Courses | My Website

DevOps Tools and Practices

4.6

Outcome

Implement continuous integration and continuous deployment (CI/CD) pipelines.
Automate infrastructure management with tools like Terraform.
Use Docker for containerization and Kubernetes for orchestration.
Monitor and log application performance.
Deploy applications in various environments including cloud services.

Neural Networks and Deep Learning

Outcome

Build and train advanced neural network models.
Implement convolutional and recurrent neural networks.
Apply deep learning techniques to complex problems.
Understand the theory and application of deep learning algorithms.
Utilize industry-standard deep learning tools and frameworks.

Mastering Golf: Techniques & Strategies

Outcome

Develop a consistent and powerful golf swing.
Learn how to strategically navigate a golf course.
Gain insights into advanced golf strategies for competitive play.
Improve your putting, chipping, and pitching techniques.
Build confidence to play at a higher level in both casual and competitive settings.

0 students

4.5

Web Development With Python

Build full-fledged web applications using Python.
Understand the architecture of web applications.
Deploy web applications on cloud platforms.
Work with databases and ORM tools in Python.
Integrate third-party APIs into web projects.

This course provides an in-depth understanding of web development using Python, covering frameworks, front-end and back-end integration, and deployment techniques. Students will gain hands-on experience with Django, Flask, and other essential tools for building modern web applications.

4.6

DevOps Tools and Practices

Implement continuous integration and continuous deployment (CI/CD) pipelines.
Automate infrastructure management with tools like Terraform.
Use Docker for containerization and Kubernetes for orchestration.
Monitor and log application performance.
Deploy applications in various environments including cloud services.

This course provides an in-depth understanding of DevOps practices and tools. Learn how to implement continuous integration and delivery, automate deployment processes, and manage infrastructure efficiently.

Neural Networks and Deep Learning

Build and train advanced neural network models.
Implement convolutional and recurrent neural networks.
Apply deep learning techniques to complex problems.
Understand the theory and application of deep learning algorithms.
Utilize industry-standard deep learning tools and frameworks.

This advanced course delves into neural networks and deep learning techniques. It covers the architecture and application of deep learning models, including convolutional and recurrent neural networks.