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From Code To Cloud - Deploying A Java Web Application On AWS

12 Nov 2026   08:30 AM CST

  • Free Webinar
  • Live Q&A
  • Free Participation Certificate
  • Learn from Industry Experts

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Webinar Overview
Discover how to take a Java web application from your local development environment to the cloud! In this interactive webinar, you will explore how Amazon Web Services (AWS) enables developers to host and run Java applications in a scalable and reliable environment. Through a practical, step-by-step demonstration, you will learn the fundamentals of AWS EC2, Java application deployment and see how to make your application accessible through a web browser. Whether you are a Java developer, a student, or an aspiring cloud professional, this session will help you understand the real-world application of cloud computing and take your first step toward cloud-based application deployment.
Key Points

  • Introduction to AWS Cloud and Java Web Applications
  • Overview of AWS EC2 and Cloud Infrastructure
  • Setting Up and Configuring an EC2 Instance
  • Installing Java and Apache Tomcat
  • Deploying a Java Web Application on AWS
  • Configuring Security Groups and Network Access
Meet The Trainer
Vishakha Prakash Dhonde
Vishakha Prakash Dhonde

 

AWS DevOps Corporate Trainer with hands-on experience in designing, deploying, and managing scalable cloud infrastructure on Amazon Web Services. Skilled in DevOps tools and technologies including Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, Ansible, Linux, Prometheus, and Grafana. Experienced in implementing CI/CD pipelines, Infrastructure as Code (IaC), containerization, monitoring, and cloud security best practices.

Skilled in IBM API Connect for designing, securing, publishing, and managing APIs across the API lifecycle. Knowledge of REST APIs, JSON, XML, API security policies, product and plan creation, developer portals, and API analytics.

Familiar with Machine Learning fundamentals, data preprocessing, model development, evaluation techniques, and Python-based ML libraries

 

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