This course is part of Leadership Strategies for AI and Generative AI.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Leadership Strategies for AI and Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
What you'll learn
Define clear AI objectives and vision
Implement data engineering and design thinking
Establish AI governance and ethics frameworks
Build organizational effectiveness for AI
Develop focused AI implementation strategies
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Get a Completion Certificate
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There are 5 modules in this course
This executive-level course teaches strategic AI implementation through three foundational equations: AI adoption success through clear objectives, optimal results through data engineering and design thinking, and trustworthy implementation through accuracy and governance. Students learn to develop focused AI strategies, build effective organizations, and ensure ethical AI deployment.
Defining Success in Artificial Intelligence
Module 1 · 2 Hours to complete
The Synergy of AI, Engineering & Design
Module 2 · 2 Hours to complete
Errors in AI
Module 3 · 1 Hours to complete
Building Organizational Effectiveness in AI
Module 4 · 1 Hours to complete
Strategies for Successful AI Implementation
Module 5 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Leadership Strategies for AI and Generative AI
Instructors
Diverse, Industry-Focused AI and Data Science Courses
Fractal Analytics, as a leading Coursera partner, provides a comprehensive suite of online courses and professional certificates in English, covering topics such as Generative AI, data science, human behavior, coding, data storytelling, responsible AI, and quantum computing. Their offerings include foundational and advanced programs like "GenAI for Everyone," "Coding with Generative AI," "Data Frameworks for Generative AI," and "Python for Data Science," catering to learners from various backgrounds and industries. These courses are designed for continuous learning, blending instructor-led, eLearning, and blended formats, and aim to equip professionals and organizations with in-demand skills for the evolving digital economy, while also supporting career advancement through recognized certifications and practical, hands-on projects
Pioneering Analytics Leadership in Enterprise Decision-Making
Pranay Agrawal has established himself as a transformative leader in the analytics industry as Co-founder and CEO of Fractal Analytics. Under his leadership, Fractal has evolved into one of the world's most respected analytics companies, serving over 50 Fortune 500 clients and achieving a remarkable Net Promoter Score exceeding 70%. His vision of powering enterprise decisions through data and analytics has led to numerous accolades, including Forbes ranking Fractal as the 7th best-funded analytics company globally and recognition from the Great Place to Work Institute as the best company in the analytics industry. His academic credentials include an MBA from IIM Ahmedabad, a Bachelor's in Accounting from Bangalore University, and certification as a Financial Risk Manager from GARP. Through his leadership, Fractal has earned distinctions as a "Cool Vendor in Analytics" by Gartner and a "Top Provider for Text Analytics" by Forrester for their product dCrypt. His expertise spans marketing analytics, CRM analytics, risk modeling, and predictive analytics, making him a pivotal figure in transforming how enterprises leverage data for decision-making.
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Frequently asked questions
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