Course Meta
7 Weeks
Beginner
Python - Full Stack Developer
(5.0 /9 Rating)
  • 15 Lessons
  • 31 Students
Beginner
Python - Full Stack Developer
(5.0 /9 Rating)

Comprehensive training covering Django and Flask frameworks for backend development, along with frontend technologies like HTML, CSS, JavaScript, Jquery, Bootstarp, SQL Server, Cloud deployment(AWS), Django, Advance python, Python and frameworks like React.js or Vue.js for building dynamic user interfaces." " "

  • 15 Lessons
  • 31 Students
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Course Meta
9 Weeks
Intermediate
.NET Full Stack Developer
(5.0 /9 Rating)
  • 74 Lessons
  • 20 Students
Intermediate
.NET Full Stack Developer
(5.0 /9 Rating)

Course: In-depth curriculum encompassing ASP.NET Core for backend development, Blazor for interactive web UIs, and frontend technologies such as HTML, CSS, JavaScript, Jquery, Bootstarp, sql server, cloud deployment(AWS), ASP.NET MVC Core, C# equipping learners with the skills to develop robust and modern web applications across the full stack."

  • 74 Lessons
  • 20 Students
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Course Meta
4 Weeks
Beginner
Java - Full Stack Developer
(5.0 /9 Rating)
  • 8 Lessons
  • 20 Students
Beginner
Java - Full Stack Developer
(5.0 /9 Rating)

Course: Extensive program covering Spring Boot framework for backend development, React.js or Angular for frontend, along with foundational skills in HTML, CSS, JavaScript, Jquery, Bootstarp, sql server, cloud deployment (AWS), Spring boot, Core java enabling learners to build end-to-end web applications with Java technology stack.

  • 8 Lessons
  • 20 Students
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Course Meta
4 Weeks
Beginner
Cyber Security Online Course
(5.0 /9 Rating)
  • 24 Lessons
  • 95 Students
Beginner
Cyber Security Online Course
(5.0 /9 Rating)

This course serves as an introduction to the field of cybersecurity, covering fundamental concepts, techniques, and best practices for securing digital systems and data. Students will gain a comprehensive understanding of the threats facing modern computer systems and networks, as well as the strategies and tools used to defend against these threats." "

  • 24 Lessons
  • 95 Students
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Course Meta
5 Weeks
Beginner
AWS
(5.0 /9 Rating)
  • 28 Lessons
  • 12 Students
Beginner
AWS
(5.0 /9 Rating)

AWS courses provide comprehensive training in cloud computing, covering various services and tools offered by Amazon Web Services. Learn essential skills for managing cloud infrastructure, deploying applications, and optimizing performance through hands-on exercises and expert guidance.

  • 28 Lessons
  • 12 Students
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Course Meta
2 Months
Beginner
DevOps
(5.0 /9 Rating)
  • 21 Lessons
  • 10 Students
Beginner
DevOps
(5.0 /9 Rating)

Containerization: Dive into Docker and Kubernetes for container management. Infrastructure as Code (IaC): Harness the power of Terraform for infrastructure management. Monitoring and Logging: Learn effective monitoring, logging, and alerting strategies.

  • 21 Lessons
  • 10 Students
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Course Meta
3 Months
Beginner
POWER BI
(5.0 /9 Rating)
  • 6 Lessons
  • 20 Students
Beginner
POWER BI
(5.0 /9 Rating)

The Microsoft Power BI courses listed cover data visualization, business intelligence, and analytics, enhancing skills needed for advanced data analysis and reporting in diverse professional settings.

  • 6 Lessons
  • 20 Students
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Course Meta
3 Months
Beginner
DATA ANALYTICS IN EXCEL
(5.0 /9 Rating)
  • 4 Lessons
  • 20 Students
Beginner
DATA ANALYTICS IN EXCEL
(5.0 /9 Rating)

Understand Data Analytics Fundamentals: Learn the basic principles and terminology of data analytics, including types of data, data sources, and the data analysis process. Explore Data Collection and Preparation: Gain hands-on experience in collecting, cleaning, and preprocessing data to make it suitable for analysis. Master Exploratory Data Analysis (EDA): Learn how to explore and visualize data using statistical techniques and visualization tools to uncover patterns and relationships. Introduction to Statistical Analysis: Acquire a foundational understanding of statistical methods commonly used in data analytics, such as descriptive statistics, hypothesis testing, and regression analysis. Discover Machine Learning Basics: Explore fundamental machine learning algorithms for predictive modeling, classification, clustering, and regression.

  • 4 Lessons
  • 20 Students
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