Generative AI for Business Leaders from Udacity

What's inside

Syllabus

This lesson provides the foundational knowledge needed about generative AI. From contextualizing GenAI within AI, to the processes and models used in GenAI systems, and finally use cases and benefits.

This lesson covers how to think about GenAI from a business perspective. You'll learn how GenAI can improve your business, the different approaches you can take, and its impacts and limitations.

In this lesson, you'll learn how to put GenAI into practice. You'll identify business areas that could be improved, create a roadmap for GenAI projects, and identify the core components necessary.

Having the right people is essential to bringing GenAI to your business. This lesson will discuss key stakeholders, necessary roles and responsibilities, and organizational models that can be used.

This lesson will discuss key elements of a GenAI strategy, responsible AI, risk assessments for GenAI projects, and the development process and management of GenAI projects.

This lesson will cover the AI and ML architectures that supports GenAI solutions, the specific needs of GenAI projects, the significance of data, along with various partners for each step.

Webinar Recording of instructor Ed Wiley and Udacity Founder Sebastian Thrun, "Generative AI: Savior or Saboteur of the Digital Workforce"

Now that you have completed all of the course material, it's time to put it all together in the project!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops key AI leadership skills, which are in high demand in the market

Taught by an instructor who has developed a specialized degree program on Generative AI

Provides a timely and relevant update for business professionals on the latest advances in generative AI, which is poised to transform various industries

Students are not required to have a technical background in AI or data science, making the course accessible to a broader audience

Teaches practical skills and strategies for implementing generative AI solutions, preparing learners to stay competitive in today's rapidly evolving job market

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 Generative AI for Business Leaders with these activities:

General AI concepts and statistics

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Strengthen foundational knowledge in general AI concepts and statistical methods.

Browse courses on General AI

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Review introductory materials on AI
Practice solving basic statistical problems

Review Generative AI Fundamentals

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Follow online tutorials to refresh your understanding of generative AI concepts, models, and algorithms.

Browse courses on Generative AI

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Search for online tutorials on generative AI.
Watch videos and read articles on generative AI fundamentals.
Complete practice exercises to test your understanding.

Explore generative AI best practices

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Stay up-to-date on the latest advancements and best practices in generative AI.

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Follow leading generative AI researchers on social media
Read research papers and industry reports
Attend webinars and online workshops

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Career center

Learners who complete Generative AI for Business Leaders will develop knowledge and skills that may be useful to these careers:

Artificial Intelligence Researcher

Artificial Intelligence Researchers conduct research to develop new AI technologies. For those in this field, this course can provide a solid foundation in generative AI. It covers the processes and models used in generative AI systems, as well as its use cases and benefits. By completing this course, Artificial Intelligence Researchers can expand their knowledge of generative AI and stay up-to-date on the latest developments in the field.

See salaries and explore the career path for Artificial Intelligence Researcher

Data Architect

Data Architects design and implement data management solutions. For Data Architects looking to expand their knowledge in generative AI, this course may be useful. It covers the AI and ML architectures that support generative AI solutions, as well as the specific needs of generative AI projects. Data Architects can use this knowledge to design and implement data management solutions that can effectively support generative AI projects.

See salaries and explore the career path for Data Architect

AI Engineer

AI Engineers design, develop, and maintain AI systems. For AI Engineers looking to expand their knowledge in generative AI, this course may be useful. It covers the foundational knowledge needed about generative AI, such as its processes and models. It also discusses how to put generative AI into practice and the key elements of a generative AI strategy. By completing this course, AI Engineers may be able to enhance their skills in developing and implementing generative AI solutions.

See salaries and explore the career path for AI Engineer

Cloud Architect

Cloud Architects design and implement cloud computing solutions. This course may be particularly useful for Cloud Architects who are working on projects that involve generative AI. It covers the AI and ML architectures that support generative AI solutions, as well as the specific needs of generative AI projects. Cloud Architects can use this knowledge to design and implement cloud computing solutions that can effectively support generative AI projects.

See salaries and explore the career path for Cloud Architect

Director of Artificial Intelligence

Directors of Artificial Intelligence are responsible for developing and executing AI strategies within their organizations. This course may be particularly useful for Directors of Artificial Intelligence who are looking to gain a deeper understanding of generative AI and its potential applications across various industries. It covers the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. Directors of Artificial Intelligence can use this knowledge to make informed decisions about how to use generative AI to achieve their organization's goals.

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Manager, Artificial Intelligence

Managers of Artificial Intelligence oversee AI projects and teams. This course may be particularly useful for Managers of Artificial Intelligence who are looking to gain a deeper understanding of generative AI and its applications within various industries. It covers the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. Managers of Artificial Intelligence can use this knowledge to make informed decisions about how to use generative AI to achieve their business objectives.

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Project Manager

Project Managers plan, execute, and close projects to achieve specific goals. This course may be useful for Project Managers who are working on projects that involve generative AI. It covers the key elements of a generative AI strategy, as well as the development process and management of generative AI projects. This knowledge can help Project Managers effectively manage and deliver generative AI projects, ensuring successful outcomes.

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Software Engineer

Software Engineers design, develop, and maintain software systems. For Software Engineers working on projects that involve generative AI, this course may be useful. It covers the AI and ML architectures that support generative AI solutions, as well as the specific needs of generative AI projects. Software Engineers can use this knowledge to design and develop software systems that can effectively incorporate generative AI.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers oversee the development and launch of products. For those in this field, this course may be particularly useful as it helps build a foundation in generative AI. It covers its benefits and limitations for businesses, as well as how to identify business areas that could be improved through the use of generative AI. Product Managers can use this knowledge to gain a competitive edge by leveraging generative AI to develop and improve their products.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts work to assess business needs and develop solutions to improve efficiency and productivity. This course may be useful for Business Analysts as it helps build a foundation in generative AI and its potential applications within a business setting. They will learn about the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. This knowledge can help Business Analysts make informed recommendations and develop strategies for AI implementation.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns to promote products and services. For those working in marketing, this course may be useful in helping them understand the potential of generative AI for marketing and advertising. It provides a foundational knowledge of generative AI and its applications within a business setting. Marketing Managers can leverage this knowledge to develop innovative and effective marketing strategies that incorporate generative AI, potentially leading to increased brand awareness and customer engagement.

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Chief Technology Officer

Chief Technology Officers (CTOs) are responsible for overseeing the technology strategy and operations of their organizations. This course may be useful for CTOs who are looking to gain a deeper understanding of generative AI and its potential applications across various industries. It covers the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. CTOs can use this knowledge to make informed decisions about how to use generative AI to drive innovation and gain a competitive advantage.

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Data Analytics Manager

Data Analytics Managers lead teams of data analysts and oversee data analytics projects. This course may be useful for Data Analytics Managers who are looking to gain a deeper understanding of generative AI and its potential applications within data analytics. It covers the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. Data Analytics Managers can use this knowledge to make informed decisions about how to use generative AI to enhance their data analytics projects and gain valuable insights.

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Sales Manager

Sales Managers lead sales teams and develop sales strategies. This course may be useful for Sales Managers who are looking to gain a better understanding of generative AI and its potential applications within the sales process. They will learn about the benefits and limitations of generative AI, as well as how to identify business areas that could be improved. With this knowledge, Sales Managers can make informed decisions about how to use generative AI to enhance their sales strategies and increase revenue.

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Data Scientist

Data Scientists interpret, model, and disseminate data. This course, Generative AI for Business Leaders, may be useful to those in this field as it provides a foundational understanding of generative AI. This includes its processes and models, as well as use cases and benefits for businesses. By learning about the potential of generative AI, Data Scientists may be able to leverage this technology in their work, potentially leading to more efficient and effective data modeling and analysis.

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Generative AI for Business Leaders

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