The 10 Best AI Marketing Courses in 2025
Marketing teams of Fortune 500 companies to small businesses are turning to AI marketing courses. Such courses can help master the technologies reshaping customer engagement and campaign optimization. Artificial intelligence has completely transformed digital marketing; as a result, marketers are seeking structured education to harness it effectively.
This guide examines leading AI marketing courses that equip marketers with concrete skills; we’ll explore how these programs can help you find a balance between traditional marketing principles and the technology of the future.
Boost Your Marketing With These 10 AI Marketing Courses
Everyone is eager to participate in the AI revolution; this includes course sellers, too. But not many can offer you actionable knowledge or even fully explain how AI can help your business. For example, how to include AI in your martech stack or how AI affects email marketing for small businesses.
We reviewed more than 50 courses to compile a list of AI marketing programs that offer incredible value and prepare you for the future of marketing. This curated selection represents the most effective pathways for marketing professionals to develop expertise in AI applications and implementation.
The 10 best AI marketing courses are:
- Google AI Essentials,
- AI in Marketing by Udemy,
- Artificial Intelligence in Marketing by the University of Virginia,
- HubSpot Academy’s AI for Marketing Course,
- Artificial Intelligence In Digital Marketing,
- LinkedIn Learning’s Artificial Intelligence for Marketing,
- Prompt Engineering for ChatGPT by Vanderbilt University,
- Marketing AI Program from Cornell University,
- AI-Driven Marketing Strategy from Columbia Business School,
- AI In Digital Marketing Course by Digital Marketing Institute.
Below, you can find relevant details on each course to help you decide which one is right for you.
Related Reading
Check out these topics on AI that offer you insight into how machine learning can boost your marketing efforts:
These resources can give you a clear idea of what the future looks like with AI. And the courses below can prepare you for it.
1. Google AI Essentials is Great for Beginners
Google AI Essentials is designed to provide learners with foundational AI knowledge. This includes an understanding of how AI tools work and how they can be applied in everyday work scenarios.
The course covers the basics of AI, such as its capabilities and ethical considerations, making it accessible to beginners. It teaches practical skills in integrating AI into workflows and exploring tools to automate tasks and increase productivity. The course is ideal for professionals who want to leverage AI without needing deep technical expertise.
Difficulty Rating and Cost
The course is beginner-friendly, and no prior technical knowledge is required. Google AI Essentials is free through Coursera, especially if you enroll in any Google Professional Certificate course. Some learners may also access it as part of a subscription plan on Coursera Plus.
Course Modules
| Module no. | Module Title | Description |
|---|---|---|
| 1 | Introduction to AI | In this module, students learn about AI’s role in the world and its key concepts. |
| 2 | Maximize Productivity with AI Tools | This module covers various AI tools and how to integrate them into work tasks. |
| 3 | Discover the Art of Prompting | The purpose of this module is to help students fully understand how to use prompts. |
| 4 | Use AI Responsibly | The topic covers ethical considerations when using AI. |
| 5 | Stay Ahead of the AI Curve | Students are offered strategies to keep up with AI innovations and developments. |
2. AI in Marketing by Udemy Offers Actionable Advice
The AI in Marketing course by Udemy introduces learners to leveraging ChatGPT for marketing. This course focuses on practical applications like crafting SEO-optimized blogs, email campaigns, and landing pages. The topics also cover generating ad copy and social media posts.
Students can expect an interactive, hands-on experience with tools like ChatGPT, demonstrating how to enhance efficiency and effectiveness in marketing campaigns.
Difficulty Rating and Cost
We rate this course as medium difficulty; it’s beginner-friendly and suitable for those new to AI in marketing. It also offers actionable insights for intermediate marketers. The course costs $19.99, but typically there are discounts.
Course Modules
| Module no. | Module topic | What the module is about |
|---|---|---|
| 1 | AI Marketing Tools | This module introduces artificial intelligence tools businesses can use to automate marketing processes. |
| 2 | AI for Branding | This module teaches marketers how to analyze customer sentiment and refine brand messaging. |
| 3 | AI for Content Marketing | This section explores how AI can help generate high-quality blogs and articles. |
| 4 | AI for Design | AI-powered design tools are the focus of this module, discussing graphics, videos, and other visual assets. |
| 5 | AI for Social Media Marketing | The module teaches how social media teams can use AI to automate content creation. |
| 6 | AI for Paid Social Media | In this part, businesses discover how AI improves targeting, analyzes campaign performance, and maximizes ROI. |
| 7 | AI for Paid Search | The module explains the use of AI to improve pay-per-click campaigns, keyword research, bid optimization, and ad performance tracking. |
| 8 | AI for Email Marketing | AI applications in email marketing are the focus of this module. |
| 9 | AI for SEO Marketing | It explains how AI analyzes search trends, audits website content, and provides recommendations to outrank competitors. |
| 10 | Action Plan | The Action Plan module integrates the insights and tools covered in previous modules. |
3. The Artificial Intelligence in Marketing Course Teaches with Examples
Artificial Intelligence in Marketing by the University of Virginia takes a technical route to explain the workings of AI to marketers.
The course emphasizes three critical enablers of AI:
- Algorithms,
- Networks,
- Data.
Through engaging content, such as expert interviews and case studies from leading companies like Netflix and The Washington Post, learners explore the transformative potential of AI in creating competitive marketing strategies.
Difficulty Rating and Cost
The course is for beginners and costs $60 if you want the certificate. The course material minus graded items is free.
Course Modules
| Module no | Module | What’s in it? |
|---|---|---|
| 1 | What Is AI? | This introduces AI concepts, history, and key technologies like machine learning. |
| 2 | Networks and Effects | This section explores network-driven marketing strategies, focusing on leveraging network effects. |
| 3 | Data-Driven AI | The module helps students understand how businesses use data for competitive advantage in marketing. |
| 4 | AI Relationship Moments | This module explains how to combine algorithms, data, and networks to create personalized customer engagement. |
4. HubSpot Academy’s AI for Marketing Course is Suitable for HubSpot Users
The HubSpot Academy AI for Marketing Course introduces key concepts, tools, and ethical considerations for using AI in marketing.
It includes practical examples of how AI can optimize tasks like content personalization, lead scoring, and ad management. The course also teaches students how to use HubSpot as a platform effectively.
Difficulty Rating and Cost
The course is free, and it is meant for beginner marketers aiming to learn more about integrating AI into their marketing tasks.
Course Modules
| Module no | Module Title | Description |
|---|---|---|
| 1 | Introduction to AI for Marketers | This module introduces Artificial Intelligence (AI) ‘s fundamental concepts and applications. |
| 2 | How to Use AI in Marketing | This part explores practical ways to implement AI in marketing strategies and covers topics such as using AI for data analysis and content creation. |
| 3 | Better Prompts for Better Results: AI Prompting for Marketers | This lesson focuses on the importance of effective prompt engineering when interacting with AI tools. |
| 4 | AI Marketing Insights for Strategic Decision Making | In this section, students learn how AI can be used to gain valuable insights from marketing data. |
| 5 | AI For Marketing Campaigns | This module covers specific applications of AI, such as targeted advertising, email marketing, and personalization. |
| 6 | Next Steps: AI for Marketers | The final section offers guidance on how to continue learning about and implementing AI in marketing. |
5. Artificial Intelligence in Digital Marketing Covers the Basics
The Artificial Intelligence In Digital Marketing course from Udemy offers marketers a holistic view of AI in marketing.
It starts with fundamental concepts like defining AI and machine learning and then examines how Google leverages these technologies.
The curriculum covers several key areas where AI is impacting marketing. The course also introduces chatbots as a popular AI application in customer service. It provides insights into how marketers can future-proof their strategies by developing AI skills, such as using SQL for data analysis.
Difficulty Rating and Cost
The course is beginner-friendly and typically costs around $18, but Udemy constantly runs promos, so it’s possible to find a better deal.
Course Lectures
| Lecture no | Lecture | Covered topics |
|---|---|---|
| 1 | Introduction | Students get an overview of the course. |
| 2 | What Is AI And Machine Learning? | This lecture explains the fundamental concepts of AI and machine learning and their applications in digital marketing. |
| 3 | Google As An AI-First Company | This lesson talks about how Google has adopted AI. |
| 4 | Preparing For Semantic Search | This lecture explains how semantic search changes traditional SEO. |
| 5 | Big Data | The lesson discusses how AI analyzes and uses vast data sets to inform marketing strategies. |
| 6 | Computer Vision | Students will learn about computer vision technology and its use in recognizing and analyzing images and videos. |
| 7 | Advertising | This section talks about the integration of AI in advertising. |
| 8 | Email Marketing | In this lesson, students learn how AI can transform email marketing results. |
| 9 | Chatbots | The role of AI-driven chatbots in improving customer service is covered here. |
| 10 | Developing Your AI Skills – Using SQL | This lecture introduces SQL as a tool for marketers to manage and analyze data. |
| 11 | How To Future Proof Your Marketing | Finally, students are offered strategies for adapting to future technological advancements. |
6. Artificial Intelligence for Marketing is an Engaging Course
The Artificial Intelligence for Marketing course on LinkedIn Learning introduces AI’s transformative power in modern marketing.
The course offers a comprehensive guide to integrating artificial intelligence and machine learning into modern marketing.
It begins by simplifying AI concepts, including:
- Natural language processing,
- Chatbots,
- Computer vision.
By blending human creativity with AI-driven insights, participants are equipped to adapt to the future of marketing, which involves AI.
Difficulty Rating and Cost
The course is suitable for students at both beginner and intermediate levels. The course is free if you haven’t yet used up your free LinkedIn Learning trial period. If you have, you can get a subscription for $19.99 per month when billed annually.
Course Lectures
| Module no | Module | Lectures |
|---|---|---|
| 1 | Introduction | Artificial intelligence and machine learning in marketing |
| 2 | What Is Artificial Intelligence? | Defining artificial intelligence |
| A word of caution | ||
| Why AI now? | ||
| Natural language processing | ||
| Conversation bots | ||
| Computer vision | ||
| Self-driving cars and robots | ||
| Chapter Quiz | ||
| 3 | What Makes Machine Learning Different? | Machine learning: A new type of software |
| Supervised learning | ||
| Unsupervised learning | ||
| Reinforcement learning | ||
| Chapter Quiz | ||
| 4 | Where Machine Learning Shines | Dimensionality and cardinality |
| Programmatic advertising and attribution | ||
| Personalization with AI | ||
| Chapter Quiz | ||
| 5 | Onboarding AI Tips | Clearly identified goals |
| Know your data | ||
| Which projects are right for AI and ML? | ||
| Buy vs. Build | ||
| Determine which data sets are useful | ||
| Navigate corporate culture | ||
| Chapter Quiz | ||
| 6 | Being a Valuable Human | What humans do better than machines |
| Integrated cognition is your superpower | ||
| Augment yourself | ||
| Chapter Quiz | ||
| 7 | Conclusion | Marketing gets weird – here comes the future |
| Taking action to begin using AI in marketing | ||
| Chapter Quiz |
7. Prompt Engineering for ChatGPT Can Make You a ChatGPT Power User
This course on Prompt Engineering for ChatGPT from Vanderbilt University introduces learners to the art of creating effective prompts for ChatGPT.
It emphasizes structured prompting, providing hands-on exercises to develop skills for practical applications like content creation, brainstorming, and data analysis. The course equips working professionals with actionable knowledge on making ChatGPT a powerful ally in day-to-day tasks.
Difficulty Rating and Cost
The course is beginner-friendly. No prior experience in AI or programming is required. Like other Coursera programs, this course is free to audit. For a certificate, users will need to pay around $49.
Course Modules
| Module no | Module Title | Description |
|---|---|---|
| 1 | Course Introduction | This module provides an overview of the course and its objectives. |
| 2 | Introduction to Prompts | The fundamental concepts of prompts are covered in this section, as well as different prompt types and basic prompt structures. |
| 3 | Prompt Patterns I | This module introduces the first set of prompt patterns: Cognitive Verifier, Audience Persona, Flipped Interaction. |
| 4 | Few-Shot Examples | This module explores the concept of few-shot learning, where the model is provided with a few examples of desired outputs to guide subsequent responses. |
| 5 | Prompt Patterns II | This part shares another set of prompt patterns: Game Play Pattern, Template Pattern, Meta Language Creation Pattern, Recipe Pattern, Alternative Approaches. |
| 6 | Prompt Patterns III | Here, students are introduced to advanced prompt patterns:Combined Patterns,Outline Expansion Pattern,Menu Actions Pattern,Fact Check List Pattern,Tail Generation Pattern,Semantic Filter Patter. |
8. The Marketing AI Program from Cornell University Offers Industry Insights
The Marketing AI program from Cornell University equips marketing professionals with the tools to integrate artificial intelligence into their strategies. Over 2 months, students will explore key areas such as paid and owned media opportunities.
The program emphasizes practical learning with live symposiums that cover current AI trends, providing students with direct access to industry insights and peer discussions.
Difficulty Rating and Cost
We rate this course “Intermediate to Advanced.” The cost is approximately $3,699 for the full program. This may vary based on the specific cohort or region.
Course Modules
| Module no | Module | What students will learn |
|---|---|---|
| 1 | Digital Transformation in Marketing | The lectures in this module explain how digital technology is reshaping marketing strategies. |
| 2 | Assessing Opportunities in Paid Digital Media | This section focuses on optimizing paid media efforts using AI tools. |
| 3 | Assessing Opportunities in Owned Digital Media | Students will learn how to leverage owned channels with AI for better targeting. |
| 4 | Marketing Automation and AI | The module covers both marketing automation and AI tools. |
| 5 | Marketing Symposium | This is a live session that ties together course material with real-world case studies. |
| 6 | AI Symposium | These are live sessions focused on AI’s evolving role in marketing. |
9. The AI-Driven Marketing Strategy Course is for Industry Leaders
Columbia Business School’s AI-Driven Marketing Strategy program is an in-person program spread over 4 days. Conducted at its Manhattanville Campus in New York, it targets C-suite executives, brand managers, product managers, and CTOs. The program helps professionals in leadership roles level up their marketing strategies with AI and understand sustainable business growth.
The program emphasizes the importance of understanding the customer journey, which has been significantly altered by advancements in technology such as generative AI.
Difficulty Rating and Cost
The course is moderately difficult, targeting professionals with experience in marketing and business strategy. That said, beginners with a keen interest in AI can also benefit. The course fee is $9,950.
Course Modules
| Day | Topic | Description |
|---|---|---|
| Day 1 | Customer Acquisition, Retention, and Development in a New Technological Environment | On day 1, students learn about the influence of generative AI on the marketing industry. |
| Day 2 | Digital Marketing Channels | This module dives deep into various customer acquisition technologies as well as advertising and social media. |
| Day 3 | Aligning Customer Management Goals and Digital Marketing Channels | This day is all about the impact of AI and how to incorporate AI into martech stacks. |
| Day 4 | Investment and Budget Management | This part teaches students how to effectively measure outcomes and allocate budgets. |
10. AI In Digital Marketing Shows You How to Drive Business Growth
The AI in Digital Marketing course from the Digital Marketing Institute provides a comprehensive introduction to how AI is revolutionizing digital marketing.
Students will learn how AI tools can:
- Analyze consumer data,
- Automate content creation,
- Enhance social media marketing,
- Improve email marketing campaigns.
Through real-world examples, participants will see how AI can be implemented to streamline processes and boost marketing effectiveness.
Difficulty Rating and Cost
It is suitable for beginners, with no prior knowledge required, and is priced at $535.
Course Modules
| Module no. | Module Title | Topics covered |
|---|---|---|
| 1 | AI-Driven Digital Marketing | The module explores how to apply AI to digital marketing strategies, including generative AI, predictive analytics, and ethical considerations. |
| 2 | Implementing AI-Driven Digital Marketing | Here, students learn about implementing AI across content marketing, SEO, customer experience, automation, and social media. |
| 3 | ChatGPT, Stability AI, and Other Smart Tools | This lesson focuses on using ChatGPT and Stability AI to scale and optimize content generation. |
| 4 | Essential Skills for Marketers in an AI-Driven World | This section teaches students to combine technical skills with strategic thinking, agile thinking, and creativity. |
Prepare for the Future of Email Marketing
The above courses are a great way to introduce AI into your marketing processes. For example, AI in email marketing is evolving at light speed, and if you don’t jump on the bandwagon today, you might miss out.
We recommend you read our piece on email marketing courses and check out other technical articles to help you become a better email marketer.
The best step you can take toward better email performance is to partner with Campaign Refinery.
Campaign Refinery Plus Artificial Intelligence is the Future
With AI, we expect the future of email marketing to see a powerful revolution.
Artificial Intelligence will enable:
- Better email personalization,
- Give you more insight into email campaign metrics,
- Help you implement a better email segmentation strategy,
- Achieve a better email marketing conversion rate.
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