Voice of Change: Communicate with Teams for GenAI Adoption from Coursera

Did you know that GenAI is transforming the way we think about product strategy and leadership in technology? This shift is not just about technological advances; it's about paving the way for innovation with responsibility and inclusivity at its heart.

This Short Course, led by the insightful Fatima Kardar (Corporate Vice President, AI Infrastructure & Partnerships at Microsoft), is tailored for executives aiming to excel in the realms of GenAI product strategy, collaborative leadership, and ethical practices, all within the framework of Microsoft's innovative approaches. After completing this course, you'll be equipped to analyze and develop GenAI product strategies, apply collaborative leadership skills in GenAI settings inspired by Microsoft's initiatives, and evaluate as well as implement ethical and security practices in GenAI applications.

By the end of the 2-hour course, you will be able to:

- Analyze key components for developing and executing a GenAI product strategy, integrating business alignment and addressing challenges.

- Apply strategies to foster diversity and inclusion in a GenAI workplace.

- Apply ethical principles in GenAI contexts.

- Analyze security strategies for GenAI systems.

To be successful in the course, you should have management and leadership experience, a basic grasp of AI and Machine Learning, and an understanding of business strategy and innovation management principles.

What's inside

Syllabus

Introduction to Microsoft: Voice of Change

By the end of this short course, you will be able to employ strategies to retain talent through upskilling your workforce on GenAI tools and techniques, communicate your GenAI strategy to garner commitment across your organization, employ strategies to get alignment with your C-Suite on a GenAI strategy and roll-out plan for your organization, and outline strategies for utilizing GenAI within your company's workflows.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Delves into Microsoft's leadership and approach to GenAI, providing real-world insights and case studies

Suitable for executives wanting to excel in GenAI product strategy and collaborative leadership

Provides guidance on aligning GenAI strategies with business models and C-suite executives

Emphasizes fostering diversity and inclusion in GenAI workplaces

Covers the ethical dimensions of GenAI, helping learners understand responsible AI practices

May require foundational knowledge in AI and Machine Learning for optimal understanding

Reviews summary

Genai strategy & leadership for executives

According to learners, this course offers a strategic roadmap for GenAI adoption, particularly beneficial for executives and leaders. It provides practical insights directly applicable to business challenges, with special emphasis on C-Suite collaboration, talent retention, and fostering a diverse and inclusive workplace within the GenAI context. Students highlight the expert instructor's engaging delivery and the robust coverage of ethical considerations and security strategies. While praised for being concise and well-structured, a few noted it’s a high-level overview and not a deep dive into technical implementation.

A time-efficient course with digestible, applicable content.

"The pace was perfect for busy executives."

"Very concise and impactful. I appreciated the practical advice on communicating GenAI strategy."

"The course content is well-structured and easy to follow, making complex topics digestible for a management audience."

Robust coverage of responsible AI, ethics, and security.

"The ethical considerations and security strategies were particularly well-handled."

"The segments on ethical deployment and security were particularly strong and timely."

"I found the security module helpful, and the emphasis on ethical considerations was spot on."

Insights from a Microsoft VP, highly relevant and practical.

"Fatima Kardar's insights were incredibly relevant and practical."

"The instructor, Fatima Kardar, is clearly an expert."

"Fatima Kardar is an engaging speaker, providing invaluable insights from Microsoft's experience."

A strong course for leaders on GenAI strategy and communication.

"Absolutely invaluable! As a senior manager, I found the course content on C-Suite collaboration and ethical considerations around GenAI to be directly applicable."

"Excellent short course! It brilliantly covers the strategic aspect of GenAI, focusing on communication and adoption."

"This course provides a strategic roadmap for integrating GenAI into business operations, specifically from a leadership perspective."

Focuses on strategy, not technical implementation details.

"Some parts felt a bit high-level, and I wished for more specific examples on the 'how-to' for smaller teams rather than just large enterprises."

"For someone already familiar with basic AI concepts and business strategy, it felt like a recap. I was hoping for more advanced insights."

"I signed up hoping for practical implementation strategies, but it was mostly about high-level concepts and communication. It felt a bit too theoretical for my role."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Voice of Change: Communicate with Teams for GenAI Adoption with these activities:

Review technical writing and documentation principles

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Sharpen technical writing and documentation skills to effectively convey GenAI concepts, strategies, and deliverables.

Browse courses on Technical Writing

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Review best practices for technical writing
Practice writing clear and concise technical documents

Study the agenda and research topics

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Prepare for the course by reviewing the agenda and conducting independent research to bolster understanding of the concepts.

Browse courses on Product strategy

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Review the course agenda and identify key topics
Research industry articles and relevant materials

Build a resource library for GenAI

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Compile a repository of useful resources to support learning and application of GenAI principles and practices throughout the course.

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Collect relevant articles, research papers, and industry reports
Organize resources into a digital or physical library
Share resources with peers for collective knowledge sharing

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Engage in peer discussions on GenAI case studies

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Collaborate with peers to analyze and discuss real-world GenAI case studies, fostering critical thinking and strategic decision-making skills.

Browse courses on Product strategy

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Form study groups with peers
Select and analyze GenAI case studies
Engage in group discussions and share insights

Develop a GenAI product strategy for an organization

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Apply the principles and frameworks covered in the course to create and document a comprehensive GenAI product strategy for a real-world organization.

Browse courses on Product strategy

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Identify a target organization
Conduct research on the organization's industry and market
Develop a GenAI product strategy aligned with the organization's goals
Document the strategy and present it for feedback

Create a blog post on emerging trends in GenAI

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Synthesize knowledge and insights gained from the course into a blog post to share with others and enhance understanding of GenAI's evolving landscape.

Browse courses on GenAI

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Research emerging trends and developments in GenAI
Summarize findings and key insights
Write and publish a blog post on the topic

Explore Microsoft's OpenAI platform

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Experience hands-on application of GenAI principles and techniques through guided tutorials and exploration of Microsoft's OpenAI platform.

Browse courses on OpenAI

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Access the Microsoft OpenAI platform
Follow guided tutorials on various GenAI models
Experiment with different GenAI applications

Attend a GenAI industry workshop or conference

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Engage with industry experts and professionals in a workshop or conference setting to enhance knowledge and stay abreast of latest GenAI trends.

Browse courses on GenAI

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Research and identify relevant GenAI industry events
Attend the workshop or conference
Network with professionals and learn from presentations

Career center

Learners who complete Voice of Change: Communicate with Teams for GenAI Adoption will develop knowledge and skills that may be useful to these careers:

AI Product Manager

Artificial Intelligence Product Managers oversee the development of artificial intelligence products and ensure they reach their goals. This course will help inform your knowledge on GenAI, which is a generation of AI products, and help you build a foundation for working with a team to accomplish the goals of your product.

See salaries and explore the career path for AI Product Manager

Data Scientist

Data Scientists collect and analyze data and then communicate insights to stakeholders to aid in business decision-making. This course's discussion on the ethical dimensions of GenAI will be essential for your success in this role.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and interpret data to help organizations make data-driven decisions. As a Data Analyst, this course may aid your work in developing strategies to foster diversity and inclusion in a workplace where GenAI tools and techniques are used.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers use their expertise in computer programming to design, develop, test, and maintain software. This course may help you if you wish to pursue a software engineering career in GenAI, offering an examination of the ethical dimensions of GenAI and how to implement security strategies for GenAI systems.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. If this is your career goal, taking this course may be helpful as it can help you learn about the latest trends in GenAI, which is a cutting-edge field in machine learning.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

AI Engineers design, develop, test, and deploy AI systems. This course may be helpful if you're interested in a career as an AI Engineer, providing you with a solid foundation in GenAI, the latest generation of AI products.

See salaries and explore the career path for AI Engineer

Business Analyst

Business Analysts help organizations improve their performance by analyzing data and identifying areas for improvement. A foundational knowledge of GenAI may be helpful as you pursue a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the development and marketing of products. If you want to be a great Product Manager, you should have a strong understanding of GenAI, which is transforming the way products are developed and marketed, and this course may help.

See salaries and explore the career path for Product Manager

Technical Writer

Technical Writers create documentation for software and other technical products. GenAI is a rapidly growing field, and taking this course may be useful as you look to develop the skills necessary to write about GenAI and its applications.

See salaries and explore the career path for Technical Writer

Data Architect

Data Architects design and manage data systems. This course will help you to develop the knowledge and skills necessary for a career as a Data Architect, including an understanding of GenAI and how it can be used to improve data management.

See salaries and explore the career path for Data Architect

Project Manager

Project Managers plan and execute projects. This course will provide knowledge and skills directly applicable to a career as a Project Manager in GenAI, including how to develop and execute a GenAI product strategy and how to manage GenAI projects.

See salaries and explore the career path for Project Manager

Systems Analyst

Systems Analysts analyze and design computer systems. This course will be helpful for Systems Analysts who want to learn more about GenAI, which is a rapidly growing field with many opportunities for Systems Analysts.

See salaries and explore the career path for Systems Analyst

Computer Programmer

Computer Programmers write and test code for software applications. This course may be helpful for Computer Programmers who want to learn more about GenAI, which is a rapidly growing field with many opportunities for Computer Programmers.

See salaries and explore the career path for Computer Programmer

Data Engineer

Data Engineers design, build, and maintain data pipelines. This course will help you to develop the knowledge and skills necessary for a career as a Data Engineer, including an understanding of GenAI and how it can be used to improve data engineering.

See salaries and explore the career path for Data Engineer

Software Developer

Software Developers design, develop, and test software applications. This course will provide knowledge and skills directly applicable to a career as a Software Developer in GenAI, including how to develop and execute a GenAI product strategy and how to develop GenAI applications.

See salaries and explore the career path for Software Developer