Learn how generative AI can transform marketing content, campaign execution, personalization and performance analysis through practical tools, exercises and real-world case studies.
By Board Infinity · Offered on Coursera
ChatGPT, DALL·E and Synthesia applied to real marketing tasks
Issued through Coursera, add it to LinkedIn in one click
8 assignments across the two modules, plus 6 case studies
Not a tour of AI tools. Two modules that take you from prompting to content, then from content to campaigns you can measure.
Generative AI in Marketing is a practical course in using AI across the work marketers actually do - writing content, making creative, running campaigns and reading the results. It starts with what generative AI is and how it helps marketers, then spends the rest of its time on application.
Module one is about making things: prompt engineering, blog and article content, social posts, ad copy and product descriptions with ChatGPT, marketing images with DALL·E, and video with Synthesia. Module two is about running things: email personalization, paid ads, A/B testing and campaign analysis, with predictive analytics and sentiment analysis alongside.
Theory, hands-on practice, case studies and quizzes throughout - including six case studies on AI-generated video ads, email personalization and AI-driven ad campaigns. It assumes no prior AI or coding experience, and it closes on the part most tool tutorials skip: ethics, brand voice and quality control.
The course FAQ names four audiences. If one of these is you, this is the starting point it was written for.
Learn practical ways to use generative AI across content, campaigns and marketing execution - from ad copy to A/B testing.
Use AI tools to create and adapt blogs, social content, ads, images and video, without losing the voice you already have.
Explore AI-powered personalization, content creation and campaign optimization while maintaining brand voice and quality control.
Understand how generative AI can support marketing workflows, customer engagement and campaign execution when resources are tight.
These are the four learning outcomes Coursera lists for the course, grouped the way the work actually splits - making it, running it, measuring it, and doing it responsibly.
Apply ChatGPT, DALL·E and other AI tools to create blog posts, ads, social media, images and video content tailored to brand needs - with the prompting basics that make the output usable.
Automate marketing workflows with AI, including campaign targeting, personalization, customer segmentation and optimization - applied to email campaigns and customer journeys.
Analyze real-world case studies of AI in digital marketing to connect strategy with measurable performance outcomes - paid ads, A/B testing, predictive analytics and sentiment analysis.
Evaluate ethical, creative and strategic considerations when applying AI tools in marketing campaigns - plus maintaining brand voice and quality control as output scales.
A dedicated Board Infinity coach who does this work for a living - someone who can look at what you have made and tell you why it is not landing yet.
Explore 1:1 coaching60-minute demo session · 100% refundable · no obligation to continue. Coaching is a separate Board Infinity service and is not part of the Coursera course.
Bring the ad copy, the image, the email - and get told what a practitioner would change.
Move past one-off results to prompts that produce the same quality every time you run them.
The course teaches the method. A coach maps it onto the channels and audience you actually work with.
Which direction fits you - content, performance, analytics or automation - and what to learn next.
Five hours end to end, fully self-paced. Every lesson, reading and assignment Coursera lists is below - nothing summarised away.
This module explores how generative AI tools support content creation across blogs, images, videos and ads. You will learn natural language processing, prompt engineering and AI-based design workflows. Practical labs will help you apply ChatGPT for ad copy, DALL·E for image generation and Synthesia for video content, while understanding ethical use cases and brand alignment.
This module focuses on AI-driven automation in marketing campaigns. You will apply AI tools to personalize email campaigns, create targeted ads, optimize A/B testing, and analyze campaign performance. Using case studies, you will explore predictive analytics, sentiment analysis, and real-world applications of AI in campaign management.
Module titles, lesson titles, durations and counts are taken from the course page on Coursera, where the course is hosted and may be updated by the instructor.
Nothing to install and no coding. These are the tools the course works with, and the capabilities Coursera lists against it.
Used across module one for blog and article content, social posts, ad copy and product descriptions - and for the prompting basics behind all of it.
Generating marketing images from written prompts, covered in the AI image lessons alongside AI-based design workflows.
AI video creation for marketing, leading into the case study on AI-generated video ads at the end of module one.
The tool Coursera lists for this course: the workflow patterns that connect AI to personalization, targeting, email and campaign optimization.
These are tools used and discussed in the course. The course does not certify you in ChatGPT, DALL·E or Synthesia, and Board Infinity is not affiliated with, endorsed by or sponsored by OpenAI, Synthesia or any other tool referenced.
The capabilities Coursera lists for this course, grouped the way the work actually splits - making the content, running the campaign, and reading what came back.
Getting AI to produce something you would actually publish.
Getting it in front of the right person at the right moment.
Knowing whether it worked - and whether it should have run at all.
Complete the graded work and Coursera issues a shareable certificate for the course - one click onto your LinkedIn profile, or a link you can drop into a CV.
The certificate is provided through Coursera, according to Coursera's completion requirements. Board Infinity does not issue a separate certificate for this course.
Coursera's one-click button files it under Licenses & Certifications, where recruiters actually look.
A named, dated credential you can list against your marketing experience.
Shareable straight from Coursera, so the work is visible the day you finish it.
Awarded on the graded work - 8 assignments across the two modules.
Generative AI is not a job title - it is turning into a layer underneath most marketing ones. These are the areas where what this course covers is directly relevant.
Blog and article content, social posts and product descriptions - the module one material applies directly to the daily output.
Email, social and content channels run together - with AI personalization sitting across all of them.
Maintaining brand voice and quality control as AI output scales - covered explicitly in module two.
Paid ads, ad-copy optimization and A/B testing - the core of the second half of the course.
Campaign performance analysis, predictive analytics and sentiment analysis, applied to real case studies.
AI-powered workflows for targeting, segmentation and personalization across the customer journey.
Writing, testing and optimizing ad copy with AI - including pay-per-click campaigns.
Faster creative cycles and more tests per week - which is most of what a growth loop actually needs.
These are areas where the course's skills are relevant. The course does not guarantee a job, a salary, a promotion or any particular campaign result.
Every tool in this course has a free walkthrough somewhere. Nobody is pretending otherwise. What a structured course adds is the order you meet them in, the campaign context around them, and something at the end that says you finished.
This course stands on its own. These are the directions the skills open up - each one already has a foothold inside the syllabus.
Prompting, blog and social copy, ad copy, product descriptions, AI images and AI video - the whole of module one is this direction.
Covered in Module 1AI workflows for personalization, customer segmentation and targeting, applied to email campaigns and customer journeys.
Covered in Module 2Paid ads, ad-copy optimization and pay-per-click work, with AI-assisted A/B testing to decide what actually runs.
Covered in Module 2Holding brand voice and quality control as AI output scales, and the ethical considerations that come with it.
Covered in Module 2Campaign performance analysis, predictive analytics and sentiment analysis - connecting strategy to measurable outcomes.
Covered in Module 2Board Infinity runs a full catalogue of courses and specializations on Coursera - browse them all.
Everything learners ask before enrolling, answered plainly.
It means using generative AI tools - such as ChatGPT, DALL·E and Synthesia - to create and optimise marketing content and campaigns. In practice that covers blog and article content, social posts, ad copy, product descriptions, marketing images and video, and then using AI for personalization, targeting, A/B testing and campaign analysis. This course covers those applications across two modules.
It combines theory, hands-on practice and case studies. Short video lessons introduce each idea, practical labs have you apply it with the tools, and quizzes check it. Six of the lessons are case studies - on AI-generated video ads, AI-powered email personalization, AI-driven ad campaigns and a final wrap-up case study.
Digital marketers, content creators, brand managers and business owners. It is beginner-friendly throughout and assumes no AI or marketing-technology background.
No. The course is beginner-friendly and does not require prior AI or coding experience. It opens with what generative AI is and how it helps marketers, then covers the basics of AI prompting before anything else is asked of you.
Coursera lists it as 5 hours to complete, across 2 modules: AI for Content Creation (2 hours) and AI-Powered Marketing Execution (2 hours). Between them there are 22 video lessons, 2 readings and 8 assignments. The schedule is flexible and you learn at your own pace.
Eight - four per module. Each module has one graded quiz (30 minutes) and three practice quizzes (15 minutes each). Module one also includes a short plugin activity, Quick Course Check-In.
The course is taught in English, and Coursera lists 9 languages available for this course.
The course works with ChatGPT for text content, DALL·E for image generation and Synthesia for video, and covers AI-powered marketing workflows - which is what Coursera lists under Tools as "AI Workflows". These are tools used and discussed in the course; completing it does not certify you in any of them.
Yes. Module one covers generating marketing images with AI, using generative AI tools including DALL·E, alongside AI-based design workflows.
Yes. Module one covers AI video creation - basics and tools - and closes with a case study on AI-generated video ads.
Yes. Module two covers AI-powered email marketing and using AI to personalize marketing content, with a dedicated case study on AI-powered email personalization.
Yes to both. Module two covers AI for paid ads - writing and optimizing ad copy - and AI in A/B testing and performance analysis, followed by a case study on AI-driven ad campaign success.
Yes. Module two includes lessons on ethical considerations in AI marketing and on maintaining brand voice and quality with AI. Responsible AI is one of the skills Coursera lists for the course, and ethical use cases and brand alignment run through module one as well.
Yes - Coursera provides a shareable certificate according to its completion requirements. Board Infinity does not issue a separate certificate for this course.
Yes. Coursera's one-click button adds it to the Licenses & Certifications section of your LinkedIn profile, and it can equally go on a resume or CV, or be shared on social media.
Pricing, Coursera Plus inclusion and financial aid are all handled by Coursera and shown on the course page, where they can vary by region. Check there for the current terms rather than relying on this page.
Yes - this page is Board Infinity's own overview of the course. Enrollment, payment, video lessons, grading and the certificate all happen on Coursera, where the course is hosted. Think of this page as the detailed tour before you head there.
No, and any course that says otherwise is selling you something. It teaches methods, tools and judgement, and shows how others have applied them. What those methods produce depends on your product, your audience and your budget - none of which a five-hour course can control.
Board Infinity 1:1 coaching pairs you with a practitioner while you take the course.
Learn how generative AI can help you create content, personalize campaigns, automate workflows and make smarter marketing decisions.
Enroll on Coursera2 modules · 22 video lessons · 8 assignments · 5 hours · beginner level · shareable certificate
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