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We're here to help you find itPrompt Engineering for Vision Models Course Overview
Unlock the power of visual AI with our Prompt Engineering for Vision Models course. In just one day, dive into the latest techniques that are revolutionizing Image generation, Segmentation, and Object detection. You'll gain hands-on experience with cutting-edge models like Meta's SAM, OWL-ViT, and Stable Diffusion 2.0. Learn how to tailor these models to your needs using DreamBooth for fine-tuning, enhancing personalization in your projects. Whether it’s generating unique images or refining AI's understanding through Iterative prompting and experiment tracking with Comet, this course prepares you to implement practical, impactful AI solutions in various visual tasks. Equip yourself to lead in the AI-driven visual landscape!
Purchase This Course
USD
View Fees Breakdown
Course Fee | 750 |
Total Fees |
750 (USD) |
USD
View Fees Breakdown
Course Fee | 575 |
Total Fees |
575 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure you are well-prepared and can benefit maximally from the Prompt Engineering for Vision Models course at Koenig Solutions, here are the minimum required prerequisites:
These prerequisites are intended to ensure you have a smooth learning experience and can fully engage with the advanced content of the course.
Learn essential skills in prompt engineering for vision models such as SAM, OWL-ViT, and Stable Diffusion 2.0, aimed at enhancing AI-driven image processing and customization.
Target Audience:
Introduction to Course Learning Outcomes and Concepts: In this one-day course, you will master prompt engineering for various vision models, employing techniques like image generation, segmentation, object detection, and fine-tuning with DreamBooth, enhanced by experiment tracking using Comet.
Learning Objectives and Outcomes: