
Explains AI text-to-app generation to build fully functioning apps from a single prompt in under a minute, showcasing five apps like sneaker marketplace and budget optimizer with no coding.
Discover ten chapters on text-to-app generation, from who it’s for and tools to prompts, step-by-step tutorials, five app projects, testing, monetizing, and final takeaways.
Identify your target audience—app developers, UI/UX designers, and entrepreneurs—and learn to generate an app in under a minute with text-to-app AI tools like Alta, without writing code.
Explore five text-to-app tools—Pico Apps, Alta, Foxy Apps, Z Brain, and Stat Block—to build simple web apps from plain language with free plans.
Discover how the AI text to app generator converts descriptive text into a ready-to-use app in minutes, with MVP use cases, no-code benefits, and early-stage limitations.
Craft clear and effective prompts because AI is not human; be descriptive and specific, outline the app objective and features, and reduce ambiguity when tracking sleeping durations.
Explore five app ideas powered by text-to-app ai generation, including a travel planner with bookings, a dining rating platform, a habit tracker, a fitness assistant, and a sleep duration tracker.
Explore Pico Apps, an AI text-to-app generator powered by GPT-4 with Meta GPT for building apps and chat bots, describe ideas, and deploy to a shareable link.
Build a GPT-powered business solutions and risk management app with Pico, using GPT Builder to generate solutions and perform risk calculations from user input.
Tests the business solution generator app for a web design agency, evaluating usability and presenting low-risk solutions like referrals, seo, client testimonials, and industry event networking to boost client acquisition.
Discover Alta's text-to-app generator to build a mobile app without coding, using templates or drag-and-drop, then connect data and brand with logo, colors, and fonts.
Create a sneaker marketplace app with Alta’s text-to-app AI, generating content and images, customizing style, and configuring screens for marketplace, product details, add-to-cart, and checkout.
Test the sneaker marketplace app for smooth functionality and a user-friendly interface, covering buy and sell flows, form submissions, image uploads, and chart interactions.
Learn to use Foxy App’s text-to-app generator to build lead magnet apps that capture leads with customizable forms and landing pages, embed on ecommerce sites, and nurture with automated emails.
Follow a step-by-step process to build a budget optimizer app using a template, craft prompts, design data output, and publish your app with ChatGPT data and GPT for API.
Test the budget optimizer app to verify functionality and usability for income, expenses, and debt inputs, and generate budget, debt payoff plans, emergency fund guidance, and savings or investments recommendations.
Explore how Zbrane AI's text-to-app generator imports data from documents, images, and APIs to build apps with GPT-4, GPT Neo X, and private data in minutes.
Build a private AI chat web app for product research with Brandseye, connecting a knowledge base and data sources, then edit and test in the next video.
Test a product research app to verify function and evaluate a user-friendly interface; explore scalability factors such as market demand, competitive landscape, target customers, profit margins, and durability.
Explore type block features to build shareable no-code apps with hosting, database, and deployment, enabling seo content, blog posts, emails, social posts, and newsletters on a free plan.
Build a social media ad copy generator app using type block, configure inputs for platform and product, set a persuasive prompt, customize style, and deploy for testing.
Perform testing on the ad copy generator app to ensure full functionality and a user-friendly experience, from save and publish to generating compelling e-commerce product descriptions.
Build a large language model app to generate Excel formulas with Dify AI, without coding, starting from blank or templates and publishing the result.
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 how to build AI & LLM app with Relevance AI
Learning how to build LLM Excel formula generator app with Dify AI
Learning how to build app with Bolt New & V0
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