
Learn to build a human-like voice assistant with custom commands using the alan ai platform and integrate it into a web app. JavaScript knowledge suffices.
Discover how alan ai powers an in-app voice assistant with alan studio, client sdk, and alan cloud, plus the alan air platform with libraries, components and tools.
Explore Alan Studio to craft voice scripts and JavaScript dialogs, use example projects for layout and testing, and harness Alan Playground to test across web and mobile.
Explore the course overview of a simple food ordering web page that evolves into a multi-modal voice, touch, and type app, with voice activities synchronized with visuals.
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/11WyYGdAl0xEJr2mtXREhsfR89zACMlgL/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1ipUVTr1oL1OyFQYbEZIr-5hCG7QeZLJG/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1ql2yLUO90ipjKP4OcANMRhFGJaZYSS1w/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1__9HZskBi7djj7nNlUKc0UrRm6dyjM8C/view?usp=sharing
Integrate Alan with any app using the Alan client SDK, add the Alan button, and test voice commands via web platform steps with JavaScript.
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1GlEKD9CVF_QFegrNDjzcYA7Nln86o-Uf/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1U1HPf-GSJCO_Z7LS060rxt1OjPxLDFbm/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1Um7zVp9ejuAHk4mHwSZ1Szu6A2T3czX_/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/12_KQqCjMfZ6pHXe_h8CJ_vy_ju7uAUBR/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1J_1_-kqlYBWThIyYl9_S-UhkSLFdZ-MX/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1Uq_xgfSRDYmfEpCZZLUHyEEW23Cr6OcG/view?usp=sharing
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1o9qsHsTFILSx_JiPt9WaOUDmS-iqS7dL/view?usp=sharing
Explore testing and debugging a voice assistant's dialogue using the debugging chat, flowchart, and Dialogflow layout in Allen Studio to map, run, and refine conversational branches and logs.
Save and manage multiple voice script versions, deploy them to development, testing, and production environments, and compare changes to build a multi-modal in-app voice assistant.
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1yqRe6kBsRAdlAkXBHgkwkrbXDnUb8UDJ/view?usp=sharing (App side only)
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1PlHw08JBl5VSrAl0LzuMtsvhoX4hMNmw/view?usp=sharing (App side)
https://drive.google.com/file/d/16tovNMPvAeuvCJxUwqmgO7h5ByY_ExIk/view?usp=sharing (Voice script)
Here is the link to the code examples shown in the video: https://drive.google.com/file/d/1ZIukV1wPlyZSbapx3behKR9yaLTBd1Iv/view?usp=sharing (App side)
https://drive.google.com/file/d/14e5GNAb8PT4ab5eXp5UrW7hWhL3ayr4P/view?usp=sharing (Voice script)
Discover voice analytics best practices to optimize your in-app voice assistant by using logs, phrase filters, and analytics to understand user behavior, detect dialog bottlenecks, and improve transcripts and interactions.
Learn to blend quantitative analytics with qualitative user interviews to plan and test voice assistant flows, using hypothesis-driven templates, think-aloud testing, and actionable deck-ready insights.
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In the Alan AI course, you will learn how to create a voice assistant using custom voice commands. Then, you will be able to integrate the voice assistant you've created into the app using the Alan AI Platform.
We've designed this course for anyone who wants to build a voice assistant that enables user to have human-like conversations.
Alan AI is a complete Voice AI Platform and the market leader for developers to deploy and manage in-app voice assistants, and voice interfaces for mobile and web apps
The voice assistant in the Alan Platform leverages AI (Artificial Intelligence) and ML (Machine Learning). However, you do not need any artificial intelligence or machine learning experience to complete this course. In the course, we will guide and cover how to design your very own voice user experience and build up to a voice-enabled app for a simple web application. Then you should be able to leverage this knowledge and embed a voice assistant to any other supported platform, leveraging your UI (User Interface). Including: web, iOS, Android, Flutter, Ionic, Cordova, React Native, and Microsoft PowerApps.
Once you completed the Alan AI course, you will be a certified voice assistant developer.
So we encourage you to take this course and be on your journey to creating your very own voice assistant using the Alan AI Platform! Let's get started.
If you have any questions, please reach out to support@alan.app