It depends where you're starting. If you need digital marketing fundamentals, begin there. If you already run campaigns and want to bring AI into that work, a focused course on generative AI for marketing makes more sense. This one sits at intermediate level and assumes you know marketing. What sets it apart from broader AI marketing courses is covering answer engine optimization, agentic systems, and ROI measurement rather than stopping at content generation.

No. Basic digital marketing knowledge helps, as does some familiarity with tools like ChatGPT or Gemini. Prompt engineering is written instruction rather than programming, and nothing in the course requires code.

Around 12 hours across four modules of roughly three hours each, at your own pace. Coursera estimates a week at ten hours. You get 48 video lessons, four graded assignments, four hands-on peer-reviewed exercises, eight discussion prompts, and a GenAI implementation planning project.

Traditional SEO gets you ranked in a list of links. Answer Engine Optimization gets you cited in AI-generated answers, where the user often never clicks through to a site at all. Module 2 covers semantic search, content hub strategy, and the credibility signals answer engines draw on.

Consistency at scale comes from process, not prompt quality. Document your brand standards, feed them into every prompt, review at set checkpoints, and validate before anything publishes. Skip any of those and the drift shows up in the volume you weren't checking. The course covers brand governance, validation tools, managing hallucination risk, and how to balance personalization at scale against a consistent brand voice.

Agentic AI differs from the generative tools most marketers already use in one respect: autonomy. A generative assistant produces output in response to each request. An agentic system is given an objective and works toward it across multiple steps, determining the next action on its own. For marketing teams, this changes the unit of delegation. You assign a campaign goal rather than a series of tasks. Applications include campaign planning that proceeds without a brief for every iteration, multi-variant testing that optimizes itself, and customer journeys that adapt to behavior rather than following a preset path. The course examines where this shift delivers genuine value and where human oversight remains essential.

By tying AI use to three things, you can actually measure productivity gained, revenue lifted, and campaign performance improved. Module 4 covers ROI frameworks, quantifying revenue uplift, performance dashboards, and building the internal case that links AI spend to business results.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.