Digital Marketing Course Syllabus: SEO, Ads and Agentic AI (2026)

Rishi Jain teaching students at a Digital Scholar campus

Digital Marketing Course Syllabus: SEO, Ads and Agentic AI (2026)

Explore Digital Scholar's four-month syllabus: SEO, Google Ads, Meta Ads, social media and agentic AI, with four group projects and six DS-issued certificates.
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By Rishi Jain, Digital Scholar · Reviewed 17 September 2026

A useful digital marketing course syllabus connects marketing decisions with practical work. Digital Scholar’s four-month programme covers SEO and answer-engine optimisation, Google Ads, Meta Ads, social media, AI and agentic workflows. Students work on four real group projects in an agency-style learning format.

This is a guide to the approved teaching areas, trainers and certificate requirements, not a fixed promise of hours per topic. The live online digital marketing course has weekday and weekend options; confirm the current timetable and session sequence for your batch.

The teaching areas in the four-month programme

Curriculum overview: topics covered

Curriculum overview: topics covered
Teaching areaTopics and tools
Website and CMS foundationsDomains and hosting, WordPress, Divi, essential website plugins and AI-assisted website building.
SEO, AEO and measurementCrawling and indexing, search intent, on-page content, internal links, technical checks, structured data, local SEO, images, video, authority building, GSC and GA4. Clear answers and evidence for AI-search visibility.
Google AdsCampaign planning and setup, auction understanding, tracking, optimisation, reporting and AI-assisted workflows.
Meta Ads and WhatsAppAlgorithm understanding, objectives, audiences, creative testing, sales campaigns, CAPI, Meta Ads MCP and CLI, data analysis, click-to-WhatsApp campaigns and Wati.
Social media and creative productionInstagram short-form video, carousels, content buckets, shooting and editing foundations.
AI and agentic workflowsPrompt engineering, tokens, context windows and token management; AI tools and image/video models including Higgsfield; building marketing workflows with connected tools.

A tool named in the syllabus is a teaching topic, not a promise of a paid subscription. Swipe Pages access is provided for learning. Hosting, API credits and advertising budgets are student-paid; see the course-fee inclusions and additional costs.

Who teaches SEO, ads, social media and AI?

Trainer responsibilities confirmed by Digital Scholar

Trainer responsibilities confirmed by Digital Scholar
TrainerTeaching responsibility
Rishi JainMeta Ads and AI
Sorav JainSocial media
Karthikeyan Maruthai (Karthik)SEO
Eugene SamuelGoogle Ads

Check the batch timetable for individual sessions. Trainer responsibilities describe the programme’s teaching ownership; they do not imply that every trainer teaches every class.

Rishi Jain teaching students at a Digital Scholar campus
Rishi Jain teaching at a Digital Scholar campus. This photograph illustrates our teaching team, not an online class or a placement outcome.

What should SEO and AEO learning help you understand?

SEO starts with whether a page can be found, understood and indexed. It then connects a searcher’s question to a useful page, supported by clear navigation, credible evidence and sound technical delivery. The curriculum covers keyword intent, content structure, internal links, image optimisation, local presence and relevant authority-building.

AEO and generative-search work adds attention to answer clarity, consistent entity facts and sources an answer engine can reference. It does not replace SEO or establish a special markup shortcut. Students should distinguish a brand mention from a citation, and a tool’s visibility estimate from measured website visits.

When reviewing a syllabus, ask how the course teaches measurement. A report should explain which page changed, which queries it serves and what evidence supports the recommendation. A plugin score or a repeated keyword is not proof that a page will rank.

How agentic AI fits into digital marketing

Prompt engineering is the starting point: providing an objective, context and constraints, then evaluating the output. Token and context-window management help explain why long workflows can lose important information or incur additional costs.

Agentic workflows connect steps across tools, such as preparing content, organising campaign information or analysing performance. The marketing objective still comes first. An automation should have an identifiable input, an expected output and checks before publishing content, contacting people or changing advertising spend.

Questions to ask when inspecting an AI-marketing demonstration

Questions to ask when inspecting an AI-marketing demonstration
QuestionWhat a useful explanation includes
What problem does it solve?A specific marketing task, not merely a list of AI tools.
What data does it use?Approved inputs, permissions and handling of missing or inaccurate data.
What does a human review?Factual claims, creative suitability and decisions that affect publishing or budgets.
How is it tested?Examples of success, failure and recovery, with cost and access controls.

This table is an evaluation guide, not a claim that every listed demonstration is a mandatory assessed deliverable. Ask to see current student work and the brief that produced it.

Four group projects: agency-style learning

Students work on four real projects in groups. The groups operate as student agencies and compete through the programme, bringing planning, execution and presentation into the learning experience. This is group-based work, not a promise that every student receives four separate personal clients.

When discussing a group project in an interview, separate the team’s result from your own contribution. Explain the brief, what you handled, the tools you used, what changed after feedback and what the evidence can actually establish. If client information is private, obtain permission before including it in a portfolio.

A practical project record can contain the brief, a deliverable or demonstration, a decision log and an honest reflection. These are suggestions for making your work inspectable, not additional certification rules.

Six certificates, issued by Digital Scholar

Students who meet the requirements receive these six Digital Scholar-issued certificates, all included in the ₹69,999 course fee with no separate certificate payment:

  • AI Expert
  • Social Media
  • SEO
  • Meta Ads
  • Google Ads
  • Digital Marketing and AI Course Completion Certificate

Certification eligibility

Certification eligibility
RequirementConfirmed rule
AttendanceAt least 75%
Assignments and assessmentsMandatory assignments and module-specific examinations
ProjectsAll four group projects are mandatory
Passing scoreMinimum 60%

Attendance alone is not enough. Students must complete the assessments and meet the examination requirements. Digital Scholar provides preparation for separate third-party examinations; external organisations issue their own credentials. A DS Google Ads or Meta Ads module certificate is not a certificate issued by Google or Meta.

Certification preparation materials remain accessible for one year. This duration should not be assumed to apply to every tool or all programme recordings.

Learning support, fees and career preparation

Doubt-clearing sessions usually take place during the week. Recordings are provided after the programme; confirm the release schedule and access duration with admissions. The total fee is ₹59,321.19 + ₹10,677.81 GST (18%) = ₹69,999.

Placement assistance has its own eligibility conditions, separate from certification. For full-time support, students need a completed undergraduate degree, at least 80% coursework completion including projects and assignments, and passes in four of five papers. Support is available for up to three months after completion. See the placement-assistance process and eligibility for details, rather than treating a certificate as a job guarantee.

Syllabus and certification questions

Is agentic AI included alongside traditional digital marketing?

Yes. AI and agentic workflows sit alongside SEO, Google Ads, Meta Ads and social media. The aim is to connect tools to marketing tasks, not replace the fundamentals with tool names.

How many projects are included?

Four real group projects, completed in an agency-style learning format. These are group projects rather than four individual client engagements for every student.

How many certificates does the programme include?

The programme includes six Digital Scholar-issued certificates. Preparation for external examinations is a separate activity and does not increase that included certificate count.

Rishi Jain

Rishi Jain

Rishi Jain is the Co-Founder & CEO of Digital Scholar, a TEDx speaker, and one of India’s leading AI Marketing coaches. From starting as a programmer at Infosys to revolutionizing digital education, Rishi co-founded Digital Scholar, India’s first agency-style digital marketing institute, at just 24. His mission is to make digital education practical, fun, and future-ready. Through Digital Scholar, Rishi has trained over 100,000 students, professionals, and entrepreneurs across India and the UAE. Recognized as a top AI corporate trainer, mentor, and digital marketing coach, Rishi has led companies to spend over $30M in ads, built high-performance funnels, and helped entrepreneurs launch scalable systems.

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