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

Course Overview

Learn to create and optimize prompts for a variety of ML models with Introduction to Prompt Engineering. Learn basics of foundation models, the concepts of prompt engineering, and basic prompt techniques.

Course Objectives

In this session, you will learn to:

  • Describe foundation models and large languages models
  • Describe key concepts and best practices of prompt engineering
  • Describe basic prompt techniques including; zero-shot, few-shot, and chain-of thought prompting

Course Overview

Gain an understanding of Generative AI and how it can address concerns and challenges, and supports business growth. Learn the steps for planning a generative AI project and the key considerations for building a generative AI-ready organization.

Course Objectives

In this session, you will learn to:

  • Describe the basics of generative AI and use cases
  • Describe importance of generative AI
  • Identify the risks and benefits of generative AI
  • Describe how to plan a generative AI project
  • Describe how to build a generative AI-read organization

Course Overview

Learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.

Organizations need a data strategy to succeed, but there’s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.

– Level: Fundamental
– Duration: 1.5 hours

Course Objectives

During this event, you will learn:

  • How AWS services help you modernize, unify, and innovate your data infrastructure
  • How to use AWS services to provide secure and well-governed access to data
  • How to innovate with AI/ML by harnessing your data with built-in ML

Course Content

Section 1: Introduction

  • Business value of a modern data strategy
  • Challenges
  • Use cases
  • Traditional vs. cloud
  • Modern data strategy on AWS

Section 2: Modernize

  • Relational databases
  • Purpose-built databases

Section 3: Unify

  • Data lakes with Amazon S3
  • Lake house approach on AWS
  • Purpose-built data services
  • Breaking down data silos
  • Unified governance

Section 4: Innovate

  • Machine learning (ML) services
  • Artificial intelligence (AI) services
  • Data stores, data lakes, and BI tools with built-in ML

Section 5: Next steps

  • Resources to continue learning

Course Overview

AWS Discovery Day is a FREE virtual training event designed to teach business leaders and IT technical professionals the benefits of computing in the AWS Cloud. It covers AWS computing, storage, database management, networking, and content delivery services.

Course Content

Define the cloud and how it works

Explain the benefits of the AWS Cloud

Describe the basic global infrastructure of the cloud

Gain a deeper understanding of AWS core services

Explain the shared responsibility model

Describe security services with the AWS Cloud

Course Overview

The fundamental-level full day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. It includes lab exercises reinforcing some of the core concepts of the lecture. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

Course Objectives

In this course, you will learn how to:

  • Define what the cloud is and how it works
  • Differentiate between cloud computing and deployment models
  • Describe the AWS Cloud value proposition
  • Describe the basic global infrastructure of the cloud
  • Compare the different methods of interacting with AWS
  • Describe and differentiate between AWS service domains
  • Given a scenario, identify an appropriate solution using AWS Cloud services
  • Describe the Well-Architected Framework
  • Describe basic AWS Cloud architectural principles
  • Explain the Shared Responsibility model
  • Describe security services with the AWS cloud
  • Define the billing, account management, and pricing models for the AWS platform
  • Identify future services and developments built on the cloud

Course Content

This one day course covers the following concepts:

  • Introduction to the AWS Cloud
  • Getting Started in the Cloud
  • Building in the Cloud
  • Security
  • Pricing Models and Cloud Application Support
  • Architecture