Online Course – Certified Professional Internship in Google Leadership Strategies and Fractal Analytics

Artificial Intelligence Adoption Strategies for Business Leaders. A CEO’s Perspective on Artificial Intelligence Adoption and the Application of Generative AI.

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קורס אונליין - התמחות מקצועית מוסמכת באסטרטגיות מנהיגות של Google ו-Fractal Analytics

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Troubleshooting
  • Artificial Intelligence Responsibility
  • Business Leadership
  • Design thinking
  • artificial intelligence
  • Strategic thinking
  • Case analysis
  • Generative Artificial Intelligence
  • Critical thinking
  • Project implementation
  • Design thinking
  • Artificial Intelligence Responsibility
  • Product Adoption Strategies
  • Leading ideas
  • Strategic thinking

What you will learn in the course

Courses for which the course is suitable

  • Leader in artificial intelligence
  • Artificial Intelligence Consultant
  • Generative AI Project Manager
  • Data Analyst with a specialization in AI
  • Develop strategies for integrating AI into business
  • Data Privacy and Ethical Implications Expert
  • Generative AI Initiative Manager
  • Artificial Intelligence Guide

Internship – a series of courses of 4 sessions

Join our AI Leadership Program for AI leaders and consultants. Discover the different uses of generative AI across a range of business areas. Learn how to integrate generative AI into operations while maintaining data privacy and ethics. Develop skills to set KPIs, interpret data insights, and improve generative AI initiatives. By the end of the program, you will be equipped to evaluate, integrate, and optimize generative AI solutions, enabling you to confidently lead in today’s changing business world.

Internship goals

  • Evaluate potential applications of generative AI in a variety of business areas.
  • Integrate generative AI into business operations effectively, while considering data privacy and ethical implications.
  • Determine KPIs, interpret data-driven insights, and develop optimization strategies for generative AI initiatives.
  • Use organized thinking and human-centered design principles to solve problems effectively.

Hands-on Learning Project

Assignments and projects will help you analyze potential applications of generative AI across a variety of business domains. They will guide you in developing a strategic framework for integrating generative AI into business operations. You will identify important considerations, such as data privacy and ethical implications, associated with implementing generative AI and formulate strategies for improving generative AI solutions to drive lasting business value. They will also help you solve problems strategically using a structured approach.

Details of the courses that make up the specialization

Generative Islands for Business – A Guide for Leaders

Course 1 • 8 hours • 4.7 (17 ratings)

Course Details
What you’ll learn
  • Definition and unique properties of generative islands and explore the key concepts of generative models including GANs and VAEs.
  • Understand the role of data and training in producing new content using generative AI models.
  • Recognize and evaluate the potential of generative AI applications in various business areas and identify areas where value can be added.
  • A strategic framework for integrating generative AI into business operations, with an emphasis on data privacy, ethical implications, and potential risks.
Skills you will acquire
  • Category: Business Solutions
  • Category: Corporate Strategy

Successful AI Strategies: A CEO Perspective

Course 2 • 9 hours
Course Details
What you’ll learn
  • Explain key components for achieving desired results from AI.
  • Explain strategies for reducing errors and improving accuracy in AI.
  • Gain insights into optimizing organizational efficiency in adopting AI.
Skills you will acquire
  • Category: Organizational Development
  • Category: AI Adoption
  • Category: Ethics and Responsibility in AI

Responsible Islands – Principles and Ethical Considerations

Course 3 • 9 hours • 4.4 (14 ratings)
Course Details
What you’ll learn
  • Discuss the principles of responsible AI and their importance in technology, including ethical considerations, fairness, transparency, and accountability.
  • Implement techniques to identify, address, and minimize biases in AI algorithms and data, to promote fairness and inclusion in AI systems.
  • Interpret and explain AI decisions, while maintaining a balance between accuracy and explainability to foster trust and accountability in AI systems.
  • Discuss accountability, ethical AI governance, privacy considerations, and security needs in the development and deployment of responsible AI systems.
Skills you will acquire
  • Category: Responsible Islands
  • Category: Critical Thinking
  • Category: Complex Problem Solving
  • Category: Data Ethics
  • Category: Data Principles

A structured approach to problem solving

Course 4 • 15 hours • 4.8 (77 ratings)
Course Details
What you’ll learn
  • Explain the DS project life cycle and the role of structured thinking in a DS project.
  • Define a project problem using the SMART framework.
  • Explain the activities, rules of thumb, and pitfalls during the implementation phase.
  • Build a MECE problem tree to divide business problems into parts.
  • Create a project problem worksheet to describe the business problems.
  • Explain the role of human-centered design in solving business problems.
Skills you will acquire
  • Category: Critical Thinking
  • Category: Structured Thinking
  • Category: Troubleshooting
  • Category: Human-Centered Design
  • Category: Project Problem

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