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GenAI and Model Selection

Master Generative AI model selection and integration. Learn to evaluate, choose, and implement the right GenAI models for your projects.

Master Generative AI model selection and integration. Learn to evaluate, choose, and implement the right GenAI models for your projects.

This comprehensive course on Generative AI (GenAI) model selection empowers professionals to make informed decisions about AI technologies. The curriculum covers evaluation of different GenAI models, their practical applications, and integration strategies. Through hands-on activities and real-world examples, learners develop skills in assessing model performance, understanding implementation requirements, and making strategic decisions about custom versus pre-built solutions. The course emphasizes practical applications and decision-making frameworks.

Instructors:

English

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GenAI and Model Selection

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Distinguish between different GenAI models and their applications

  • Use evaluation criteria to select suitable GenAI models for specific use cases

  • Make informed decisions about integrating Generative AI models into operational systems

  • Assess performance metrics and resource requirements for GenAI implementation

  • Understand the trade-offs between custom and pre-built AI solutions

Skills you'll gain

GenAI models
strategic decision-making
model evaluation
system integration
GANs
VAEs
transformers
performance metrics
model selection
implementation

This course includes:

57 Minutes PreRecorded video

1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This course provides a comprehensive guide to selecting and implementing Generative AI models in organizational settings. Students learn to evaluate different GenAI models, understand their applications, and make informed decisions about model selection. The curriculum covers key performance metrics, data requirements, and computational resources needed for successful implementation. Through practical examples and hands-on activities, learners develop skills in assessing model suitability and integrating GenAI solutions into existing systems.

Welcome to GenAI and Model Selection

Module 1 · 21 Minutes to complete

The Dynamic Applications of Generative AI Models

Module 2 · 36 Minutes to complete

Essential Success Criteria for GenAI Model Selection

Module 3 · 1 Hours to complete

Strategic Model Selection

Module 4 · 1 Hours to complete

Fee Structure

Instructor

antik patel
antik patel

474 Students

3 Courses

Expert in Data Analysis and AI

Antik Patel is a seasoned instructor on Coursera, specializing in advanced data analysis and generative AI. His courses are designed to equip learners with the skills needed to leverage AI technologies effectively in various applications

GenAI and Model Selection

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.