We may earn an affiliate commission when you visit our partners.
AI Business School
Welcome to the “Introduction to AI for marketing professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the marketing profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, marketing-focused applications.
By the end of this course, you will be able to:
- Understand the fundamentals of AI and its potential opportunities in marketing
- Explore and recognize risks and limitations associated with AI and how to address them
Read more
Welcome to the “Introduction to AI for marketing professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the marketing profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, marketing-focused applications.
By the end of this course, you will be able to:
- Understand the fundamentals of AI and its potential opportunities in marketing
- Explore and recognize risks and limitations associated with AI and how to address them
Read more
Welcome to the “Introduction to AI for marketing professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the marketing profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, marketing-focused applications.
By the end of this course, you will be able to:
- Understand the fundamentals of AI and its potential opportunities in marketing
- Explore and recognize risks and limitations associated with AI and how to address them
- Practice with different AI tools to get hands-on experience
- Get started with essential prompting techniques for using different Generative AI models
- Discover and try out various marketing-specific use cases and AI technologies, explore the ways to integrate them into daily job routines
- Participate in a project to generate a marketing-specific AI use case idea with an interest in programming.
- Prepare for the next phase of your AI journey, progressing from foundational to advanced applications
Welcome to the unique “Introduction to AI for marketing professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
Register for this course and see more details by visiting:
OpenCourser.com/course/tz19wi/introduction
Two deals to help you save
Save money when you learn. Here are two deals and offers that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Valid until July 14
Coursera Plus Annual
Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.
Up to
40%
off
Get offer
Valid until August 30
Google AI App Builder
Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind
Take
100%
off
Get offer
What's inside
Syllabus
Introduction to AI and GenAI
Gain foundational AI and GenAI literacy with hands-on exercises. This module introduces the fast-changing world of Artificial Intelligence and Generative AI (GenAI), focusing on what these current technologies are, how they operate, and how they are transforming the way we work.
Read more
Syllabus
Introduction to AI and GenAI
Gain foundational AI and GenAI literacy with hands-on exercises. This module introduces the fast-changing world of Artificial Intelligence and Generative AI (GenAI), focusing on what these current technologies are, how they operate, and how they are transforming the way we work.
Read more
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Activities
Coming soon
We're preparing activities for
Introduction to AI for marketing professionals.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Introduction to AI for marketing professionals will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Prompt Engineer Marketing
Artificial Intelligence Prompt Engineer Marketing
An Artificial Intelligence Prompt Engineer Marketing specializes in crafting, refining, and optimizing prompts for Generative AI models to achieve specific marketing objectives. This cutting-edge role ensures AI outputs are creative, relevant, brand-aligned, and effective for various marketing applications, from ad copy to social media posts. The "Introduction to AI for marketing professionals" course is exceptionally well-suited for this career path. It explicitly focuses on getting started with essential prompting techniques for using different Generative AI models, a core competency for an Artificial Intelligence Prompt Engineer Marketing. Furthermore, the course teaches learners to discover and try out various marketing-specific use cases, providing the context and practical application necessary to excel in this specialized field, while also understanding how to address risks associated with AI-generated content.
Marketing Specialist Artificial Intelligence
Marketing Specialist Artificial Intelligence
A Marketing Specialist Artificial Intelligence applies AI and Generative AI technologies to enhance marketing campaigns and strategies. This role involves using AI tools for tasks such as content creation, audience segmentation, campaign optimization, and performance analysis. The "Introduction to AI for marketing professionals" course directly equips learners with the foundational AI literacy and practical experience needed for this dynamic field. You will gain a clear understanding of AI's potential opportunities in marketing, enabling you to identify and implement innovative solutions. The course's hands-on approach to experimenting with powerful AI tools and learning essential prompting techniques is particularly relevant. You will discover and try out various marketing-specific AI use cases, integrating them into daily routines, which is crucial for success as a Marketing Specialist Artificial Intelligence, allowing you to drive more effective and data-driven marketing outcomes.
Growth Marketer Artificial Intelligence Driven
Growth Marketer Artificial Intelligence Driven
A Growth Marketer Artificial Intelligence Driven is focused on rapid experimentation and scaling marketing initiatives using data-driven insights, with a strong emphasis on leveraging AI and Generative AI technologies. This role involves identifying growth opportunities, implementing AI-powered tools for targeting, personalization, and automation, and continuously optimizing campaigns. The "Introduction to AI for marketing professionals" course is an excellent fit, providing foundational AI and Generative AI literacy along with hands-on experience with powerful AI tools. Learners will discover and try out various marketing-specific use cases and AI technologies, exploring ways to integrate them into daily job routines, which is crucial for a Growth Marketer Artificial Intelligence Driven. The skills in prompting techniques and understanding AI's opportunities and risks will enable agile experimentation and successful scaling of AI-driven growth strategies.
Digital Marketing Manager with Artificial Intelligence Focus
Digital Marketing Manager with Artificial Intelligence Focus
A Digital Marketing Manager with Artificial Intelligence Focus leads and executes digital marketing strategies, leveraging AI and Generative AI tools to optimize campaigns across various channels. This role demands a strategic understanding of how AI transforms workflows in areas like search engine optimization, social media, email marketing, and analytics. The "Introduction to AI for marketing professionals" course provides a crucial understanding of AI fundamentals and its immense opportunities within marketing. It helps learners explore how AI transforms key roles and workflows in marketing, which is vital for effective strategic planning. Practical experience with different AI tools and essential prompting techniques, as covered in the course, will allow a Digital Marketing Manager with Artificial Intelligence Focus to guide their teams in implementing cutting-edge, AI-powered solutions, ensuring campaigns are not only innovative but also address potential risks.
Content Strategist Generative Artificial Intelligence
Content Strategist Generative Artificial Intelligence
A Content Strategist Generative Artificial Intelligence designs and oversees content creation strategies, specifically leveraging Generative AI tools to produce high-quality, engaging content across various platforms. This role involves understanding AI's capabilities for text generation, image creation, and multimedia production, ensuring brand consistency and message effectiveness. The "Introduction to AI for marketing professionals" course is highly relevant, providing foundational Generative AI literacy and hands-on experience with powerful AI tools. Learners will master essential prompting techniques for using different Generative AI models, a core skill for any Content Strategist Generative Artificial Intelligence. The course also explores how AI transforms key roles in marketing and covers marketing-specific use cases, preparing individuals to integrate these technologies into content workflows while actively managing associated risks and limitations inherent in AI-driven content creation.
Social Media Manager with Artificial Intelligence Tools
Social Media Manager with Artificial Intelligence Tools
A Social Media Manager with Artificial Intelligence Tools develops and implements social media strategies, utilizing AI and Generative AI to enhance content creation, audience engagement, and campaign performance. This role involves experimenting with AI tools for tasks like automated posting, trend analysis, personalized messaging, and rapid content generation for platforms such as Instagram or TikTok. The "Introduction to AI for marketing professionals" course offers practical hands-on exposure to impactful use cases and tools specifically tailored for marketing, which is directly applicable to managing social media. Essential prompting techniques for Generative AI models, taught in the course, will significantly improve efficiency and creativity. For a Social Media Manager with Artificial Intelligence Tools, understanding AI's potential opportunities and actively managing its risks, as covered in this course, is crucial for maintaining brand reputation and achieving strategic social media objectives.
Marketing Operations Specialist Artificial Intelligence Integration
Marketing Operations Specialist Artificial Intelligence Integration
A Marketing Operations Specialist Artificial Intelligence Integration focuses on streamlining marketing processes and optimizing technology stacks by integrating AI and Generative AI solutions. This role involves evaluating and implementing new AI tools, automating routine tasks, and ensuring data flows efficiently across marketing systems. The "Introduction to AI for marketing professionals" course is particularly beneficial, as it helps learners discover and try out various marketing-specific use cases and AI technologies, exploring ways to integrate them into daily job routines. This practical knowledge is essential for a Marketing Operations Specialist Artificial Intelligence Integration. By understanding AI fundamentals and practicing with different AI tools, learners can effectively identify automation opportunities, enhance operational efficiency, and mitigate risks associated with AI implementation, leading to more agile and effective marketing operations.
Product Marketing Manager Artificial Intelligence Solutions
Product Marketing Manager Artificial Intelligence Solutions
A Product Marketing Manager Artificial Intelligence Solutions is responsible for bringing AI-powered products to market, defining their value proposition, and communicating their benefits to target audiences. This role requires a deep understanding of AI concepts not just from a marketing perspective, but also how they translate into product features and user experiences. The "Introduction to AI for marketing professionals" course provides critical foundational AI and Generative AI literacy, enabling a Product Marketing Manager Artificial Intelligence Solutions to articulate the capabilities and opportunities of AI products effectively. Exploring how AI transforms key roles and workflows, along with gaining hands-on exposure to practical AI use cases, will directly inform marketing strategies for AI tools and services, helping to position them successfully in competitive markets while understanding associated risks.
Brand Manager Artificial Intelligence Strategy
Brand Manager Artificial Intelligence Strategy
A Brand Manager Artificial Intelligence Strategy oversees the development and evolution of a brand, considering the impact and opportunities presented by AI and Generative AI. This role involves maintaining brand consistency across AI-driven touchpoints, leveraging AI for market insights, and managing brand perception in an AI-infused landscape. The "Introduction to AI for marketing professionals" course provides a crucial foundation in understanding AI and its potential opportunities in marketing, which is vital for strategic brand planning. Moreover, the module on actively managing AI risks is particularly helpful for a Brand Manager Artificial Intelligence Strategy. It teaches how to recognize and address limitations associated with AI, which is paramount for protecting brand reputation and ensuring ethical AI use in brand communications and consumer interactions.
Artificial Intelligence Ethics Specialist Marketing
Artificial Intelligence Ethics Specialist Marketing
An Artificial Intelligence Ethics Specialist Marketing ensures the ethical development and deployment of AI technologies within marketing, adhering to guidelines, standards, and values. This role assesses biases in AI algorithms, manages data privacy, and advises on responsible AI practices in advertising and personalization. The "Introduction to AI for marketing professionals" course offers exceptional relevance through its dedicated module on actively managing AI risks. This section teaches learners to understand and avoid risks related to AI, addressing company-specific and social concerns. For an Artificial Intelligence Ethics Specialist Marketing, gaining practical advice on interacting with AI solutions to minimize risk exposure is invaluable, enabling them to guide organizations in building trustworthy, responsible AI-powered marketing initiatives.
Customer Relationship Management Strategist Artificial Intelligence
Customer Relationship Management Strategist Artificial Intelligence
A Customer Relationship Management Strategist Artificial Intelligence designs and optimizes strategies for managing customer interactions and relationships, often by integrating AI-powered solutions into CRM platforms. This role aims to enhance customer experience, personalize communications, and improve retention through intelligent automation and insights. The "Introduction to AI for marketing professionals" course helps build foundational AI and Generative AI literacy, which is directly applicable to understanding how AI can transform customer engagement. For a Customer Relationship Management Strategist Artificial Intelligence, exploring how AI transforms key roles and workflows in marketing and discovering marketing-specific use cases will be highly beneficial, enabling the seamless integration of AI technologies into daily routines to deliver more personalized and efficient customer journeys, while actively managing any associated risks.
Data Analyst Marketing Insights Artificial Intelligence
Data Analyst Marketing Insights Artificial Intelligence
A Data Analyst Marketing Insights Artificial Intelligence collects, analyzes, and interprets marketing data, leveraging AI-powered analytics tools to uncover trends, predict consumer behavior, and measure campaign effectiveness. This role requires a strong grasp of data principles combined with understanding how AI models generate insights or inform decisions. The "Introduction to AI for marketing professionals" course assists a Data Analyst Marketing Insights Artificial Intelligence by building foundational AI and Generative AI literacy. It helps learners understand the fundamentals of AI and its potential opportunities in marketing, enabling better interpretation of AI-generated analytics and communication with technical teams. The course's focus on marketing-specific AI use cases can provide context for applying AI effectively to data analysis and recognizing limitations inherent in AI-driven insights.
User Experience Researcher Artificial Intelligence Products
User Experience Researcher Artificial Intelligence Products
A User Experience Researcher Artificial Intelligence Products investigates how users interact with AI-powered systems and products, identifying pain points and opportunities for improvement to enhance usability and satisfaction. While not a direct marketing role, understanding the underlying AI principles is critical for designing effective research studies and interpreting user feedback on AI features. The "Introduction to AI for marketing professionals" course may be useful for this role by providing foundational AI and Generative AI literacy, helping a researcher understand how these technologies operate. The course's hands-on experience with different AI tools and exploration of marketing-specific use cases can offer insights into common AI applications and user expectations. This perspective can inform research methodologies and facilitate better communication with product development and marketing teams regarding user needs for AI experiences. This role often requires an advanced degree.
Business Development Manager Artificial Intelligence Solutions
Business Development Manager Artificial Intelligence Solutions
A Business Development Manager Artificial Intelligence Solutions identifies new market opportunities and builds strategic partnerships for companies offering AI-powered products or services. This role demands a clear understanding of AI capabilities and how AI can solve business problems for clients. The "Introduction to AI for marketing professionals" course may be useful for this role by providing foundational knowledge of AI and Generative AI. A Business Development Manager Artificial Intelligence Solutions will benefit from understanding AI fundamentals, its potential opportunities, and how it transforms professions. The course's exploration of marketing-specific use cases and hands-on experience with AI tools can provide tangible examples to discuss with clients, helping to articulate the value proposition of AI solutions more effectively and identify avenues for growth, while being aware of potential risks.
Innovation Manager Technology Trends
Innovation Manager Technology Trends
An Innovation Manager Technology Trends identifies emerging technologies and industry shifts that could create new opportunities or challenges for an organization. This role involves researching, evaluating, and advocating for novel solutions, such as artificial intelligence, to drive future growth and competitive advantage. The "Introduction to AI for marketing professionals" course may be helpful for an Innovation Manager Technology Trends by offering foundational AI and Generative AI literacy, specifically focusing on what these technologies are and how they are transforming work. While marketing-focused, its broader discussions on AI's opportunities and risks, coupled with hands-on exposure to AI tools, provide a relevant overview of AI's practical implications across various business functions and potential for new applications. This role often requires an advanced degree.
For more career information including salaries, visit:
OpenCourser.com/course/tz19wi/introduction
Reading list
We've selected 21 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
Introduction to AI for marketing professionals.
Direct companion to the course, offering a comprehensive overview of how AI can automate and augment marketing tasks. It is highly valuable for providing the background knowledge needed to understand the current AI landscape in the industry. It is frequently used by industry professionals as a roadmap for digital transformation. The text adds depth to the course's modules on workflows and marketing-specific use cases.
Serves as a strategic reference tool for marketing professionals looking to implement AI systematically. It is particularly useful for students who want to move from the foundational knowledge of the course to advanced application in a corporate setting. The authors are recognized authorities from top-tier business schools, lending significant credibility to the framework. It provides a structured approach that supplements the course's project-based learning objectives.
Save
Published very recently, this book is an essential read for understanding the practical, day-to-day interactions with Generative AI tools. It excels at explaining prompting techniques and the 'jagged frontier' of AI capabilities mentioned in the syllabus. The author leading voice in AI education, making thhigh-authority reference for the course's GenAI literacy goals. It is more valuable as a current reference for best practices than a theoretical text.
Highly practical guide that supplements the course's lesson on essential prompting techniques. It is an excellent resource for students who want more hands-on practice with Generative AI models. It very recent publication, reflecting the latest best practices in interacting with LLMs. The text is specifically useful for the marketing-specific use case applications mentioned in the syllabus.
Save
This recent publication focuses on the integration of AI into the daily job routines of marketers. It aligns perfectly with the course's goal of discovering and trying out marketing-specific technologies. The book functions well as a textbook for those seeking to build a comprehensive AI marketing strategy. It offers hands-on exposure to use cases that complement the course's interactive applications.
Save
Useful reference tool specifically for the module on AI risks and limitations. It provides practical advice on how to address bias and privacy concerns, which are critical for marketing professionals. The text is highly relevant for students needing to understand company-specific and social risks mentioned in the syllabus. It translates complex ethical concepts into actionable business strategies.
Save
Written by the co-founder of DeepMind, this book provides authoritative insight into the existential and social risks of AI. It vital supplement for the course's module on 'Actively Managing AI Risks.' The book offers a high-level perspective on the fast-changing world of technology that the course introduces. It is more of a strategic and philosophical reference than a hands-on manual.
Classic in the field of AI business transformation and is widely used by industry professionals. It introduces the concept of 'collaborative intelligence,' which is central to the course's module on workflows. It is helpful for providing prerequisite knowledge on how humans and machines interact in a professional setting. The 2023 updated version ensures its relevance to current Generative AI trends.
This collection of essays provides a high-reputation overview of how GenAI is transforming the business world. It is excellent for providing background context on the fast-paced changes in the marketing profession. The book useful reference for managers who need to understand the strategic implications of the tools discussed in the course. It adds breadth by covering a wide range of industry perspectives.
Save
This recent work by Accenture's top AI leaders focuses on the more 'human' side of AI, including trust and talent. It aligns with the course's focus on how AI transforms roles and the need for new skill sets. The book useful reference tool for understanding the future of the marketing profession. It provides a more optimistic and human-centric view compared to texts focused solely on risk.
Provides a technical yet accessible look at AI applications, making it useful for the course's project on AI use case ideas. It is particularly helpful for those with an interest in the more technical or programming aspects of AI. The author recognized authority in AI implementation. It adds depth to the course by explaining the underlying mechanics of the tools being used.
Is excellent for building the foundational AI literacy that the course aims for. It explains how AI operates and its current limitations in a very clear, accessible way. It reputable source that helps demystify the technology for non-technical professionals. Reading this provides a strong conceptual background before diving into marketing-specific applications.
Critical reference for the 'Actively Manage AI Risks' module, focusing on social bias and data ethics. It provides essential background on how algorithms can perpetuate harm, a key limitation marketers must address. While slightly older than five years, its popularity and reputation make it a staple for any AI literacy curriculum. It adds necessary breadth to the discussion of AI's social risks.
Save
Written by the co-founder of LinkedIn, this book uses GPT-4 to explore the potential of AI across various sectors, including marketing. It great example of the 'hands-on exposure' the course encourages. The book is more of a conversational exploration than a technical manual, making it very accessible. It adds breadth to the course by showing how a top industry leader uses these tools.
Save
Offers high-level authority and explores the existential risks and social transformations mentioned in the course syllabus. It is more valuable as additional reading for intellectual curiosity than as a technical reference. The authors provide a broad perspective on how AI will change human society, including the marketing and communication fields. It serves as a sophisticated background text for the introductory module.
Provides a deep dive into the algorithms that power social media, which major part of modern marketing. It is highly relevant for understanding the risks and limitations of AI in the social sphere. The author leading professor at MIT, providing high authority and reputation. It supplements the course's module on AI risks by focusing on the impact of automated content.
Is commonly used as a textbook and foundational reference for marketing professionals. Although published in 2017, it provides the core principles of AI in marketing that remain relevant for the course's introductory modules. It is helpful for students who want a deep dive into data-driven marketing before tackling GenAI. It serves as a solid bridge between traditional digital marketing and AI-powered solutions.
Provides a broad strategic overview of the technological forces reshaping business, including AI. It is helpful for providing the background knowledge needed to understand the 'fast-changing world' described in the course's first module. The authors are renowned MIT professors with high reputation. It adds breadth to the course by situating AI within the context of other digital transformations.
Is helpful for students who want to explore the programming-specific project idea mentioned in the syllabus. It provides a practical, code-first approach to understanding how AI models are built and used. The author lead at Google, lending high authority to the content. It is more valuable as additional reading for those looking to transition from marketing to technical AI roles.
Is specifically for students who respond to the course's mention of an 'interest in programming.' It highly reputable technical textbook that would supplement the course's project for more advanced learners. While much more difficult than the course itself, it serves as a 'next phase' resource. It is the gold standard for learning the actual implementation of AI models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tz19wi/introduction
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Level
Introductory
Via
Coursera
Institution
AI Business School
Instructor
AI Business School
Session
November 3, 2025
- December 8, 2025
Language
English
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser