Hard prerequisites
None. No prior marketing experience, no design skills, no technical background required.
// FLAGSHIP PROGRAM
AI-Native Digital Marketing
Run a full marketing function, content, SEO, paid, social, analytics, with AI doing the heavy lifting. One person. Professional output.
3 months training · 1 month live campaign project · 4 months total
In-Person
Online
Hybrid
One person. Full marketing function. AI as force multiplier.
A decade ago, running a complete digital marketing function required a team: a content writer, an SEO specialist, a paid media manager, a designer, an analyst. Small businesses could not afford it. Junior marketers could only specialise in one part.
AI has changed this. A single person who knows how to use the right tools, and more importantly, how to direct them with judgment, verify their output, and measure what they produce, can now do the work of that team. Not perfectly. But well enough to be the most valuable person in the room at any agency, D2C brand, startup, or SME marketing team.
This program teaches that skill set. Over three months you move through the complete digital marketing stack: SEO from keyword research through technical audit, content production at scale, paid campaigns on Google and Meta, social media strategy, and analytics that connects everything to business outcomes. AI tools are present throughout, not as shortcuts, but as force multipliers that let you produce more, test faster, and understand better than any manual workflow allows.
The fourth month is your Live Campaign Month. You run a real campaign for a real business, measure the results, and present the outcome to a panel. You leave with proof of work, not just a certificate.
Built for communicators, career switchers, and business owners
This program is designed for:
- Commerce graduates (B.Com, BBA, MBA) who want to enter digital marketing, agency, or brand management roles
- Arts and communications graduates (journalism, English literature, visual communication) who want to apply their communication skills in a high-demand commercial context
- Science graduates who want a non-technical career path with strong job market pull
- Working professionals in sales, operations, or admin who want to move into marketing
- Entrepreneurs and small business owners who want to understand and run their own marketing
This program works particularly well for:
- Students who want to work at Chennai digital agencies, which are among the highest-volume employers of non-engineering graduates in the city
- Students targeting D2C brands, e-commerce companies, EdTech, and SaaS companies that need marketing execution capability
- Anyone who wants to build a credible professional foundation in digital marketing, whether heading into employment, independent consulting, or managing their own business's marketing
No hard prerequisites, clear setup expectations
Soft prerequisites
Good written English. You will produce content throughout this program, and the quality of your writing matters for SEO and campaign performance. Comfort with Google Workspace: Docs, Sheets, Drive.
Setup before day one
Google account, Meta Business Suite account (free), Canva account (free), a WordPress site (we set this up together in week one), Google Search Console and Analytics connected to your site. Full setup guide sent after enrollment. All tools used in this program have free tiers adequate for training.
Phase by phase
Phase 1: Training (3 months)
Seven modules covering the complete digital marketing function. Every module is 30% concept and 70% hands-on execution on real websites, real accounts, and real businesses. You do not watch someone run campaigns. You run them alongside the trainer.
AI tools are present from Module 1 onwards, not as shortcuts, but as production accelerators you learn to direct with judgment. You will use Claude, ChatGPT, Canva AI, and platform-native AI features to research, draft, analyse, and optimise. You will also learn to verify output, catch errors, and rewrite when AI gets it wrong. That discipline is what employers in 2026 are actually hiring for.
Gives you the strategic map before any tool is introduced. Digital marketing is full of tactics. This module teaches you to think in terms of objectives, audiences, and channels, so every tactic you learn in subsequent modules has a reason for existing.
The digital marketing landscape
- How people find, evaluate, and buy things online: the customer journey from awareness to purchase
- The channel map: SEO, paid search, paid social, organic social, content, email, influencer, affiliate, what each does and where it fits in the funnel
- Owned, earned, and paid media: the three categories, how they work together, why you need all three
- How algorithms work: Google search ranking, Meta feed ranking, YouTube recommendation, the principles behind each, why understanding them matters for every decision you make
Strategic foundations
- Defining a target audience: demographics, psychographics, search behaviour, pain points, the difference between "women 18-35" and a genuinely useful audience definition
- Setting objectives and KPIs: awareness vs consideration vs conversion, what to measure for each, why vanity metrics mislead
- The marketing funnel in the Indian context: how Tamil Nadu consumers research and buy, the role of WhatsApp in the purchase journey, regional language considerations
- Competitive analysis: what your competitors are doing across channels, what is working for them, where the gaps are
AI in marketing strategy
- How AI tools are changing marketing: content generation, audience targeting, creative testing, analytics interpretation
- The judgment layer that AI cannot replace: brand voice, cultural sensitivity, audience empathy, ethical boundaries
- The verification discipline: why AI-generated marketing content requires human review before publication, the specific failure modes (hallucinated statistics, cultural missteps, brand inconsistency)
Hands-on
- A full competitive analysis for a real local Tiruvallur or Chennai business: map their digital presence across channels, identify their keyword strategy, assess their content, evaluate their social presence, and produce a one-page brief on where their largest opportunity is
SEO builds long-term organic visibility, traffic that compounds over time without paying for every click. This module teaches SEO completely, from how search engines work through technical optimisation, with AI accelerating every stage of the process.
How search engines work
- Crawling, indexing, ranking: the three stages, what affects each
- Google's ranking signals: the 200+ factors summarised into the few that actually move the needle
- Search intent: informational, navigational, commercial, transactional, matching content to intent
- E-E-A-T: Experience, Expertise, Authoritativeness, Trustworthiness, Google's quality framework and why it matters more in 2026 than ever
Keyword research
- Keyword types: head terms, mid-tail, long-tail, volume vs competition vs intent
- Keyword research methodology: seed keywords, expanding with tools, filtering by intent and difficulty
- Topic clusters and pillar pages: the content architecture that builds topical authority
- Local keyword research: "near me" queries, Tamil Nadu and Chennai-specific search patterns, vernacular search
- Tools in depth: Google Keyword Planner, Ahrefs, SEMrush, Ubersuggest, what each does better
AI for keyword research
- Using Claude and ChatGPT to generate seed keyword lists, identify intent, suggest topic clusters, and map content to funnel stages in minutes rather than hours
- AI-generated keyword briefs: producing a complete content brief from a keyword
- Verification: cross-checking AI keyword suggestions against actual search volume data in Ahrefs or GSC
On-page SEO
- Title tags and meta descriptions: the elements you control, the format that performs, character limits
- Header structure: H1 through H6, how search engines read them, how readers read them
- Keyword placement: natural integration vs keyword stuffing, the density myth
- Internal linking: site architecture, link equity distribution, anchor text
- URL structure: clean, descriptive, hyphenated, the patterns that rank vs the patterns that do not
- Image optimisation: alt text, file naming, compression, next-gen formats (WebP)
- Schema markup: structured data types, how they produce rich results, implementation
- Core Web Vitals: LCP, FID, CLS, what each measures, how to diagnose, how to fix
Technical SEO
- Site speed: the metrics, the tools (PageSpeed Insights, GTmetrix), the fixes (caching, compression, CDN, image optimisation)
- Mobile-first indexing: what it means, how to audit, what breaks mobile rankings
- Crawlability: robots.txt, noindex, canonical tags, redirect chains, 404 management
- XML sitemaps: structure, submission to Google Search Console, dynamic vs static
- HTTPS: why it matters for ranking and trust
- Core Web Vitals in depth: diagnosing issues in Search Console, fixing common problems
- Log file analysis awareness: what server logs tell you that Search Console does not
Off-page SEO
- Backlinks: why they matter, what makes a backlink valuable, domain authority and page authority
- Link building strategies: digital PR, guest posting, resource page link building, broken link building, unlinked brand mentions
- Local SEO: Google Business Profile setup and optimisation, local citations, review management, local pack ranking factors
- Social signals: the indirect SEO value of social presence
- Toxic backlinks: identifying them in Ahrefs, disavow file creation, when to disavow
SEO analytics
- Google Search Console: performance report, index coverage, Core Web Vitals, manual actions, links
- Google Analytics 4: organic traffic, engagement metrics, conversion tracking, channel attribution
- Rank tracking: setting up position monitoring, interpreting movement, separating signal from noise
- SEO reporting: the metrics that matter, the format a client or manager understands, monthly vs quarterly reporting cadence
AI for SEO throughout
- AI-assisted content briefs: taking a keyword and producing a complete brief including title, headers, questions to answer, competitor gaps
- AI for meta tag generation: producing title and description variants for A/B testing
- AI for technical SEO diagnosis: describing a GSC error and getting a plain-language explanation and fix
- AI for link prospecting: generating outreach target lists and personalised outreach email templates
- The boundary: AI cannot replace the quality judgement call, the brand voice decision, or the relationship in link building outreach
Hands-on
- A complete SEO audit of a real local business website
- A 20-keyword research project with full intent mapping
- Two AI-briefed and human-refined content pieces published to a live site
- Technical fixes implemented and verified in GSC
- A local SEO setup for a Tiruvallur-area business including Google Business Profile
Content is the fuel for SEO, social, email, and every other channel. This module teaches you to produce professional-grade content at a speed that was previously impossible without a team, using AI for the heavy lifting and human judgment for quality, accuracy, and voice.
Content strategy
- The content-business alignment: what content objectives serve which business goals
- Content types: blog posts, landing pages, case studies, whitepapers, social posts, email newsletters, video scripts, product descriptions, the format for each goal
- Editorial calendar: planning content production, balancing SEO-driven and audience-driven content, batching for efficiency
- Content distribution: publishing once, distributing everywhere, the repurposing framework
AI-powered content production
- The human-AI content workflow: research, AI draft, human edit, fact-check, publish
- Writing effective content briefs for AI: the input quality determines the output quality
- Voice and style control: training AI to match a brand's tone, building a style guide it can follow
- Long-form content with AI: blog posts, guides, landing pages, maintaining coherence across a long piece
- Short-form content at scale: social captions, ad copy, email subject lines, producing variants for testing
- Product descriptions: e-commerce optimisation with AI, scale without sacrificing quality
- The originality problem: detecting AI-generated content, rewriting for originality and brand voice, avoiding the generic outputs that damage rankings
Content for SEO specifically
- Writing for search intent, not just keywords
- Featured snippet optimisation: the format that wins position zero
- FAQ content: structured to answer People Also Ask questions
- Pillar pages and cluster content: the architecture that builds authority
Fact-checking and verification discipline
- Why AI-generated content contains plausible-but-wrong facts
- Verification workflows: checking every statistic, every claim, every date against a primary source
- Source discipline: citing credible sources, avoiding circular citation from AI-generated content elsewhere
Visual content
- AI image generation for marketing: Canva AI, Adobe Firefly, Midjourney, when to use each, the copyright and originality considerations
- Canva for professional marketing assets: social post templates, presentation decks, ad creatives, infographics, at production speed
- Brand consistency in visuals: colour, typography, layout principles that make a brand recognisable across channels
Hands-on
- A complete content production sprint: produce eight pieces of content in one week using the AI-assisted workflow: two long-form blog posts, two social media content series (five posts each), one email newsletter, one product description page, one FAQ page. All published or scheduled. Quality review of every piece before publication.
Organic reach takes time to build. Paid advertising produces results immediately and gives you data about your audience that no other channel provides. This module teaches Google Ads and Meta Ads at the level a junior media buyer or growth marketer needs, with AI accelerating campaign setup, creative production, and optimisation.
Google Ads
- How Google Ads works: the auction, Quality Score, Ad Rank, what determines your cost per click
- Campaign types: Search, Performance Max, Display, Shopping, YouTube, when each is appropriate
- Search campaigns in depth: keyword match types (broad, phrase, exact), negative keywords, ad groups structure
- Writing search ads: headlines, descriptions, callout extensions, sitelink extensions, the formats that perform
- Smart bidding: Target CPA, Target ROAS, Maximise Conversions, how automated bidding works and when to use it
- Conversion tracking: setting up goals in Google Analytics 4, importing into Google Ads, what to track
- Quality Score improvement: relevance, landing page experience, expected CTR, the levers you control
- Campaign optimisation: search term report, auction insights, bid adjustments, negative keyword harvesting
- Google Ads for local businesses: location targeting, call extensions, local search ads
Meta Ads (Facebook and Instagram)
- The Meta Ads ecosystem: how the algorithm delivers ads, the role of the pixel, how audiences are built
- Campaign objective selection: Awareness, Traffic, Engagement, Leads, Conversions, choosing correctly
- Audience targeting: core audiences, custom audiences (website visitors, customer lists), lookalike audiences
- The Meta Ads structure: campaigns, ad sets, ads, what to control at each level
- Creative formats: single image, carousel, video, collection, Stories, Reels, the format-performance relationship
- Ad copy for Meta: hook, body, CTA, the structure that stops the scroll
- A/B testing: testing one variable at a time, statistical significance, when to stop a test
- Retargeting: building retargeting audiences, the sequence of messages across the funnel
- Budget management: daily vs lifetime budgets, campaign budget optimisation, reading the results
AI in paid advertising
- AI-generated ad copy: producing multiple headline and description variants in minutes, testing them systematically
- AI image generation for ad creatives: Canva AI and Adobe Firefly for ad imagery
- Performance Max: Google's fully AI-driven campaign type, when it works and when to avoid it
- Meta Advantage+: AI-driven audience and placement optimisation, the tradeoffs of ceding control
- AI for performance analysis: using Claude or ChatGPT to interpret campaign data and suggest optimisations
Analytics for paid
- Reading campaign dashboards: the metrics that matter (ROAS, CPA, CTR, Quality Score, Frequency)
- Attribution: last click vs data-driven, why attribution matters for budget decisions
- Reporting to a client or manager: the format, the narrative, the recommendation
Hands-on
- A live Google Ads campaign on a real account (using a small test budget or a client's account under supervision)
- A Meta Ads campaign with two ad sets and creative variants tested
- A full campaign audit of a real account using AI to generate the initial analysis
Social media is where brands build relationships and relevance, not just reach. This module covers organic social strategy across the platforms that matter for the Tamil Nadu and India market, with AI handling the production load and human judgment shaping the strategy.
Platform strategy for India in 2026
- Instagram: the dominant visual platform, Reels as the primary growth lever, the algorithm, the content formats that work
- YouTube: the second search engine, long-form and Shorts, the Indian market, local language content
- LinkedIn: B2B, personal brand, the professional context
- Facebook: still relevant for local businesses, groups, events, the older demographic
- WhatsApp Business: the platform most courses ignore that most Indian SMEs actually use, broadcast lists, catalogues, automated responses, the direct customer relationship
- X (Twitter): niche use cases, when it matters
- What platforms to ignore: why being everywhere poorly is worse than being somewhere well
Content strategy per platform
- Platform-specific content formats: what works on Instagram does not work on LinkedIn
- Posting frequency: the realistic cadence for each platform, quality vs quantity
- Hashtag strategy: research, categorisation, the role of hashtags in 2026 vs 2020
- Community management: responding to comments, handling negative feedback, building engagement
- Influencer and creator collaboration: identifying relevant micro-influencers in Tamil Nadu, outreach, brief writing, performance assessment
AI for social media
- Content calendar generation: producing a month of content ideas with AI in an hour
- Caption writing at scale: producing variants for A/B testing, adapting tone per platform
- AI image generation for social creatives: Canva AI, consistent brand aesthetic at production speed
- Scheduling and analytics tools: Buffer, Hootsuite, Later, AI-assisted scheduling and performance reporting
- Social listening: monitoring brand mentions, competitor activity, trending topics in your niche
Tamil Nadu and Chennai-specific considerations
- Tamil language content: when to use Tamil, when bilingual, the platforms where Tamil content outperforms
- Regional festivals and cultural moments: Pongal, Diwali, local events, the content calendar moments that drive engagement in this market
- Local creator partnerships: the Chennai and Tamil Nadu creator ecosystem, categories, rates
Hands-on
- A complete 30-day social media content calendar for a real local business, produced using AI with human editing, scheduled across two platforms, with engagement tracked and a weekly performance review
Email has the highest ROI of any digital marketing channel and it is owned media. You are not dependent on an algorithm. This module covers email strategy, list building, campaign execution, and automation sequences that run without manual effort.
Email marketing foundations
- Why email still works: the owned channel advantage, deliverability vs social reach
- List building: lead magnets, opt-in forms, landing pages, pop-ups, what converts and what annoys
- Email service providers: Mailchimp, Brevo (Sendinblue), ConvertKit, the right tool for the budget and use case
- Email design: mobile-first, image-to-text ratio, the fold, CTA placement
- Email copy: subject line, preview text, body, CTA, the format that gets opened and clicked
- Segmentation: why one email to everyone underperforms, the segments that matter
- A/B testing in email: subject lines, send time, content, the variables worth testing
Marketing automation
- Welcome sequences: the first five emails a new subscriber receives, the sequence that builds trust
- Abandoned cart sequences: e-commerce recovery, timing, the offer escalation
- Re-engagement campaigns: winning back inactive subscribers, the unsubscribe decision
- Drip campaigns: educational sequences, lead nurturing, the long-form relationship
AI for email
- Subject line generation: producing 20 variants and selecting the strongest three to test
- Email copy drafting: body content with AI, human editing for voice and accuracy
- Personalisation at scale: dynamic content, AI-driven send time optimisation
- AI for segmentation: using data patterns to suggest audience segments
Hands-on
- Build a five-email welcome sequence for a real business
- Set up an abandoned cart automation (simulated)
- Run a campaign A/B test on subject lines with real results
Marketing that cannot be measured cannot be improved. This module teaches the analytics discipline that distinguishes a professional marketer from someone who posts and hopes, connecting every channel to business outcomes and producing reports that lead to decisions.
Google Analytics 4 in depth
- GA4 vs Universal Analytics: the event-based model, what changed
- Events and conversions: setting up goals, the events that matter for your business type
- Reports: acquisition, engagement, monetisation, retention, reading each, acting on each
- Audiences: building segments, the data that informs paid targeting
- Attribution: the models, how GA4 attributes credit, the implications for channel budget decisions
- Custom reports and explorations: building the view that answers your specific question
Cross-channel analytics
- Connecting Google Ads to GA4: the full conversion path
- UTM parameters: tagging every link, maintaining clean attribution, the naming convention
- Social media analytics: platform-native vs third-party tools, what to measure per platform
- Email analytics: open rate, click rate, conversion rate, revenue per email
Reporting
- The monthly marketing report: the format, the narrative, the recommendation
- KPI dashboards: building a live dashboard in Google Looker Studio (free)
- Presenting to a non-marketing audience: the business outcome first, the channel data second, the recommendation specific and actionable
- Client reporting: the format agencies use, the level of detail clients actually want
AI for analytics
- Using Claude and ChatGPT to interpret GA4 data: describe the numbers, ask for hypotheses
- AI-generated report narratives: producing the written summary of a data table
- Anomaly explanation: using AI to generate hypotheses about traffic drops or conversion changes for analyst investigation
- The verification requirement: AI-generated analysis must be checked against the actual data before presenting to a client
Hands-on
- Build a Looker Studio dashboard for a real website connecting GA4 and Google Search Console
- Produce a complete monthly performance report for a real business
- Present findings to the class in a five-minute stakeholder presentation
Live Campaign Month (1 month, mentor-supervised)
Live Campaign Month is not coursework. It is a real campaign for a real business.
You identify a local business (a Tiruvallur shop, a Chennai service provider, a family business, an NGO, a startup) and you run their digital marketing for one month. With their agreement and involvement. Measuring real results.
Week 1 - Audit and plan
Audit the business's current digital presence. Keyword research for their category. Competitive analysis. Set campaign objectives and KPIs. Get the business's sign-off on the plan.
Week 2 - Implement
Content published. SEO changes made. Ad campaigns live (small budget or organic-only if no budget available). Social calendar running. Email campaign sent. Everything tracked.
Week 3 - Optimise
Review week-two performance. Adjust what is not working. Double down on what is. Mid-campaign check-in with mentor: 45 minutes, data reviewed, specific actions assigned.
Week 4 - Report and present
A complete campaign report: what you did, what the results were, what you would do differently, what the business should do next. Presented to a panel of three: your trainer, an external marketing professional, and the business owner or a senior marketing person.
Deliverables
- Documented campaign plan with objectives, KPIs, and channel strategy signed off by the business
- Live content, SEO changes, social calendar, and email or paid campaigns running and tracked
- Mid-campaign optimisation log with mentor-reviewed actions
- Complete campaign report with traffic, engagement, and conversion metrics
What you leave Live Campaign Month with
- A documented real campaign with real results: traffic numbers, engagement data, conversion metrics, whatever moved
- A campaign report you can show in any interview or client meeting
- A case study framed for your portfolio: "I ran digital marketing for [business], achieved [specific result], here is how"
- A panel presentation on record
- A certificate of completion
Tools you will master
SEO
Google Search Console · Google Analytics 4 · Ahrefs · SEMrush · Ubersuggest · Screaming Frog (free version) · Google PageSpeed Insights
Content and design
Canva (including Canva AI) · Adobe Firefly · ChatGPT · Claude · Gemini
Paid advertising
Google Ads · Meta Ads Manager · Google Tag Manager
Social media
Buffer or Later for scheduling · platform-native analytics
Mailchimp or Brevo (free tiers) · Google Looker Studio for dashboards
AI throughout
Claude · ChatGPT · Gemini · Canva AI · Adobe Firefly
All tools have free tiers adequate for training. No paid subscriptions required for the course itself. Live Campaign Month may involve a small ad budget, discussed and agreed with the business, and optional for students who choose organic-only campaigns.
Interview-ready roles and measurable differentiation
Digital Marketing Executive
SEO Executive / SEO Analyst
Content Marketing Executive
Social Media Manager
Performance Marketing Executive (Google and Meta Ads)
Growth Marketing Associate
Digital Marketing Manager (with 1-2 years experience post-program)
Freelance Digital Marketer
What distinguishes our graduates in interviews and client conversations: they have run a real campaign for a real business and can show the results. Traffic numbers, engagement data, ranking movement, conversion metrics, specific, documented, attributable to decisions they made. That is the difference between a candidate who studied marketing and one who practised it.
Companies hiring these profiles from Tamil Nadu: Chennai's digital agency ecosystem (iGenero, Bruce Clay India, Webenza, and hundreds of boutique agencies along the OMR and Anna Nagar corridors). D2C brands based in Chennai: jewellery, fashion, food, healthcare. E-commerce companies. EdTech companies. SaaS companies with marketing teams. Every business with a website needs this skill and most of them are underserved.
What you walk in with vs. what you walk out with
| Walk in with | Walk out with |
|---|---|
| No marketing knowledge | Full-stack digital marketing capability: SEO, content, paid, social, email, analytics |
| No tool experience | Proficient in GSC, GA4, Ahrefs, Canva, Google Ads, Meta Ads, Mailchimp |
| No AI production workflow | AI-assisted content and campaign production with verification discipline |
| No campaign experience | A real campaign with real results, documented and presentable |
| No portfolio | A case study, campaign report, and Looker Studio dashboard ready for interviews |
| No stakeholder presentation practice | A panel presentation on record with trainer, external marketer, and business stakeholder |
| A student of marketing theory | A practitioner who ran live campaigns and can defend every decision with data |
Three delivery modes, one quality standard
In-Person
Tiruvallur campus: daily sessions, live campaign work alongside trainer, peer review of content and campaign decisions. Strongly recommended for Live Campaign Month. Real-time mentor access when a campaign is underperforming makes the difference.
Online
Live instructor-led sessions via Zoom or Google Meet. Screen sharing for tool walkthroughs, shared campaign dashboards, live critique of content. Same curriculum, same Live Campaign Month structure.
Hybrid
In-person for Modules 4 and 7 (paid advertising and analytics, benefit most from real-time screen sharing and immediate questions) and Live Campaign Month reviews. Online for the rest.
All three modes deliver the same curriculum, the same assessments, and the same placement support. No mode is a lesser version of another.
// Enquire
Ready to find out when the next batch starts?
Call us or use the button below. We will call you within 24 hours.
