Generative AI for Digital Marketing — Course Blueprint

Generative AI for Digital Marketing — Complete Course Blueprint

A practical, end‑to‑end curriculum for business professionals, freelancers, digital marketers, startup teams, students, banks/financial services, and teachers. Designed for 6–8 weeks (fast‑track) or 12 weeks (full program) with hands‑on labs, templates, and capstone projects.

View Syllabus Tooling Map
1) Learning Outcomes

By the end, learners will be able to…

  • Use GenAI safely and effectively for research, ideation, copywriting, design, video, and code assistance.
  • Build AI‑assisted websites and landing pages that convert.
  • Plan and execute SEO strategies using AI for keyword research, on‑page content, technical checks, and content briefs.
  • Launch, optimize, and scale Google Ads, Meta/TikTok/LinkedIn ads with AI (creative testing, audiences, bidding strategies, and analytics).
  • Set up attribution & dashboards (GA4, Looker Studio) and run experiments (A/B tests) with AI support.
  • Implement automations with tools like Zapier/Make, integrate CRMs/CDPs, and create lead‑gen funnels.
  • Apply ethical AI, copyright, and privacy compliance (GDPR/CCPA/DPDP) in campaigns.

Quick Facts

  • Duration: 6–8 weeks (bootcamp) or 12 weeks (full).
  • Format: Live online + recordings + community + office hours.
  • Outputs: Landing page, SEO assets, ad sets, dashboards, automations, capstone.
Light UI Beginner → Advanced Human‑in‑the‑loop Compliance‑aware
2) Who This Course Serves

Tracks

  • Business Owners/Leaders: Strategy, ROI, vendor management, governance.
  • Freelancers & Agencies: Service packaging, pricing, proposals, client reporting automation.
  • Digital Marketers: Daily workflows, prompt libraries, AI copilots, campaign optimization.
  • Startup Teams: Rapid validation, growth loops, product‑led marketing.
  • Students & Career‑Switchers: Portfolio, certifications, workplace readiness.
  • Banks/Financial Services: Compliance‑ready content, risk review, internal approvals, RM enablement.
  • Teachers/Trainers: Lesson plans, AI‑assisted grading/rubrics, plagiarism/AI‑content policies.
3) Course Formats

Bootcamp

6–8 weeks • 2 sessions/week • 3 hours each • Weekly labs + 1 capstone

Full Program

12 weeks • 2 sessions/week • 2–3 hours • 2 capstones + specialization track

Corporate

4–6 weeks • Customized case studies • Internal data workflows • Governance

4) Module‑by‑Module Syllabus

Curriculum Overview

Module 0 — Orientation & Foundations (3h)
  • What is Generative AI (LLMs, image/video models), where it fits in marketing.
  • Prompt engineering 101: roles, format constraints, style guides, chain‑of‑thought without sensitive data.
  • Safety, bias, hallucinations; content verification checklist.
  • Data & privacy basics: PII, consent, data minimization, retention, opt‑outs; model policies.
  • Lab: Build your personal prompt style guide + brand voice profile.
Module 1 — Research, Strategy & Messaging (6h)
  • Market/competitor scans using AI; persona/s JTBD mapping; messaging pyramids.
  • Offer design and funnel mapping; lead magnets and nurture sequences.
  • Lab: Use AI to generate a 90‑day growth plan + KPI tree; create 3 ICPs with pains/gains.
Module 2 — AI Copywriting & Content Systems (6h)
  • Long‑form (blogs, guides), short‑form (ads, social), and email sequences.
  • Content repurposing graph: 1 pillar → 12 derivatives (threads, shorts, carousels, scripts).
  • Style transfer: brand voice, tone, and compliance rules; plagiarism checks.
  • Lab: Build a content calendar from 20 seed keywords + auto‑briefs per post.
Module 3 — Creative: Images, Video, and Design (6h)
  • Image generation/editing, brand kits, templates; stock replacement workflows.
  • Script → storyboard → video → captions → thumbnails using AI.
  • Lab: Produce a 30‑sec product video; generate 6 ad variants; brand‑safe asset pack.
Module 4 — Websites & Landing Pages with AI (6h)
  • Choosing stack: No‑code (Framer, Webflow, Wix AI) vs CMS (WordPress + AI plugins) vs code‑assist.
  • AI for UX writing, wireframes, sections, CTAs, form logic, schema, accessibility.
  • Speed/SEO: image compression, lazy loading, Core Web Vitals prompts; CRO checklists.
  • Lab: Ship a landing page in 3 hours; integrate forms → CRM/email tool.
Module 5 — SEO with AI: Research → Content → Technical (9h)
  • Keyword clustering, search intent, topical maps; brief generation.
  • On‑page optimization: titles, meta, headers, internal links, FAQ, schema.
  • Technical: audit prompts (sitemaps, robots, redirects, duplication), Core Web Vitals.
  • Off‑page: digital PR angles; outreach email variants; E‑E‑A‑T considerations.
  • Lab: Publish 2 optimized articles; build schema; run a mini technical audit.
Module 6 — Paid Ads: Google, Meta, TikTok, LinkedIn (9h)
  • AI in ads platforms: asset generation, creative testing, Performance Max/Advantage+ basics.
  • Audience strategies: first‑party data, lookalikes, predictive audiences; privacy‑safe retargeting.
  • Budgeting/bidding: smart bidding guardrails, learning phase management.
  • Lab: Launch 1 search + 1 paid social campaign; 10‑ad creative matrix with AI variants.
Module 7 — Analytics, Reporting & Experimentation (6h)
  • GA4, UTM standards, Looker Studio dashboards; predictive metrics.
  • Experiment design: hypotheses, A/B tests, sample size, stopping rules; AI for analysis.
  • Lab: Build an exec dashboard + weekly insights email automated by AI.
Module 8 — Automation & Integrations (6h)
  • CRM & CDP flows (HubSpot/Salesforce/Segment); webhooks; lead scoring prompts.
  • Automations: Zapier/Make/n8n; spreadsheets + GPT; data hygiene.
  • Lab: Lead capture → enrichment → routing → email/SMS → sales task creation.
Module 9 — Compliance, Governance & Risk (3h)
  • Copyright, trademarks, model licenses, usage rights for generated media.
  • Privacy laws: GDPR/CCPA/India DPDP Act; consent banners; data processing agreements.
  • Internal AI policy: approved tools, redlines, review steps; audit trails & approvals.
Module 10 — Capstone Projects (variable)
  • Option A (B2C): Launch a full funnel for a D2C product (LP, ads, email, analytics).
  • Option B (B2B): SEO content hub + LinkedIn ABM flow + demo booking pipeline.
  • Option C (FSI/Banks): Educational landing + compliant content pack + RM playbook.
  • Option D (Educators): Course microsite, syllabus, grading rubrics, plagiarism policy.
5) Tooling Map (Representative)

Curated Stack

Foundation & Writing

  • General LLMs: ChatGPT, Claude, Gemini, Llama‑based tools.
  • Writing/copy: Jasper, Copy.ai, Notion AI, Grammarly, QuillBot.
  • Research/summarization: Perplexity‑style tools; PDF/chat with docs tools.

Design, Images & Video

  • Images: Midjourney, DALL·E, Adobe Firefly, Canva.
  • Video: Descript, CapCut, Runway, Pika; captioning & subtitling tools.
  • Design systems: Figma (AI), Canva brand kits.

Web & Landing Pages

  • No‑code/site builders: Webflow, Framer, Wix/Editor X with AI.
  • CMS: WordPress + AI plugins (content, schema, image). Static site options.
  • Performance: image/CDN optimizers; accessibility checkers; schema generators.

SEO

  • Keyword & audits: Semrush, Ahrefs, Moz, Screaming Frog.
  • Content optimization: SurferSEO, Clearscope, MarketMuse.
  • Speed & health: PageSpeed Insights, Core Web Vitals tools, Sitebulb.

Ads & Social

  • Google Ads (Performance Max, RSA asset ideas), Meta Advantage+, TikTok Creative Assistant, LinkedIn Campaign Manager.
  • Creative testing: AdCreative.ai, Pencil.
  • Scheduling/repurposing: Buffer, Hootsuite, Later.

Data, Analytics & Experimentation

  • GA4, Looker Studio; Mixpanel/Amplitude for product analytics.
  • A/B testing: Optimizely, VWO (Google Optimize sunset).
  • Heatmaps/feedback: Hotjar, FullStory, Typeform.

Automation & CRM

  • Zapier, Make, n8n; Airtable/Sheets; webhooks.
  • CRM: HubSpot, Salesforce, Zoho; CDP: Segment.
  • Email: Mailchimp, Klaviyo, Brevo; SMS/WhatsApp gateways.

Governance & Compliance

  • Consent & cookie tools; DPA templates; content rights tracking; plagiarism detectors.
6) Implementation Blueprint

Steps to Deploy

  1. Set Objectives & Guardrails: North‑star KPI, budget, data privacy rules, approval flow.
  2. Brand Voice & Style Kit: Tone, vocabulary, compliance clauses, disallowed claims.
  3. Data Wiring: GA4 set‑up, conversions, UTM taxonomy, CRM fields, webhooks, lead attribution.
  4. Content Engine: Pillar topics, posting cadence, prompt libraries, briefing templates.
  5. Website/Landing: AI‑assisted wireframe → page build → copy → assets → QA → launch.
  6. SEO Program: Topical map, content calendar, interlinking plan, technical fixes sprint.
  7. Paid Media: Channel mix, creative matrix, budget guardrails, learning phase plan.
  8. Automation: Lead capture → enrichment → nurture → sales routing → dash
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