400 MySQL Interview Questions with Answers 2026

Hello there,Welcome to React Native: Learn React Native With Hands-On Practices course.Learn React Native from scratch. Use ReactNative for mobile development deep dive into React-Native with React courseReact-Native is a library developed by the React team and it is widely used to create mobile applications for both Android and IOS. You do not need to learn Java, Android, Swift, Objective-C, or anything of that. React and JavaScript is all you need to create awesome mobile apps that work on both Android and iOS.Learning React Native is a great avenue through which to gain experience developing mobile apps. Udemy features top-rated React Native courses that take you through every level of the React Native framework, so that you can start writing better apps, faster.This react native course is for beginners. We will take you from beginner to advance level. You will learn React development step-by-step with hands-on demonstrations. To be able to benefit from this course, all you need is a basic understanding of JavaScript.In the react native course, we are going to tell you what dependencies you need to install and how in detail, to be able to create mobile apps on both MAC and Windows. We are going to use free tools and platforms so you don't have to buy any tool or app. You are going to learn how to run a react native Android and iOS simulator on your MAC or Windows computer.Later in the react native: learn react native with hands on examples. course, we are going to learn the basics of React. JSX, 'props system', and 'state system' are going to be crystal clear for you at the end of the course. We'll be creating nice-looking reusable components. So you will be able to use this reusable component on your own future projects.React Native enables programmers to write true native apps in JavaScript across multiple platform

Welcome to the AWS Identity and Access Management (IAM) Foundations Certification Course. In this course we will explore AWS Identity and Access Management (IAM). IAM is a very important part of understanding how to securely and efficiently manage the services and users within an AWS account. As defined by AWS, “AWS Identity and Access Management (IAM) is a web service that helps you securely control access to AWS resources. You use IAM to control who is authenticated (signed in) and authorized (has permissions) to use resources.”When creating an AWS account, the default account is the Root account. This root account has complete access to all AWS services and resources on the account. The root account should only be used to perform a few account and service management tasks.Each service deployed in an AWS account should only be accessible to users permitted to use the service. This course will explore the following components of IAM with hands-on exercises:Allowing multiple users to administer the resources in an AWS account without having to share passwords. Creating granular permissions for AWS users. This means each IAM user can be granted a different level of privileges for different resources in the AWS account. Applying IAM credentials to applications, thus providing the application with access to specified AWS services. Enabling Multi-Factor Authentication (MFA) for individual IAM Users.Enabling access records and logging for IAM Users using AWS CloutTrail. If you are interested in learning how to securely manage an AWS account using IAM, hit the enroll button and let's get started.

Apple in WWDC 20 introduced a new and cool extension to your apps in form of WidgetKit. iOS 15 and SwiftUI 3 added more horsepower to the framework. With app widget you can provide useful information about your app directly to your user's home screen. With this course you will learn all about widgets and what they have to offer. We will build various widgets of varying complexity in this course and learn about widgets while building them from start to finish.Join us in this journey and learn all about iOS widget kit. You will learn simple widgets to configurable widgets. You will build real weather app widget which will download the weather information from API and display that in small, medium and large size widgets.You will also work with Timelines and learn to schedule widget updates to display dynamic content on app widgets.According to Apple widgetkit is:Easily build widgets and make them available across iOS, iPadOS, and macOS using the WidgetKit framework and the new widget API for SwiftUI. Widgets now come in multiple sizes, and users can visit the new widget gallery to search, preview sizes, and place them anywhere on the Home screen to access important details at a glance. They can also add Smart Stacks — sets of widgets that use on-device intelligence to surface the right widget at the right moment, based on factors like time, location, and activity.

Image classification models find themselves in different places today, like farms, hospitals, industries, schools, and highways,... With the creation of much more efficient deep learning models from the early 2010s, we have seen a great improvement in the state of the art in the domain of image classification.In this course, we shall take you on an amazing journey in which you'll master different concepts with a step-by-step approach. We shall start by understanding how image classification algorithms work, and deploying them to the cloud while observing best practices. We are going to be using Tensorflow 2 (the world's most popular library for deep learning, built by Google) and HuggingfaceYou will learn:The Basics of Tensorflow (Tensors, Model building, training, and evaluation)Deep Learning algorithms like Convolutional neural networks and Vision TransformersEvaluation of Classification Models (Precision, Recall, Accuracy, F1-score, Confusion Matrix, ROC Curve)Mitigating overfitting with Data augmentationAdvanced Tensorflow concepts like Custom Losses and Metrics, Eager and Graph Modes and Custom Training Loops, TensorboardMachine Learning Operations (MLOps) with Weights and Biases (Experiment Tracking, Hyperparameter Tuning, Dataset Versioning, Model Versioning)Binary Classification with Malaria detection Multi-class Classification with Human Emotions DetectionTransfer learning with modern Convnets (Vggnet, Resnet, Mobilenet, Efficientnet)Model Deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)If you are

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Its flexible syntax enables developers to write short scripts while at the same time, they can use object-oriented concepts to develop very large projects.Tkinter is the de facto way in Python to create Graphical User interfaces (GUIs) and is included in all standard Python Distributions. In fact, it’s the only framework built into the Python standard library.This Python framework provides an interface to the Tk toolkit and works as a thin object-oriented layer on top of Tk. The Tk toolkit is a cross-platform collection of ‘graphical control elements’, aka widgets, for building application interfaces.Tkinter module provides Python users with a simple way to create GUI elements using the widgets found in the Tk toolkit. Tk widgets can be used to construct buttons, menus, data fields, etc. in a Python application. Once created, these graphical elements can be associated with or interact with features, functionality, methods, data or even other widgets.Tkinter provides various controls, such as buttons, labels and text boxes used in a GUI application. These controls are commonly called widgets.

Welcome to an in-depth exploration of DeepSeek R1, the groundbreaking AI model that’s redefining what’s possible with large language models. I’m Ole, an IT instructor from Berlin, Germany, and in this course, I’ll guide you through everything you need to know to master DeepSeek. You’ll discover what makes this model unique, how to optimize your workflow with it, and how to unlock its full potential for various real-world applications. Whether you're a developer, researcher, or AI enthusiast, this course will equip you with the skills to effectively integrate DeepSeek into your projects.But that’s not all—I'll also show you how to install DeepSeek locally on your system for offline use, ensuring full control over your AI environment. Plus, you’ll learn how to build a user-friendly visual interface that allows you to interact with the model just like ChatGPT. By the end of this course, you’ll have hands-on experience and the confidence to work with DeepSeek R1 efficiently, making it a powerful tool in your AI toolkit. Get ready to take your AI skills to the next level!TLDR:Gain a deep understanding of DeepSeek R1 and its unique capabilities.Learn how to install and run DeepSeek locally for offline use.Master effective workflows to maximize the model’s potential.Build a visual interface for seamless interaction