Welcome to The Future of App Development: Text to App AI Generation course. Here, in this course, you will be fascinated by how far artificial intelligence has advanced nowadays. If I told you last year that you can build a fully functioning app from just a single text prompt, most likely, you won’t believe that technology actually exists. However, what if I told you that today you actually can utilise AI to generate a fully functioning app without having to write a single line of code and with just a single AI prompt describing how the app should look and in a couple seconds AI can generate the app that you want. That’s exactly what you are going to learn in this course, you will extensively learn how to use Pico Apps, Alta, Foxy Apps, ZBrain, and Type Block which are AI texts to app generators to build your own custom app in less than a minute. In the introduction session, you will learn the basic fundamentals of AI text to app generation, you will get to know its use cases, how it works, as well as its limitations and capabilities that you should be aware of. Then, continue by learning how to write clear and effective prompts as it is going to be very essential since the clarity of the instruction will impact the output generated by AI. Afterward, you will also get to know several app ideas to build that you might want to consider when it comes to building your own app project. Before building our app projects, you will be fully guided step by step to learn how to use all AI text to app generator and once you have all the knowledge and skills required, we will begin the most exciting part which is building five app projects from scratch using Pico Apps, Alta, Foxy Apps, Z Brain, and Type Block. Once all those apps have been built, we will be conducting testing to make sure that those apps have been fully functioning and most importantly those apps are easy and comfortable to be used by the users. There will be three main app testing objectives that we will be concentrating on and those are functionality testing, user experience testing, and performance testing. Lastly, at the end of the course, you will get to know several business models that you can consider to start by leveraging these AI technologies to their fullest extents.
First of all, before getting into the course, it would be very essential for us to ask this question. Why should we learn to build an app using AI text to app generators? I don’t know about you but to me learning this latest AI technology will not only enable me to automate app development process which saves a lot of of time but also to reduce spending, considering there are a lot of people coming from non technical background who want to build app but they do not have programming or app development skills which left them with no option beside hiring costly app developer, hence, by using this tool, those people would be able to reduce their spending very significantly as they will be outsourcing the app development works to AI.
Below are things that you will learn from this course:
Learning the basic fundamentals of AI text to app generator, getting to know its use cases, as well as its capabilities and limitations that you need to be aware of
Learning how to write clear and effective prompts for AI text to app generator
Getting to know several app ideas to build
Learning how to build business solution & risk management app using Pico
Learning how to build marketplace app using Alta
Learning how to build budget optimiser app using Foxy Apps
Learning how to build product research app using ZBrain
Learning how to build ad copy generator app using Type Block
Learning about app testing objectives: functionality testing, user experience testing, and performance testing
Learning about several business models that you can start leveraging AI text to app generator tools
Welcome to The Future of App Development: Text to App AI Generation course. Here, in this course, you will be fascinated by how far artificial intelligence has advanced nowadays. If I told you last year that you can build a fully functioning app from just a single text prompt, most likely, you won’t believe that technology actually exists. However, what if I told you that today you actually can utilise AI to generate a fully functioning app without having to write a single line of code and with just a single AI prompt describing how the app should look and in a couple seconds AI can generate the app that you want. That’s exactly what you are going to learn in this course, you will extensively learn how to use Pico Apps, Alta, Foxy Apps, ZBrain, and Type Block which are AI texts to app generators to build your own custom app in less than a minute. In the introduction session, you will learn the basic fundamentals of AI text to app generation, you will get to know its use cases, how it works, as well as its limitations and capabilities that you should be aware of. Then, continue by learning how to write clear and effective prompts as it is going to be very essential since the clarity of the instruction will impact the output generated by AI. Afterward, you will also get to know several app ideas to build that you might want to consider when it comes to building your own app project. Before building our app projects, you will be fully guided step by step to learn how to use all AI text to app generator and once you have all the knowledge and skills required, we will begin the most exciting part which is building five app projects from scratch using Pico Apps, Alta, Foxy Apps, Z Brain, and Type Block. Once all those apps have been built, we will be conducting testing to make sure that those apps have been fully functioning and most importantly those apps are easy and comfortable to be used by the users. There will be three main app testing objectives that we will be concentrating on and those are functionality testing, user experience testing, and performance testing. Lastly, at the end of the course, you will get to know several business models that you can consider to start by leveraging these AI technologies to their fullest extents.
First of all, before getting into the course, it would be very essential for us to ask this question. Why should we learn to build an app using AI text to app generators? I don’t know about you but to me learning this latest AI technology will not only enable me to automate app development process which saves a lot of of time but also to reduce spending, considering there are a lot of people coming from non technical background who want to build app but they do not have programming or app development skills which left them with no option beside hiring costly app developer, hence, by using this tool, those people would be able to reduce their spending very significantly as they will be outsourcing the app development works to AI.
Below are things that you will learn from this course:
Learning the basic fundamentals of AI text to app generator, getting to know its use cases, as well as its capabilities and limitations that you need to be aware of
Learning how to write clear and effective prompts for AI text to app generator
Getting to know several app ideas to build
Learning how to build business solution & risk management app using Pico
Learning how to build marketplace app using Alta
Learning how to build budget optimiser app using Foxy Apps
Learning how to build product research app using ZBrain
Learning how to build ad copy generator app using Type Block
Learning about app testing objectives: functionality testing, user experience testing, and performance testing
Learning about several business models that you can start leveraging AI text to app generator tools
Welcome to the ".NET MAUI UI Challenges: AI Image Generator App" course. In this course, you will learn how to create the XAML file for a page from a Dribbble design, using .NET MAUI technology. Throughout the course, we will teach you how to translate a Dribbble design into a functional XAML file for your application.
In this course, we will focus on teaching you how to write XAML code, using the available resources in .NET MAUI. You will learn to understand the structure of the XAML file and how to use design components to create impressive application pages.
This course is suitable for both beginners and experienced developers. If you are new to .NET MAUI application development, this course will provide you with the necessary tools to start creating impressive application pages. If you are already an experienced developer, you will learn new techniques to improve your design skills and create more efficient applications.
By the end of the course, you will have the skills necessary to create XAML files for complex Dribbble designs, using the available resources in .NET MAUI. If you are ready to improve your application development skills and create impressive designs, then this course is for you!
Welcome to the ".NET MAUI UI Challenges: AI Image Generator App" course. In this course, you will learn how to create the XAML file for a page from a Dribbble design, using .NET MAUI technology. Throughout the course, we will teach you how to translate a Dribbble design into a functional XAML file for your application.
In this course, we will focus on teaching you how to write XAML code, using the available resources in .NET MAUI. You will learn to understand the structure of the XAML file and how to use design components to create impressive application pages.
This course is suitable for both beginners and experienced developers. If you are new to .NET MAUI application development, this course will provide you with the necessary tools to start creating impressive application pages. If you are already an experienced developer, you will learn new techniques to improve your design skills and create more efficient applications.
By the end of the course, you will have the skills necessary to create XAML files for complex Dribbble designs, using the available resources in .NET MAUI. If you are ready to improve your application development skills and create impressive designs, then this course is for you!
Swift , SwiftUI , CoreML( 機械学習 ) を使ってAI ( 人工知能 )アプリを作っていくコースです。
このコースではアニメ顔診断する iOS ( iPhone )アプリを作ります。
【コースの特徴】
・理論より直感的な説明
→理論はそこそこに、何ができるかに重きを置いて説明しています。
・実際にアプリを作る
→作ったアプリを改造するとオリジナルのアプリが作れます。
※作れるアプリは順次追加していきます
【習得内容】
・SwiftUIを使った AI ( 人工知能 )アプリの作り方
・アニメ顔診断アプリの作り方
【注意】
このコースは初歩的な内容は扱っていません。
初歩的な内容に関しては他のもので補ってください。
Xcodeは基本的にはMacOSでのみ作動します。
WindowsOSで動かす方法もあるのですが、このコースでは扱っていないのでご了承ください。
Swift , SwiftUI , CoreML( 機械学習 ) を使ってAI ( 人工知能 )アプリを作っていくコースです。
このコースではアニメ顔診断する iOS ( iPhone )アプリを作ります。
【コースの特徴】
・理論より直感的な説明
→理論はそこそこに、何ができるかに重きを置いて説明しています。
・実際にアプリを作る
→作ったアプリを改造するとオリジナルのアプリが作れます。
※作れるアプリは順次追加していきます
【習得内容】
・SwiftUIを使った AI ( 人工知能 )アプリの作り方
・アニメ顔診断アプリの作り方
【注意】
このコースは初歩的な内容は扱っていません。
初歩的な内容に関しては他のもので補ってください。
Xcodeは基本的にはMacOSでのみ作動します。
WindowsOSで動かす方法もあるのですが、このコースでは扱っていないのでご了承ください。
In this course, you will learn how to build a fully functional chat application with AI integration using Flutter. You will start by setting up the project and creating a theme for your app. Then, you will build the login and registration screens, including user authentication and data management with Firebase.
Next, you will learn how to implement a chat screen, including designing and implementing the landing screen UI, chat screen UI with StreamBuilder, and handling input messages. You will also learn how to use DALL-E API for image generation, parsing and displaying image response from the API, and saving ChatGPT response to Firestore.
In addition, you will learn how to add text-to-speech and speech-to-text functionality to your chat app using Elevenlabs API. You will also create a profile screen UI and add functions to the profile screen.
Finally, you will learn how to implement a post screen, including adding a grid view, creating a post widget, streaming shared posts from Firestore, and adding a like and comment function.
By the end of this course, you will have a complete understanding of how to build a chat application with AI integration using Flutter and will be equipped with the necessary skills to build your own chat app.
In this course, you will learn how to build a fully functional chat application with AI integration using Flutter. You will start by setting up the project and creating a theme for your app. Then, you will build the login and registration screens, including user authentication and data management with Firebase.
Next, you will learn how to implement a chat screen, including designing and implementing the landing screen UI, chat screen UI with StreamBuilder, and handling input messages. You will also learn how to use DALL-E API for image generation, parsing and displaying image response from the API, and saving ChatGPT response to Firestore.
In addition, you will learn how to add text-to-speech and speech-to-text functionality to your chat app using Elevenlabs API. You will also create a profile screen UI and add functions to the profile screen.
Finally, you will learn how to implement a post screen, including adding a grid view, creating a post widget, streaming shared posts from Firestore, and adding a like and comment function.
By the end of this course, you will have a complete understanding of how to build a chat application with AI integration using Flutter and will be equipped with the necessary skills to build your own chat app.
Plataforma web para la creación de aplicaciones móviles, curso ideal para personas que no tienen conocimiento de programación, sin embargo, ideal también para personas que conocen de herramientas no code. Una plataforma rápida para desarrollo de aplicaciones ANDROID. Es sumamente fácil de aprender por su lógica de armar bloques LEGO, conectando piezas sobre piezas, incluso ideal para niños mayores de 12 años en adelante.
MIT AI2 (App Inventor) es una plataforma de desarrollo de aplicaciones móviles que permite a cualquier persona crear aplicaciones para dispositivos móviles Android, sin necesidad de tener conocimientos previos en programación. La plataforma utiliza un enfoque visual de arrastrar y soltar bloques de código para crear aplicaciones, lo que hace que sea accesible para personas de todas las edades y habilidades.
AI2 fue desarrollado por el MIT (Instituto de Tecnología de Massachusetts) y se basa en el lenguaje de programación visual llamado Scratch, también desarrollado por el MIT. La plataforma cuenta con una amplia variedad de componentes predefinidos que permiten a los usuarios agregar funcionalidades a sus aplicaciones, como la cámara, el GPS, el almacenamiento local y las redes sociales.
Además, AI2 cuenta con una comunidad de usuarios activos y una gran cantidad de recursos educativos en línea, lo que facilita el aprendizaje y la resolución de problemas para aquellos que están comenzando a crear sus propias aplicaciones. En general, MIT AI2 es una herramienta poderosa y accesible para la creación de aplicaciones móviles, lo que la hace ideal para estudiantes, educadores y cualquier persona interesada en la tecnología móvil.
Plataforma web para la creación de aplicaciones móviles, curso ideal para personas que no tienen conocimiento de programación, sin embargo, ideal también para personas que conocen de herramientas no code. Una plataforma rápida para desarrollo de aplicaciones ANDROID. Es sumamente fácil de aprender por su lógica de armar bloques LEGO, conectando piezas sobre piezas, incluso ideal para niños mayores de 12 años en adelante.
MIT AI2 (App Inventor) es una plataforma de desarrollo de aplicaciones móviles que permite a cualquier persona crear aplicaciones para dispositivos móviles Android, sin necesidad de tener conocimientos previos en programación. La plataforma utiliza un enfoque visual de arrastrar y soltar bloques de código para crear aplicaciones, lo que hace que sea accesible para personas de todas las edades y habilidades.
AI2 fue desarrollado por el MIT (Instituto de Tecnología de Massachusetts) y se basa en el lenguaje de programación visual llamado Scratch, también desarrollado por el MIT. La plataforma cuenta con una amplia variedad de componentes predefinidos que permiten a los usuarios agregar funcionalidades a sus aplicaciones, como la cámara, el GPS, el almacenamiento local y las redes sociales.
Además, AI2 cuenta con una comunidad de usuarios activos y una gran cantidad de recursos educativos en línea, lo que facilita el aprendizaje y la resolución de problemas para aquellos que están comenzando a crear sus propias aplicaciones. En general, MIT AI2 es una herramienta poderosa y accesible para la creación de aplicaciones móviles, lo que la hace ideal para estudiantes, educadores y cualquier persona interesada en la tecnología móvil.