Java Serverless Cloud - Classroom

Entry requirements

Course Highlights

• Hands-on Sessions

• Project-based Learning

• Live or Offline Capstone Project

• Real world development experience

• Industry Mentors

• Interactive Teaching Methodologies

Reasons to Learn AWS?

• More and more enterprises are migrating their cloud applications to AWS. There is a huge demand for cloud professionals who can assist these organisations in the migration of their applications.

• Cloud computing professionals have the edge over ordinary developers with basic coding skills. This type of computing plays a massive role in the development of artificial intelligence and machine learning.

• AWS is currently the fastest-growing public cloud service provider. Therefore, it could provide exponential growth opportunities in the near future.

• There are fewer skilled AWS professionals to suffice the current demand for professionals. Learning AWS could be a very reliable way to advance your career in cloud computing and embrace future technologies.

About the Course

In today’s cloud application development environment, building serverless scalable architectures have become really important. This decreases the operational overhead of a business. By the end of the Course, we will also help you with your portfolio development, drafting your resume, prepare you for the interview process.

• Participants will gain a thorough understanding of developing and deploying AWS Lamba and serverless architectures

• LSET will introduce the participants to creating an AWS API Gateway endpoint

• Participants will go through an in-depth project-based learning approach to get the opportunity to work the real-world serverless projects and assignments

• LSET provides live mentor support and structured training to its students to ensure maximum participation and concept simplification during the live lessons

• The professionals and industry experts have developed the Serverless Developer Course curriculum from LSET’s School of Computing

• The Course classes are provided by AWS industry experts who have years of experience with various Serverless architectures

Learn about AWS tools to develop serverless applications

• Gaining expertise over the fundamentals of AWS Lambda and Serverless Programming

• Developing Lambda Function with the help of AWS console

• Installing the necessary tools for creating and deploying Serverless Projects from the command line

• Understanding the method signature and data that can be transferred to and taken from a Lambda Function

• Understanding the YAML Syntax necessary for creating SAM template files

• Creating projects with SAM CLI

• Learning a Serverless Project’s structure

• Building and deploying Function as Code (also known as FAAS)

• Testing and evaluating the functions remotely, locally and on the cloud

• Creating and cleaning up the whole infrastructure necessary for the project with one command

• Creating serverless APIs with AWS Lambda functions, API Gateway, and Dynamo DB

• Learning to use AWS APIs and SDKs to work with different components systematically

• Handling ASync use-case with S3 and SNS as triggers

• Working on Logging with Log4j

• Handling errors patiently for configuring Dead letter Queues

Months of entry

January, April, July, October

Course content

Make your career in the next big thing in cloud computing. More and more companies are moving to serverless computing as it enables them to build agile event driven distributed applications faster.

Java Serverless Cloud course is intended for students who wish to make career as a cloud developer whose main job will include developing event-driven, microservice-based applications on AWS cloud. Students wishing to enrol in this course should have knowledge of Java and web technologies like HTML, CSS, and JavaScript. In this course, you will learn about AWS Lambda concepts for ephemeral states, concurrency, cold and warm starts, event sources, memory and time-out settings, and invocation models.

As a capstone project, you will develop an application on the AWS Cloud by using various cloud tools like Amazon EventBridge, Amazon Simple Notification Service (SNS), Amazon Simple Queue Service (SQS), Amazon Kinesis, etc. We put emphasis on teaching best practices and writing performance driven Lambda functions. At the end of the capstone project, you will learn how to use AWS frameworks to deploy your serverless application on the AWS cloud. We take hands-on approach to teach complex topics in an easy manner.

In addition to the above, student will learn the three pillars of observability which are monitoring, tracing, and logging which help to keep control of cost, optimise performance, and application resilience. You will use AWS X-Ray to analyse and debug distributed applications and Amazon CloudWatch to monitor system performance.

Technologies Covered

AWS Lambda: AWS Lambda is a serverless, event-driven compute service which enable us to run code as backend service without provisioning or managing servers. Lambda can be triggered from over 200 AWS services and software as a service (SaaS) applications.

AWS S3: Amazon Simple Storage Service (Amazon S3) is an object storage service which can be used to store various types of files. It promises scalability, data availability, security, and performance. Companies can store data for any use like data lakes, cloud-native applications, and mobile apps.

AWS SNS: Amazon Simple Notification Service (Amazon SNS) is a fully managed scalable messaging service. It is a pub/sub model which provides topics for high-throughput, push-based, many-to-many messaging between distributed systems, microservices, and event-driven serverless applications.

AWS SQS: Amazon Simple Queue Service (SQS) is a fully managed message queuing service. It allows us to decouple and scale microservices, distributed systems, and serverless applications. SQS simplifies the management and operation of message-oriented middleware. SQS allows us to send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available.

Industrial Training

LSET offers an optional add-on industry training program to its students. Students wishing to enrol in this program require to pay fee of £2000 to receive training from industry experts at IT companies in the US or UK. This is a month-long program which takes place at the host company’s location. Interested students need to go through an assessment and host company’s interview process to be accepted in the program.

Prerequisites have been met

Option 1

1. Topic: Java Serverless Cloud (Prior Knowledge of Java Required)
2. Duration: 3 Months

Option 2

1. Topic:Java Serverless Cloud (Prior Knowledge of Java Required)
2. Add-On:Project
3. Duration: 5 Months

Option 3

1. Topic: Java Serverless Cloud (Prior Knowledge of Java Required)
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 12 Months

Prerequisites have not been met

Option 1

1. Topic: Java + Java Serverless Cloud
2. Duration: 4 Months

Option 2

1. Topic:Java + Java Serverless Cloud
2. Add-On:Project
3. Duration: 6 Months

Option 3

1. Topic: Java + Java Serverless Cloud
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 13 Months

Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

Information for international students

The London School of Emerging Technology has two levels of fee structures, one for home students and another one for international students who are enrolling in our certificate and advanced certificate courses. The fee for all the courses at LSET is the same until it is exclusively mentioned on the course page.

Fees and funding