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Course Meta
DevOps Course
(4.7 /5 Rating)
  • What is DevOps?
  • DevOps for Business
  • Git, GitHub Actions
  • Introduction to Continuous Integration
  • Introduction & Setup
  • Introduction to Docker & Containers
  • Introduction & Architecture
  • Accessing the Command Line
  • CI/CD pipeline using Jenkins + Git + Maven
  • 50 Hours
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Course Meta
DevOps + AWS Course
(4.9 /8 Rating)
  • Core principles and business value of DevOps for teams and organizations
  • Source code management and automation using Git & GitHub Actions
  • Continuous Integration and Continuous Delivery with Jenkins pipelines
  • Configuration management and infrastructure automation using Ansible
  • Containerization and deployment of scalable applications with Docker & Kubernetes
  • 90 Hours
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Course Meta
Python Course
(5.0 /7 Rating)
  • History & Features of Python
  • Installing Python, IDEs (IDLE, VS Code, PyCharm, Jupyter)
  • Variables, Constants, Data Types
  • Conditional Statements (if, if-else, elif)
  • Looping
    • for loop, while loop
    • Nested loops
  • Indexing, Slicing, String Methods
  • 45 Hours
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Course Meta
PowerBI Course
(4.7 /5 Rating)
  • Introduction to Power BI
  • Getting familiar with Terminologies and Interface
  • Supported Data Sources
  • Overview of Data and Relationship Views
  • Data Anamolies
  • Using DAX
  • 30 Hours
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Course Meta
AWS Course
(4.8 /9 Rating)
  • Client-Server Computing Concepts
  • Challenges with Distributed Computing
  • Linux server setup in AWS
  • Compute – EC2 (AMI, Pricing Models, Security, Metadata, ENIs)
  • IAM (Users, Groups, Roles, MFA, KMS)
  • Installation & Configuration (Windows/Linux)
  • 50 Hours
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Course Meta
Java Full stack Course
(4.7 /5 Rating)
  • To gain knowledge of the most recent web development technologies.
  • To design and analyze real-time web applications.
  • To construct suitable client-side and server-side applications.
  • To understand core concepts of both front-end and back-end programming.
  • 60 Hours
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Course Meta
AI / Machine Learning Course
(4.7 /5 Rating)
  • What is ML? Difference between AI, ML, and DL
  • Scalars, Vectors, Matrices, Tensors
  • Data Collection & Cleaning
  • Data Visualization (Histograms, Boxplots, Scatterplots, Heatmaps)
  • Simple & Multiple Linear Regression
  • 60 Hours
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Course Meta
Automation Testing Course
(4.7 /5 Rating)

  • Grasp Java basics needed for Selenium work

  • Understand OOPs: classes, objects, inheritance

  • Learn collections and exception handling

  • 40 Hours
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Course Meta
MySQL Course
(4.7 /5 Rating)
  • Install and configure MySQL
  • Learn basics of SQL syntax
  • Use INSERT, UPDATE, DELETE
  • Write joins for related tables
  • Create users and assign roles
  • Set permissions for safety
  • Connect MySQL with Python or Java
  • Use MySQL in BI dashboards
  • 45 Hours
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Course Meta
Python Full Stack Developer
(4.7 /5 Rating)
  • Learn Python from scratch with real-world coding practices
  • Build backend applications using Django and Flask
  • Create and consume REST APIs
  • Work with SQL databases using ORM
  • Understand frontend basics including HTML, CSS, and JavaScript
  • Get exposure to deployment and developer tools such as Git and Docker basics
  • 60 Hours
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