Learn HTML from scratch and get started as a web developer
5 day live online class Total duration: 15 hours Classes run once a month from 18:30-21:30 GMT (13:30-14:30 EST) over a 5 day period
Know Selenium WebDriver concepts, but need to know how to build a framework by putting together all the knowledge? Are you a quality assurance automation professional willing to intensify your current test automation skill sets? Are you looking to step into the automation industry with the latest technologies in the market? If the answer is yes, then this course is for you.
Learn to use cutting-edge language models ChatGPT, Dalle-2, and Midjourney to create high-quality written content and generative art in this course. Discover how to fine-tune these models for specific tasks and explore the ethical implications and future-proofing strategies for using AI in your work.
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.
In this course, you'll learn the Ruby programming language from absolute beginner to advanced - in no time at all!
This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.
In this compact intermediate-level course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how Prophet works under the hood and the Prophet API. We will apply Prophet to a variety of datasets, including store sales and stock prices.
This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.