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Building Generative AI Capabilities
Rajkumar Venkatesan
Rajkumar Venkatesan
The Building a Generative AI Capabilities course provides you with the holistic insights of AI in marketing and the impact of the internal and external strategic considerations of AI to support and sustain marketing strategies. You will learn how to successfully develop an AI strategy and roadmap for your organization using the AI Marketing Canvas and understand how the AI Marketing Canvas supports AI from a non-traditional data-based approach as a competitive advantage. You will also learn how key ethical considerations affects AI in marketing. This course is ideal for marketing professionals looking to stay ahead of the competition and develop or refine their AI strategy and roadmap for their marketing organization.
Register for this course and see more details by visiting:
OpenCourser.com/course/isp5x0/building
What's inside
Syllabus
Develop a Generative AI Capability
Welcome to the Develop a Generative AI Capability module! Marketing organizations today continue to develop and use to AI as a competitive advantage. In this module, we will focus on how marketing organizations can develop successful AI capabilities, and how AI in practice, can evolve a marketing strategy. In this module, we'll also focus on how AI can transform marketing and business strategies to stay ahead of the competition. Finally, in this module, we'll focus on the five stages of the AI Marketing Canvas, which is a direct, actionable plan that marketing organizations can use to implement AI into marketing plans, and understand the broader implications of incorporating AI into marketing plans.
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Syllabus
Develop a Generative AI Capability
Welcome to the Develop a Generative AI Capability module! Marketing organizations today continue to develop and use to AI as a competitive advantage. In this module, we will focus on how marketing organizations can develop successful AI capabilities, and how AI in practice, can evolve a marketing strategy. In this module, we'll also focus on how AI can transform marketing and business strategies to stay ahead of the competition. Finally, in this module, we'll focus on the five stages of the AI Marketing Canvas, which is a direct, actionable plan that marketing organizations can use to implement AI into marketing plans, and understand the broader implications of incorporating AI into marketing plans.
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Strategic Considerations: Change Management
Welcome to the Strategic Considerations: Change Management module! Implementation of AI in marketing is as much about humans as it is about technology. In this module, we will explore the various stages in the AI development journey that requires intervention from leaders and organizations. Finally, in this module, we will explore frameworks used by successful managers to develop AI capabilities in their organizations and how change management can affect and enhance AI.
Strategic Considerations: Privacy and Ethics
Welcome to the Strategic Considerations: Privacy and Ethics module! Generative AI has a tremendous potential to transform and impact marketing organizations and there are numerous ethical concerns and considerations when using Generative AI as a marketing strategy. In this module, we'll explore how international and national policies and regulations impact marketing and the use of AI. In this module, we’ll also learn how policies and regulations affect acquisition values of marketing organizations and the increasing importance of a customer-centric strategy has on marketing organizations. Finally, in this module, we'll understand how privacy regulations and polices and build and improve customer trust.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores the use of AI in marketing, a standard practice in the industry
Taught by instructors who are recognized for their work in AI
Develops skills and knowledge that are highly relevant to marketing organizations
Builds a strong foundation for beginners in AI marketing
Emphasizes ethical considerations in the use of AI in marketing
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Activities
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Building Generative AI Capabilities.
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Career center
Learners who complete Building Generative AI Capabilities will develop knowledge and skills
that may be useful to these careers:
Marketing Manager
Marketing Manager
The Building Generative AI Capabilities course can be useful for those looking to advance or enter a role as a Marketing Manager. Marketing Managers are responsible for the planning, development, and execution of marketing campaigns. Understanding AI can help Marketing Managers stay ahead of the competition, develop new strategies, and increase the effectiveness of their campaigns. In particular, the course's focus on the AI Marketing Canvas can help Marketing Managers develop a roadmap for implementing AI into their marketing plans.
Software Engineer
Software Engineer
The Building Generative AI Capabilities course can be useful for Software Engineers who want to work with AI. Software Engineers design, develop, and maintain software systems. AI is becoming increasingly important in software development, and Software Engineers with a strong understanding of AI can be highly sought after. This course can help Software Engineers learn the basics of AI and how to use AI in their work.
Data Scientist
Data Scientist
Those looking to become a Data Scientist may find the Building Generative AI Capabilities course useful. Data Scientists use data to solve problems and make predictions. AI is a rapidly growing field, and Data Scientists with a strong understanding of AI can be highly sought after. This course can help Data Scientists develop the skills they need to work with AI, including how to develop and implement AI models.
Product Manager
Product Manager
The Building Generative AI Capabilities course may be useful for Product Managers who want to develop products that use AI. Product Managers are responsible for the planning, development, and launch of new products. Understanding AI can help Product Managers develop products that are more innovative and meet the needs of customers. This course can help Product Managers learn the basics of AI and how to use AI in their work.
Business Analyst
Business Analyst
Business Analysts who want to specialize in AI may find the Building Generative AI Capabilities course useful. Business Analysts help organizations improve their performance by identifying and solving problems. Understanding AI can help Business Analysts identify opportunities to use AI to improve business processes. This course can help Business Analysts learn the basics of AI and how to use AI in their work.
Marketing Analyst
Marketing Analyst
The Building Generative AI Capabilities course may be useful for Marketing Analysts who want to use AI to improve their work. Marketing Analysts collect and analyze data to help businesses make better marketing decisions. Understanding AI can help Marketing Analysts use data more effectively and make better recommendations. This course can help Marketing Analysts learn the basics of AI and how to use AI in their work.
Data Analyst
Data Analyst
Data Analysts who want to specialize in AI may find the Building Generative AI Capabilities course useful. Data Analysts collect and analyze data to help businesses make better decisions. Understanding AI can help Data Analysts use data more effectively and make better recommendations. This course can help Data Analysts learn the basics of AI and how to use AI in their work.
Market Research Analyst
Market Research Analyst
The Building Generative AI Capabilities course may be useful for Market Research Analysts who want to use AI to improve their work. Market Research Analysts collect and analyze data to help businesses understand their customers. Understanding AI can help Market Research Analysts use data more effectively and make better recommendations. This course can help Market Research Analysts learn the basics of AI and how to use AI in their work.
User Experience (UX) Designer
User Experience (UX) Designer
The Building Generative AI Capabilities course may be useful for UX Designers who want to use AI to improve their work. UX Designers create products that are easy to use and enjoyable to interact with. Understanding AI can help UX Designers create products that are more intuitive and user-friendly. This course can help UX Designers learn the basics of AI and how to use AI in their work.
Project Manager
Project Manager
The Building Generative AI Capabilities course may be useful for Project Managers who want to lead projects that use AI. Project Managers are responsible for planning, executing, and closing projects. Understanding AI can help Project Managers lead projects that are more successful and deliver value to businesses. This course can help Project Managers learn the basics of AI and how to use AI in their work.
Business Development Manager
Business Development Manager
The Building Generative AI Capabilities course may be useful for Business Development Managers who want to sell products or services that use AI. Business Development Managers identify and develop new business opportunities. Understanding AI can help Business Development Managers identify opportunities to sell products or services that use AI. This course can help Business Development Managers learn the basics of AI and how to use AI in their work.
Sales Manager
Sales Manager
The Building Generative AI Capabilities course may be useful for Sales Managers who want to lead sales teams that sell products or services that use AI. Sales Managers are responsible for motivating and managing sales teams. Understanding AI can help Sales Managers lead sales teams that are more successful and deliver value to businesses. This course can help Sales Managers learn the basics of AI and how to use AI in their work.
Chief Technology Officer (CTO)
Chief Technology Officer (CTO)
The Building Generative AI Capabilities course may be useful for CTOs who want to lead the development and implementation of AI in their organizations. CTOs are responsible for overseeing the technology strategy of their organizations. Understanding AI can help CTOs make better decisions about how to use AI to improve their organizations. This course can help CTOs learn the basics of AI and how to use AI in their work.
Chief Information Officer (CIO)
Chief Information Officer (CIO)
The Building Generative AI Capabilities course may be useful for CIOs who want to lead the development and implementation of AI in their organizations. CIOs are responsible for overseeing the information technology strategy of their organizations. Understanding AI can help CIOs make better decisions about how to use AI to improve their organizations. This course can help CIOs learn the basics of AI and how to use AI in their work.
Chief Data Officer (CDO)
Chief Data Officer (CDO)
The Building Generative AI Capabilities course may be useful for CDOs who want to lead the development and implementation of AI in their organizations. CDOs are responsible for overseeing the data strategy of their organizations. Understanding AI can help CDOs make better decisions about how to use AI to improve their organizations. This course can help CDOs learn the basics of AI and how to use AI in their work.
For more career information including salaries, visit:
OpenCourser.com/course/isp5x0/building
Reading list
We've selected 15 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Building Generative AI Capabilities.
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Provides a comprehensive overview of the use of AI in marketing, including the different AI techniques that can be used.
Save
Classic introduction to deep learning, providing a comprehensive overview of the field.
Provides a comprehensive overview of deep learning, including the different deep learning techniques that can be used.
A practical guide to building and deploying deep learning models using Fastai and PyTorch, with a focus on real-world applications.
Save
Provides a comprehensive overview of computer vision, which type of AI that allows computers to see and interpret images.
Delves into the ethical considerations of AI development and deployment, providing practical guidance for designing algorithms that align with societal values.
Save
Provides an overview of the potential risks of AI, including the risk of AI becoming superintelligent and posing a threat to humanity.
Practical guide to generative AI, providing an overview of the different generative AI techniques.
Save
Provides a comprehensive overview of generative adversarial networks, which are a type of generative AI that can be used to generate new data.
Provides an introduction to reinforcement learning, which type of machine learning that allows agents to learn through trial and error.
Provides an overview of the ethical considerations of AI, including the different ways that AI can be used for good or for evil.
Provides an overview of the alignment problem, which is the challenge of ensuring that AI systems are aligned with human values.
Provides insights into the challenges faced by established organizations when adopting disruptive technologies, offering lessons for managing AI innovation.
Provides a business-oriented perspective on AI and machine learning, exploring their applications and implications in various industries.
Provides a philosophical overview of AI, including the different ways that AI can be conceptualized.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/isp5x0/building
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Effort
3 weeks of study, 1-2 hours per week.
Level
Introductory
Via
Coursera
Institution
University of Virginia Darden School Foundation
Instructor
Rajkumar Venkatesan
Language
English
Good to know
Explores the use of AI in marketing, a standard practice in the industry
Taught by instructors who are recognized for their work in AI
Develops skills and knowledge that are highly relevant to marketing organizations
Builds a strong foundation for beginners in AI marketing
Emphasizes ethical considerations in the use of AI in marketing
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