AI for Marketing

Overview

AI for Marketing focuses on using text, image, video, and audio generation plus AI features in martech platforms to produce more, on brand, with proper…

What you will learn

  • Map AI tools to marketing tasks and prompt with a brand voice guide (Module 1).
  • Produce personas, messaging frameworks, and content calendars from research (Module 2).
  • Build an SEO content cluster optimized for search and AI-powered answers (Module 3).
  • Create brand-consistent images, short video, and voiceover with generative tools (Module 4).

Prerequisites

  • Required: Marketing experience. No technical background. Access to an AI assistant and at least one image generation tool [confirm]. No coding required.
  • Helpful: Experience with any marketing automation or analytics platform. If you have never used an AI assistant, start with Enterprise AI Literacy.

Curriculum

  1. Module 1: AI Foundations for Marketers

    • Topics: Text, image, video, and audio generation; AI in martech platforms; opportunities and risks; brand voice as context; audience and channel framing; iteration and editing.
    • Deliverable: Brand voice prompt. Completion check: Module 1 assessment.

    Hands-on:

    • Practice: Brand Voice System Prompt. Voice guide tested on three content types.

  2. Module 2: Research, Personas, and Strategy

    • Topics: Competitor and trend analysis; review and feedback mining; persona development; positioning and messaging frameworks; campaign planning; content calendars.
    • Deliverable: Persona kit. Completion check: Module 2 assessment.

    Hands-on:

    • Practice: Persona and Messaging Kit. Three personas and a messaging framework.

  3. Module 3: Content Marketing and SEO

    • Topics: Blogs, guides, and landing pages; repurposing; editing and quality control; keyword and intent research; optimizing for AI-powered search; structured content and schema.
    • Deliverable: Content cluster. Completion check: Module 3 assessment.

    Hands-on:

    • Practice: SEO Content Cluster. Pillar page with supporting articles.

  4. Module 4: Visual, Video, and Audio Creation

    • Topics: Prompting for visuals; brand-consistent imagery; rights and licensing; script to video tools; voiceover and localization; short-form social video.
    • Deliverable: Creative set. Completion check: Module 4 assessment.

    Hands-on:

    • Practice: Campaign Creative Set. Images, a short video, and a voiceover.

  5. Module 5: Social Media and Community

    • Topics: Platform-specific posts and carousels; hooks and engagement; scheduling workflows; sentiment analysis; response drafting; crisis awareness.
    • Deliverable: Social plan. Completion check: Module 5 assessment.

    Hands-on:

    • Practice: Thirty-Day Social Plan. A month of posts and a response playbook.

  6. Module 6: Email, Personalization, and Automation

    • Topics: Subject lines and copy variants; nurture sequences; A/B testing; segmentation and dynamic content; AI in marketing automation; lifecycle journeys.
    • Deliverable: Nurture sequence. Completion check: Module 6 assessment.

    Hands-on:

    • Practice: Nurture Sequence Builder. Segmented five-email sequence with variants.

  7. Module 7: Paid Media, Analytics, and Optimization

    • Topics: Ad copy generation; AI features in ad platforms; creative testing; performance summaries; attribution questions; reporting narratives.
    • Deliverable: Performance report. Completion check: Module 7 assessment.

    Hands-on:

    • Practice: Campaign Performance Review. Analysis, recommendations, and a report.

  8. Module 8: Governance, Ethics, and Marketing AI Operations

    • Topics: Disclosure and authenticity; copyright and brand safety; data privacy in personalization; workflows and approvals; tool stack selection; team upskilling.
    • Deliverable: Playbook. Completion check: Module 8 assessment.
    • Capstone (independent work, [CAPSTONE_HOURS] hours): A full AI-assisted campaign: research, personas, messaging, content cluster, creative assets, email sequence, social plan, and a performance review with governance notes.

    Hands-on:

    • Practice: Marketing AI Playbook. Workflows, approvals, and tool guidelines.

Course fee

$699 $399

What's included

  • Live cohort + recordings: Attend every session live and revisit the recordings for one year.
  • Real lab environment: Practise on a hands-on environment that mirrors real projects.
  • Live doubt-clearing support: Ask questions and get answers in real time during every session.
  • Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
  • Learning assets: Keep the slides, notes, and reference material for good.
  • Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
  • Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
  • Global peer community: Learn with a global cohort and stay connected after the program.

In short

AI for Marketing is a 24-hour instructor-led course covering Module 1: AI Foundations for Marketers, Module 2: Research, Personas, and Strategy, Module 3: Content Marketing and SEO. It includes guided practical labs.

Key facts

  • Course: AI for Marketing
  • Duration: 24 hours
  • Modules: 8
  • Format: instructor-led live training

Frequently asked questions

Which AI tools are used for images and video?

[Confirm tools]. Techniques transfer across major generation tools; licensing and rights are covered in Module 4.

Does the course cover SEO for AI search?

Yes. Module 3 covers optimizing content for AI-powered answers alongside traditional search.

Do I need access to a marketing automation platform?

No. Platform AI features are demonstrated. Email and nurture labs are built in documents and spreadsheets you can load into any platform.

How is this different from AI for Sales?

AI for Sales covers prospecting, outreach, discovery, and pipeline. This course covers brand, content, creative, social, email, and paid media.

Will generated content be safe to publish?

Module 8 covers disclosure, copyright, and brand safety, and every lab includes an editing and review step. Final publication decisions remain with your organization.

Is this course technical?

No. There is no coding. Analytics work uses spreadsheets and AI summaries.

What do I keep?

A brand voice prompt, persona kit, content cluster, creative set, social plan, nurture sequence, performance report template, and playbook.

Is a corporate version available?

Yes, with labs on your brand and channels.

Topics covered

AI for Marketing, Artificial intelligence, Corporate training