AI Digital Marketing Course Syllabus (2026): Full Module List

Before you pay for any AI digital marketing course, ask for the syllabus. Not the brochure headline — the actual module list. This article is the syllabus we teach, published in full, so you have a benchmark to compare anything else against.

What a 2026 syllabus must cover

Marketing did not become "AI marketing". Every channel gained an AI layer, and the syllabus has to reflect that: fundamentals first, AI woven into each channel, and measurement underneath all of it.

Four phases:

1. Fundamentals & strategy — what marketing is doing and why
2. Paid advertising — where the money goes
3. AI-led execution — production speed and automation
4. Analytics & career — proof, and getting paid for it

Phase 1: Fundamentals & strategy (weeks 1–2)

Module 1 — Digital marketing foundations Channels and how they fit together, customer journey, funnel stages, positioning, audience research, budget logic, KPIs that matter (CPL, CPA, ROAS, LTV).

Module 2 — AI tools and prompting for marketers ChatGPT, Claude, Gemini and Perplexity in a marketing workflow. Building a brand context file, structured prompting, verifying output, and where AI reliably fails.

Module 3 — Websites and landing pages with AI Building a converting landing page without a developer using AI builders, page structure, offer clarity, mobile-first layout, form design and page speed.

Module 4 — SEO in the AI search era Keyword research, search intent, on-page optimisation, technical basics, schema markup, and structuring content to be quoted by AI Overviews and ChatGPT, not just ranked.

Module 5 — Content marketing with AI Topic clusters, briefs, drafting and editing workflow, repurposing one asset into ten, editorial judgement and the plagiarism and accuracy checks that keep a site safe.

Module 6 — Social media marketing Organic strategy per platform, AI-assisted content calendars, short-form video, community and engagement, and what actually drives business from social.

Phase 2: Paid advertising (weeks 3–5)

Module 7 — Google Ads: Search Account structure, keyword match types, ad groups, responsive search ads, quality score, negative keywords, budget and bidding strategy.

Module 8 — Google Ads: Performance Max, Display & YouTube Asset groups, audience signals, exclusions, creative requirements, video campaign types and when Performance Max helps or hides.

Module 9 — Meta Ads: Facebook & Instagram Campaign objectives, Advantage+ campaigns, creative testing frameworks, pixel and Conversions API, retargeting structures, lead forms.

Module 10 — ChatGPT Ads Manager Advertising inside ChatGPT: sponsored placements, account and campaign setup, conversation intent and audience signals, exclusions and brand safety, budgets and bidding, AI creative development, tracking, reporting and a 30-day launch plan.

Module 11 — Remarketing & funnel campaigns Audience building across platforms, sequential messaging, cart and lead abandonment, frequency control and full-funnel budget splits.

Phase 3: AI-led execution (weeks 5–7)

Module 12 — AI ad copy and creative production Generating and refining headlines, descriptions and hooks; producing image and video creatives at volume; creative testing matrices; brand voice control.

Module 13 — Marketing automation Make.com and Zapier workflows: lead capture to CRM to WhatsApp to follow-up, AI lead scoring and summarisation, internal reporting automations.

Module 14 — Email and WhatsApp marketing List building, segmentation, welcome and nurture sequences, deliverability, AI subject-line testing, and WhatsApp flows for the Indian market.

Phase 4: Analytics & career (weeks 7–8)

Module 15 — GA4, Google Tag Manager & conversion tracking The module most syllabi skip and every employer tests. Event-based measurement, GTM tag setup, conversion values, enhanced conversions, cross-platform attribution, debugging broken tracking.

Module 16 — Reporting, freelancing and career preparation Client reporting with AI summaries, dashboards, proposals and pricing for freelance work, portfolio assembly, resume and LinkedIn, interview preparation for Google Ads, Meta and analytics rounds.

The projects that should come with it

A syllabus without projects is a lecture series. Ours includes six:

1. A live Google Ads Search campaign with tracking
2. A Meta Ads creative test with at least six variations
3. An AI-built landing page with a working lead form
4. An SEO content brief and published article
5. An automated lead-to-WhatsApp workflow
6. A capstone: end-to-end strategy, campaigns, tracking and a client-style report

How to evaluate any course syllabus

Red flags:

• No conversion tracking module. Disqualifying. Everything else depends on it.
• "AI" as one bonus ChatGPT session. It should appear in every module.
• No live ad account work. Screenshots are not practice.
• No portfolio output. You will interview with nothing to show.
• Curriculum not published. If they will not send the module list before payment, that is the answer.

Green flags: named tools per module, real budgets, certification mapping, projects listed, a trainer who still runs campaigns, and published fees.

The live version of this syllabus

Everything above is what we teach on the AI digital marketing course: 16 modules, 4 phases, 8 weeks, live online, Monday to Friday, with ₹6,000 in included credits, session one free, and placement support at the end.

Fees are published rather than "on call" — see AI digital marketing course fees for both payment plans, or compare across the market in our guide to digital marketing course fees in India.