Java Serverless Cloud (Classroom)

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.

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.

Job Guarantee Program

The Job Guarantee program is available only to candidates who enrol in Option 3 (Project and Industrial Training and Paid Internship Program). It is important to note, however, that the Job Guarantee program has its own selection criteria, so not everyone may be considered for the program. 

Prerequisites have been met

Option 1

• Topic: Java Serverless Cloud (Prior Knowledge of Java Required)

• Duration: 3 Months

Option 2

• Topic:Java Serverless Cloud (Prior Knowledge of Java Required)

• Add-On:Project

• Duration: 5 Months

Option 3

• Topic: Java Serverless Cloud (Prior Knowledge of Java Required)

• Add-On: Project &Industrial Training and Paid Internship Program

• Duration: 12 Months

Prerequisites have not been met

Option 1

• Topic: Java + Java Serverless Cloud

• Duration: 4 Months

Option 2

• Topic:Java + Java Serverless Cloud

• Add-On:Project

• Duration: 6 Months

Option 3

• Topic: Java + Java Serverless Cloud

• Add-On: Project &Industrial Training and Paid Internship Program

• 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.

Who Should Apply for This Course?

• Java students who want to write serverless code for the cloud infrastructure

• Professionals who want to gain proficiency in Serverless Programming with AWS Lambdas

• The participants who have already completed a Java course and want to improve their development skills further

• Professionals who are expecting to get better salaries by improving their skillset

Learning Objectives

• Get hands-on experience on developing serverless applications

• Learn key technologies involved in serverless development

• Gain knowledge of event driven distributed development

• Learn serverless architecture and patterns

• Understand the use of Git and CI tools like Jenkins

• Gain knowledge of logging and monitoring cloud services

Course Highlights

• Hands-on Sessions

• Project-based Learning

• Live or Offline Capstone Project

• Real world development experience

• Industry Mentors

• Interactive Teaching Methodologies

Evaluation Criteria

• 18 Coding exercises

• 5 Assignments

• 5 Quizzes

• Capstone Project

• Group activities

• Presentations

Assessment Criteria

To earn the certificate, students must clear all the assessments, quizzes, and project work. At a minimum, students are required to satisfy the pass criteria of the course. Students who score 75% or more will be awarded Merit Grade, while students with 85% or more will be awarded, Distinction Grade.

Following are the detailed criteria for each level

Pass Grade Criteria

Score minimum 50% aggregate and demonstrate the following;

• Proficiency in the technical skills and techniques

• Must have a minimum attendance of 90% in the classes unless proper medical proof is provided

• Submit all the projects and assignments before the last submission date

• Collaborate with peers in group projects

Merit Grade Criteria

Score minimum 75% aggregate and demonstrate the following;

• Excellent technical skills and techniques

• Discover and apply strategies to find the perfect solutions

• Select/design and apply appropriate methods/techniques

• Present and communicate appropriate findings

Distinction Grade Criteria

Score minimum 85% aggregate and demonstrate the following;

• Mastery of technical skills and techniques

• Use critical thinking for self-evaluation and justify valid conclusions

• Take the responsibility the manage and organise activities and teams

• Showcase convergent/lateral/creative thinking.

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

Reasons to Choose LSET

• Interactive live sessions by industry experts.

• Practical classes with project-based learning with hands-on activities.

• International learning platform to promote collaboration and teamwork.

• Most up-to-date course curriculum based on current industry demand.

• Gain access to various e-learning resources.

• One-to-one attention to ensure maximum participation in the classes.

• Lifetime career guidance to get the students employed in good companies.

• Free lifetime membership to the LSET Alumni Club

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.

• We constantly update the curriculum to include the latest releases and features.

• We focus on teaching the industry's best practices and standards.

• We let you explore the topics through guided hands-on sessions.

• We provide industry professional mentor support to every student.

• We give you an opportunity to work on real world examples.

• Work with hands-on projects and assignments.

• We help you build a technical portfolio that you can present to prospective employers.

What Will Be Your Responsibilities?

• Work creatively in a problem-solving environment.

• Ask questions and participate in class discussions.

• Work on assignments and quizzes promptly.

• Read additional resources on the course topics and ask questions in class.

• Actively participate in team projects and presentations.

• Work with the career development department to prepare for interviews

• Respond promptly to the instructors, student service officers, career development officers, etc.

• And most importantly, have fun while learning at LSET.

Benefits of LSET Certificate

Earning the LSET Certificate means you have demonstrated hard-working capabilities and learnt the latest technologies by completing hands-on exercises and real-world projects.

Following are some of the traits employers can trust you have built up through your course;

• You know how to work in a team environment and communicate well.

• You know the tools which are necessary for your desired job.

• You know how to use the latest technologies to develop technologically advanced solutions.

• You have developed problem-solving skills to navigate complex problem scenarios and find the right solutions.

• You are now ready to take on the challenge and help your prospective employer to build the desired solutions.

Serverless Fundamentals

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

Entry Criteria

• Prior knowledge of Java is required Or Java Programming Certificate

• Prior knowledge of HTML, CSS, and Javascript is required Or Front End Development Certificate

• Basic Understanding of English

• Basic Proficiency with Computers

• Ability to work in Group

Career path

• Operational Support Engineer

• AWS SysOps Administrator

• Senior AWS Cloud Architect

• AWS Solutions Architect

• DevOps Engineer

• Cloud Developer