6-Month Program · 2026 Curriculum
Digital Marketing Pro Track
80 in-depth modules · 100 AI & marketing tools · 420+ hours of training · live projects · a 3-month internship and a portfolio-ready capstone. Built for people who want a career in digital marketing, not just a certificate.
What's new in the 2026 curriculum
Expanded from 50 to 80 modules. AI is no longer a single module — research, prompting, agents, SEO/GEO, paid media, social, CRM, analytics, creative and automation now run through the whole program, backed by 100 named AI & marketing tools.
Adds modern AEO/GEO/AIO AI-search visibility, first-party data & privacy, experimentation, attribution, e-commerce, CRM and agency operations — plus a stronger project / internship / portfolio layer so you graduate with evidence of execution, not just a certificate.
1Program structure
Six phases, ordered so each block of skills builds on the last — from strategy and measurement foundations through to a placement-ready capstone.
| Phase | Modules | Focus |
|---|---|---|
| Phase 1 — Foundation | 01–16 | Strategy, research, brand, web, analytics and measurement |
| Phase 2 — SEO & Content | 17–26 | SEO, content, AEO/GEO/AIO and AI content operations |
| Phase 3 — Social & Paid Media | 27–45 | Social, Google/Meta/LinkedIn ads, remarketing, leads, CRO and funnels |
| Phase 4 — Lifecycle & Commerce | 46–57 | Email, CRM, WhatsApp, e-commerce, marketplaces, affiliate, influencer and creative |
| Phase 5 — AI-Native Marketing | 58–72 | Generative AI, agents, automation, analytics, attribution and economics |
| Phase 6 — Professional & Capstone | 73–80 | Compliance, agency operations, freelancing, strategy, projects, internship and placement |
2Full 80-module curriculum
Tap a phase to expand it, then tap any module for what it covers. Every module ends in a brief, a hands-on task, a checklist and measurable KPI/QA evidence — not just a video to watch.
Phase 1 Foundation Modules 01–16 Strategy, research, brand, web, analytics and measurement +
01 Digital Marketing Foundations +
Digital marketing ecosystem, customer journey, channels, owned/earned/paid media, traditional vs digital, funnel stages, campaign objectives, terminology, attribution basics, ethics and privacy.
02 Marketing Strategy & Positioning +
Business goals to marketing goals, STP, value proposition, positioning statement, USP/UVP, channel selection, growth loops, strategic briefs and campaign hypotheses.
03 Customer Research & Personas +
Primary/secondary research, interviews, surveys, review mining, pain points, jobs-to-be-done, ICP, personas, buying committees and research synthesis.
04 Market & Competitor Intelligence +
TAM/SAM/SOM, competitor mapping, SWOT, offer analysis, share-of-voice, ad-library research, traffic/channel comparison and opportunity-gap analysis.
05 Brand Strategy & Brand Voice +
Brand identity, tone, messaging pillars, visual consistency, brand voice guides, differentiation, trust signals and AI-assisted brand governance.
06 Marketing Psychology & Copywriting +
Attention, motivation, objections, social proof, loss aversion, benefits vs features, hooks, headlines, CTAs, persuasion frameworks and ethical conversion copy.
07 Content Strategy & Editorial Systems +
Content pillars, formats, audience-to-content mapping, calendars, repurposing, topical authority, distribution systems and content operations.
08 Website Planning & Information Architecture +
Website objectives, sitemap, navigation, user flows, wireframes, landing-page architecture, trust elements, mobile-first thinking and conversion paths.
09 WordPress Website Development +
Domain/hosting concepts, WordPress setup, themes, plugins, pages, menus, forms, security basics, backups and deployment checklist.
10 HTML/CSS for Marketers +
HTML structure, semantic elements, CSS selectors, box model, responsive basics, forms, metadata, accessibility and practical troubleshooting.
11 Elementor & No-Code Landing Pages +
Elementor workflow, sections/containers, responsive design, reusable blocks, forms, CTA placement, speed considerations and landing-page QA.
12 Analytics Architecture & Measurement Plan +
Measurement objectives, KPI trees, events, conversions, naming conventions, UTM governance, dashboards, data quality and measurement documentation.
13 GA4 Deep Dive +
Properties, data streams, events, key events, audiences, explorations, acquisition, engagement, attribution views, reports and practical analysis.
14 Google Tag Manager +
Containers, tags, triggers, variables, data layer concepts, GA4/Meta tags, testing, debugging, consent-aware implementation and publishing workflow.
15 Google Search Console +
Property verification, indexing, queries, pages, CTR, coverage, sitemap, Core Web Vitals, manual actions, troubleshooting and SEO reporting.
16 SEO Fundamentals +
Search intent, crawling, indexing, ranking concepts, on-page SEO, technical foundations, internal linking, E-E-A-T concepts and SEO workflow.
Phase 2 SEO & Content Modules 17–26 SEO, content, AEO/GEO/AIO and AI content operations +
17 Keyword Research & Search Intent +
Seed keywords, modifiers, intent classification, clustering, difficulty/value, SERP analysis, keyword maps and content prioritization.
18 Technical SEO +
Crawlability, robots.txt, XML sitemaps, canonicals, redirects, status codes, duplicate content, pagination, JavaScript SEO and technical audits.
19 On-Page SEO & Content Optimization +
Titles, headings, URLs, internal links, entities, topical coverage, image SEO, snippets, content refreshes and optimization checklists.
20 Off-Page SEO & Digital PR +
Backlink quality, link gap analysis, digital PR, outreach, citations, brand mentions, relationship building, risk controls and reporting.
21 Local SEO & Google Business Profile +
Local intent, GBP optimization, categories, services, reviews, citations, local landing pages, map visibility and local reporting.
22 E-commerce SEO +
Product/category architecture, faceted navigation, product schema, merchant feeds, internal linking, reviews, filters, indexation and SEO for Shopify/WooCommerce.
23 SEO, AEO, GEO & AIO — The Complete Search-Visibility Stack +
The four layers of modern discoverability, taught side by side so you know exactly which one you're optimizing for and why — classic blue-link SEO, answer-box AEO, chatbot-native GEO and Google AI Overview AIO.
SEO Search Engine Optimization
Ranking in classic organic results (Google, Bing) so a page earns the click.
- Search-intent mapping across informational, navigational, commercial and transactional queries
- Technical crawlability — robots.txt, XML sitemaps, canonicals, redirect chains, log-file analysis
- Core Web Vitals & page experience — LCP, INP, CLS and mobile-first indexing
- On-page optimization — titles, meta descriptions, header hierarchy, internal linking, topical clusters
- Structured data / schema — FAQ, HowTo, Product, Article, LocalBusiness and Review markup
- E-E-A-T signals — author bios, credentials, citations and trust pages
- Off-page authority — backlink quality audits, digital PR, competitor gap analysis
- Local SEO — Google Business Profile, NAP consistency, local citations, geo landing pages
- Content decay tracking, historical optimization and keyword-cannibalization fixes
- Reporting — GSC query analysis, ranking distribution, organic traffic/revenue attribution
AEO Answer Engine Optimization
Winning featured snippets, People Also Ask and voice-assistant answers (Google Assistant, Siri, Alexa).
- Structuring content in direct Q&A format that mirrors real user queries
- Featured-snippet targeting — paragraph, list and table snippet formatting
- Concise, front-loaded 40–60 word "answer boxes" followed by supporting depth
- FAQ schema and speakable schema for voice-assistant eligibility
- People Also Ask (PAA) mining and systematic content gap-filling
- Semantic clarity — entity-first sentences, unambiguous subject-verb-object structure
- Conversational, long-tail phrasing for voice queries and "near me" local answers
- Answer freshness signals — dated updates and versioned FAQ content
- Cross-referencing authoritative sources inside answers to build citation credibility
- Live-testing answers on Google Assistant / Siri / Alexa and iterating on phrasing
GEO Generative Engine Optimization
Getting cited and recommended inside AI chat answers — ChatGPT, Perplexity, Gemini, Claude.
- Writing citation-worthy content — clear facts, statistics and unique data points LLMs can extract
- Entity clarity and structured knowledge — consistent naming and disambiguation site-wide
- Building topical authority through interlinked content clusters and pillar pages
- Earning third-party mentions on high-authority sites and forums that AI models cite
- Optimizing for retrieval-augmented generation (RAG) — clean, chunkable sections with clear headers
- Managing AI-crawler access — llms.txt and allowing GPTBot / PerplexityBot / ClaudeBot / Google-Extended
- Monitoring brand mentions and share-of-voice inside AI-generated answers via prompt audits
- Structured comparison content — tables and pros/cons blocks that generative engines favor
- First-party data, original research and case studies as differentiated "citable" assets
- Tracking GEO visibility with manual prompt testing plus emerging AI-visibility tools
AIO AI Overview / AI-Inclusion Optimization
Earning a citation inside Google's AI Overviews and other on-SERP AI summary boxes.
- Structuring pages to directly answer the core query within the first 100 words
- Clear, scannable formatting — bullets, tables and numbered steps that summarizers lift cleanly
- Strong topical depth and breadth so a page is trusted as a synthesis source across sub-questions
- FAQ / HowTo schema that increases eligibility for AI Overview inclusion
- Brand and entity consistency across Knowledge Graph, Wikipedia/Wikidata and owned properties
- Monitoring AI Overview appearance and citations for target queries, then iterating content
- Zero-click SERP strategy — capturing brand value even when AI Overviews reduce click-through
- Multi-format inputs — video transcripts, image alt-text and structured tables for AI summarization
- Recurring content audits against evolving AI Overview trigger patterns
- A "cite me" content strategy — original data, expert quotes and clear authorship AI can attribute
40 execution points across all four layers, taught as one connected workflow — not four separate courses.
24 SEO Auditing & SEO Reporting +
Technical/content/backlink audits, prioritization by impact, audit templates, executive reporting, issue tracking and before/after measurement.
25 Blogging & Editorial SEO +
Blog setup, briefs, outlines, SERP-informed writing, expert inputs, editorial QA, updating old posts, guest content and editorial calendars.
26 Content Production with AI +
Research-to-brief workflows, prompt design, fact checking, human editing, brand voice, originality, content QA and responsible AI use.
Phase 3 Social & Paid Media Modules 27–45 Social, Google/Meta/LinkedIn ads, remarketing, leads, CRO and funnels +
27 Social Media Strategy +
Platform roles, audience/channel fit, organic strategy, content pillars, calendars, community management, social listening and performance review.
28 Instagram Marketing +
Profile optimization, Reels, carousels, Stories, hooks, captions, hashtags/keywords, collaborations, community and analytics.
29 Facebook Marketing +
Page strategy, community, content formats, groups, events, organic reach, Meta ecosystem and content measurement.
30 LinkedIn Marketing +
Profile positioning, company pages, thought leadership, B2B content, employee advocacy, lead generation, newsletters and analytics.
31 YouTube Marketing +
Channel strategy, audience research, titles, thumbnails, scripts, retention, Shorts, playlists, SEO, analytics and monetization concepts.
32 Short-Form Video Marketing +
Reels/Shorts/TikTok-style creative systems, hooks, retention, scripting, shot lists, editing workflows, trends, testing and repurposing.
33 Pinterest & Visual Search Marketing +
Boards, keywords, pin design, product discovery, evergreen traffic, analytics and visual-search content systems.
34 X / Community & Conversation Marketing +
Profile strategy, threads, replies, community building, social listening, content formats, brand safety and analytics.
35 Google Ads Fundamentals +
Account structure, campaign goals, Search campaigns, keywords, match types, negative keywords, ads, assets, budgets and bidding.
36 Google Search Ads Advanced +
RSA strategy, intent segmentation, query mining, bidding, experiments, conversion quality, Performance Max interaction and optimization.
37 Google Performance Max & Demand Gen +
Asset groups, audience signals, creative testing, feed quality, search themes, reporting, incrementality considerations and optimization.
38 Google Display & YouTube Ads +
Display targeting, responsive creatives, remarketing, YouTube formats, audiences, frequency, placements, video objectives and measurement.
39 Meta Ads Fundamentals +
Business Manager, ad account structure, objectives, audiences, placements, creative formats, budgets, events and campaign QA.
40 Meta Ads Advanced & Advantage+ +
Full-funnel structures, Advantage+ capabilities, creative diversification, audience signals, attribution, testing and scaling.
41 LinkedIn Ads & B2B Paid Media +
Objectives, lead-gen forms, targeting, matched audiences, account-based marketing, creative, bidding, reporting and lead quality.
42 Remarketing & Audience Architecture +
First-party audiences, website visitors, engagement audiences, customer lists, exclusions, sequencing, frequency and privacy-aware targeting.
43 Lead Generation Systems +
Lead magnets, landing pages, forms, qualification, lead scoring, routing, CRM handoff, nurture and lead-quality measurement.
44 Conversion Rate Optimization +
Funnel diagnosis, friction, value proposition, forms, CTA testing, heatmaps, session analysis, A/B tests and experiment documentation.
45 Funnel Building & Offer Architecture +
Awareness-to-purchase journeys, lead magnets, tripwires, nurture, webinar funnels, service funnels, e-commerce funnels and offer testing.
Phase 4 Lifecycle & Commerce Modules 46–57 Email, CRM, WhatsApp, e-commerce, marketplaces, affiliate, influencer and creative +
46 Email Marketing Fundamentals +
List building, segmentation, deliverability, consent, campaign types, subject lines, templates, personalization and reporting.
47 Email Automation & Lifecycle Marketing +
Welcome, nurture, abandoned cart, post-purchase, reactivation, lead scoring, branching workflows, personalization and lifecycle KPIs.
48 WhatsApp & Conversational Marketing +
WhatsApp Business, opt-in, templates, broadcasts, conversational funnels, customer support, automation concepts and compliance.
49 CRM & Marketing Automation +
CRM stages, contact properties, lead routing, scoring, pipelines, automation, lifecycle stages, reporting and sales-marketing alignment.
50 HubSpot / CRM Operations +
Contacts, lists, forms, workflows, campaigns, dashboards, lead handoff, attribution concepts and practical CRM administration.
51 E-commerce Marketing — Shopify +
Store structure, collections, product pages, merchandising, pixels, analytics, offers, CRO, retention and marketing integrations.
52 Amazon & Marketplace Marketing +
Marketplace fundamentals, listings, keywords, Sponsored Products/Brands concepts, reviews, promotions, catalog health and performance metrics.
53 Google Shopping & Merchant Center +
Product feeds, titles, attributes, diagnostics, free listings, Shopping campaigns, Performance Max feeds and feed optimization.
54 Affiliate Marketing +
Affiliate models, networks, tracking, commission structures, recruitment, content affiliates, coupon policies, compliance and ROI.
55 Influencer Marketing +
Creator discovery, briefs, negotiations, usage rights, whitelisting concepts, campaign tracking, UGC and ROI evaluation.
56 Video Production for Marketers +
Storyboards, scripts, B-roll, editing, subtitles, aspect ratios, sound, thumbnails, production workflows and content repurposing.
57 Graphic Design for Marketing +
Composition, typography, hierarchy, grids, brand systems, ad creatives, social templates, presentations and accessibility.
Phase 5 AI-Native Marketing Modules 58–72 Generative AI, agents, automation, analytics, attribution and economics +
58 AI Image & Creative Production +
Prompting for images, product creatives, backgrounds, variations, brand consistency, image editing, rights awareness and creative QA.
59 AI Video, Avatar & Voice Workflows +
AI video generation, avatars, dubbing, voiceovers, localization, short ads, explainers, editing and disclosure/rights considerations.
60 Marketing Research with AI +
AI-assisted web research, source verification, synthesis, competitor intelligence, survey analysis, research prompts and evidence tracking.
61 Prompt Engineering for Marketers +
Role/task/context/constraints, examples, structured outputs, prompt chains, critique loops, reusable prompt libraries and evaluation.
62 AI Agents & Workflow Design +
Agent concepts, task decomposition, tool use, approvals, guardrails, human-in-the-loop workflows, automation maps and evaluation.
63 AI SEO & AI Content Operations +
AI briefs, topical maps, content refreshes, entity optimization, AI-search monitoring, human QA, hallucination controls and editorial governance.
64 AI-Powered Paid Advertising +
AI-assisted creative variants, audience insights, automated bidding concepts, creative analysis, campaign diagnostics and human decision checkpoints.
65 AI Social Media Operations +
Content ideation, calendar generation, repurposing, social listening, comment triage, creative variants, scheduling and reporting.
66 AI Email & CRM Personalization +
Segment ideas, subject-line variants, lifecycle copy, lead scoring support, personalization, churn signals and campaign QA.
67 AI Analytics & Marketing Intelligence +
Natural-language analysis, anomaly detection, dashboard summaries, forecasting concepts, attribution interpretation and decision memos.
68 No-Code Automation with Zapier & Make +
Triggers/actions, filters, paths, webhooks concepts, CRM/email/social integrations, error handling and workflow documentation.
69 Data & Spreadsheet Skills for Marketers +
Excel/Google Sheets, formulas, pivots, cleaning, lookup functions, cohort tables, campaign analysis and data visualization.
70 Looker Studio & Executive Dashboards +
Data sources, calculated fields, dashboard design, KPI views, filters, blended data concepts and stakeholder reporting.
71 Marketing Attribution & Experimentation +
Last-click vs multi-touch concepts, incrementality, holdouts, experiments, lift, CAC, LTV and decision-making under imperfect data.
72 Performance Marketing Economics +
CPC, CPM, CTR, CVR, CPA/CPL, ROAS, MER, CAC, LTV, payback period, contribution margin and budget allocation.
Phase 6 Professional & Capstone Modules 73–80 Compliance, agency operations, freelancing, strategy, projects, internship and placement +
73 Compliance, Privacy & Brand Safety +
Consent, cookies, data minimization, platform policies, copyright, disclosures, influencer rules, spam prevention, security and ethical AI.
74 Online Reputation Management & Crisis Response +
Review management, social listening, response playbooks, escalation, misinformation handling, crisis communication and reputation reporting.
75 Agency Operations & Client Management +
Briefs, scopes, timelines, approvals, meetings, reports, change requests, documentation, client communication and retention.
76 Freelancing & Personal Branding +
Portfolio, positioning, LinkedIn, outreach, proposals, pricing, discovery calls, contracts, onboarding, testimonials and repeat business.
77 Campaign Planning & Integrated 360° Strategy +
Objectives, audience, offer, channel mix, creative strategy, media plan, budget, measurement, calendar, risk plan and presentation.
78 Live Projects & Portfolio Development +
Build 6–10 portfolio projects across SEO, paid media, social, email, e-commerce, analytics and AI workflows with briefs, screenshots and reports.
79 Internship, Client Delivery & Work Simulation +
Agency-style workflow, live/simulated client tasks, weekly reporting, QA, stakeholder feedback, deadlines, revisions and professional documentation.
80 Capstone, Placement & Career Readiness +
360° capstone campaign, portfolio defense, resume/LinkedIn, case-study storytelling, mock interviews, practical test preparation, freelancing and 30/60/90-day career plan.
3100 AI & marketing tools
Tool count is exactly 100, across 10 categories. Availability, pricing and features change constantly — the program teaches the underlying workflow and decision criteria, not dependence on a single vendor. Swipe or use the arrows to browse every category.
Research, ideation, prompting and rapid drafting across every marketing function.
Long-form copy, ad variations, editing and originality checks at scale.
Social creatives, ad banners, brand assets and rapid design iteration.
Product shots, UGC-style clips and photo-real generative visuals.
Short-form editing, voiceovers, podcasts and meeting-to-content workflows.
Keyword research, technical audits, content scoring and rank tracking.
Measurement, tagging, behaviour analytics and lifecycle intelligence.
Smart bidding, creative generation and cross-channel ad automation.
No-code workflows connecting every tool in the stack together.
Storefront AI, lifecycle email and conversational commerce.
4The AI tool learning framework
Every AI tool in the program is taught through the same six-step lens, so the skill transfers even after any individual tool changes.
Research
Compare AI answers, verify claims, capture sources and distinguish facts from generated suggestions.
Prompting
Build reusable prompts with role, context, inputs, constraints, examples, output format and evaluation criteria.
Production
Use AI for drafts and variations, then apply human editing, brand checks, factual checks and originality review.
Automation
Connect AI to forms, CRM, email, sheets, dashboards and content workflows with approval gates.
Measurement
Compare time saved, quality, conversion impact, error rate and cost before/after AI adoption.
Governance
Protect confidential data, respect copyright/licensing, disclose synthetic media where appropriate and keep humans accountable for decisions.
5Projects & portfolio
Ten portfolio projects across the full stack — real briefs, real screenshots, real reports.
- Project 1. Website + measurement plan
- Project 2. SEO audit + keyword map + content brief
- Project 3. Local SEO / Google Business Profile strategy
- Project 4. Google Search Ads campaign plan and optimization report
- Project 5. Meta Ads full-funnel campaign and creative test matrix
- Project 6. Instagram/LinkedIn/YouTube content system
- Project 7. Email automation + CRM lifecycle workflow
- Project 8. E-commerce growth plan (Shopify/Google Shopping/Amazon)
- Project 9. AI-native marketing workflow: research → content → creative → automation → reporting
- Project 10. 360° capstone campaign with dashboard, budget, KPIs, experiments and client-style presentation
6Assessment & internship
Weekly practical assignments and tool-based assessments, with a monthly campaign/project review and documented feedback.
3-month internship / work simulation: briefs → execution → QA → reporting → revision → client presentation — plus 6–10 documented portfolio case studies with objectives, execution, screenshots, KPIs and learnings.
Final capstone defense and a placement-oriented practical test, backed by our 100% Placement Assist program.
7Quick answers
How is the Pro Track different from a generic digital marketing course?
Most courses teach platforms one at a time and treat AI as an add-on module. This program integrates AI — research, prompting, agents, content, ads, analytics and automation — through all 80 modules, and every module ends in a graded, evidence-based output rather than a video watched passively.
Do I need any prior marketing or technical background?
No. Phase 1 starts from strategy and platform fundamentals with no assumed background. By Phase 5 (AI-Native Marketing) you're working with agents and automation workflows, but the earlier modules build up to that step by step.
What does the 3-month internship actually involve?
Agency-style workflow on live or simulated client accounts — briefs, execution, QA, weekly reporting, stakeholder feedback, deadlines and revisions — documented into your portfolio and reflected in a formal internship certificate.
Will I actually use all 100 tools?
You'll get hands-on exposure across all ten tool categories through project work; not every learner touches every single one of the 100. The emphasis is the six-step AI tool learning framework (research, prompting, production, automation, measurement, governance) so you can pick up any new tool quickly — tools change, the workflow doesn't.
Are classes online, offline, or both?
Both. Offline batches run at our Alpha-1, Greater Noida campus; online live batches run on the same curriculum with the same trainers. Morning, evening and weekend batch timings are available — ask your counsellor for the current schedule.
What happens after I complete the program?
You defend a 360° capstone campaign, complete a placement-oriented practical test, and get support from our 100% Placement Assist program — resume and portfolio review, referrals and interview preparation.
Ready to see a module live?
Book a free, no-obligation demo class and sit in on a real session before you decide anything.
