Landing.AI for Beginners: Build Data Visualization AI Models

Landing.AI for Beginners: Build Data Visualization AI Models

Instructor: Mo Rebaie

What you'll learn

Utilize LandingLens's core features for computer vision and generative AI projects
Build and deploy visual prompting models using LandingLens
Apply object detection, segmentation, and classification models in LandingLens

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

There is 1 module in this course

In this 1-hour long project-based course, you'll step into the exciting field of Computer Vision and Generative AI using the LandingLens platform. We'll start by exploring the concept of visual prompting, and initiating a visual prompting project. LandingLens simplifies the model creation, training, and deployment process, making it a user-friendly platform for this endeavor.

This project will lead you to build and deploy various models like object detection, segmentation, and classification, with hands-on tasks guiding you through the steps of uploading data, labeling, training, and deploying your models both on the cloud and an edge device. It's tailored for a broad audience - students, professionals, freelancers, and business leaders keen on exploring the combined power of Computer Vision and Generative AI. With no stringent prerequisites, anyone comfortable with online platforms can navigate through this project successfully, gaining practical insights into visual prompting and model deployment.

By the end of this project, learners will be able to create, train, and deploy computer vision models using LandingLens for object detection, segmentation, classification, and visual prompting, both on cloud platforms and edge devices.