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New Hire Training

JAVA Mastery for New Hire

Dive into Java programming, mastering concepts like OOP, Java SE, and Java EE. Explore Cloud fundamentals, covering Azure/AWS/ GCP, and unravel the power of AI with hands-on projects using Python, TensorFlow, and more. Prepare to make a significant impact in the tech landscape from day one.

 

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Transform Your Team with Java, Cloud, and AI Mastery – Elevate Skills, Boost Innovation, and Drive Impactful Solutions

 

 

The Java with Cloud and AI program is designed to empower new hires with a robust skill set, blending essential Java programming expertise with cutting-edge technologies. Here's a breakdown of the technologies and use cases covered:

  • Technology Focus: Core Java, Java EE, AWS, Azure, Google Cloud, AI fundamentals, understanding machine learning concepts, Cloud-native Java development, AI integration, End-to-end project development.
  • Use Cases Covered:
    • Develop a strong foundation in Java programming, including data structures, algorithms, and object-oriented principles.
    • Explore cloud computing platforms and services, with hands-on projects for cloud-based application development and deployment.
    • Practical applications in natural language processing (NLP)
    • Apply Java skills to build cloud-native applications and integrate AI components.
    • Work on real-world projects that simulate scenarios faced in industries. 

About the program

While prior experience in programming or Java is beneficial, the program is designed to accommodate beginners. An eagerness to explore cloud computing and artificial intelligence concepts is crucial, making this an ideal starting point for those embarking on their tech journey.
Curriculum Design

Modules mapped to business outcomes

This program employs a hands-on, project-based learning approach, ensuring a practical understanding of Java, Cloud, and AI concepts for effective skill application.

Week 1-3

Software Development with Java Basics

  • Introduction to SDLC, Agile principles, and Java programming.
  • Hands-on experience with Git, Java syntax, and basic exercises.
  • Object-Oriented Programming (OOP) concepts and Java Collections Framework.
  • Database basics with MySQL and introductory MongoDB concepts.
  • Java Database Connectivity (JDBC) and creation of a Simple Inventory Management System


 

Week 4-6

Back End Development with Java EE

  • Java Persistence API (JPA), Hibernate, and Spring Framework.
  • Building REST APIs using Spring Boot and incorporating Spring Data JPA.
  • Introduction to Spring MVC, Dependency Injection, and Core Spring Concepts.
  • RESTful APIs with Spring Boot and MongoDB for the Inventory Management System.
  • Emphasis on backend development principles and practices.

Week 7-9

Front End Development with JavaScript and React

  • HTML, CSS, Bootstrap, and JavaScript basics.
  • React JS introduction, components, JSX, and state management with Hooks.
  • Event handling, form validation, and REST API consumption in React.
  • Implementing routing and creating a complete Frontend using React.
  • Focus on creating interactive and dynamic user interfaces

Week 10-12

DevOps, Cloud Deployment, and Advanced Topics

  • Introduction to CI/CD, Jenkins, Docker, and containerization
  • Virtual Lab sessions on Docker, Docker Compose, and MySQL/MongoDB on Docker
  • Cloud Computing, Cloud Platforms, IAM, and deploying applications to Cloud
  • Exploring App Engine, Cloud Storage, and SQL
  • Setting up CI/CD pipelines using GCP tools and automated deployment

Week 13-14

Advanced Topics, Emerging Tech, and AI Integration + Capstone Week

  • Introduction to Gen AI, NLP, and the role of AI in Software Development.
  • AI-powered code assistance tools like GitHub Copilot.
  • Virtual Lab sessions on AI-powered code assistance and tools.
  • AI-Based Testing and Quality Assurance, Automated Testing with AI.
  • Creating an AI Chat System with Java, integrating NLP for practical applications.

Post Assessments

Post-assessments in the Java skilling program
  • The assessments will cover a range of key skills.
  • Skills in focus: Java Programming Proficiency, Database Management, Back End Development, Front End Development, DevOps and Cloud Deployment, Full Stack Development, AI-Based Testing and Quality Assurance, Application of Cloud Services
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Skilling Journey Note

Beginning with foundational Java principles, the program guides participants through the Software Development Life Cycle (SDLC), Agile methodologies, and comprehensive Java programming. The learning journey advances systematically, covering Back End and Front-End Development, Testing, MEAN & MERN Stack, DevOps, Cloud Deployment, and delving into Advanced Topics, Emerging Tech, and AI. Through hands-on projects, assessments, and a culminating Capstone Project, participants acquire practical expertise, establishing a solid foundation for a successful career in Full Stack Development.

Delivery Elements

Modular learning, Focused skilling

Instructor led Training

Certified trainers with extensive industry experience, including professionals with software development companies. 

Cohort Based Skilling

Collaborative learning in cohorts, fostering a sense of community and engagement. Regular interactions, discussions, and peer learning enhance the skilling journey.

Virtual Labs and Projects

Participants engage in a diverse range of projects and virtual labs throughout the program, totaling over 4-5 projects and 11 labs. Virtual labs cover topics like Dockerizing applications and integrating Spring Boot with React.

Capstone Project

It involves the integration of front-end and back-end technologies, cloud deployment and the application of AI for chat system development.

Questions?

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