current course dates can be found at the bottom of this page … company training available on request!
Course description
The AWS Certified Developer – Associate exam validates technical expertise in developing and maintaining applications on the AWS platform. Join this half-day, intermediate-level workshop to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to developing on AWS and to specific areas to study. The workshop reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses.
Workshop objectives
In this course, you will learn to:
Navigate the logistics of the examination process.
Understand the exam structure and question types.
Identify how questions relate to AWS development concepts.
Interpret the concepts being tested by an exam question.
Allocate your time studying for the AWS Certified Developer – Associate exam
current course dates can be found at the bottom of this page … company training available on request!
Course description
The AWS Certifed SysOps Administrator – Associate exam validates technical expertise in deployment, management, security, and operations on the AWS platform. Join this half-day, intermediate-level bootcamp to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to SysOps on AWS and to specific areas to study. The bootcamp reviews sample exam questions in each topic area and teaches you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses.
Intended audience
This course is intended for:
System Administrators
System Operators
Prerequisites
We recommend that attendees of this course have:
At least one year of hands-on experience provisioning, operating, and maintaining systems running on AWS
current course dates can be found at the bottom of this page … company training available on request!
Course description
The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Join this full-day, advanced-level course to learn how to prepare for the exam by exploring the exam’s topic areas and how they map to DevOps on AWS and to specific areas to study. We will review sample exam questions in each topic area and teach you how to interpret the concepts being tested so that you can more easily eliminate incorrect responses. This course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small- and medium-sized business, and enterprise development scenarios.
Workshop objectives
In this course, you will learn to:
Prepare for the AWS Certified DevOps Engineer – Professional exam.
Implement and manage continuous delivery systems and methodologies on AWS.
Understand, implement, and automate security controls, governance processes, and compliance validation.
Define and deploy monitoring, metrics, and logging systems on AWS.
Implement systems that are highly available, scalable, and self-healing on the AWS platform.
Design, manage, and maintain tools to automate operational processes.
current course dates can be found at the bottom of this page … company training available on request!
Course description
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. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization.
Course objectives
In this course, you will learn to:
Recognize the common business and technical drivers for migrating to the cloud
Summarize the three phases of migration and associated objectives, tasks, and stakeholders
Describe AWS architecture, tools, and migration best practices
Distinguish the various cloud migration strategies and when each is most appropriate
Determine an organization’s application and server migration readiness
Discover a portfolio and gather data necessary for migration
Plan and design migration strategy for servers, applications and databases
Perform and validate application migration to the cloud
Optimize applications and operations after migrating to the cloud
Intended audience
This course is intended for:
Solutions architects
Software engineers
IT project managers
Operations leads
Other individuals involved in the planning and running of migration projects
Prerequisites
We recommend that attendees of this course have:
Familiarity with enterprise IT infrastructure (hardware and software)
Current course dates can be found at the bottom of this page… company training available on request!
COURSE DESCRIPTION
Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift. This course demonstrates how to ingest, store, and transform data in the data warehouse. Topics covered include: the purpose of Amazon Redshift, how Amazon Redshift addresses business and technical challenges, features and capabilities of Amazon Redshift, designing a Data Warehousing Solution on AWS by applying best practices based on the Well-Architected Framework, integration with AWS and non-AWS products and services, performance tuning, orchestration, and securing and monitoring Amazon Redshift.
COURSE OBJECTIVES
In this course, you will learn to:
Describe Amazon Redshift architecture and its roles in a modern data architecture
Design and implement a data warehouse in the cloud using Amazon Redshift
Identify and load data into an Amazon Redshift data warehouse from a variety of sources
Analyze data using SQL QEV2 notebooks
Design and implement a disaster recovery strategy for an Amazon Redshift data warehouse
Perform maintenance and performance tuning on an Amazon Redshift data warehouse
Secure and manage access to an Amazon Redshift data warehouse
Share data between multiple Redshift clusters in an organization
Orchestrate workflows in the data warehouse using AWS Step Functions state machines
Create an ML model and configure predictors using Amazon Redshift ML
You are currently viewing a placeholder content from HubSpot. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
