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Java Training (Versions 1.8, 17, and 21)

Java is one of the most popular and widely-used programming languages, known for its platform independence and scalability. Our Java training program is designed to give you a deep understanding of the language, covering various versions and features introduced in Java 1.8, 17, and the latest 21 version.

Course Highlights:

  1. Java 1.8: Lambda Expressions, Streams API, and Date/Time API for functional programming.
  2. Java 17: Sealed Classes, Pattern Matching, and performance improvements for enterprise applications.
  3. Java 21: Cutting-edge features, enhanced libraries, and Java security improvements.
  4. Java Spring Boot: A powerful, developer-friendly framework for building production-grade applications with minimal configuration.

What You’ll Learn:

  1. Core Java Concepts: Variables, Data Types, Loops, Functions, and Object-Oriented Programming (OOP)
  2. Boot Framework: Introduction to Spring Boot, setting up projects, and configuring Spring Boot applications
  3. Spring Boot Development: :Creating RESTful APIs, building microservices, and integrating with databases
  4. Spring Data JPA: Efficient data handling with Spring Data and JPA for database interactions
  5. Spring Security: Implementing authentication and authorization in web applications
  6. Spring Cloud: Building cloud-native applications and deploying them on cloud platforms
  7. Testing and Debugging: Unit testing with JUnit, integration testing, and application debugging
course

Tapan Pratap

Instructor
  • (4.7)
course
Best

Python Training

Python is one of the most versatile and powerful programming languages used across various fields, including web development, data science, artificial intelligence, and automation. Our Python course covers everything from the basics to advanced concepts, preparing you for a wide range of job roles.

Course Highlights:

  1. Python Fundamentals: Variables, Data Types, Loops, Functions
  2. Object-Oriented Programming (OOP) in Python
  3. Web Development with Django and Flask
  4. Data Manipulation with Pandas and NumPy
  5. Data Visualization with Matplotlib and Seaborn
  6. Introduction to Machine Learning using scikit-learn
  7. Automation and Scripting

What You’ll Learn:

  1. Python Syntax, Functions, and Libraries: Master Python syntax, create reusable functions, and explore popular libraries like NumPy and Pandas.
  2. File Handling and Exception Handling: Work with file operations, handle errors gracefully, and implement exception handling mechanisms.
  3. Object-Oriented Programming (OOP) Concepts: Learn the fundamentals of OOP, including classes, objects, inheritance, and polymorphism.
  4. Working with APIs and Web Scraping: Explore API integration and techniques for extracting data from web pages.
  5. Introduction to Data Science with Python: Understand data analysis, visualization, and basic statistical methods using Python.
  6. Machine Learning Algorithms and Models: Gain insights into supervised and unsupervised learning algorithms and their real-world applications.
  7. Developing Real-World Applications: Build and deploy end-to-end applications to solve real-world problems.
course

Biswakalyana Mohanty

Instructor
  • (4.7)
course
Best

DevOps Training

DevOps is essential for continuous integration, deployment, and automation of the software development lifecycle. Our comprehensive DevOps training equips you with the tools and skills necessary to bridge the gap between development and operations, enhancing collaboration and productivity.

Course Highlights:

  1. DevOps Concepts and Practices: Learn the principles of DevOps, focusing on collaboration, automation, and agile methodologies.
  2. Version Control with Git and GitHub: Master version control, branching, merging, and repository management using Git and GitHub.
  3. Continuous Integration and Continuous Delivery (CI/CD): Implement CI/CD pipelines to streamline development and deployment processes.
  4. Automation with Jenkins, Docker, and Kubernetes: Automate workflows, containerize applications, and orchestrate deployments using modern tools.
  5. Infrastructure as Code (IaC) with Terraform and Ansible: Manage infrastructure declaratively and automate configurations for scalable deployments.
  6. Monitoring and Logging Tools (Prometheus, Grafana): Use Prometheus and Grafana for real-time monitoring, visualization, and log analysis.
  7. Cloud Platforms: AWS, Azure, Google Cloud: Gain expertise in deploying and managing applications on leading cloud platforms.

What You’ll Learn:

  1. Key DevOps Principles and Tools: Understand foundational DevOps principles and essential tools for collaboration and automation.
  2. Setting up CI/CD pipelines using Jenkins: Learn to create and manage CI/CD pipelines for seamless integration and deployment processes.
  3. Containerization with Docker and Kubernetes: Master containerization, deployment, and orchestration using Docker and Kubernetes.
  4. Cloud Infrastructure Management: Explore techniques for managing and optimizing cloud-based infrastructure effectively.
  5. Automation and Configuration Management with Ansible and Terraform: Automate infrastructure and manage configurations using modern IaC tools.
  6. Real-Time Monitoring and Alerting: Set up monitoring and alerting systems to ensure application performance and reliability.
  7. Working with Cloud Platforms (AWS, GCP, Azure): Gain proficiency in deploying and managing applications on major cloud platforms.
course

Biswakalyana Mohanty

Instructor
  • (4.7)
course
Best

AWS Training (Amazon Web Services)

Amazon Web Services (AWS) is the leading cloud computing platform, offering a broad set of cloud-based services. Our AWS training program covers everything from basic cloud concepts to advanced cloud architecture, security, and serverless computing. Whether you're starting in cloud computing or aiming for AWS certification, this course will provide you with a strong foundation.

Course Highlights:

  1. Introduction to AWS Core Services (EC2, S3, RDS, Lambda): Learn the foundational AWS services and their applications in cloud computing.
  2. Virtual Private Cloud (VPC) and Network Security: Understand networking in AWS, including VPC configuration and securing network access.
  3. Identity and Access Management (IAM): Manage users, roles, and permissions to secure access to AWS resources.
  4. Serverless Computing with AWS Lambda: Develop and deploy serverless applications using AWS Lambda for event-driven architectures.
  5. Automation and Infrastructure Management with CloudFormation: Automate infrastructure provisioning and management using AWS CloudFormation templates.
  6. AWS Cost Optimization and Best Practices: Optimize costs and follow best practices for efficient AWS resource utilization.

What You’ll Learn:

  1. Setting up and Managing EC2 Instances and S3 Buckets: Deploy and manage virtual servers and scalable storage solutions on AWS.
  2. Cloud Networking: VPC, Subnets, Security Groups: Configure virtual private clouds, subnets, and security groups for secure and efficient networking.
  3. Working with Databases: RDS, DynamoDB: Manage relational and NoSQL databases with AWS RDS and DynamoDB services.
  4. Serverless Solutions with Lambda and API Gateway: Build scalable, serverless applications using AWS Lambda and API Gateway.
  5. Automating Infrastructure with CloudFormation: Automate provisioning and management of AWS infrastructure with CloudFormation templates.
  6. Security and Identity Management with IAM: Implement robust security and access control using AWS Identity and Access Management (IAM).
  7. Cloud Monitoring with AWS CloudWatch: Monitor, log, and manage AWS resources and applications in real time with CloudWatch.
  8. Best Practices for AWS Cost Management: Optimize costs and implement strategies for efficient AWS resource usage.
course

Biswakalyana Mohanty

Instructor
  • (4.7)