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

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.

Developing Your GenAI Product Strategy

In this lesson, you will gain insights into crafting an effective GenAI strategy. The lesson underscores aligning AI with the company's mission and business objectives, highlighting the pivotal role of visionary leadership in driving innovation and societal impact. It explores the importance of internal collaboration and external partnerships. Key focuses include understanding GenAI's capabilities and limitations, targeting transformative applications, and prioritizing responsible technology deployment. This comprehensive overview provides a blueprint for integrating GenAI effectively and ethically into product strategies

C-Suite Collaboration in Developing a Product Strategy

This lesson offers insights into Microsoft’s approach to integrating GenAI into their business model. It focuses on the pivotal role of C-Suite executives, including the CEO and CTO, in aligning AI initiatives with the company's mission and vision. Cross-functional collaboration within Microsoft and partnerships like OpenAI is highlighted, using examples to illustrate strategic decision-making in AI development. It also provides guidance for business leaders on embracing GenAI, emphasizing the importance of understanding its potential, focusing on transformative projects, and ensuring company-wide strategic alignment and buy-in for successful implementation.

Rolling Out Your GenAI Strategy

In the lesson explores the key aspects of integrating GenAI into product strategy, as exemplified by Microsoft's evolution. The lesson covers the transition of AI from enhancing specific features to becoming a core element of the user experience, the importance of AI in understanding human behavior, and aligning AI initiatives with business objectives. It addresses the balance between innovation and responsibility in AI deployment, shares insights from practical implementations and challenges faced, and highlights the strategic decision to develop a unified AI platform for organizational efficiency. This lesson is designed to provide you with the essential knowledge to develop and implement an effective GenAI strategy within your organizations.

Retaining Talent in a GenAI Workplace

This lesson focuses on the importance of diversity and inclusion in the GenAI workplace, emphasizing how a representative workforce is key to creating unbiased, innovative AI products. It outlines the necessity for including diverse perspectives across gender, race, and geography to meet global needs effectively. Through real-world examples and actionable strategies, you will understand how to cultivate an inclusive environment that supports talent retention and fosters innovation. The goal is to equip you with the knowledge to build GenAI solutions that serve a broad audience, ensuring technology development is equitable and reflective of the diverse world we live in.

Understanding GenAI Ethics

This lesson explores the ethical dimensions of GenAI using Microsoft's approach as a case study. It covers Microsoft's commitment to responsible AI, addressing issues like bias, unfairness, and misinformation. The lesson highlights the integration of ethical considerations throughout the GenAI development process, emphasizing the inclusion of diverse perspectives from various experts. It also examines real-world ethical dilemmas in GenAI applications, such as balancing innovation with potential misuse in education and handling sensitive political content. The aim is to provide you with a nuanced understanding of ethical challenges and responsibilities in the field of GenAI.

Implementing GenAI Security Strategies

This lesson examines Microsoft's approach to integrating GenAI within their business model, focusing on security and strategic alignment. It highlights Microsoft's mission-driven strategy, leadership vision, and the importance of a holistic, collaborative approach in GenAI development. Emphasis is placed on the human-centric design of GenAI applications and the necessity of technologies that support rather than replace human efforts. The lesson also offers insights for business leaders on aligning GenAI with business goals, considering AI's potential, problem-solving capabilities, and cost-effectiveness.

Good to know

Know what's good

, what to watch for

, 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

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

Five other activities

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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.

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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.

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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.

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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