Training Calendar


AI-900 Microsoft Azure AI Fundamentals

2022-05-06T00:00 - 2022-05-06T24:00
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.

Data Driven Transformation with Google Cloud

2022-05-09T00:00 - 2022-05-09T24:00
Designed for leaders and business decision-makers, this course will help you explore opportunities the cloud can provide to transform your business. You’ll learn how cloud technology, data, and machine learning applications are helping businesses reimagine their daily work. You’ll uncover new possibilities in your data strategy and learn to think like a data engineer. You’ll also learn how to translate business challenges into machine learning use cases and vet them for feasibility and impact.

DA-100 Analyzing Data with Power BI (Azure)

2022-05-09T00:00 - 2022-05-12T24:00
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Big Data on AWS

2022-05-10T00:00 - 2022-05-12T24:00
In this course, you'll learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. You'll discover how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. The course also teaches you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security and cost-effectiveness.

Data Engineering on Google Cloud (1 day Condensed)

2022-05-10T00:00 - 2022-05-10T24:00
In the one-day condensed version of this four-day instructor-led class, participants will receive an introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to build data lakes and data warehouses as well as batch data pipelines. The course covers streaming data, Cloud Pub/Sub, and notebooks.

Building Data Analytics Solutions Using Amazon Redshift

2022-05-16T00:00 - 2022-05-16T24:00
In this course you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

Introduction to Biomedical Data Science in AWS (Custom)

2022-05-23T00:00 - 2022-05-23T24:00
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. Note-Formerly the Introduction to Life Science Tools on AWS.

DP-100 Designing & Implementing a Data Science Solution on Azure

2022-05-25T00:00 - 2022-05-27T24:00
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Deep Learning on AWS

2022-06-03T00:00 - 2022-06-03T24:00
In this one-day course, you'll learn cloud-based deep learning solutions on the AWS platform. You'll learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks. In addition, you'll learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS), all while designing intelligent systems on AWS.

The Machine Learning Pipeline on AWS

2022-06-06T00:00 - 2022-06-09T24:00
This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems-fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

2022-06-21T00:00 - 2022-06-23T24:00
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 Cloud Financial Management

2022-06-28T00:00 - 2022-06-29T24:00
In this course you will learn how finance professionals can use Amazon Web Services (AWS) to adopt cloud in a fiscally responsible manner. You will gain foundational knowledge to help you manage, optimize, and plan cloud spend. You will learn how to influence your organization’s builders to be more accountable and cost conscious. Finally, you will consider how you can use AWS to innovate in your finance organization.

Mini Course - Intro to Looker for Business Professionals

2022-06-27T10:00 - 2022-06-27T13:00
In this course you will learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. This includes being able to ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

How to Set Up a Virtual Private Cloud Network

2022-06-27T15:00 - 2022-06-27T18:00
This session focuses on a key task for Google Cloud projects - setting up a Virtual Private Cloud (VPC) network. The goal is to illustrate the key features and steps for implementation of a VPC, and then give participants hands-on experience

Mini Course - Google Cloud Networking

2022-06-28T10:00 - 2022-06-28T14:00
In this course you will learn the essential features of Google Cloud networking, including how to create and secure Virtual Private Cloud (VPC) networks for your projects. You will also learn how to interconnect your VPC networks between projects and with external networks. This course includes hands-on labs.

Cloud Storage Tasks

2022-06-28T16:00 - 2022-06-28T17:30
This interactive session covers the basic tasks for using Google Cloud Storage. The goal is to give participants hands-on experience in creating and deploying Cloud Storage buckets; and to understand the key options for security and management of Cloud Storage.

Mini Course - Intro to Google Cloud Security

2022-06-29T10:00 - 2022-06-29T13:00
This training course gives you a focused study of security controls and techniques in Google Cloud. You will explore and deploy the components of a secure Google Cloud solution, including Cloud Identity and encrypted storage using Key Management Systems.

Introduction to BigQuery

2022-06-29T14:00 - 2022-06-29T15:30
In this course you will learn the fundamentals of BigQuery. You will explore different tasks and challenges that data analysts encounter, including how to query large datasets in a matter of seconds, and how the features of BigQuery address these challenges.

How to Create and Deploy to Cloud Run

2022-06-29T16:30 - 2022-06-29T18:00
This interactive session walks through the choices and steps for implementing an application and deploying it to Google Cloud Run. The goal is to give participants hands-on experience in creating and deploying a serverless application; and to understand the effective uses for Cloud Run.

Fundamentals - Big Data/ML

2022-06-30T10:00 - 2022-06-30T18:00
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Fundamentals - Core Infra

2022-07-01T10:00 - 2022-07-01T18:00
Learn about, and compare, many of the computing and storage services available in Google Cloud, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, BigQuery, the Google Cloud Resource Manager hierarchy, and Google Cloud Identity and Access Management.