Popular Lesson
Define what generative AI means in practical, simple terms.
Identify the main types of generative AI you’ll encounter (text and media generators).
Understand how generative AI creates new content—rather than just copying or repeating existing material.
Recognize the difference between large language models and diffusion models.
Connect the features of generative AI to common marketing tasks and content creation needs.
Working with AI in digital marketing can feel confusing unless you understand the basics of what these tools do. Generative AI is a specific branch of artificial intelligence focused on creating entirely new content—such as text, images, audio, or video—based on massive amounts of patterns learned during its training. Unlike older AI tools that simply matched inputs to pre-written scripts or reused existing assets, generative AI provides original outputs every time.
Throughout this course, whenever you see “AI,” it refers to this creative, content-producing kind. There are two major groups: large language models (LLMs), like ChatGPT, which produce and respond in text, and diffusion models, which generate images, videos, and music. Generative AI tools have rapidly advanced, offering immediate benefits to marketers, businesses, creators, and even small teams. For example, you can now write compelling ads, design graphics for campaigns, or automate the production of email scripts—faster and in more creative ways than ever before. By starting with this lesson, you’ll lay the groundwork to choose, compare, and use the right AI tools for marketing success and productivity.
If you’re curious about how AI generates new content, or you want to use AI more effectively in your work, this lesson is designed for you.
Understanding what generative AI is and how it works is a starting point for making smart choices about which tools to use for digital marketing tasks. This lesson introduces how generative AI fits into projects such as campaign development, content brainstorming, or ad creation. For example, when you need to draft a blog post, generative AI can help generate outlines and copy. When designing graphics for social media, image-generation tools can provide quick, unique concepts. Recognizing the main types of generative AI—LLMs and diffusion models—helps you know which tool belongs where in your workflow, supporting both creativity and efficiency from the very start of a campaign to the creation of finished marketing assets.
In traditional workflows, writing marketing copy or creating visuals often involved repetitive manual effort or outsourcing to specialists. With generative AI, you generate original text, images, or audio by prompting a tool, reducing the back-and-forth and manual revisions. For instance, instead of waiting on a designer, you can use a diffusion model to generate ad graphics instantly. Or, you can use a large language model to draft email sequences, saving hours of brainstorming and editing. This shift means faster turnaround, fresher creative output, and the ability to experiment at a larger scale with lower costs. If you need to tailor messaging or adapt visuals for specific audiences, generative AI delivers unique variations on demand—making workflows more responsive and adaptable to your marketing needs.
To see how generative AI works in action, imagine you’re planning a new product launch and need fresh content quickly.
This lesson is an early building block in the AI-Powered Digital Marketing course, helping you understand the basics of generative AI before you get hands-on with tools and tactics. Previously, you explored the course setup and objectives. Now, knowing what generative AI really is, you’re prepared to spot opportunities to use these tools smartly. Next, you’ll move from definitions to practical applications, seeing exactly how generative AI can fuel your marketing content and campaign strategies. Continue learning to make the most of your AI-powered marketing toolkit.