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Java Serverless Cloud - Instructor-Led Online Live cover image

Java Serverless Cloud - Instructor-Led Online Live
London School of Emerging Technology

Make your career in the next big thing in cloud computing.

Summary

Price
£1,600 inc VAT
Or £133.33/mo. for 12 months...
Study method
Online + live classes
Course format
Video with subtitles
Duration
3 months · Part-time or full-time
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Assessment details
  • LSET Validated Java Serverless Cloud - £100
Additional info
  • Tutor is available to students

Add to basket or enquire

Overview

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.

Certificates

Certificate of completion

Digital certificate - Included

Assessment details

LSET Validated Java Serverless Cloud

£100

Course media

Description

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

Who is this course for?

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.

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

Requirements

  • 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

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FAQs

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