AWS for Developers training course

Learn how to build and deploy applications to AWS

JBI training course London UK

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022

Public Courses

17/08/26 - 4 days
£2000 +VAT
28/09/26 - 4 days
£2000 +VAT
09/11/26 - 4 days
£2000 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • Understand what is the Cloud
  • Gain an Introduction to Servers and EC2
  • Gain an Introduction to Storage
  • Apply Security and Explore the Cloud
  • Understand The Paradigm Shift for Traditional Infrastructure
  • Develop applications for the cloud
  • Leverage and explore Messaging
  • Understand Microservice Implementation
  • Learn Automation of Deployment
  • Work with Real World Deployment Examples

What is the Cloud

  • Fundamentals of cloud computing
  • Benefits of cloud computing
  • AWS, Azure, Pivotal, Google and the Cloud Computing Landscape

Introduction to Servers and EC2

  • Setting up Servers in the Cloud
  • Configuration options for servers
  • Autoscaling, Load balancing and Elasticity

Introduction to Storage

  • Storage options
  • Relational Databases as a Service
  • NoSQL Databases as a service
  • Object Stores and Archiving
  • Caching options

Security and the Cloud

  • Security Overview
  • Responsibilities of AWS
  • Responsibilities of the customer
  • Securing your infrastructure
  • Managing team access to your AWS Account

The Paradigm Shift for Traditional Infrastructure

  • Infrastructure as code
  • Serverless architectures with AWS Lambda
  • Single click deployment and continuous delivery

Developing applications for the cloud

  • Forklifting existing applications
  • Leveraging the cloud platform

 Leveraging Messaging

  • The importance of decoupling
  • SQS based messaging services
  • Benefits of SQS
  • Implementing messaging

Microservice Implementation

  • Deploying Microservices
  • Creating a Microservice
  • Introduction to containers
  • Docker on AWS with EC2 Container Service

Automation of Deployment

  • The Continuous Integration / Continuous Delivery Paradigm
  • Automation of the delivery of server architecture
  • Automation of the deployment of applications
  • Automating deployment with Elastic Beanstalk
  • Automating deployment with CloudFormation

Real World Deployment Example

  • Take an existing application and review code
  • Consider various deployment / rearchitecting options
  • Create an automation pipeline for the deployment of infrastructure and application
JBI training course London UK

Aimed at Developers who wish to understand how to build and deploy applications to AWS - Developers, Devops engineers, cloud architects, and anyone who needs to know how to actually get applications successfully running in the cloud.

5 star

4.8 out of 5 average

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"

Brian Leek, Data Analyst, May 2022



“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

 

 

JBI training course London UK

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This AWS training course focuses on taking real applications from on premises, and then leveraging AWS technology in the code itself and also then leveraging AWS technology to automate the deployment process, whislt taking into account security, AWS platform features, and tools to facilitate the automation of build and deployment of your infrastructure. The course looks at how you can use S3, EC2, Docker and ECS, RDS, Dynamo DB, but in the context of some real world problems. The course also can help prepare you for the AWS System Operations, Architecting, and Developing Associate Exams.

JBI Training offers a comprehensive range of cloud training courses covering Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Azure courses include Azure Fundamentals, Azure Cloud Introduction, Azure Developer, Azure Administration, Azure DevOps and ALM, Azure Integration Services, Azure Data Factory, Azure Solutions Development and Security, DevOps Essentials with Azure, and Data Analytics Solutions with Azure Databricks. AWS courses include Amazon Web Services Introduction and AWS for Developers. Google Cloud courses include Google Cloud Platform and GCP Data Fusion and BigQuery. All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for cloud and engineering teams.
The right cloud platform to train in depends primarily on which platform your organisation uses or plans to adopt. Microsoft Azure is the most widely used cloud platform in UK enterprises, particularly those already working within the Microsoft ecosystem including Microsoft 365 and the Power Platform. AWS is the largest cloud platform globally by market share and is prevalent in technology companies, startups, and organisations with diverse cloud-native workloads. Google Cloud Platform is widely used in data engineering, machine learning, and analytics-heavy organisations, and is particularly strong in BigQuery and Vertex AI. JBI offers training across all three platforms and can advise on which courses best match your organisation's environment.
JBI offers Azure training across a range of roles and levels. Azure Fundamentals is a one-day introduction for those new to cloud and Azure concepts. Azure Cloud Introduction is a three-day course covering core Azure services in depth. Azure Developer is a four-day course for developers building applications on Azure. Azure Administration is a four-day course for IT professionals managing Azure infrastructure. Azure DevOps and ALM covers using Azure DevOps for continuous integration, delivery, and application lifecycle management. Azure Integration Services is a five-day course covering Azure's enterprise integration tools including Logic Apps, Service Bus, API Management, and Event Grid. Azure Solutions Development and Security and Data Analytics Solutions with Azure Databricks address specialist topics in cloud application development and data analytics.
Azure Data Factory (ADF) is Microsoft's cloud-based data integration and ETL (extract, transform, load) service. JBI's two-day Azure Data Factory course covers the core concepts of ADF, building and managing data pipelines, connecting to on-premises and cloud data sources, transforming data using data flows and mapping transformations, monitoring and debugging pipelines, and integrating ADF with other Azure services such as Azure Data Lake, Azure SQL, and Azure Synapse Analytics. It is suitable for data engineers, ETL developers, and BI professionals working in or migrating to the Azure data platform.
Azure DevOps is a Microsoft platform that provides a suite of tools for managing the full software development lifecycle — including Boards for project management, Repos for source control, Pipelines for CI/CD, Test Plans for testing, and Artifacts for package management. JBI's Azure DevOps and ALM course covers using this platform specifically. DevOps Essentials with Azure is a two-day course that takes a broader view of DevOps practices and principles, using Azure as the platform context, and is suited to those who want to understand DevOps workflows and culture alongside Azure tooling rather than focusing solely on the Azure DevOps product.
Azure Databricks is a cloud-based analytics platform built on Apache Spark and optimised for the Azure environment. It is used for large-scale data engineering, machine learning model development, and advanced analytics workflows. JBI's two-day Data Analytics Solutions with Azure Databricks course covers the Databricks environment and workspace, working with notebooks, data ingestion and transformation using Spark, building and evaluating machine learning models, and integrating Databricks with other Azure data services. It is suitable for data engineers, data scientists, and analytics engineers working within the Azure ecosystem who need to process and analyse large datasets at scale.
The AWS for Developers course is a four-day programme designed for software developers who need to build and deploy applications on Amazon Web Services. It covers core AWS services relevant to developers including compute (EC2, Lambda), storage (S3, DynamoDB, RDS), application integration (SQS, SNS, API Gateway), identity and access management (IAM), and deployment tooling (CodePipeline, CodeDeploy, Elastic Beanstalk). The course includes hands-on exercises that reflect real-world application development and deployment scenarios on AWS. It complements the two-day AWS Introduction course, which provides a platform-level overview suitable for those newer to AWS.
JBI's three-day Google Cloud Platform course provides a comprehensive introduction to GCP for engineers and technical professionals. It covers the GCP architecture and core services including Compute Engine, Cloud Run, Google Kubernetes Engine, Cloud Storage, BigQuery, Cloud SQL, Cloud Pub/Sub, and IAM. The course includes practical exercises deploying and managing resources on GCP and covers the platform's key differentiators in data analytics, machine learning infrastructure, and Kubernetes. The GCP Data Fusion and BigQuery course is a complementary two-day specialist programme focusing on GCP's data integration and analytics capabilities.
Yes. All cloud training courses at JBI can be delivered as customised onsite or online programmes for corporate teams. Content can be tailored to the team's specific cloud provider, existing architecture, tools in use, and learning objectives — for example, a team migrating workloads to Azure can receive training focused on their migration path and target architecture, or a development team adopting serverless on AWS can receive training focused on Lambda, API Gateway, and related services. JBI has delivered cloud training for engineering and IT teams at organisations including the BBC, NHS, Cisco, Sky, RBS, EDF, and Capita.
Yes. Azure, AWS, and Google Cloud Platform all release new features and services on a continuous basis, and JBI's cloud training content is regularly reviewed and updated to reflect these changes. This includes updates to new Azure services and pricing models, AWS re:Invent announcements, GCP capability releases, and evolving best practices in cloud architecture, security, and cost management. Delegates learn skills and concepts that are current and applicable to the versions and services available on each platform today.

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