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GenAI in Business: Planning Framework for Implementation
Learn to spot high-value business problems for generative AI, match them with the right solutions, and integrate data for successful implementation.
Course Cost
Free course
Beginner
Skill Level
3 Hours
Self-paced lessons
This comprehensive course teaches business professionals how to identify and articulate the right business problems where generative AI can deliver maximum value. Following the "See, Plan, Act" framework in the "Generative AI in Business" series, this course focuses on the "Plan" phase of AI acquisition. Students learn to articulate business problems in terms of pain points and value levers, ensuring clarity for all stakeholders. The course guides participants through aligning these problems with specific generative AI solution types and capabilities, helping them choose the appropriate technology. Additionally, students develop a three-step roadmap to organize business data, evaluate its quality and readiness, and select the best approach for integration into their AI solution. By course completion, participants will have a detailed blueprint for implementing generative AI in their organization, with a clear understanding of the problem, required capabilities, necessary data, and integration strategy.
What you'll learn
Identify high-value business problems where generative AI can deliver maximum impact
Articulate business problems using pain points and value levers for stakeholder clarity
Align specific business problems with appropriate generative AI solution types
Develop a systematic approach to evaluating which problems are best suited for AI
Create a data roadmap to organize and integrate your business data with AI solutions
Assess data quality and readiness for AI implementation
Select the most effective methods for data integration with generative AI
Build a comprehensive blueprint for successful generative AI implementation
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
Batch access
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Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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.
There are 3 modules in this course
This course provides a structured approach to planning generative AI implementation in business contexts. The curriculum follows a three-part framework: Problem identification, Ability alignment, and Data integration (PAD). Students first learn to identify and articulate high-value business problems suitable for generative AI solutions, including techniques for evaluating potential value and difficulty. Next, they discover how to match business problems with appropriate generative AI capabilities and solution types across the AI spectrum. Finally, students develop skills to catalog organizational data, assess its readiness, and determine the best methods for integrating it into generative AI solutions. Throughout the course, practical examples and frameworks help translate theoretical concepts into actionable business strategies.
PAD Framework of GenAI Adoption: The Problem
Module 1 · 1 Hours to complete
PAD Framework of GenAI Adoption: The Ability
Module 2 · 41 Minutes to complete
PAD Framework of GenAI Adoption: The Data
Module 3 · 1 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
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