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.
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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
This course includes:
57 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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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 · 6 Minutes to complete
The Dynamic Applications of Generative AI Models
Module 2 · 21 Minutes to complete
Essential Success Criteria for GenAI Model Selection
Module 3 · 56 Minutes to complete
Strategic Model Selection
Module 4 · 60 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Data Science Innovator Christopher Klaus Drives Technological Transformation Across Industries
Christopher Klaus has established himself as a multifaceted technology leader who combines expertise in data science, analytics, and engineering with visionary leadership across software, government, healthcare, education, and advertising sectors. His comprehensive approach encompasses mastery of cloud platforms including AWS, GCP, and Azure, while pioneering implementations of AI and machine learning solutions that drive strategic growth and operational excellence. As an educator and mentor, Klaus has demonstrated his commitment to fostering innovation through the development of educational programs and scholarly contributions, earning recognition through various honors and awards. His leadership philosophy emphasizes continuous learning and problem-solving, creating environments where teams can thrive while deploying advanced solutions that make lasting impacts across industries. Through his work in data analytics, governance, and engineering, Klaus continues to shape the future of technology while mentoring the next generation of innovators.
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