AI, Automation, and Emerging Technology from Coursera

By the end of this course, you will be able to:

- Understand AI in Marketing: Learn how AI enhances digital marketing strategies, from content creation to PPC and SEO, to drive better performance.

- Utilize Predictive Analytics: Master predictive analytics and AI-driven customer insights to optimize marketing strategies and create precise micro-campaigns.

- Leverage AI-Powered Visual Search: Explore how AI improves visual search, boosts product discovery, and enhances user experience through top tools and real-world examples.

- Implement AI Chatbots: Discover how AI chatbots enhance user interactions and marketing success, including practical use of tools like HubSpot’s ChatBot Builder.

- Apply AI in Image and Speech Recognition: Understand the role of AI in image and speech recognition, and explore its applications in marketing and business operations.

Guided by industry experts, you’ll engage in hands-on activities and real-world examples to develop practical AI-driven marketing skills and gain a competitive edge.

What's inside

Syllabus

AI, Automation, and Emerging Technology

This comprehensive AI in Digital Marketing program will equip you with the skills needed to excel in modern marketing. You'll learn to leverage AI technologies to transform your marketing strategies, optimize campaigns, and enhance user engagement. Guided by industry experts, you’ll engage in hands-on activities and real-world examples to develop practical AI-driven marketing skills and gain a competitive edge.

Assessment for AI, Automation, and Emerging Technology

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores AI's role in enhancing digital marketing strategies, which is crucial for professionals looking to stay competitive in the evolving marketing landscape

Covers predictive analytics and AI-driven customer insights, enabling marketers to optimize strategies and create precise micro-campaigns for better targeting

Examines the implementation of AI chatbots, which can enhance user interactions and marketing success, providing practical skills for immediate application

Includes hands-on activities and real-world examples, allowing learners to develop practical AI-driven marketing skills and gain a competitive edge in the field

Requires learners to engage in hands-on activities, which may require access to specific software or platforms not readily available to all students

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 AI, Automation, and Emerging Technology with these activities:

Review Digital Marketing Fundamentals

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Reinforce your understanding of core digital marketing concepts to better grasp how AI enhances these strategies.

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Review key marketing channels like SEO, PPC, and social media.
Familiarize yourself with marketing metrics and KPIs.
Understand the customer journey and marketing funnel.

Read 'Marketing AI Institute's Marketing Artificial Intelligence'

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Gain a deeper understanding of AI's transformative potential in marketing through real-world examples and case studies.

View Marketing Artificial Intelligence: AI,... on Amazon

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Read the book, focusing on chapters relevant to the course syllabus.
Take notes on key concepts and examples.
Reflect on how these concepts apply to your own marketing experience.

Follow AI Chatbot Tutorials

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Develop practical skills in implementing AI chatbots for marketing and customer engagement.

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Find tutorials on platforms like HubSpot's ChatBot Builder.
Follow the tutorials to create and deploy a simple chatbot.
Test the chatbot and iterate on its design.

Four other activities

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AI-Powered Content Creation Project

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Apply AI tools to generate marketing content and evaluate its effectiveness.

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Choose a content type (e.g., blog post, social media update).
Use an AI tool to generate content based on a specific topic.
Edit and refine the AI-generated content.
Analyze the performance of the content.

Presentation: AI in Visual Search

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Deepen your understanding of AI's role in visual search and its marketing applications by creating a presentation.

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Research AI-powered visual search technologies.
Identify real-world examples of AI in visual search.
Create a presentation outlining the benefits and challenges.
Present your findings to peers or colleagues.

Read 'AI Marketing Canvas'

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Learn a structured approach to implementing AI in marketing and develop a strategic roadmap for your organization.

View The AI Marketing Canvas: A Five-Stage Road Map... on Amazon

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Read the book, focusing on the five-stage roadmap.
Apply the framework to a specific marketing challenge.
Identify opportunities for AI implementation in your own work.

Write a Blog Post: The Future of AI in Marketing

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Solidify your understanding of AI's future impact on marketing by writing a thought-provoking blog post.

Browse courses on AI in Marketing

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Research current trends and predictions for AI in marketing.
Develop a clear thesis statement for your blog post.
Write the blog post, supporting your thesis with evidence.
Edit and proofread your work before publishing.

Career center

Learners who complete AI, Automation, and Emerging Technology will develop knowledge and skills that may be useful to these careers:

Digital Marketing Specialist

The central responsibilities of a Digital Marketing Specialist are to create and execute marketing campaigns across various online channels. This course, which emphasizes AI technologies in marketing, will help a digital marketing specialist transform marketing strategies and optimize campaigns. The course dives deep into how AI enhances digital marketing strategies, including content creation, pay per click advertising, and search engine optimization. This course will give a digital marketing specialist the ability to enhance user engagement and improve campaign performance. The course's emphasis on real world examples and hands-on activities makes it directly applicable to the challenges faced by digital marketing professionals.

See salaries and explore the career path for Digital Marketing Specialist

Marketing Analyst

A Marketing Analyst uses data to understand consumer behavior and marketing campaign performance, a critical aspect of modern marketing. This course, focused on AI in digital marketing, provides a strong foundation in using predictive analytics and AI-driven customer insights to optimize strategies and create precise campaigns. By understanding how AI enhances digital marketing strategies, from content creation to search engine optimization, one can be more effective in this role. The skills acquired from this course are highly relevant to the analytical responsibilities of a marketing analyst, especially in today's technologically advanced marketing environment.

See salaries and explore the career path for Marketing Analyst

Search Engine Optimization Specialist

A Search Engine Optimization Specialist works to improve a website's ranking in search engine results. This course, focused on AI within digital marketing, will help this role keep up with the trends in search engine optimization. The course covers how AI enhances digital marketing strategies, with a focus on search engine optimization. It also explores how AI improves the visual search process, which boosts product discovery and enhances the user experience. The comprehensive nature of the course, along with hands-on projects and examples, are particularly useful for Search Engine Optimization Specialists. This role benefits greatly from a grasp of cutting-edge technological advances.

See salaries and explore the career path for Search Engine Optimization Specialist

Marketing Manager

A Marketing Manager is responsible for planning, directing, and coordinating marketing efforts for a business, encompassing various strategies and campaigns. This course helps Marketing Managers understand the potential of AI in digital marketing, which is critical for creating and implementing modern marketing strategies. This course's focus on AI driven predictive analytics, optimization, and user engagement is directly applicable to planning and executing marketing initiatives. The course's inclusion of tools and examples means that this role can benefit greatly by understanding how technology can be used in marketing management.

See salaries and explore the career path for Marketing Manager

E-commerce Marketing Specialist

An E-commerce Marketing Specialist is focused on driving sales and marketing efforts for online stores. This course, emphasizing AI in marketing, equips e-commerce specialists with the skills to optimize online campaigns and enhance user engagement. The course's deep dive into visual search and AI-powered product discovery makes it highly relevant for anyone in this career, as these play a key role in e-commerce. The course's real world examples will help e-commerce marketing specialists see how to incorporate new and emerging technologies into their workflow, and this may help them to drive sales.

See salaries and explore the career path for E-commerce Marketing Specialist

Social Media Manager

A Social Media Manager is focused on overseeing a company's social media presence, creating content, and engaging with audiences. This course helps a social media manager understand how AI can be used to optimize engagement and enhance marketing outcomes on social media platforms. A focus on predictive analytics and AI powered tools means that a social media manager can leverage data to improve user experience and campaign success. The course's hands-on approach is well suited for social media managers to implement new technologies and strategies.

See salaries and explore the career path for Social Media Manager

Content Strategist

A Content Strategist plans and creates content that aligns with marketing goals and targets specific audiences. This course will assist a content strategist in understanding how to use AI for content creation, ensuring that content strategy remains at the cutting edge of technological innovation. The course's exploration of how AI can enhance content discovery, along with its focus on predictive analytics for user insights, means that a Content Strategist can deliver more effective content that has a measurable impact. This course will provide real world examples and opportunities to use AI powered tools in a manner that is immediately helpful.

See salaries and explore the career path for Content Strategist

Brand Manager

Brand Managers oversee the image and messaging of a company's brand, implementing marketing strategies to enhance brand perception and drive growth. This course may be helpful, as it explores leveraging AI technologies to transform marketing strategies, optimize campaigns, and enhance user engagement. Brand managers will find the course's focus on predictive analytics and AI driven customer insights useful for understanding how to tailor brand messaging for specific audiences. The course's exploration of how AI can enhance marketing strategies and engage users may help a brand manager better achieve marketing objectives.

See salaries and explore the career path for Brand Manager

Marketing Consultant

A Marketing Consultant provides expert advice to businesses on marketing strategies, assisting with planning and implementation. This course may be useful in helping a consultant stay ahead of trends in digital marketing. The course explores how AI enhances digital marketing, covering areas such as content creation, search engine optimization, and pay per click advertising. The course's coverage of AI powered tools and techniques can help a marketing consultant offer cutting edge solutions. The focus on real world examples and practical applications enables a consultant to gain a deeper knowledge of emerging technologies.

See salaries and explore the career path for Marketing Consultant

Market Research Analyst

A Market Research Analyst examines market conditions to determine potential sales of a product or service. This course may be useful in that it focuses on predictive analytics and AI driven customer insights. The course's focus on how AI enhances digital marketing could prove relevant when conducting market research. While the course focuses on AI for marketing, the underlying principles can be applied to provide better insights in market research efforts. The skills taught in this course may be helpful in the field of market research.

See salaries and explore the career path for Market Research Analyst

Customer Experience Manager

A Customer Experience Manager focuses on enhancing customer satisfaction and loyalty through various interactions and touchpoints with a company. This course, with its focus on AI powered tools like chatbots and predictive analytics of user behavior, may be useful in understanding how to improve user experience. The course helps one to discover how to enhance user interactions using AI tools. The course will be applicable to many of the tasks that customer experience managers undertake, and can provide a great benefit for enhancing customer satisfaction and engagement.

See salaries and explore the career path for Customer Experience Manager

Data Analyst

A data analyst interprets data and turns it into information which can offer ways to improve a business. This course, which covers predictive analytics and AI driven customer insights, may be helpful in that it provides a better foundation in understanding data. The course explores how to use AI for predictive analytics. While this course is geared towards marketing, the principles and skills used apply to many other areas. This course's exploration of how AI enhances a marketing strategy can be applied to data analysis.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

A Business Intelligence Analyst is concerned with the use of data to inform business decisions. This course's focus on predictive analytics and AI driven customer insights may be helpful, as it can improve one's understanding of data analysis. The course explores how to leverage AI in the marketing field, but those skills can be valuable when attempting to understand data across different areas of business. The business intelligence analyst can take the tools and techniques learned here and apply them to their work, which may help improve analytics and business outcomes.

See salaries and explore the career path for Business Intelligence Analyst

Product Manager

A Product Manager plans and manages the development of a company's products. This course, which covers AI driven tools and techniques used in the marketing field, may be helpful in that it provides product managers with a better understanding of how AI is used to improve user engagement and product discovery. The course's emphasis on predictive analytics may be helpful in providing valuable insights. While this course is not directly concerned with product development, it may provide product managers with an improved sense of how to develop and market products in the modern era.

See salaries and explore the career path for Product Manager

Sales Representative

A Sales Representative is responsible for selling a company's products or services to customers. This course, which covers AI tools and techniques used in the marketing field, may be helpful in that it can provide a better understanding of a product's appeal and how it can be better positioned in the market. The course's emphasis on AI driven customer insights and visual search may prove useful for sales representatives. While this course is not directly focused on sales, a sales representative may be better able to understand how marketing and AI can improve overall performance.

See salaries and explore the career path for Sales Representative

Reading list

We've selected two 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 AI, Automation, and Emerging Technology.

Marketing Artificial Intelligence

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Provides a comprehensive overview of how AI is transforming marketing. It covers various AI applications in marketing, including content creation, personalization, and analytics. It serves as a valuable reference for understanding the practical implications of AI in the field and provides real-world examples.

Marketing Artificial Intelligence: AI, Marketing,...

Hardcover

Marketing Artificial Intelligence: AI, Marketing,...

Kindle Edition

The AI Marketing Canvas

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Provides a practical framework for implementing AI in marketing. It outlines a five-stage roadmap to help marketers understand and apply AI technologies effectively. It is particularly useful for those looking to develop a strategic approach to AI adoption in their marketing efforts.

The AI Marketing Canvas: A Five-Stage Road Map to...

Hardcover

AI, Automation, and Emerging Technology

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What's inside

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Activities

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Reading list

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