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About Us

We are dedicated to providing high-quality, job-ready tech education. Our courses are designed by industry experts to ensure you gain practical skills and build a successful career.

We offer hands-on training and a supportive learning environment to help you succeed in today’s competitive tech industry. Whether you’re a beginner or an experienced professional, we’ve got the right path for you.

Explore Courses

Our Courses

Python Full Stack
1. Python Full Stack Developer

Course Overview: Become a job-ready full stack web developer using Python. Learn both front-end and back-end technologies to build dynamic, database-driven web applications from scratch.

What You'll Learn:

  • HTML, CSS, JavaScript, and React for front-end
  • Python, Django/Flask for back-end
  • RESTful API development
  • Database integration (PostgreSQL, MySQL, MongoDB)
  • Deployment using Docker and cloud platforms
  • Git, GitHub & CI/CD

Career Roles: Full Stack Developer, Python Web Developer, Software Engineer

Prerequisites: Basic programming knowledge recommended.

DevOps
2. DevOps Engineer

Course Overview: Master the tools, technologies, and practices that enable rapid and reliable software delivery. This course covers DevOps fundamentals, CI/CD pipelines, automation, and infrastructure as code.

What You'll Learn:

  • Linux fundamentals & Shell scripting
  • Git, GitHub & version control
  • Jenkins for continuous integration
  • Docker & Kubernetes for container orchestration
  • Infrastructure as Code (Terraform, Ansible)
  • Monitoring (Prometheus, Grafana)

Career Roles: DevOps Engineer, Site Reliability Engineer (SRE), Infrastructure Engineer

Prerequisites: Familiarity with coding and basic cloud concepts.

Python Full Stack
3. Cloud (AWS, GCP & Azure)

Course Overview: Gain hands-on experience with the top three cloud platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Learn how to deploy, manage, and scale applications in the cloud.

What You'll Learn:

  • Core cloud concepts (IaaS, PaaS, SaaS)
  • Virtual machines, storage & networking
  • AWS: EC2, S3, Lambda, RDS, IAM
  • Azure: VMs, Blob storage, Azure Functions, DevOps
  • GCP: Compute Engine, Cloud Storage, App Engine, BigQuery
  • Multi-cloud architecture basics

Career Roles: Cloud Engineer, Solutions Architect, Cloud Consultant

Prerequisites: Basic IT knowledge, familiarity with virtualization.

Data Science
4. Data Science

Course Overview: Build a solid foundation in data science with Python. Learn to analyze, visualize, and model data to solve real-world problems and extract insights.

What You'll Learn:

  • Python for data science
  • Numpy, Pandas, Matplotlib, Seaborn
  • Exploratory Data Analysis (EDA)
  • Machine Learning with Scikit-learn
  • Supervised & unsupervised learning
  • Model evaluation and deployment

Career Roles: Data Scientist, Machine Learning Engineer, AI Specialist

Prerequisites: Basic programming and math (linear algebra, statistics).

Data Analysis
5. Data Analysis

Course Overview: Learn to collect, clean, and interpret data to support decision-making. Master the tools analysts use daily to provide data-driven insights.

What You'll Learn:

  • Data wrangling with Excel, SQL & Python
  • Visualization with Tableau / Power BI
  • Pandas & Numpy for data manipulation
  • Business metrics & KPIs
  • Reporting and dashboards

Career Roles: Data Analyst, Business Intelligence Analyst, Reporting Specialist

Prerequisites: None — beginner-friendly.

Data Engineering
6. Data Engineering

Course Overview: Become a data engineer who builds robust data pipelines and architecture to support analytics and machine learning. This course focuses on scalable, real-time, and batch processing systems.

What You'll Learn:

  • Data warehousing (Snowflake, BigQuery, Redshift)
  • ETL/ELT concepts with Apache Airflow
  • Data pipeline building with Python & Spark
  • SQL optimization & database design
  • Kafka for data streaming
  • Cloud data services (AWS Glue, Azure Data Factory, GCP Dataflow)

Career Roles: Data Engineer, ETL Developer, Big Data Engineer

Prerequisites: Intermediate SQL & Python skills are helpful.

Software Testing
7. Software Testing

Course Overview: Learn manual and automated testing techniques to ensure software quality, functionality, and performance.

What You'll Learn:

  • Manual Testing fundamentals
  • Test planning, design, and execution
  • Defect tracking and reporting
  • Introduction to automation tools
  • Agile & SDLC methodologies

Career Roles: QA Engineer, Test Analyst, Software Tester

End-to-End (E2E) testing frameworks that commonly use the Page Object Model (POM) design pattern

Selenium with Java
8. Selenium with Java

Course Overview: Automate web applications using Selenium WebDriver with Java to perform robust functional and regression testing.

What You'll Learn:

  • Java basics for testers
  • Selenium WebDriver setup & locators
  • Handling alerts, frames & dynamic elements
  • TestNG framework integration
  • Page Object Model (POM) design pattern
  • Cross-browser testing

Career Roles: Automation Tester, QA Engineer, Test Automation Specialist

End-to-End (E2E) testing frameworks that commonly use the Page Object Model (POM) design pattern

Cypress with JavaScript
9. Cypress with JavaScript

Course Overview: Learn end-to-end testing with Cypress using JavaScript, built for modern web applications with fast execution.

What You'll Learn:

  • JavaScript basics for testing
  • Cypress installation & setup
  • DOM interactions and assertions
  • API testing with Cypress
  • Fixtures, custom commands, and plugins
  • Continuous Integration with Cypress

Career Roles: Test Automation Engineer, Frontend QA Engineer, JavaScript Tester

End-to-End (E2E) testing frameworks that commonly use the Page Object Model (POM) design pattern

Playwright with JavaScript
10. Playwright with JavaScript

Course Overview: Automate modern web apps with Microsoft Playwright for fast, reliable, cross-browser testing using JavaScript.

What You'll Learn:

  • JavaScript essentials for Playwright
  • Playwright setup & test execution
  • Cross-browser automation (Chromium, Firefox, WebKit)
  • Handling multiple tabs, frames & network requests
  • API testing & parallel execution
  • CI/CD pipeline integration

Career Roles: QA Automation Engineer, Web Test Engineer, SDET

End-to-End (E2E) testing frameworks that commonly use the Page Object Model (POM) design pattern

✨ Student Reviews ✨

👩‍🏫 Meet Our Teachers 👨‍🏫

Jane Doe
Jane Doe

Lead Python Instructor

10+ years of experience in software development.

John Smith
John Smith

DevOps and Cloud Expert

Certified AWS and Azure architect.

Emily White
Emily White

Data Science Instructor

Ph.D. in Machine Learning.

📩 Get in Touch

Contact Information

102 A,Rama nilayam, balkmpeth, Hyderabad

6281047674

contact@gradiscentacademy.com

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