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Generative AI for Executives

Written by Annika Thiemann on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Generative AI for Executives

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 how to leverage generative artificial intelligence (AI) within your organization. We’ll cover how to drive business value with generative AI, the use cases across various industries, and the considerations to implement generative AI safely and responsibly. The goal of this course is to provide you with the fundamental concepts and tools you’ll need to successfully lead generative AI initiatives within your organization.

Course objectives

In this course, you will learn to:

  • Recognize the potential business value of generative AI

  • Identify real world use cases that you can implement today

  • Manage the people, process, and technology changes needed to be successful

  • Use generative AI safely and responsibly

  • Identify the specific steps you can take to get started with generative AI

Intended audience

This course is intended for experienced:

  • Executives and Senior Business Leaders

Prerequisites

  • None

Activities

This course includes:

  • Presentations
  • Group discussions

Course duration / Price

  • 0,5 days
  • € 395.00 (excl. tax) per person

Course outline

Modul 1: Introduction to Generative AI

  • Definitions and terminology
  • AWS approach to generative AI

Modul 2: Generative AI Use Cases

  • Common use cases
  • Real-world case studies

Modul 3: Overcoming Technical and Organizational Challenges

  • Security
  • Accuracy
  • Cost
  • People and culture

Modul 4: Implementation

  • Identifying your use case
  • Assessing data, technology, people, and processes
  • Evaluating business impact and scaling

Modul 5: Next Steps in Your Generative AI Journey

  • Next steps and additional resources
  • Course summary

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.

Neue Termine in Planung!

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Designing and Implementing Storage on AWS

Written by Annika Thiemann on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Designing and Implementing Storage on AWS

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

Course description

AWS offers a broad portfolio of storage services and solutions with diverse capabilities for storing, accessing, and protecting your data. In this course, you will learn where, how, and when to take advantage of these different service offerings. You will learn which services to consider when looking to solve your data storage challenges. You will learn how to best evaluate your options in selecting the appropriate AWS storage service to meet your use case and business requirements. You will also gain a better understanding of how to store, manage, and protect your data in the cloud. Through a series of hands-on exercises that demonstrate the ease and power of AWS platform, you will learn how to quickly provision powerful storage solutions in minutes.

Course objectives

In this course, you will learn to:

  • Describe the benefits of the core AWS storage services and identify some of their primary
    use cases

  • Select and design an appropriate storage solution according to application and business
    requirements

  • Configure storage resources to work with the broad array of AWS service offerings

  • Select the right method to move data between on-premises workloads and the AWS Cloud

  • Design storage solutions to protect data at rest and in transit

  • Set up monitoring and observability for Cloud storage to gain insight into access patterns,
    utilization, and efficiency

  • Design and optimize storage solutions according to cost, scalability, and performance
    requirements

Intended audience

This course is intended for:

  • Solutions Architects 

  • Cloud Storage Engineers 

  • Cloud Operations Specialists 

  • DevOps Engineers 

Prerequisites

We recommend that attendees of this course have:

Activities

This course includes:

  • Presentations
  • Hands-on labs
  • Demonstrations
  • Group exercises

Course duration / Price

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

Course outline

  • Day 1

    • Modul 1: Introduction to Cloud Storage

      • Storage in the AWS cloud

      • Designing Well Architected Storage Solutions

      • Designing Durable and Available Storage Solutions

      • Building Accessible and Secure Storage Solutions

    • Modul 2: Designing Object Storage Solutions in AWS  

      • What is object storage?

      • Planning and designing your Amazon S3 deployment

      • Managing Amazon S3

      • Access Control with Amazon S3

      • Hands-On Lab: Exploring S3 Access Control and S3 Object Lambda

    • Modul 3: Implementing Object Storage solutions with S3

      • Cost management and the data lifecycle

      • Managing data transfers into Amazon S3

      • Data protection in Amazon S3

      • Manage objects stored in Amazon S3 at scale

      • Hands-on Lab: Multi-Part Uploads, Batch Operations, and Cross-Region Replication with
        Amazon S3

    • Modul 4: Designing Block storage solutions in AWS  
      • Block storage fundamentals
      • Amazon Elastic Block Store (Amazon EBS)
      • Configuring EBS volume types
      • EC2 and EBS encryption

  • Day 2

    • Module 5: Implementing Block Storage Solutions with Amazon EBS

      • Creating EBS volumes

      • Managing EBS volumes

      • Managing EBS snapshots at scale

      • Hands-On Lab: Managing EBS Volumes: Capacity, Performance, and Data Protection

    • Modul 6: File Storage and Amazon EFS

      • Cloud-based file storage

      • Amazon EFS overview

      • Accessing Amazon EFS

      • Securing and protecting Amazon EFS file systems

      • Hands-On Lab: Using Amazon EFS with AWS Lambda and Amazon ECS

    • Modul  7: Cloud file storage with Amazon FSx  

      • Amazon FSx overview

      • Amazon FSx for Windows File Server

      • Amazon FSx for NetAPP ONTAP

      • Amazon FSx for OpenZFS

      • Amazon FSx for Lustre

      • Choosing an Amazon FSx service

      • Hands-On Lab: Working with FSx for NetApp ONTAP and FSx for OpenZFS

  • Day 3

    • Modul 8: Hybrid and Edge Cloud Storage

      • Hybrid and edge cloud storage overview

      • Introduction to AWS Storage Gateway

      • AWS Storage Gateway architectures

      • AWS Snow Family

    • Modul 9: Moving data to AWS 

      • Moving data to AWS

      • Working with AWS DataSync

      • Implementing AWS Transfer Family

      • Hands-On Lab: Moving Data with Storage Gateway and DataSync

    • Modul 10: Backup and Disaster Recovery with AWS   

      • Designing a data protection strategy

      • AWS Backup

      • Creating backup plans

      • Working with AWS DRS

      • Hands-On Lab: Creating and Restoring Backups with AWS Backup

    • Modul 11: Monitoring, Automating, and Optimizing your AWS Storage  

      • AWS Observability Services

      • Amazon S3 Storage Lens

      • Amazon CloudWatch

      • AWS CloudTrail

      • AWS Config

      • AWS Compute Optimizer

      • Hands-On Lab: Storage Monitoring, Automation, and Optimization

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.

Neue Termine in Planung!

Continue reading

Git Essentials

Written by Annika Thiemann on . Posted in tecRacer Trainings, Topseller, Training.

Git Essentials – Training

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

Course description

The version control system Git has become an integral part of the modern developer world. In our Git Essentials course, you will learn the basic concepts of Git and gain a comprehensive insight into how it works. This course will enable you to use Git efficiently both in your local development environment and in collaborative projects.

A particular focus of the course is on team collaboration. We will show you how you can use Git to optimize your development processes and improve workflows. Numerous live demos and practice-oriented exercises enable you to directly apply and deepen what you have learned.

Course objectives

In this course, you will learn:

  • how the basics of Git work.
  • how to set up Git and use basic commands.
  • how to inspect your Git configuration and working environment.
  • how to efficiently roll back or correct changes.
  • how to create and manage separate workspaces with branches.
  • how to synchronize changes with a remote repository.
  • how to perform merge operations and resolve conflicts.
  • how to use common Git workflows in your daily work.

Intended audience

This course is intended for:

  • Software developers: For developers who work in teams and want to make better use of Git or deepen their knowledge.
  • Project managers and team leaders: For those who want to understand version control in order to better manage projects.
  • DevOps and system administrators: For using Git in automated processes and infrastructure management.
  • Testers and QA engineers: For managing and testing different software versions with Git.

Activities

This course includes:

  • Training with instructor
  • Live demos
  • Practical labs

Course duration / Price

1 Day / € 750,00 plus VAT per person

Course outline

  • Introduction to Git
  • Concepts and basic commands
  • Checking and inspecting the Git environment.
  • Undoing changes
  • Isolate Git working environments
  • Synchronizing Git changes
  • Merge strategies and conflicts
  • Frequent Git workflows

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.

Amazon OpenSearch Service Essentials

Written by Annika Thiemann on . Posted in tecRacer Trainings, Topseller, Training.

Amazon OpenSearch Service Essentials

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

Course description

In the “Amazon OpenSearch Service” module of our “Cloud Essentials” course series, you will get to know the OpenSearch Service, a powerful search and analysis engine for various use cases such as advanced searches and log analyses. In one day of training, you will get a comprehensive overview of cluster deployment and management, data modeling, index design, data visualization with OpenSearch dashboards, and security features. Through numerous live demos and practical labs, you will gain your first hands-on experience with the OpenSearch service.

Course objectives

In this course, you will learn:

  • The basics of the Amazon OpenSearch Service
  • Understanding and using architecture and cluster setup
  • Operate OpenSearch with managed and serverless options
  • Use index design and data modeling effectively
  • Implement vector search, semantic search and sparse search as well as traditional BM25 search
  • Optimize searches and analyses, including filters, ranking and aggregations
  • Implement security policies
  • Create dashboards to visualize data
  • Apply best practices to optimize performance and security

Intended audience

This course is intended for:

  • People who need a powerful search solution for their applications
  • People who want to migrate their search and analytics workloads to AWS
  • DevOps engineers
  • Database and system administrators
  • Web developers who want to integrate advanced search capabilities into their applications

Activities

This course includes:

  • Training with instructor
  • Live demos
  • Practical labs

Course duration / Price

1 Day / € 750,00 plus VAT per person

Course outline

  • Introduction
  • OpenSearch architecture and concepts
  • Cluster setup and options (managed/serverless)
  • Index design and data structuring
  • Vector search, semantic search and sparse search as well as traditional BM25 search
  • Security options, scaling and performance optimization
  • Dashboards and visualization

 

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 Data Engineer – Associate

Written by Gemma Corrado on . Posted in AWS Training, Certifications, Training.

Who should take this exam?

AWS Certified Data Engineer – Associate is designed for those who have experience in data engineering and understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. You should also have hands-on experience with AWS services.

We recommend that you have the following knowledge before taking this exam:

  • Setup and maintenance of extract, transform, and load (ETL) pipelines from ingestion to destination
  • Application of high-level but language-agnostic programming concepts as required by the pipeline
  • How to use Git commands for source control
  • How to use data lakes to store data
  • General concepts for networking, storage, and compute
  • An understanding of the AWS services for encryption, governance, protection, and logging of all data that is part of data pipelines
  • The ability to compare AWS services to understand the cost, performance, and functional differences between services
  • How to structure SQL queries and how to run SQL queries on AWS services
  • An understanding of how to analyze data, verify data quality, and ensure data consistency by using AWS services

Prerequisites

The recommended experience prior to taking this exam is the equivalent of 2 to 3 years in data engineering or data architecture and at least 1 to 2 years of hands-on experience with AWS services.

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. Once you have obtained an AWS certification, you will receive a 50% discount on other AWS certification exams.