current course dates can be found at the bottom of this page … company training available on request!
Course description
The Running Container-Enabled Microservices on AWS course is designed to show you how to manage and scale container-enabled applications using Amazon EC2 Container Service (ECS). The course highlights the challenges of custom applications running on containers and provides a guide to building and using Amazon ECS to develop and deploy microservices-based applications running on containers. In the hands-on exercises, you will use Amazon ECS to handle long-running services, create and deploy container images, connect services, and scale capacity to meet demand. This bootcamp will also discuss how to run container for asynchronous application processes.
Course objectives
In this course, you will learn to:
Developing a microservices-based architecture with containers
Using Amazon ECS to Run and Scale a Microservices-Based Application
Integrating Amazon ECS with Other AWS Services
Intended audience
This course is intended for:
Developers
System administrators
Solution architects
Prerequisites
We recommend that attendees of this course have:
Basic knowledge of key AWS services and features.
Practical knowledge of how to run container-based applications
Activities
This course includes:
Training with instructor
Practical exercises
Course duration / Price
1 day / € 750.00 (excl. tax) per person (DE)
Course outline
This course covers the following concepts:
Overview of containers in AWS
Introduction to microservices-based architecture in AWS
Scaling container-based applications
Integrating Amazon ECS with other AWS services
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, language of the trainer is German.
current course dates can be found at the bottom of this page … company training available on request!
Course description
This course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization.
Course objectives
In this course, you will learn to:
Assimilate Identify security benefits and responsibilities of using the AWS Cloud
Describe the access control and management features of AWS
Explain the available methods for providing encryption of data in transit and data at rest when storing your data in AWS.
Describe how to secure network access to your AWS resources
Determine which AWS services can be used for monitoring and incident response
Intended audience
This course is intended for:
Security IT business-level professionals interested in cloud security practices
Security professionals with minimal to no working knowledge of AWS
Prerequisites
We recommend that attendees of this course have:
Working knowledge of IT security practices and infrastructure concepts, familiarity with cloud computing concepts
Activities
This course includes:
presentations
hands-on labs
Course duration / Price
1 Day
€ 895.00 (excl. tax) per person (DE)
CHF 900.00 (excl. tax) per person (CH)
Course outline
This course covers the following concepts:
Module 1: Security on AWS
Security design principles in the AWS Cloud
AWS Shared Responsibility Model
Module 2: Security OF the Cloud
AWS Global Infrastructure
Data center security
Compliance and governance
Module 3: Security IN the Cloud – Part 1
Identity and access management
Data protection essentials
Lab 01 – Introduction to security policies
Module 4: Security IN the Cloud – Part 2
Securing your infrastructure
Monitoring and detective controls
Lab 02 – Securing VPC resources with Security Groups
Module 5: Security IN the Cloud – Part 3
DDoS mitigation
Incident response essentials
Lab 03 – Remediating issues with AWS Config Conformance Packs
Module 6: Course Wrap Up
AWS Well-Architected tool overview
Next Steps
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.
current course dates can be found at the bottom of this page … company training available on request!
Course description
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data, model, and code to successful ML deployments. It will demonstrate the use of tools, automation, processes, and teamwork in addressing the challenges associated with handoffs between data engineers, data scientists, software developers, and operations. The course will also discuss the use of tools and processes to monitor and take action when the model prediction in production starts to drift from agreed-upon key performance
indicators.
The instructor will encourage the participants in this course to build an MLOps action plan for their organization through daily reflection of lesson and lab content, and through conversations with peers and instructors.
Course objectives
In this course, you will learn to:
Describe machine learning operations
Understand the key differences between DevOps and MLOps
Describe the machine learning workflow
Discuss the importance of communications in MLOps
Explain end-to-end options for automation of ML workflows
List key Amazon SageMaker features for MLOps automation
Build an automated ML process that builds, trains, tests, and deploys models
Build an automated ML process that retrains the model based on change(s) to the model code
Identify elements and important steps in the deployment process
Describe items that might be included in a model package, and their use in training or inference
Recognize Amazon SageMaker options for selecting models for deployment, including support for ML frameworks and built-in algorithms or bring-your-own-models
Differentiate scaling in machine learning from scaling in other applications
Determine when to use different approaches to inference
Discuss deployment strategies, benefits, challenges, and typical use cases
Describe the challenges when deploying machine learning to edge devices
Recognize important Amazon SageMaker features that are relevant to deployment and inference
Describe why monitoring is important
Detect data drifts in the underlying input data
Demonstrate how to monitor ML models for bias
Explain how to monitor model resource consumption and latency
Discuss how to integrate human-in-the-loop reviews of model results in production
Intended audience
This course is intended for:
DevOps Engineers
ML Engineers
Developers/operations with responsibility for operationalizing ML models
current course dates can be found at the bottom of this page … company training available on request!
Course description
This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.
Course objectives
In this course, you will learn to:
Explain the role of information technology (IT) in an organization for business transformation
Explain the customer value proposition for using the cloud across industries
Define key characteristics of cloud computing
Explain the cloud business model
Identify key security practices of cloud computing
Frame the cloud business value using the Cloud Value Framework
Intended audience
This course is intended for:
Line of Business (LoB) owners and executives
Prerequisites
We recommend that attendees of this course have:
No prior IT experience or cloud experience is required.
Activities
This course includes:
Training with instructor
Practical exercises
Course duration / Price
4 hours / € 750.00 (excl. tax) per person (DE)
Course outline
Module 1: Course Introduction
Module 2: Information Technology for Business Transformation
Role of IT in an organization for business transformation
Brief history of IT
Legacy approach to IT
What drives customers to move from traditional infrastructure to the cloud
Module 3: Cloud Computing
Define cloud computing
Key characteristics of cloud technology
The cloud business model
Key security practices within the cloud
Module 4: Business Value of the Cloud
The customer value proposition
Identify who is using cloud computing
Industry trends
Customer examples
Module 5: The Cloud Value Framework
Introduction to the Cloud Value Framework
Cost Savings
Staff Productivity
Operational Resilience
Business Agility
Module 6: Business Value Activity
Using a fictional customer case study, we review and apply lessons learned from the course
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 Cloud Essentials for Business Leaders – Financial Services
current course dates can be found at the bottom of this page … company training available on request!
Course description
This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. In this half-day, instructor-led course, you’ll explore the possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.
Course objectives
In this course, you will learn to:
Explain the role of information technology (IT) in an organization for business transformation
Explain the customer value proposition for using the cloud in the financial services industry (FSI)
Define key characteristics of cloud computing
Explain the cloud business model
Identify key Financial Services Industry (FSI) security practices of cloud computing
Frame the cloud business value using the Cloud Value Framework
Intended audience
This course is intended for:
Line of business (LOB) owners and executives
Prerequisites
We recommend that attendees of this course have:
No prior IT experience or cloud experience is required
Activities
This course includes:
Training with instructor
Practical exercises
Kursdauer / Preis
4 hours / € 750.00 (excl. tax) per person (DE)
Course outline
Module 1: Course Introduction
Module 2: Information Technology for Business Transformation
Role of IT in an organization for business transformation
Brief history of IT
Legacy approach to IT
What drives customers to move from traditional infrastructure to the cloud
Module 3: Cloud Computing
Define cloud computing
Key characteristics of cloud technology
The cloud business model
Key FIS security practices within the cloud
Module 4: Business Value of the Cloud
The customer value proposition
Identify who is using cloud computing
Industry trends
Customer examples
Module 5: The Cloud Value Framework
Introduction to the Cloud Value Framework
Cost Savings
Staff Productivity
Operational Resilience
Business Agility
Module 6: Business Value Activity
Using a fictional customer case study, we review and apply lessons learned from the course
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.
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