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AWS Certified SysOps Administrator – Associate

Who should take this exam?

AWS Certified SysOps Administrator – Associate is a great starting point on the AWS Certification path for individuals who may have any of the following:

  • Experience working in a systems administrator role
  • Experience in AWS technology
  • Strong on-premises IT experience and understanding of mapping on-premises to cloud
  • Experience working in other cloud services

Prerequisites

To earn this certification, you’ll need to take and pass the AWS Certified SysOps Administrator – Associate exam. The exam features a combination of three possible question formats, including multiple choice, multiple response, and exam labs. Exam labs allow you to showcase your skills by building solutions using the AWS Management Console and AWS Command Line Interface (CLI). Additional information, such as the exam content outline and passing score, is in the exam guide.

Recommended Training

Recertification

AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.

Recertification for Associate certifications

take the Associate exam

You can take the Associate exam for the certification you already hold. So, for example, if you are an AWS Certified Solutions Architect – Associate, you can take the current AWS Certified Solutions Architect – Associate exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you wish to take.

Taking the Professional Certification Exam

You can also meet the recertification requirements by taking either the AWS Certified Solutions Architect – Professional exam for the architecture path or the AWS Certified DevOps Engineer – Professional exam for the development or operations path. So, for example, if you pass the AWS Certified Solutions Architect – Associate exam, that satisfies the AWS Certified Solutions Architect – Associate recertification requirements.

AWS Certified Solutions Architect – Associate

Who should take this exam?

AWS Certified Solutions Architect – Associate is a great starting point on the AWS Certification path for individuals who may have any of the following:

  • Experience in AWS technology
  • Strong on-premises IT experience and understanding of mapping on-premises to cloud
  • Experience working in other cloud services

Prerequisites

To earn this certification, you’ll need to take and pass the AWS Certified Solutions Architect – Associate exam. The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as the exam content outline and passing score, is in the exam guide.

Test

AWS Certified Solutions Architect – Associate

Recertification

AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.

Recertification for Associate certifications

take the Associate exam

You can take the Associate exam for the certification you already hold. So, for example, if you are an AWS Certified Solutions Architect – Associate, you can take the current AWS Certified Solutions Architect – Associate exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you wish to take.

Taking the Professional Certification Exam

You can also meet the recertification requirements by taking either the AWS Certified Solutions Architect – Professional exam for the architecture path or the AWS Certified DevOps Engineer – Professional exam for the development or operations path. So, for example, if you pass the AWS Certified Solutions Architect – Associate exam, that satisfies the AWS Certified Solutions Architect – Associate recertification requirements.

AWS Certified Cloud Practitioner

Who should take this exam?

This certification is intended for candidates who may be:

  • From a non-IT background and exploring a career in the AWS Cloud
  • In sales/marketing/business analyst roles looking to communicate more effectively with stakeholders and customers about the AWS Cloud
  • In on-premises IT or cloud roles, but new to AWS Cloud, and need a primer before diving into role-based AWS Certification(s)

Prerequisites

To earn this certification, you will need to take and pass the AWS Certified Cloud Practitioner exam. The exam features a combination of two question formats: multiple choice and multiple response. Additional information, such as a detailed exam content outline, is in the exam guide.

Recommended Training

Test

AWS Certified Cloud Practitioner exam

Recertification

AWS Certifications are valid for three years. To maintain your AWS Certified status, we require you to periodically demonstrate your continued expertise though a process called recertification. Recertification helps strengthen the overall value of your AWS Certification and shows individuals and employers that your credential covers the latest AWS knowledge, skills, and best practices.

Recertification for Foundational-Certification

Take the “Cloud Practitioner” exam

You can take the current AWS Certified Cloud Practitioner exam for recertification. You can use your 50% discount voucher from the Benefits section of your AWS Certification account to re-certify, or use it for any future certification exams you want to take.

Obtain an Associate or Professional certification

You can fulfill the recertification requirement by taking any Associate or Professional exam.

Operations on Kubernetes

Operations on Kubernetes

current course dates can be found at the bottom of this page … company training available on request!

Course description

Are you planning to run your container workloads in a cloud-based Kubernetes environment in the future? Have you recently been tasked with operating an EKS cluster and would now like to acquire the necessary know-how? Are you an experienced DevOps engineer looking to make the transition to the AWS cloud? Then “Operations on Kubernetes” is the right choice!

This course focuses on the operation of Kubernetes clusters and the associated AWS infrastructure. Through a mixture of theory and practice, we will convey content in a lasting manner and offer you the opportunity to put what you have learned into practice immediately.

Course objectives

  • Brush up on basic Kubernetes concepts
  • Learn advanced concepts such as RBAC, Ingress Controller, etc.
  • Familiarize with basic Kubernetes commands
  • Recognize and analyze key metrics
  • Identify and rectify disruptions in a systematic manner
  • Confidently perform Kubernetes cluster upgrades on Amazon EKS
  • Gain familiarity with common Kubernetes tooling

INTENDED AUDIENCE

This course is intended for:

  • People who plan to run their Kubernetes workloads on the Elastic Kubernetes Service (EKS) in the future
  • DevOps Engineers
  • System/Operations administrators

Prerequisites

We recommend that attendees of this course have:

  • Basic understanding of general networking concepts and multi-tier architectures
  • Basic understanding of container runtimes (Docker, containerd, etc.)
  • Basic understanding of container orchestration (Kubernetes, Docker Swarm, etc.)
  • Knowledge in the administration of microservices (git, bash, YAML/JSON, common text editors)
  • (Optional) Basic knowledge of AWS services (VPC, EC2, S3) is an advantage

Activities

This course includes:

  • Instructor-led training
  • Live demos
  • Group discussions
  • Practical labs
  • Real-world troubleshooting scenarios

Course duration / Price

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

Course outline

Day 1

  • Introduction to Kubernetes
  • Kubernetes basics
  • Kubernetes controllers (Deployment, DaemonSet, ReplicaSet, etc.)
  • Role-based access control (RBAC)
  • Kubernetes services
  • Resource consumption
  • Storage
  • Advanced Kubernetes

Day 2

  • Troubleshooting Basics
  • Key Metrics & Health Indicators
  • Common errors in connection with Kubernetes Pods
  • Common errors related to Kubernetes nodes
  • Log analysis
  • Practical troubleshooting scenarios
  • Kubernetes Failure Stories

Day 3

  • Versioning in the Kubernetes project
  • EKS cluster upgrade process
  • Tooling related to Kubernetes (Helm/Kustomize, K9s, kubectl, etc.)

 

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

The course materials are available in English.
The course language is German, but the course can also be held in English on request.

Building Streaming Data Analytics Solutions on AWS

Building Streaming Data Analytics Solutions on AWS

current course dates can be found at the bottom of this page … company training available on request!

Course description

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

 

Course objectives

In this course, you will learn to:

  • Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
  • Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure streaming data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Intended audience

This course is intended for:

  • Data engineers and architects
  • Developers who want to build and manage real-time applications and streaming data analytics solutions

Prerequisites

We recommend that attendees of this course have:

  • At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for
    those that need a refresher on streaming concepts.
  • Completed either Architecting on AWS or Data Analytics Fundamentals
  • Completed Building Data Lakes on AWS

Activities

This course includes:

  • presentations
  • practice labs
  • discussions
  • class exercises

Course duration / Price

  • 1 Day
  • € 750.00 (excl. tax) per person (DE)

Course outline

This course covers the following concepts:

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Module 1: Using Streaming Services in the Data Analytics Pipeline

  • The importance of streaming data analytics
  • The streaming data analytics pipeline
  • Streaming concepts

Module 2: Introduction to AWS Streaming Services

  • Streaming data services in AWS
  • Amazon Kinesis in analytics solutions
  • Demonstration: Explore Amazon Kinesis Data Streams
  • Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
  • Using Amazon Kinesis Data Analytics
  • Introduction to Amazon MSK
  • Overview of Spark Streaming

Module 3: Using Amazon Kinesis for Real-time Data Analytics

  • Exploring Amazon Kinesis using a clickstream workload
  • Creating Kinesis data and delivery streams
  • Demonstration: Understanding producers and consumers
  • Building stream producers
  • Building stream consumers
  • Building and deploying Flink applications in Kinesis Data Analytics
  • Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
  • Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis

  • Optimize Amazon Kinesis to gain actionable business insights
  • Security and monitoring best practices

Module 5: Using Amazon MSK in Streaming Data Analytics Solutions

  • Use cases for Amazon MSK
  • Creating MSK clusters
  • Demonstration: Provisioning an MSK Cluster
  • Ingesting data into Amazon MSK
  • Practice Lab: Introduction to access control with Amazon MSK
  • Transforming and processing in Amazon MSK

Module 6: Securing, Monitoring, and Optimizing Amazon MSK

  • Optimizing Amazon MSK
  • Demonstration: Scaling up Amazon MSK storage
  • Practice Lab: Amazon MSK streaming pipeline and application deployment
  • Security and monitoring
  • Demonstration: Monitoring an MSK cluster

Module 7: Designing Streaming Data Analytics Solutions

  • Use case review
  • Class Exercise: Designing a streaming data analytics workflow

Module B: Developing Modern Data Architectures on AWS

  • Modern data architectures

 

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.