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Classroom Digital Marketing Training in Nagpur · 4 Months

Digital Marketing Course in Nagpur with AI, SEO & Ads

Learn digital marketing from the foundations to AI-powered growth. Build practical skills in SEO, Google & Meta Ads, AEO, GEO, LLMO, marketing automation and analytics.

COURSE DURATION4 Months
TOTAL COURSE FEE₹20,000
PRACTICAL EXPERIENCE5 Live Client Projects
CAREER SUPPORT100% Job Assistance

Job assistance means career guidance and support—not a guaranteed job placement.

Enquire for Next Batch Explore Syllabus
Industry-based learningAI + Search specialisationHands-on practical training
SEO
Technical & Local Search
AEO
Search Answers & Q&A
GEO
Generative Search Visibility
LLMO
LLM Brand Discovery

COURSE OVERVIEW · NAGPUR

Digital Marketing Course in Nagpur: Fees, Duration & Syllabus

Aspire Computer Institute offers a 4-month digital marketing course in Nagpur for ₹20,000. The curriculum combines SEO, Google Ads, social media, content marketing, analytics, AEO, GEO, LLMO and practical AI workflows. The course uses practical projects and provides career guidance. Job assistance does not guarantee employment.

Training at Aspire Computer Institute is classroom-focused. Call to confirm the branch, next batch timing, available seats and tool access before visiting.

STRUCTURED PRACTICAL LEARNING

What Will You Learn in the 4-Month Digital Marketing Course?

An illustrative learning progression across the full original syllabus and the advanced AI modules. The actual order can vary by batch and project availability.

MONTH 01

Foundations & Search

Marketing fundamentals, websites and landing pages, keyword research, on-page SEO, technical SEO and local search.

Practical: website and SEO audit
MONTH 02

Campaigns & Content

Google Ads, Meta Ads, content calendars, social media strategy, conversion tracking and email marketing.

Practical: campaign plan and creative assets
MONTH 03

AI Search & Automation

AEO, GEO, LLMO, AI-assisted research, generative content review, measurement and responsible automation.

Practical: AI-search visibility and workflow lab
MONTH 04

Client Projects & Career

Client briefs, reports, optimization experiments, portfolio presentation, resume preparation and interview practice.

Practical: client-style case study and dashboard

Why Choose This Course?

Build the skills to plan, launch, measure and improve modern marketing campaigns. Go beyond basic posting and keyword tools: learn to audit AI answers, design source-backed content, build automations, measure conversions and explain results to a real client.

From a keyword plan to a measurable AI-first growth system.

INDUSTRY-BASED LEARNING · PRACTICAL PORTFOLIO

Learn with 5 Live Client Projects

Practice what marketing teams actually do: understand a brief, prepare a strategy, execute approved tasks, measure results and present your work. Below are example project tracks; actual briefs depend on the clients involved.

PROJECT 01

Local Business SEO

Keyword strategy, Google Business Profile improvements and a client-ready website audit.

PROJECT 02

Social Media Campaign

Create a content plan, campaign assets, audience research and an engagement report.

PROJECT 03

Google & Meta Ads

Plan paid campaigns, build creative variations and track campaign performance with guidance.

PROJECT 04

AI Search & Content

Develop useful content using SEO, AEO, GEO and LLMO research and source checking.

PROJECT 05

Lead Generation & Analytics

Build a conversion-focused landing-page plan, follow-up workflow and marketing dashboard.

Included with the course: Practical feedback, project documentation and a portfolio-focused learning approach.Ask About Admissions

Advanced specialisation · 2026 industry workflows

Be Discoverable in Search, Answers & AI Assistants

Modern discovery happens on Google, maps, video platforms and AI assistants. Our approach combines reliable SEO foundations with experimentation in answer quality, brand representation and measurable lead generation—not unproven ranking tricks.

01 · SEO

Search Engine Optimization

Make useful pages discoverable, fast, crawlable and relevant to search intent.

Output: Technical audit + content cluster
02 · AEO

Answer Engine Optimization

Build precise, evidence-backed answers for question-led discovery, snippets and conversational search.

Output: Answer-library + query map
03 · GEO

Generative Engine Optimization

Test whether authoritative, clear content is found and referenced across AI-powered search experiences.

Output: AI visibility audit + evidence log
04 · LLMO

Large Language Model Optimization

Research how assistants describe a brand, evaluate factual accuracy and strengthen trusted brand information.

Output: Prompt test suite + brand fact sheet

Industry reality: AEO, GEO and LLMO are evolving practitioner terms, not official Google ranking switches. Google says existing SEO fundamentals apply to AI Overviews and AI Mode; special AI-only files or schema are not required to appear.

Your original course + next-generation specialisations

Complete Digital Marketing Syllabus — Original + AI Advanced

Every topic from the previous Aspire Digital Marketing syllabus is retained. Additional SEO, AI Marketing, AEO, GEO, LLMO and automation lessons expand the course, not replace it. On mobile, tap a module to view all topics.

10 original modules 70 original lessons & practical topics 9 added AI specialisation modules

Fundamentals of Digital Marketing

  • What is Digital Marketing? (Scope & Career Paths)
  • Traditional Marketing vs Digital Marketing
  • Digital Marketing Ecosystem & Job Roles
  • Understanding Sales Funnel & Buyer's Journey
  • Setting SMART Goals for Campaigns
  • Tools Overview: Google Workspace, Canva, Trello

Website Planning & Basics

  • Domain, Hosting, SSL – Setup & Security
  • WordPress / CMS Setup for Business Website
  • Landing Page Design Principles (Lead Generation Focus)
  • UI/UX basics for Marketing
  • Website Analytics Setup (Google Analytics 4, Hotjar basics)
  • Practical: Create a WordPress site with optimized landing page.

Search Engine Optimization (SEO)

  • On-Page SEO
  • Keyword Research (Google Keyword Planner, SEMrush, Ahrefs free tools)
  • Meta Tags (Title, Description, Alt text)
  • URL Structure & Internal Linking
  • Mobile-first & Page Speed Optimization
  • Content SEO (Blog Writing & Keyword Optimization)
  • Off-Page SEO
  • Backlink Strategies (Guest Posting, Outreach, Directories)
  • Local SEO (Google My Business Optimization)
  • Social Bookmarking & Forum Submissions
  • Technical SEO
  • Sitemap & Robots.txt
  • Canonical Tags & Schema Markup
  • Core Web Vitals & Indexing Issues
  • Practical: Rank a blog/website for at least 3 competitive keywords.
  • New: industry-updated practice & 2026 tools
  • Search intent, topic clustering, competitor gap analysis and evidence-led keyword research
  • On-page SEO: title tags, headings, useful content, internal links and image optimization
  • Technical SEO: crawling, indexing, sitemaps, canonicalization, redirects and JavaScript SEO
  • Core Web Vitals, mobile experience, structured data validation and accessibility
  • Local SEO: Google Business Profile, NAP consistency, service pages and review operations
  • SEO reporting: Search Console, GA4, conversions and non-brand query trends
  • Practical: complete a technical audit and publish a measured 90-day SEO action plan — without guaranteed rankings

Search Engine Marketing (SEM) – Google Ads

  • Google Ads Dashboard Walkthrough
  • Campaign Types: Search, Display, Video, Shopping, Performance Max
  • Keyword Match Types & Negative Keywords
  • Bidding Strategies (CPC, CPA, ROAS)
  • Ad Extensions & Quality Score Optimization
  • Conversion Tracking (Google Tag Manager basics)
  • Budget Management & A/B Testing
  • Practical: Run a small-budget Google Ads campaign & analyze performance.
  • New: industry-updated practice & 2026 tools
  • Campaign Types: Search, Display, Video, Shopping, Demand Gen and Performance Max
  • AI Max for Search: query expansion, creative controls, landing-page relevance and evaluation; budget pacing and A/B tests

Social Media Marketing (SMM)

  • Social Media Platforms Overview (FB, Insta, LinkedIn, Twitter, YouTube)
  • Social Media Algorithms & Engagement Metrics
  • Content Strategy & Calendar Creation
  • Paid Ads Campaign Setup (Facebook Business Manager, LinkedIn Ads)
  • Remarketing Campaigns
  • Influencer Marketing & Brand Collaborations
  • Practical: Run an Instagram Ad & LinkedIn Lead Gen Campaign.

Content Marketing

  • Content Writing for SEO vs Social Media
  • Copywriting Basics (AIDA, PAS, Storytelling)
  • Video Content Creation (YouTube SEO, Shorts/Reels)
  • Blogging & Guest Posting for Authority Building
  • Email Newsletter Content Strategy
  • Practical: Write a 1,000-word SEO blog + create a social post calendar.

Email Marketing & Automation

  • Email List Building (Lead Magnets, Signup Forms)
  • Campaign Types: Newsletters, Nurturing, Promotions
  • Mailchimp / Sendinblue Setup
  • Email Deliverability & Avoiding Spam Filters
  • Automation Flows (Welcome, Abandoned Cart, Re-Engagement)
  • Practical: Build an email automation flow with segmentation.

Analytics, Reporting & Tools

  • Google Analytics 4 (Audience, Behavior, Conversions)
  • Google Tag Manager Basics
  • UTM Parameters for Campaign Tracking
  • Data Studio (Dashboard Creation)
  • KPIs for SEO, PPC, SMM, Email
  • Practical: Create a monthly performance report for a mock client.

Affiliate & Influencer Marketing

  • Affiliate Networks (Amazon, CJ, ShareASale)
  • Setting Up Affiliate Campaigns
  • Influencer Outreach & Negotiation
  • ROI Measurement

Advanced Topics & Career Prep

  • Marketing Automation (HubSpot, Zoho CRM basics)
  • AI in Digital Marketing (ChatGPT, Jasper, Canva AI, Midjourney)
  • Online Reputation Management (ORM)
  • Freelancing Platforms (Fiverr, Upwork, LinkedIn)
  • Resume & Portfolio Building for Digital Marketers
  • Mock Interviews & Case Studies
  • New: industry-updated practice & 2026 tools
  • AI in Digital Marketing: approved prompting, fact-checking, synthetic creative, human review and brand voice

Original practical exercises, including the three-keyword ranking assignment, are preserved as written. Search rankings and visibility depend on many factors and are not guaranteed outcomes.

Extra curriculum — all original lessons retained above

Advanced AI Marketing, SEO, AEO, GEO & LLMO Modules

From AI-assisted research to conversion tracking, every advanced module ends with a practical deliverable that students can explain, demo and defend.

AI Marketing Strategy & Prompt Engineering

  • Marketing use cases for multimodal LLMs: research, ideation, insight extraction and campaign analysis
  • Prompt design: objective, context, data, constraints, brand voice, structured output and iterative evaluation
  • Using retrieval-augmented generation (RAG) for grounded content with source citations
  • Build buyer personas and customer journey hypotheses using interviews and first-party evidence
  • Research workflows with ChatGPT, Gemini and other approved AI assistants
  • Practical: create a reusable prompt library with source checks, scoring rubrics and an approval workflow

AEO · Answer Engine Optimization

  • Question-first research: People Also Ask, long-tail intent, comparison and problem-solving queries
  • Writing concise answers with supporting context, original examples and credible references
  • Featured snippets, conversational intent, voice search and practical Q&A patterns
  • Clear headings, semantic HTML, contextual links and accurate applicable structured data
  • Test answer accuracy, completeness and conversion paths with a scored audit worksheet
  • Practical: produce an industry-specific 30-question answer hub with an evidence checklist

GEO · Generative Engine Optimization

  • How AI Overviews, AI Mode and retrieval-grounded discovery can surface web sources
  • Search fan-out, entity relationships, topical authority and genuine first-hand evidence
  • Differentiate citation mentions, unlinked brand mentions and actual referral traffic
  • Build a repeatable AI visibility study using a fixed prompt set, dates and screenshots
  • Monitor facts, sources, changes over time and competitors without presenting scraped guesses as first-party metrics
  • Practical: publish a before/after GEO experiment report with limitations clearly stated

LLMO · Brand Discovery in AI Assistants

  • Understand LLM discovery versus search-engine indexing; model answers may change between runs
  • Test brand prompts on multiple assistants while logging model, locale, time and citations
  • Correct inconsistent business facts across website, profiles, reputable directories and public references
  • Prepare expert-led factual content, author profiles, case studies and reliable source pages
  • Optional exploration: llms.txt as an ecosystem convention; not required by Google Search
  • Practical: build an LLM brand accuracy scorecard and evidence-based improvement backlog

Agentic Marketing & Workflow Automation

  • Automation fundamentals: triggers, webhooks, APIs, JSON, CRM fields and error handling
  • Build no-code/low-code workflows with n8n, Make or Zapier and CRM integrations
  • Lead capture → validation → consent check → CRM assignment → human-approved follow-up
  • AI agents for controlled research, summaries and draft responses (no unsupervised spam)
  • Introduction to tool-calling and Model Context Protocol (MCP) concepts
  • Practical: build a sandbox AI lead-qualification workflow with duplicate checks and an audit log

Measurement, Attribution & Privacy Engineering

  • GA4 events, Google Tag Manager, UTM standards, conversion funnels and Looker Studio
  • Consent-aware measurement, privacy principles and responsible handling of customer data
  • Introduction to server-side tagging and Google Analytics Measurement Protocol
  • Multi-touch attribution limitations, assisted conversions and offline lead quality
  • Build client-ready KPI reports: CAC, CPL, conversion rate, ROAS and retention signals
  • Practical: instrument a test landing page and build a conversion/lead-quality dashboard

AI-Powered Google, Meta & Creative Ads

  • Google Ads AI Max for Search, Performance Max, Demand Gen and asset-based ad workflows
  • Audience insights, experiment design, negative signals, creative testing and human oversight
  • Generate and review copy, banners, short videos and variations for brand consistency
  • Meta campaign strategy, lead forms, retargeting concepts and verified conversion tracking
  • Budget guardrails, brand safety, policy checks and incremental-results thinking
  • Practical: produce an AI-assisted ads launch pack, test plan and post-campaign report

Multimodal Content, Video & Visual Search

  • Short-form videos, YouTube search, image discoverability and social-first content
  • AI-assisted scripts, creative briefs, voiceover/storyboards and thumbnail experiments
  • Visual content quality: captions, alt text, transcripts, meaningful filenames and copyright review
  • Product feeds, image-led search and emerging AI-assisted product discovery
  • Disclosure, permissions and provenance for synthetic visuals and testimonial-style material
  • Practical: create an accessible multichannel campaign kit and distribution calendar

CRO, Growth Experiments & AI-Led Research

  • Conversion rate optimization: positioning, trust, offers, forms and mobile user experience
  • Plan A/B tests with a hypothesis, primary KPI, guardrail and decision rule
  • Analyse heatmaps and session patterns carefully without confusing correlation and causation
  • Use AI to synthesize user feedback, cluster objections and draft test alternatives
  • Lead nurturing with CRM segmentation and approved WhatsApp/email communications
  • Practical: run a structured landing-page experiment on test or consented client data

Industry Tools & Tech Stack

Skills first, tools second. Students practice on free tiers, demos and sandbox environments where available; premium licenses and paid ad spend are not assumed to be included.

Search & AI Visibility

Google Search Console, Google Trends, Google Business Profile, Screaming Frog, Ahrefs / Semrush, Rich Results Test, PageSpeed Insights

AI & Content

ChatGPT, Gemini, NotebookLM, Canva AI, AI-assisted creative/video tools, research source logs and prompt evaluation sheets

Ads & Commerce

Google Ads, Google Merchant Center, Meta Ads Manager, LinkedIn Campaign Manager, campaign asset libraries

Data & Analytics

GA4, Google Tag Manager, Looker Studio, Sheets, Excel, event-debugging tools, consent-aware analytics

Automation & CRM

n8n, Make, Zapier, HubSpot / Zoho CRM, webhook testers and structured JSON workflows

Websites & CRO

WordPress, HTML basics, Search Console URL inspection, accessibility audits, landing-page experiments

Tools from your previous syllabus (also covered)

  • SEO: Google Search Console, Ahrefs, SEMrush, Moz, Screaming Frog
  • Ads: Google Ads, Facebook Business Manager, LinkedIn Campaign Manager
  • Email: Mailchimp, Sendinblue
  • Analytics: Google Analytics 4, Data Studio, Tag Manager
  • Content: Canva, Grammarly, Jasper AI

Some original product names have since changed; current equivalents are demonstrated where applicable.

Capstone Projects (Job-Oriented)

Original syllabus projects

Additional AI-enhanced capstone projects

Portfolio differentiators

6 Signature Applied Labs

Instead of memorising platform names, students produce proof of work: documented tests, real dashboards, annotated workflows and client-ready recommendations.

01

AI Search Observatory

Track consistent brand and competitor prompts across AI search surfaces. Record dates, query type, source links and uncertainty.

Artifact: visibility workbook + research report
02

Answer Gap & Evidence Lab

Map high-intent questions, write sourced responses and validate which answers are genuinely useful to prospects.

Artifact: 30-question answer knowledge base
03

Brand Entity Accuracy Graph

Audit names, locations, products, expert credentials and public references for consistency and factual accuracy.

Artifact: entity map + correction checklist
04

Human-in-the-Loop AI Agent

Connect a lead form to validation, CRM tagging and a supervised follow-up draft with clear permissions.

Artifact: automation diagram + test run
05

Privacy-First Attribution

Trace a test campaign from source through lead conversion, consent, event QA and reporting.

Artifact: GA4 plan + Looker Studio report
06

Multimodal Growth Sprint

Turn one expert source into web copy, answer content, social graphics and video, with originality checks.

Artifact: campaign pack + experiment readout

Responsible AI & Marketing Ethics

Career Pathways & Portfolio Outcomes

With practice and a strong portfolio, students can pursue entry-level or junior opportunities such as:

Real skills + measurable work samples matter more than tool certificates.

LEARN DIGITAL MARKETING IN NAGPUR

Classroom Digital Marketing Training at Aspire Computer Institute

Looking for digital marketing classes in Nagpur? This programme is designed for beginners, students, job seekers, business owners and people interested in freelancing. Learn how to research customer needs, build useful content, run and measure campaigns, and explain results through a practical portfolio.

For classroom enquiries, the current course-page contact location is Near Mahakali Automobiles, Above Virat Boothouse, Wanadongri, Nagpur. Aspire Computer Institute also lists locations in the Hingna and Trimurti Nagar areas. Confirm the teaching branch for your chosen batch before travelling.

Call for Batch LocationAsk on WhatsApp

HONEST STUDENT EXPERIENCES

Student Reviews of Aspire Computer Institute

Choosing a digital marketing course is a personal decision. Read current public feedback about Aspire Computer Institute, then contact us to ask students about their classroom experience, projects and support.

Frequently Asked Questions

Who can join this digital marketing course in Nagpur?

The course starts with digital marketing fundamentals and is suitable for beginners, students, job seekers, entrepreneurs and freelancers. You do not need previous marketing experience to begin. Contact the institute about admission requirements for your batch.

Where are the digital marketing classes held?

Classroom training is offered in Nagpur. The course page lists a Wanadongri contact location; Aspire also operates in the Hingna and Trimurti Nagar areas. Confirm the exact batch venue before visiting.

What subjects are included in the digital marketing syllabus?

The syllabus includes digital marketing fundamentals, website planning, SEO, Google Ads, social media marketing, content creation, email marketing, analytics, affiliate and influencer marketing, career preparation, plus AI marketing, AEO, GEO, LLMO, automation and measurement labs.

What is the difference between SEO, AEO, GEO and LLMO?

SEO improves discoverability in search; AEO focuses on useful direct answers; GEO studies discoverability and referencing in generative-search experiences; LLMO evaluates whether AI assistants describe a brand accurately. These disciplines overlap, and proven SEO basics are foundational to each.

Does GEO guarantee visibility in Google AI Overviews or ChatGPT?

No. Neither the institute nor a third-party tool can guarantee that a platform will cite, recommend or rank a website. Students learn to improve content quality and to measure what actually happens.

Do I need coding experience to learn AI Marketing?

No coding is required for the introductory track. Advanced labs introduce optional HTML, JSON, webhooks and APIs with guided examples.

Are paid AI tools and advertising budgets included?

Free tiers, demonstrations and sandbox exercises can be used where available. Ask the institute to confirm current tool access, any paid subscriptions and live advertising budgets before enrolling.

What projects will be in my portfolio?

A technical SEO audit, AI visibility research report, sourced answer hub, campaign plan, lead automation demonstration and an analytics dashboard are examples of course deliverables.

Is llms.txt compulsory for Google AI Search visibility?

No. Google states that llms.txt and special AI-only markup are not required or used for eligibility in its generative Search features. It can be discussed as an optional experimental convention for other systems.

Ask About the Next Digital Marketing Batch

Speak with Aspire Computer Institute about class timings, the training branch, admission steps and course details.

Ask for Course Details on WhatsApp