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Amazon SageMaker Studio for Data Scientists


  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Networking Essentials for Cloud Applications on AWS

Please find our upcoming course dates at the end of this page!

Course description

Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.

COURSE OBJECTIVES

In this course, you will learn to:

  • Accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio

INTENDED AUDIENCE

This course is intended for:

  • Experienced data scientists who are proficient in ML and deep learning fundamentals

PREREQUISITES

We recommend that attendees of this course have:

  • Experience using ML frameworks
  • Python programming experience
  • At least 1 year of experience as a data scientist responsible for training, tuning, and deploying models
  • AWS Technical Essentials 

ACTIVITIES

This course includes:

  • presentations
  • demonstrations
  • hands-on labs
  • discussions
  • a capstone project

COURSE DURATION / PRICE

  • 3 days
  • € 2,095.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Amazon SageMaker Studio Setup
      • JupyterLab Extensions in SageMaker Studio
      • Demonstration: SageMaker user interface demo
    • Module 2: Data Processing
      • Using SageMaker Data Wrangler for data processing
      • Hands-On Lab: Analyze and prepare data using Amazon SageMaker Data Wrangler
      • Using Amazon EMR
      • Hands-On Lab: Analyze and prepare data at scale using Amazon EMR
      • Using AWS Glue interactive sessions
      • Using SageMaker Processing with custom scripts
      • Hands-On Lab: Data processing using Amazon SageMaker Processing and SageMaker Python SDK
      • SageMaker Feature Store
      • Hands-On Lab: Feature engineering using SageMaker Feature Store
    • Module 3: Model Development
      • SageMaker training jobs
      • Built-in algorithms
      • Bring your own script
      • Bring your own container
      • SageMaker Experiments
      • Hands-On Lab: Using SageMaker Experiments to Track Iterations of Training and Tuning Models
  • Day 2

    • Module 3: Model Development (continued)
      • SageMaker Debugger
      • Hands-On Lab: Analyzing, Detecting, and Setting Alerts Using SageMaker Debugger
      • Automatic model tuning
      • SageMaker Autopilot: Automated ML
      • Demonstration: SageMaker Autopilot
      • Bias detection
      • Hands-On Lab: Using SageMaker Clarify for Bias and Explainability
      • SageMaker Jumpstart
    • Module 4: Deployment and Inference
      • SageMaker Model Registry
      • SageMaker Pipelines
      • Hands-On Lab: Using SageMaker Pipelines and SageMaker Model Registry with SageMaker Studio
      • SageMaker model inference options
      • Scaling
      • Testing strategies, performance, and optimization
      • Hands-On Lab: Inferencing with SageMaker Studio
    • Module 5: Monitoring
      • Amazon SageMaker Model Monitor
      • Discussion: Case study
      • Demonstration: Model Monitoring
  • Day 3

    • Module 6: Managing SageMaker Studio Resources and Updates
      • Accrued cost and shutting down
      • Updates
    • Capstone
      • Environment setup
      • Challenge 1: Analyze and prepare the dataset with SageMaker Data Wrangler
      • Challenge 2: Create feature groups in SageMaker Feature Store
      • Challenge 3: Perform and manage model training and tuning using SageMaker Experiments
      • (Optional) Challenge 4: Use SageMaker Debugger for training performance and model optimization
      • Challenge 5: Evaluate the model for bias using SageMaker Clarify
      • Challenge 6: Perform batch predictions using model endpoint
      • (Optional) Challenge 7: Automate full model development process using SageMaker Pipeline

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).
The Course language is German, on request also in English.



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Networking Essentials for Cloud Applications on AWS


  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Networking Essentials for Cloud Applications on AWS

Please find our upcoming course dates at the end of this page!

Course description

The Networking Essentials for Cloud Applications on AWS course provides a comprehensive understanding of networking concepts and services within the Amazon Web Services (AWS) cloud environment. Designed for novice and experienced networking engineers, this course covers essential topics, best practices, and hands-on labs. Its purpose is to equip learners with the knowledge and skills that are required to design, configure, and optimize network infrastructure on AWS.

COURSE OBJECTIVES

In this course, you will learn to:

  • Design a networking infrastructure for a scalable production application, considering design trade-offs between different networking services.
  • Configure networking services for a highly available, resilient, and scalable application.
  • Implement the networking infrastructure according to evolving business requirements.
  • Implement networking best practices to align towards AWS Well-Architected Framework.

INTENDED AUDIENCE

This course is intended for:

  • Newly hired cloud engineers
  • On-premises IT engineers
  • Cloud architects
  • Cloud engineers
  • Network engineers

PREREQUISITES

We recommend that attendees of this course have:

ACTIVITIES

This course includes:

  • presentations
  • demonstrations
  • knowledge checks
  • three hands-on labs that revolve around a use case story

COURSE DURATION / PRICE

  • 1 day
  • € 750,00 (excl. tax) per person (DE)

Course outline

Day 1

  • Module 0: Course Introduction
    • Introductions
    • Course overview
    • Use case introduction
  • Module 1: Networking on AWS
    • IP addressing
    • Amazon Virtual Private Cloud (Amazon VPC) fundamentals
    • Subnets
    • Amazon VPC IP Address Manager (IPAM)
    • Elastic Network Interfaces
    • Elastic IP addressing
    • Route table
    • Internet and NAT gateways
    • Basic traffic filtering mechanisms for a VPC
    • Knowledge check
  • Module 2: Load Balancing and Scaling on AWS
    • Elastic Load Balancing (ELB)
    • Cross-zone load balancing
    • Auto Scaling group (ASG) basics
    • Knowledge check
    • Use case part one
    • Hands-on lab: Building a Multi-Availability Zone VPC Architecture
  • Module 3: VPC Interconnectivity and Content Delivery
    • VPC interconnectivity
    • VPC peering
    • VPC Transit Gateway
    • VPC endpoints
    • Edge locations
    • AWS Global Accelerator
    • Knowledge check
    • Use case part two
    • Hands-on lab: Accelerating Performance with Amazon CloudFront
  • Module 4: High Availability with Amazon Route 53
    • Amazon Route 53
    • Knowledge check
    • Use case part three
    • Hands-on lab: Achieving Fault Tolerance and Global Traffic Optimization
  • Module 5: Course Wrap-Up
    • Course reflection
    • Use case labs recap
    • Use case conclusion
    • Course feedback survey

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).
The Course language is German, on request also in English.



Neue Termine in Planung!

Continue reading

AWS Discovery Day – AWS Cloud Practitioner Essentials


  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

AWS Discovery Day – AWS Cloud Practitioner Essentials

In this free three-hour online event, executives and IT professionals will learn about the benefits of computing in the AWS Cloud. AWS services for computing, storage, database management, networking, and content delivery will be covered. You will learn how to leverage AWS services to improve business processes and how to benefit from AWS services for security and compliance.

The event is particularly relevant for customers who have recently signed up to AWS or for those who simply want to learn the basics of the AWS cloud platform.

Sign up for the free webinar here

COURSE OBJECTIVES

By attending this event, participants can expect to learn:

  • What the cloud is and how it works
  • The benefits of the AWS Cloud
  • Key AWS services and common use cases (computing, storage, databases, etc.)
  • The basic, global infrastructure of the cloud
  • Basic features of deploying and using the AWS Cloud
  • The shared responsibility model
  • Basic aspects of AWS security and compliance

INTENDED AUDIENCE

This webinar is intended for:

  • Business owners and IT professionals
  • Individuals interested in learning more about basic cloud concepts, AWS cloud terminology, and key AWS services

PREREQUISITES

No prior knowledge is required.

ACTIVITIES

This webinar includes:

  • Presentation
  • No questions can be asked during the webinar. After the webinar, questions asked in the chat will be addressed.

COURSE DURATION / PRICE

  • 3 hours / € 0.00

COURSE OUTLINE

  • MODULE 1: INTRODUCTION TO THE CLOUD AND AWS

    • Benefits of Cloud Computing
    • Components of Cloud Computing
    • Deployment models for cloud computing
    • Module 2: AWS Services Overview

      • AWS service domains
      • Computing
      • Storage
      • Database
      • Networking and content delivery
    • Module 3: Security and compliance overview

      • Overview of security
      • The shared responsibility model
      • AWS Security Services
      • AWS Compliance


    Neue Termine in Planung!

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    AWS Cloud Jump Start

    AWS Cloud Jump Start

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

    COURSE DESCRIPTION

    AWS Cloud Jump Start is a 1-week bootcamp from zero to hero (excluding self study before the bootcamp and afterwards for certification). You can expect a mix of practice and theory, complemented by valuable discussions and real-world experience!

    Content

    Benefits

    • Project experienced, official AWS authorized instructors
    • 1 week bootcamp from zero to hero (excluding self study before the bootcamp and afterwards for certification)
    • Mix of hands-on, theory, accomplished with valuable discussions and real-world proven good practises experience
    • AWS Certified Solutions Architect Associate | Developer Associate Exam Voucher
    • Focus on the cloud fundamentals that matter in DACH Cloud market
    • Proven quality and success in private offered Cloud enablement paths

    PRICE

    • € 2995.00 (excl. tax) per person (DE)

     

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

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

    Amazon Connect Essentials

    Amazon Connect Essentials

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

    Course description

    The Amazon Connect Essentials course is specifically designed for Customer Service Managers and Contact Center Supervisors who want to gain knowledge and skills in using Amazon Connect. This hands-on course covers basic concepts, features, and best practices to ensure effective contact center management.

    It also includes hands-on exercises designed to reinforce concepts from the course.

    Course objectives

    In this course, you will learn:

    1. Amazon Connect Basics: Get an introduction to Amazon Connect, including architecture, features, and key service quotas.
    2. Configuring Contact Flows: Learn to create efficient call and chat flows to ensure a seamless customer experience. You’ll learn how to route calls, manage queues, and implement self-service options.
    3. Agent and Security Profiles: You will learn to effectively deploy agents and create and configure security profiles. This includes creating and assigning routing profiles, configuring agent states, and agent coaching options.
    4. Real-time monitoring and reporting: you will learn to use Amazon Connect’s monitoring tools to track key metrics and performance indicators. You’ll learn how to access real-time information about contact center health and generate reports.
    5. Integration with other AWS services such as Amazon DynamoDB, AWS Lambda, or Amazon Lex.
    6. Best practices and troubleshooting: get best practices for customizing and scaling Amazon Connect to meet your contact center’s specific needs. You will learn which tools to use for logging and error identification.

    By the end of the course, you will have a solid understanding of Amazon Connect and will be able to apply the concepts and techniques learned to drive effective contact center management and improve the customer experience.

    Intended audience

    This course is intended for:

    • Customer Experience Manager
    • Customer Service Managers
    • Contact Center Supervisors
    • IT Professionals

    Course duration and Price

    • 1 day / virtual
    • € 750.00 (excl. tax) per person (DE)
    • CHF 900.00 (excl. tax) per person (CH)

     

    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.