Launch an AI Hotdog Detector as a Serverless Python App
|
Learn how to launch an AI-powered hotdog detector as a serverless Python application. Explore how to use machine learning models for image classification and deploy them in a serverless environment, allowing for scalable and cost-effective predictions.
At a Glance
Have you ever wondered if a picture has a hotdog in it or not? Well, no longer do you have to wonder—you can now prove it! With this fun project, you’ll learn how to create and launch a web app in Python that tells you just that: whether or not a picture has a hotdog in it. Let’s settle the great debate once and for all, learning skills that can help you land your next big job or pursue your million dollar idea while you’re at it!
A Look At the Project Ahead
- Clone a GitHub repository through the command line, otherwise known as Terminal
- Create and launch a web app with Flask, a micro-framework for Python
- Describe the necessary frontend files that help in launching the app, such as the HTML, CSS and Javascript files
What You’ll Need
- Basic Python knowledge
- IBM Cloud account
- Basic HTML, CSS and Javascript (optional)
- GitHub account (optional)
Instructor
Other Contributors
Richard Ye, IBM
Weiqing Wang, IBM
User Reviews
Be the first to review “Launch an AI Hotdog Detector as a Serverless Python App”
Related Products
Django: Python Web Development Unleashed
Want to learn web development with Django? This course is perfect for beginners and intermediates aiming to build robust, portfolio-ready apps.
Python 201 – Interactively Learn Advanced Concepts in Python 3
Deepen your Python skills by learning advanced concepts interactively through hands-on exercises.
Essentials of Large Language Models: A Beginner’s Journey
This LLM for beginners course offers a working knowledge of the capabilities and types of LLM and practical experience of fine-tuning GPT2 on specific datasets.
Learn Intermediate Python 3
A course designed to teach you the basics of Python 3 from the ground up.
Mastering Data Analysis with Python Pandas
Explore advanced data manipulation and analysis techniques using Pandas in Python.
Advanced RAG Techniques: Choosing the Right Approach
The course explains advanced RAG concepts, showcasing their implementation through LangChain for enhanced practical learning and application.
There are no reviews yet.