Python Course on OpenAI Whisper
Learn How to Use Whisper for Speech to Text
Do you want to learn how to create next-generation applications based on deep learning and AI sensing? OpenAI offers an easy-to-use and powerful Python framework called Whisper. This is a game-changer for every developer and tech business owner.
In this course, you'll learn how to use OpenAI's Whisper in Python - and integrate its powerful capabilities into your apps to lift them to the next level. Your users minds will be blown. 🤯
Here's what we'll cover:
- Lesson 1: Basics of OpenAI Speech to Text
- Learn the basics of how Whisper works.
- Start coding with Python to use Whisper.
- Understand how Whisper turns speech into text.
- Lesson 2: Building a Podcast Transcription App
- Create an app that can transcribe podcasts.
- Learn to integrate Whisper with other apps.
- See how Whisper can be useful for podcasts.
- Lesson 3: Making a Subtitle Generator
- Learn to make subtitles for videos.
- Build a tool that creates and adds subtitles automatically.
- Discover how to make videos more accessible.
- Lesson 4: Making Whisper Work Faster and Outsourcing
- Find out how to make Whisper work faster.
- Learn when and how to get help from outside sources.
- Balance between quick results and accurate transcriptions.
Course Features
- Learn by doing: code along and work on real projects.
- Lessons from experienced teachers and OpenAI experts.
- Join a group of learners and get help and advice.
- Learn at your own pace with online lessons.
- Get a certificate when you finish.
Who Should Join?
- If you're interested in coding and AI.
- If you work with data and want to learn about AI in data processing.
- If you create content and want to use AI to improve it.
- If you're just curious about AI and speech recognition.
How to Join?
Just click on the enrollment link below to sign up. 👇👇👇