747 Computing & IT courses

This updated course helps you to grasp the core concepts of the Cucumber behavior-driven development (BDD) framework from scratch. You will learn various automation terminologies, the process to integrate the Cucumber framework with Maven, Jenkins, and Selenium, and a lot of interesting topics that will help you to develop high-class automation test cases.

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

The goal of this course is to teach you how to deploy machine learning models in Flask. You'll also learn to deploy applications to the web. You'll learn to train your models, test them, and ensure that they are of the best quality.

Master C++ Programming with our comprehensive masterclass! From basics to advanced concepts like pointers, structures, and file handling, this course equips you to write efficient C++ code. Perfect for beginners and those looking to refresh their skills.

This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

Strengthen your command over C language

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.