
Video: .MP4, 1280×720 | Audio: AAC, 44100 Hz, 2ch | Duration: 3h 3m
Genre: eLearning | Language: English | Size: 500 MB
Almost every mobile app needs to have authentication. Building a secure, scalable, and reliable authentication system and interface from scratch is a pain. Fortunately, the FirebaseUI Authentication library makes it easy to tackle this problem.
In this day and age, mobile apps need to have authentication for increased security. In this course, Android FirebaseUI Authentication with Kotlin, you will gain the ability to confidently add a variety of authentication options to your Android app. First, you will learn how to implement multiple different providers such as Google, Twitter, and Facebook. Next, you will discover how to create an anonymous experience in your app that allows users to explore key features before they decide to create an account. Finally, you will explore how to enable your users to manage their own accounts. When you are finished with this course, you will have the skills and knowledge of the FirebaseUI Authentication Library needed to create a seamless sign-in and account management experience in your Android apps.
Download rapidgator
https://rapidgator.net/file/9acf7199a0a5acc85a583955b31c2889/_PluralSight.Android.FirebaseUI.Authentication.with.Kotlin.rar.html
Download nitroflare
http://nitroflare.com/view/04E3644327857C6/_PluralSight.Android.FirebaseUI.Authentication.with.Kotlin.rar
Download 百度云
你是VIP 1个月(1 month)赞助会员,
转载请注明:0daytown » Android FirebaseUI Authentication with Kotlin
与本文相关的文章
- Master LLM APIs with C# & .NET: Build AI Apps Using OpenAI
- Mobilewright with TypeScript & AI – Mobile Automation
- Become an AI Engineer: Python for JavaScript Developers
- Houdini Explosion and Destruction: Introduction Course
- Unity 2D Game Development: Build a Cannon Shooter
- Python DSA: Sorting, Searching & Bit Manipulation
- Unreal Engine 5 2D Masterclass: Build 5 Complete Games
- Blender Essentials: Camera Basics
- Realistic Dragon in ZBrush: Sculpting and Textures with AI
- CUDA for Engineers: Accelerating Deep Learning PyTorch 2026
- Claude Code & Claude 5 AI: Prompt Engineering Masterclass
- The Complete Machine Learning & Deep Learning Bootcamp
