Best Digital Marketing Course in Bangalore — for the AI Search Era

Build the operator mental model. India's ₹49,000 Cr digital ad market funnels through 5 channels — SEO, paid, social, content, email — but the buyer journey now branches through ChatGPT, Perplexity and Google AI Overviews before a single ad impression. You will not understand attribution in 2026 unless you understand discovery in the AI-answer layer.

• India digital advertising market structure — who spends, on what, and the ₹49,000 Cr breakdown by channel
• Buyer journey in the AI-answer era — Google → ChatGPT → Perplexity discovery paths
• The 5-channel mix refreshed for 2026: SEO + Paid + Social + Content + Email — and where AEO fits
• Setting up the professional stack: Google account, GA4, Search Console, GBP, GTM, Meta Business, LinkedIn Campaign Manager
• KPI literacy — sessions, conversions, CAC, LTV, ROAS, contribution margin
• The honest economics of agency vs in-house vs freelance digital marketing in India

Build a complete measurement stack on a real domain you own (or a sandbox we provide). GA4 + GSC + GTM + GBP all wired and reporting. Verify with a Slack alert on first conversion.

Audit a real Indian D2C brand site. Identify 5 KPI gaps and the technical reason each gap exists. Output: 6-page Looker Studio dashboard plus 2-page exec summary.

Traditional SEO still drives roughly 40% of high-intent commercial traffic in India. But Google AI Overviews now appear on 60%+ of informational queries, and when they appear, organic CTR drops by 61%. The 2026 SEO specialist optimises for ranking AND for position-zero AND for AI Overview citation — these are three different jobs that share a foundation.

• Keyword research with AI-assisted tools — Keyword Planner, Ahrefs free, Glimpse, AlsoAsked, Search Console mining
• On-page SEO 2026: title, meta, H-structure, internal links, schema, semantic clustering
• Technical SEO + Core Web Vitals — Lighthouse audit, INP, LCP, CLS remediation
• Backlinks in 2026: digital PR, Connectively (formerly HARO), podcast circuits, expert quote distribution
• Featured snippets + People Also Ask — engineering the position-zero answer
• Google AI Overviews — when they trigger, how to be cited, the citation-extraction patterns
• Local SEO + Google Business Profile mastery for India service businesses
• Schema.org — Article, Product, Service, LocalBusiness, FAQ, HowTo, Speakable

Run a full technical audit on a real client site. Document 50+ issues across content, technical, and backlink dimensions. Build a prioritised 90-day SEO plan.

Pick a real Indian brand. Ship a content brief that targets a featured snippet AND an AI Overview citation on a head term. Track outcomes for 6 weeks.

Every other digital marketing course in India treats AEO as a 90-minute bonus module. We treat it as a 4-week core competency because the founder of Networkers Home is also the founder of AEONITI.com — India's first AEO observability platform tracking brand citations across Claude, GPT-4o, Perplexity, Gemini, Grok, DeepSeek. You will spend more time inside a working AEO dashboard than any other DM cohort in the country.

• The answer-engine landscape: how Claude, GPT-4o, Perplexity, Gemini, Grok, DeepSeek discover and cite content
• AEONITI dashboard mastery — onboarding a domain in 90 seconds, reading citation scoring, frequency, sentiment, share-of-voice
• AEONITI recommendations engine — turning alerts into a content backlog
• Schema.org for AEO: Article + FAQ + HowTo + Speakable + Organization + Person entity grounding
• llms.txt protocol — the file every modern brand site needs
• robots.txt for AI bots — the 20+ bots to allow and why (GPTBot, ClaudeBot, PerplexityBot, etc.)
• Atomic-answer paragraph engineering — the 40-90 word citation-ready snippet
• Entity-rich phrasing — naming brands, certs, salary numbers, cities AI extracts
• Off-site authority for AEO — GitHub, Wikipedia, Reddit, LinkedIn long-form

Each student receives a 6-month AEONITI Studio account (real platform, real data). Audit 3 brands of your choice over weeks 9-12. Track citation share, mention sentiment, competitor delta.

Live AEONITI audit on a real Indian brand. Deliver: 12-page report covering citation health across 6 AI engines, prioritised content + schema + llms.txt + off-site recommendations, and a 90-day measurement plan.

In 2026, the digital marketer who can write a 40-line Python script to scrape SERPs, hit the ChatGPT API for content gap analysis, and pipe results into a Google Sheet has a permanent salary premium over the one who cannot. This is not a software engineering module — it is the minimum coding fluency that separates a ₹6 LPA executive from a ₹12 LPA specialist. We assume zero prior coding experience.

• Python fundamentals for marketers — variables, lists, dicts, functions, conditionals, loops — in the context of SEO data
• Reading SEO data: pandas for keyword files, GSC exports, GA4 exports, backlink CSVs
• Hitting APIs from Python: requests library, authentication, rate limits, error handling
• OpenAI API + Anthropic API + Perplexity API — content brief generation, intent clustering, AI-Overview-ready paragraph drafting
• LangChain basics — chaining prompts, retrieval-augmented generation for content research
• Building a keyword-cluster tool — input a seed term, output 50 semantically grouped long-tails with intent labels
• Building an AI Overview citation checker — script that hits ChatGPT + Perplexity + Gemini and reports whether a brand is mentioned for a given query
• Google Apps Script for non-coders — automated GA4 → Slack alerts, GSC → Google Sheets reports, GBP review-monitoring
• n8n / Make / Zapier — visual automation when code is overkill
• Prompt engineering for SEO + AEO production workflows — repeatable templates that survive model upgrades

Two graded coding projects shipped to GitHub. Each student leaves with a public repository that hiring managers actually read.

Project A — Keyword Cluster Engine: Python script that takes a seed keyword, hits the OpenAI API plus a SERP tool, and outputs 50 long-tails grouped into 5-8 intent clusters with example AI-Overview answers. Project B — Citation Watchtower: a Python script that audits a domain against ChatGPT, Claude, Perplexity, and Gemini for a target query list and writes a structured Google Sheet report. Both projects are real, working, and shippable to GitHub before week 16.

Paid acquisition pays the bills at every Indian D2C, SaaS, and startup. In 2026, Google Performance Max and Meta Advantage+ Shopping are agentic — the human is the strategist, not the bid-tuner. The premium goes to the marketer who can read attribution noise, defend creative judgment under pressure, and design experiments that converge in 14 days instead of 90.

• Google Ads — Search, Performance Max, YouTube, Demand Gen — campaign types and when to choose each
• Meta Ads — Facebook + Instagram Advantage+ Shopping, Reels-first creative, audience signal vs lookalike
• LinkedIn Ads for India B2B — sponsored content, lead-gen forms, ABM
• Conversion tracking — GA4 + Meta Conversion API + offline conversions + UTM hygiene
• Smart Bidding math — tCPA vs tROAS vs max-conversion — when bidding agents fail
• Creative testing at scale — AI-generated variants, lift testing, holdout design
• Attribution windows + Marketing Mix Modelling intro
• ₹2,000 live-spend lab campaigns — real budget, real Google + Meta accounts, real outcomes

Each student receives ₹2,000 live ad budget. Run a real campaign on Google Ads OR Meta Ads against your own portfolio, NH cohort website, or an assigned client brand. Track ROAS for 4 weeks.

Performance marketing capstone — design + ship + measure a 14-day paid campaign. Deliverable: campaign brief, creative, budget plan, daily-log diary, post-mortem with cohort-attribution math. Top 3 cohort campaigns get presented to NH founder + 2 external mentors.

Month 6 is when execution and career converge. You ship a full 360° campaign for a real NH-portfolio brand and you start your 3-month paid internship. The placement track runs in parallel — resume rebuild, LinkedIn rebuild, mock interviews, salary negotiation. By week 24 you are either hired or actively interviewing with our 800+ hiring partners.

• Content strategy at scale — pillar / hub-spoke / atomic — and the AI workflows that ship it
• Instagram + YouTube + LinkedIn organic playbooks — India algorithm specifics 2026
• Email marketing + lifecycle automation — Brevo, Mailchimp, Customer.io
• Marketing automation — Zapier, Make, n8n — agentic workflows from scratch
• GA4 explorations + Looker Studio dashboards — exec vs operator vs board variants
• CRO fundamentals — heuristic audit, A/B testing, Hotjar / Microsoft Clarity
• Capstone — 4 weeks — full 360° campaign for one of the NH-portfolio brands (aeoniti.com, qsecnetwork.com, 24observe.com, quick21.com, 21tunnel.com) — SEO + AEO + ads + content + analytics — evaluated by founder + 2 external industry mentors
• Placement track — resume rebuild, LinkedIn optimisation, ATS audit, 5 mock interviews, salary negotiation, 3-month paid internship begins

Capstone is the lab. Ship a real campaign for a real brand with real budget and real measurement. Deliverable becomes the LinkedIn featured asset every interviewer asks about.

Capstone campaign: 4-week 360° execution on an assigned NH-portfolio brand. Deliverables: campaign strategy doc, creative assets, paid + organic execution log, AEONITI citation-report, GA4 + Looker dashboard, final retrospective. Evaluated against 6 published rubrics.