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.

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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.

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

Syllabus

Work with LandingLens on Visual Prompting and Computer Vision

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.

AI

Artificial Intelligence

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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