023-02-16T24:00
Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS.

AWS Security Best Practices

2023-02-22T00:00 - 2023-02-22T24:00
AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise

AI-900 Microsoft Azure AI Fundamentals

2023-02-23T00:00 - 2023-02-23T24:00
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Introduction to Biomedical Data Science in AWS

2023-03-01T00:00 - 2023-03-01T24:00
In this course you will be introduced to several AWS tools and capabilities for Healthcare and Life Sciences that enable you to process biomedical data at scale, allowing you to focus on analyzing data and reproducing results while AWS manages the underlying infrastructure. The course will focus on using Jupyter notebooks as the primary interface with the console as the secondary interface. You will be introduced to the AWS cloud infrastructure, learn how to move and manage data with Amazon S3, query and prepare NIH SRA data with AWS Athena, and use AWS SageMaker for ML models.

Planning & Designing Databases on AWS

2023-03-07T00:00 - 2023-03-09T24:00
In this course, you will learn the design considerations for hosting databases on Amazon EC2, and the process of planning and designing both relational and nonrelational databases. By the end of this course, you will be familiar with the planning and design requirements of all eight AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads. Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB.

GCP Fundamentals - Big Data & Machine Learning

2023-01-30T00:00 - 2023-01-30T24:00
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

Getting Started with Google Kubernetes Engine

2023-02-06T00:00 - 2023-02-06T24:00
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You’ll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

Machine Learning on Google Cloud

2023-03-08T00:00 - 2023-03-10T24:00
This course teaches learners best practices to implement machine learning on Google Cloud, how to determine appropriate data preprocessing options, use Vertex AI Feature Store for data management, and build Vertex AI AutoML and BigQuery ML models. Students learn to use feature engineering to improve ML model performance, create Vertex AI custom training jobs, write distributed ML models that scale in TensorFlow, and more.

Architecting Hybrid Cloud Infrastructure with Anthos

2023-02-27T00:00 - 2023-02-28T24:00
This course prepares students to modernize, manage, and observe their containerized applications using Kubernetes, in Google Cloud, AWS, Azure, and on-premises. Through presentations and hands-on labs, participants explore Google Kubernetes Engine (GKE), Connect Agent, Anthos Service Mesh, and Anthos Config Management features. Participants learn how to work with containerized applications even when split between multiple clusters, hosted by multiple cloud providers or on-premises.

Introduction to Biomedical Data Science in Google Cloud

2023-03-20T00:00 - 2023-03-20T24:00
In this course you will be introduced to Google Cloud Life Sciences, allowing you to process biomedical data at scale and focusing on analyzing data and reproducing results while Google manages the underlying infrastructure. This course covers getting started with Google Cloud, sharing data with BigQuery and Cloud Storage, taking a container to production, running nextflow pipelines, running query analysis on publicly available datasets such as NIH SRA data, using AI Platform Notebooks, use machine learning APIs on a NCBI molecular dataset, and preparing and analyzing genomic data with Variant Transforms Tool and Cloud Dataflow.