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.

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Migrating to AWS

2022-08-23T00:00
2022-08-23T00:00 - 2022-08-25T24:00
This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization.
AWS

SC-900 Microsoft Security, Compliance, and Identity Fundamentals

2022-08-26T00:00
2022-08-26T00:00 - 2022-08-26T24:00
This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.
Azure

Introduction to Biomedical Data Science in GCP

2022-08-29T00:00
2022-08-29T00:00 - 2022-08-29T24:00
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.
GCP

AWS Cloud Practitioner Essentials

2022-08-30T08:30
2022-08-30T08:30 - 2022-08-30T11:30
Focused on teaching business leaders and IT technical professionals the benefits of the AWS Cloud. We’ll cover a number of AWS services and how to use these services improve business processes while discussing security and compliance tools.
AWS

Introduction to Securing your AWS Cloud

2022-08-31T08:30
2022-08-31T08:30 - 2022-08-31T10:00
Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. An introduction to several AWS services that you can use to improve your current security posture, including different security design principles that will help you to plan your security approach on AWS and shares resources you can use to better understand security on AWS.
AWS

Machine Learning Basics

2022-08-31T13:00
2022-08-31T13:00 - 2022-08-31T14:30
In this session an AWS expert and demystify the basics of Machine Learning. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn to unlock new insights and business value with machine learning.
AWS

Strategies and Tools to Perform Large-Scale Migrations

2022-09-01T08:30
2022-09-01T08:30 - 2022-09-01T10:00
Learn about AWS strategy and best practices for performing large-scale cloud migrations. Built from the experiences of helping hundreds of enterprises move to the cloud, this event dives into proven techniques and tools to accelerate your successful journey to the AWS Cloud.
AWS

Fundamentals of a Modern Data Strategy on AWS

2022-09-01T13:00
2022-09-01T13:00 - 2022-09-01T14:30
You need a data strategy to succeed, but there’s no one-size fits all approach. Every organization will have unique objectives and obstacles. This event shares how to modernize, unify, and innovate your way to a modern data strategy with AWS.
AWS

Data Integration with Cloud Data Fusion

2022-09-08T00:00
2022-09-08T00:00 - 2022-09-09T24:00
In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.
GCP

DP-090 Implementing a Machine Learning Solution with Microsoft Azure Databricks

2022-09-09T00:00
2022-09-09T00:00 - 2022-09-09T24:00
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
Azure

Cloud Financial Management for Builders

2022-09-13T00:00
2022-09-13T00:00 - 2022-09-15T24:00
This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS.
AWS

PL-300 Microsoft Power BI Data Analyst

2022-09-14T00:00
2022-09-14T00:00 - 2022-09-16T24:00
This course will discuss various methods and best practices for modeling, visualizing, and analyzing data with Power BI as well as how to access and process data from a range of data sources including both relational and non-relational data. In addition, learners will explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups and discuss how to manage and deploy reports and dashboards for sharing and content distribution.
Azure

Introduction to Biomedical Data Science in Google Cloud

2022-09-23T00:00
2022-09-23T00:00 - 2022-09-23T24:00
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.
GCP

Introduction to Biomedical Data Science in AWS

2022-09-26T00:00
2022-09-26T00:00 - 2022-09-26T24:00
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.
AWS

Managing Machine Learning Projects

2022-09-28T00:00
2022-09-28T00:00 - 2022-09-29T24:00
In this course, you’ll explore machine learning without the technical jargon. You’ll learn how to translate business problems into custom machine learning use cases, assess each phase of the project, and translate the requirements to your technical team.
GCP
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