Fractal Analytics
Leadership Strategies for AI and Generative AI Specialization
Fractal Analytics

Leadership Strategies for AI and Generative AI Specialization

AI Adoption Strategies for Business Leaders. A CEO' Perspective for AI Adoption and Generative AI Implementation

Sray Agarwal
Rasesh Shah
Fractal Analytics Academy

Instructors: Sray Agarwal

Included with Coursera Plus

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Get in-depth knowledge of a subject
4.3

(37 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.3

(37 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Evaluate potential applications of generative AI across diverse business domains.

  • Integrate generative AI into business operations effectively, considering data privacy and ethical implications.

  • Establish KPIs, interpret data-driven insights, and devise optimization strategies for generative AI initiatives.

Overview

What’s included

Shareable certificate

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Taught in English
41 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Fractal Analytics

Specialization - 4 course series

What you'll learn

  • Definition and distinguishing features of generative AI

  • Core concepts of GANs and VAEs

  • Role of data and training in generative models

  • Strategic framework for integrating generative AI into business

Skills you'll gain

Responsible AI, Generative Model Architectures, AI Product Strategy, Governance, Strategic Leadership, Key Performance Indicators (KPIs), Data Ethics, Customer Engagement, Customer experience improvement, Business Marketing, Corporate Strategy, Business Strategy, Generative AI, and Business Leadership

What you'll learn

  • Explain key components for driving desired outcomes from AI

  • Explain strategies for error reduction and accuracy improvement in AI

  • Gain insights into optimizing organizational effectiveness in AI adoption

Skills you'll gain

Design Thinking, User Centered Design, Data Quality, Data Pipelines, Ethical Standards And Conduct, Deep Learning, Responsible AI, Artificial Intelligence, Strategic Decision-Making, Generative AI, Governance, Business Leadership, Business Strategy, Human Centered Design, Organizational Strategy, Data Ethics, Technology Strategies, Data Strategy, and Organizational Development

What you'll learn

  • Discuss responsible AI principles and their significance in technology, including ethical considerations, fairness, transparency, and accountability.

  • Apply techniques to identify, address, and mitigate bias in AI algorithms and data, promoting fairness and inclusivity in AI systems.

  • Interpret and explain AI decisions, balancing accuracy and explainability to foster trust and accountability in AI systems.

  • Discuss accountability, ethical AI governance, privacy considerations, security measures in the development & deployment of responsible AI systems.

Skills you'll gain

Responsible AI, Data Governance, Information Privacy, Data Ethics, Data Security, Complex Problem Solving, Mitigation, Critical Thinking, Governance, Ethical Standards And Conduct, Accountability, Personally Identifiable Information, and Artificial Intelligence

What you'll learn

  • Explain the lifecycle of DS project and role of structured thinking in DS project.

  • Define a problem statement using the SMART framework. Explain the activities, best practices, and pitfalls in the implementation phase.

  • Construct MECE issue tree to break-down business problems into parts. Create a problem statement worksheet to scope business problems.

  • Explain the role of human centered design during solutioning of business problems.

Skills you'll gain

Problem Solving, Creative Problem-Solving, Decision Making, Empathy, Data Science, Analytical Skills, Critical Thinking, Complex Problem Solving, Human Centered Design, and Data Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Sray Agarwal
Fractal Analytics
1 Course1,474 learners
Rasesh Shah
Fractal Analytics
1 Course2,372 learners
Fractal Analytics Academy
Fractal Analytics
23 Courses106,370 learners

Offered by

Fractal Analytics

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