A Study Jam is a collective learning program combining practical developer experience with Google Cloud expertise.
Attendees will receive free access to hands-on labs via Qwiklabs, which mirrors a real-life working environment.
- Free access to Qwiklabs hands-on labs, a $55+ value
- Earn Google Cloud badges to show your skills and expertise
- No need to register with a credit card
Dec 15, 2020, 4:00 – 5:30 PM
About this event
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world-class speed and accuracy via systems that can be utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
This Quest has 5 steps.
Complete all of the labs in the session’s quest, and you’ll earn an additional free month of access to Qwiklabs as well as a badge for your online profile.
Together we will do one workshop. You will do the rest by yourself. But if you need help you can sign up/subscribe at this YouTube channel https://bit.ly/AheadOfTech where I will upload videos with the steps.
1. AI Platform: Qwik Start
In this lab, you train and deploy a TensorFlow model to AI Platform for serving (prediction). Watch these short videos Harness the Power of Machine Learning with AI Platform and AI Platform: Qwik Start - Qwiklabs Preview.
1 hour, Introductory, 1 Credit
2. APIs Explorer: Qwik Start
In this lab, you'll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.
30 minutes, Introductory, 1 Credit
3. Classify Images of Clouds in the Cloud with AutoML Vision
AutoML Vision helps developers with limited ML expertise train high-quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
2 hours, Advanced, 7 Credits
4. Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
The Cloud Vision API lets you understand the content of an image by encapsulating powerful machine learning models in a simple REST API. In this lab, you’ll send an image to the Cloud Vision API and have it identify objects, faces, and landmarks.
30 minutes, Advanced, 7 Credits
5. Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
In this lab, you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.