Course Overview

This course is intended to provide solutions architects with the foundational knowledge required to successfully plan and perform lift and shift migrations to the AWS Cloud. In this course you will learn about methodologies for discovering, planning, performing, and tracking migrations by using various AWS tools and services.

– Course level: Fundamental

– Duration: 1 day

Course Objectives

In this course, you will learn to:

  • Determine cloud readiness and migration strategies using assessment tools and services provided by Amazon Web Services (AWS).
  • Articulate the key tasks involved in planning and mobilizing migrations.
  • Describe, at a high level, the Amazon Web Services (AWS) services, resources, and tools necessary for migrations of data and databases.
  • Describe, at a high level, the Amazon Web Services (AWS) services, resources, and tools necessary for migrations of applications.

Course Content

Day 1

Module 0: Course Introduction

  • Introductions
  • Course overview

Module 1: Assess

  • Migration phases
  • Migration drivers and outcomes
  • Cloud Adoption Readiness Tool (CART)
  • Migration Readiness Assessment (MRA)
  • Migration Evaluator
  • Migration Portfolio Assessment (MPA)

Module 2: Mobilize

  • Landing zones
  • AWS Application Discovery Service
  • Migration strategies
  • AWS Migration Hub

Module 3: Migrate and Modernize: Database and Data Migration

  • AWS Database Migration Service (AWS DMS)
  • Data migration
  • Lab 1: Database Migration with AWS DMS

Module 4: Migrate and Modernize: AWS Application Migration Service

  • Migrate servers with AWS Application Migration Service (AWS MGN)
  • Modernization phases
  • AWS Well-Architected Framework for migration
  • Application optimization
  • Lab 2: Application Migration with AWS MGN

Module 5: Course Summary

  • Course summary

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

– Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding

– Challenges based on real-world scenarios so your team can build practical skills

– Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey

– Facilitated by an expert AWS instructor who can answer questions and give real time feedback

– Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult

– Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

  • Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding
  • Challenges based on real-world scenarios so your team can build practical skills
  • Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey
  • Facilitated by an expert AWS instructor who can answer questions and give real time feedback
  • Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult
  • Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

– Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding

– Challenges based on real-world scenarios so your team can build practical skills

– Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey

– Facilitated by an expert AWS instructor who can answer questions and give real time feedback

– Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult

– Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

AWS Jam is a gamified event with teams competing to win by completing a series of hands-on challenges on the AWS platform over the course of a day. Participants develop, enhance, and validate team skillsets in the AWS Cloud through real-world problem solving. Each AWS Jam takes place in a pre-created AWS infrastructure that is based on common use cases that participants use to determine what happened, how to best respond, and how to deploy appropriate solutions. While each challenge has a set of goals, the path to the solution is open-ended, allowing teams the freedom to play and learn by exploring different approaches and combinations of AWS services. Participants will experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. A live leaderboard provides updates on team stats and progress. Teams earn the most points by solving challenges before the other teams. If they get stuck, they can use clues, but each clue will reduce their
score.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

– Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding

– Challenges based on real-world scenarios so your team can build practical skills

– Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey

– Facilitated by an expert AWS instructor who can answer questions and give real time feedback

– Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult

– Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

  • Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding
  • Challenges based on real-world scenarios so your team can build practical skills
  • Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey
  • Facilitated by an expert AWS instructor who can answer questions and give real time feedback
  • Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult
  • Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

Accelerate your cloud adoption journey. Your team will gain practical knowledge and skills that they can take back and implement into your organizations cloud initiatives. With real-world challenges, your team will be equipped to handle real-world scenarios. AWS Jam is a scenario-based, team-centered 1 day event where participants gain practical experience with a wide range of AWS services. AWS Jam scenarios relate to use cases, domains, and services covered in the classroom training course. The event is gamified with teams competing against each other by scoring points for completing specific challenges. Challenges have varying degrees of difficulty and are therefore worth differing amounts of points. A live leaderboard provides updates on scores and progress throughout the event. Clues and guidance can be provided to help teams move through challenges, but cost points. To play, AWS provides participants and teams with access to pre-created infrastructure.

Course Objectives

Immersive engagements encourage you to up-level your skills on AWS

Course Content

  • Hands-on format, putting learners in the driver’s seat to make decisions and solve problems in an active AWS Cloud environment to amplify understanding
  • Challenges based on real-world scenarios so your team can build practical skills
  • Develop your team’s skillsets in the AWS Cloud to advance your cloud adoption journey
  • Facilitated by an expert AWS instructor who can answer questions and give real time feedback
  • Validate learning through reports on teams including benchmarks, completion times, and which challenges were the most difficult
  • Reinforce your team’s learning while it’s still fresh in your team’s heads – AWS Jam can be added after the final day of classroom training class

Course Overview

Learn about the AWS strategy and best practices for performing large-scale cloud migrations. Built from the experiences of helping hundreds of enterprise organizations move to the cloud, these proven techniques and tools will help accelerate your successful journey to the AWS Cloud.

– Level: Fundamental
– Duration: 1.5 hours

Course Objectives

  • Describe the primary drivers for moving to the AWS Cloud
  • Describe the migration process
  • Explain the Migration Readiness Assessment
  • Describe the Migration Readiness and Planning process
  • Describe the common application migration strategies
  • List AWS tools and services that can accelerate the migration process

Course Content

Section 1: Migration overview

  • Common migration drivers
  • Potential barriers to cloud adoption
  • Elements of a successful journey
  • The migration process
  • Stages of adoption

Section 2: Migration Readiness and Assessment (MRA)

  • Overview
  • AWS Cloud Adoption Framework
  • What is the MRA?
  • Why do an MRA?
  • When to do an MRA?
  • How to do an MRA?

Section 3: Migration Readiness & Planning (MRP)

  • When to do an MRP?
  • Discovery & planning
  • Analysis
  • Picking a portfolio discovery tool
  • Landing zone
  • Center of excellence
  • Migration business case
  • Migration plan
  • Migration expertise
  • Operating model
  • Security and compliance
  • Shared responsibility model

Section 4: Lessons learned and suggested resources

  • Business justification
  • Migration strategies
  • Typical project profile
  • Suggested resources

Course Overview

The AWS Discovery Day is free of charge virtual event that is designed to introduce AWS cloud computing concepts and foundational infrastructure services. Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This event introduces several AWS services you can use to improve your security posture. The event covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS

Course Content

Define the cloud and how it works

Explain the benefits of the AWS Cloud

Describe the basic global infrastructure of the cloud

Identify security benefits and responsibilities of using the AWS Cloud

Describe the different design principles for security in the cloud

Determine which AWS services you can use to improve your security posture

Course Overview

Learn about important concepts, terminology, and the phases of a machine learning pipeline.

Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.

– Level: Fundamental
– Duration: 1.5 hours

Course Objectives

During this event, you will learn:

  • What is Machine Learning?
  • What is the machine learning pipeline, and what are its phases?
  • What is the difference between supervised and unsupervised learning?
  • What is reinforcement learning?
  • What is deep learning?

Course Content

Section 1: Machine learning basics

  • Classical programming vs. machine learning approach
  • What is a model?
  • Algorithm features, weights, and outputs
  • Machine learning algorithm categories
  • Supervised algorithms
  • Unsupervised algorithms
  • Reinforcement learning

Section 2: What is deep learning?

  • How does deep learning work?
  • How deep learning is different

Section 3: The Machine Learning Pipeline

  • Overview
  • Business problem
  • Data collection and integration
  • Data processing and visualization
  • Feature engineering
  • Model training and tuning
  • Model evaluation
  • Model deployment

Section 4: What are my next steps?

  • Resources to continue learning