Are you one of those developers who have heard the buzzword about microservices, but you don't know where to start from? Or are you wondering if a microservices architecture is a right fit for your .NET project? Then this course is for you. Learn all about microservices architecture using .NET Core MVC and protect your project or team from the drawbacks of a monolithic application.
This course is designed for beginner-level students to create their first voice assistant in Python. If you have the questions: How to create a chatbot in Python? How to build a virtual assistant with Python? Then you are on the right course. This is a great small project to get you started (even if you have little or no prior knowledge in python) and a learning opportunity.
In this course, you will learn how to author machine learning models in Python without the aid of frameworks or libraries from scratch. Discover the process of loading data, evaluating models, and implementing machine learning algorithms.
Learn bash programming for Linux, Unix, & Mac. Learn how to write bash scripts like a pro & solve real-world problems!
This course focuses on Python 3 and uses modern Python 3.7 and Python 3.8. It is designed to support Python application development on Windows, macOS, and Linux. As Python 2 is no longer maintained by the Python development team, and there are no more security updates, the focus has now shifted to using Python 3.
Elevate your SQL skills with our comprehensive training course. Learn database management, query optimization, and data manipulation techniques. Enroll now to become proficient in SQL and propel your career in data-driven industries.
Build your own AI-driven image classifier web application
If you’re looking to start a career in coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before and are unsure of which programming language to focus on.
This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.
In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.