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AWS Certified Developer – Associate Workshop

AWS Certified Developer – Associate

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

Intended audience

This course is intended for:

This course is intended for developers who are preparing to take the AWS Certified Developer – Associate exam.

Prerequisites

We recommend that attendees of this course have:

  • One or more years of hands-on experience designing and maintaining an AWS based application
  • In-depth knowledge of at least one high-level programming language
  • Course taken: Developing on AWS (or equivalent knowledge)

Activities

This course includes:

  • Classroom training
  • Group discussion
  • Sample exercise questions

Note: There are no technical lab exercises in this workshop.

Course duration / Price

  • 1/2 day / € 750.00 (excl. tax) per person (DE)

Course outline

This course covers the following concepts:

  • Testing center information and expectations
  • Exam overview and structure
  • Content domains and question breakdown
  • Topics and concepts within content domains
  • Question structure and interpretation techniques
  • Practice exam questions

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

AWS Certified SysOps Administrator – Associate Workshop Details

AWS Certified SysOps Administrator – Associate

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
  • Course taken: Systems Operations on AWS (or equivalent knowledge)

Activities

This course includes:

  • Classroom training
  • Group discussion
  • Sample exercise questions

Course duration / Price

  • 1/2 day / € 750.00 (excl. tax) per person (DE)

Course outline

This course covers the following concepts:

  • Testing center information and expectations
  • Exam overview and structure
  • Content domains and question breakdown
  • Topics and concepts within content domains
  • Question structure and interpretation techniques
  • Practice exam questions

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

AWS Certified DevOps Engineer – Professional Workshop

AWS Certified DevOps Engineer – Professional

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.

Intended audience

This course is intended for:

  • DevOps engineers
  • Solutions architects
  • Systems administrators

Prerequisites

We recommend that attendees of this course have:

Activities

This course includes:

  • Classroom training
  • Group discussion
  • Sample exercise questions

Course duration / Price

  • 1 day / € 950.00 (excl. tax) per person (DE)

Course outline

This course covers the following concepts:

  • Testing center information and expectations
  • Exam overview and structure
  • Content domains and question breakdown
  • Topics and concepts within content domains
  • Question structure and interpretation techniques
  • Practice exam questions

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

Migrating to AWS Training

Migration to AWS Training

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:

Activities

This course includes:

  •  presentations
  • hands-on labs
  • demonstrations
  • assessments
  • group exercises

Course duration / Price

  • 3 days – € 1,995.00 (excl. tax) per person (DE)

Course outline

Day 1

Module 0: Introduction to Migrating to AWS

  • Course introduction

Module 1: What Is a Cloud Migration?

  • Summarize the drivers and desired outcomes of a cloud migration
  • Identify the elements of a successful migration journey
  • Describe the three-phase AWS migration process

Module 2: Assessing Migration Readiness

  • Summarize the activities and goals of the assess phase
  • Evaluate tools for assessing your organization’s cloud readiness
  • Describe Migration Readiness Assessments (MRAs) and their importance
  • Group Exercise: Assess cloud migration readiness with AWS Cloud Adoption Readiness Tool (CART)

Module 3: Preparing for a Migration and Understanding Related Workstreams

  • Summarize the mobilize phase of the process
  • Discuss the eight unique migration-related workstreams

Module 4: Discovering Landing Zones and Their Benefits

  • Explain the function of a landing zone
  • Discuss best practices for creating a custom landing zone
  • Describe how you would use AWS Control Tower to create a landing zone

Module 5: Building a Landing Zone

  • Summarize the process of building a landing zone
  • Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone
  • Demonstration: AWS Control Tower
  • Hands-On Lab: Connecting Your On-Premises Network and Directory Services to AWS

Module 6: Discovering the Portfolio and Understanding Migration Strategies

  • Explain the activities of the detailed portfolio discovery workstream
  • Describe how to assess an application’s migration readiness
  • Summarize the seven migration strategies
  • Group Exercise: Choose the best strategy (scenario-based)

Day 2

Module 7: Understanding and Choosing Portfolio Discovery Tools

  • Summarize the various discovery tools available
  • Distinguish which tools are best to use based on scenario
  • Hands-On Lab: Gathering Application Data Necessary for Migration

Module 8: Planning and Designing a Migration

  • Describe the planning and design process
  • Summarize how to set up a migration factory
  • Choose and finalize an application migration strategy

Module 9: Performing the Migration to AWS

  • Explain the server migration process
  • Discuss the various migration automation and governance tools available
  • Evaluate server migration tools for compatibility with your environment
  • Hands-On Lab: Migrating an Application to AWS

Module 10: Understanding Database and Data Migration Services

  • Summarize the significance of database and data migration
  • Discuss the various data migration tools available
  • Hands-On Lab: Migrating an Existing Database to Amazon Aurora

Day 3

Module 11: Understanding Additional Migration Support Options

  • Discuss additional migration support options
  • Summarize AWS Managed Services and AWS Marketplace
  • Describe SAP on AWS and services offered for Windows

Module 12: Integrating, Validating, and Cutting Over Applications

  • Discuss the process and benefits of integrating, validating, and cutting over applications

Module 13: Modernizing and Optimizing an Application Migration

  • Identify post-migration opportunities for modernization and optimization
  • Understand cost and security optimization processes
  • Explore tools available to support these processes
  • Hands-On Lab: Optimizing an Application with Amazon S3 and Amazon ECS

Module 14: Understanding Operations Tools, Integration Testing, and Automation

  • Summarize operations in the cloud
  • Discuss four functions of operations and their domains
  • Review operations automation and relevant support tools

Module 15: Migration Best Practices

  • Course review and key takeaways
  • Summarize and reinforce AWS best practices for migrating
  • Hands-On Lab: Automating Application Deployments

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

Data Warehousing on AWS


  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

  • Cert 200

Data Warehousing on AWS

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

INTENDED AUDIENCE

This course is intended for:

  • Data engineers
  • Data architects
  • Database architects
  • Database administrators
  • Database developers

PREREQUISITES

We recommend that attendees of this course have:

ACTIVITIES

This course includes:

  • presentations
  • hands-on labs
  • demonstrations

COURSE DURATION / PRICE

  • 3 days
  • € 2,685.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Data Warehouse Concepts
      • Modern data architecture
      • Introduction to the course story
      • Data warehousing with Amazon Redshift
      • Amazon Redshift Serverless architecture
      • Hands-On Lab: Launch and Configure an Amazon Redshift Serverless Data Warehouse
    • Module 2: Setting up Amazon Redshift
      • Data models for Amazon Redshift
      • Data management in Amazon Redshift
      • Managing permissions in Amazon Redshift
      • Hands-On Lab: Setting up a Data Warehouse using Amazon Redshift Serverless
    • Module 3: Loading Data
      • Overview of data sources
      • Loading data from Amazon Simple Storage Service (Amazon S3)
      • Extract, transform, and load (ETL) and extract, load, and transform (ELT)
      • Loading streaming data
      • Loading data from relational databases
      • Hands-On Lab: Populating the data warehouse
  • Day 2

    • Module 4: Deep Dive into SQL Query Editor v2 and Notebooks
      • Features of Amazon Redshift Query Editor v2
      • Demonstration: Using Amazon Redshift Query Editor v2
      • Advanced queries
      • Hands-On Lab: Data Wrangling on AWS
    • Module 5: Backup and Recovery
      • Disaster recovery
      • Backing up and restoring Amazon Redshift provisioned
      • Backing up and restoring Amazon Redshift Serverless
    • Module 6: Amazon Redshift Performance Tuning
      • Factors that impact query performance
      • Table maintenance and materialized views
      • Query analysis
      • Workload management
      • Tuning guidance
      • Amazon Redshift monitoring
      • Hands-On Lab: Performance Tuning the Data Warehouse
    • Module 7: Securing Amazon Redshift
      • Introduction to Amazon Redshift security and compliance
      • Authentication with Amazon Redshift
      • Access control with Amazon Redshift
      • Data encryption with Amazon Redshift
      • Auditing and compliance with Amazon Redshift
      • Hands-On Lab: Securing Amazon Redshiftmazon Redshift
  • Day 3

    • Module 8: Orchestration
      • Overview of data orchestration
      • Orchestration with AWS Step Functions
      • Orchestration with Amazon Managed Workflows for Apache Airflow (MWAA)
      • Hands-On Lab: Orchestrating the Data Warehouse Pipeline
    • Module 9: Amazon Redshift ML
      • Machine Learning Overview
      • Getting started with Amazon Redshift ML
      • Amazon Redshift ML workflow scenarios
      • Amazon Redshift ML Usage
      • Hands-On Lab: Predicting customer churn with Amazon Redshift ML
    • Module 10: Amazon Redshift Data Sharing
      • Overview of data sharing in Amazon Redshift
      • Amazon DataZone for Data as a service
    • Module 11: Wrap-Up
      • Hands-On Lab: End of course challenge lab

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our training. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
The course language is German, on request also in English.



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