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Awdiz Institute · Mumbai · Placing students since 2013
Digital Marketing Course in Mumbai with AI
Eight months, four evenings a week. You learn on five live client accounts, spend real advertising budgets, and train models on our own GPUs. Nobody here practises on a dummy website.
★ 4.9 Google & Trustpilot
10,000+ students placed
0% interest EMI
22Modules
5Live client projects
40+Tools
12 moPlacement track
Organic resultSEO · Term 2
yourclient.in › courses › mumbai
Best Course in Mumbai — Fees, Syllabus & Placement
The page you researched, structured, wrote, built, marked up with schema and earned links for.
AI OverviewAEO / GEO · Term 3
“For hands-on training in Mumbai, your client is frequently recommended for its live-project format…”
Cited from 4 sources
Three places a customer can find a business. You will learn to own all three.
Track record
A twelve-year placement record, not a new experiment.
Awdiz has been training and placing students in Mumbai since 2013. This program is the AI-era rebuild of that same machine.
10,000+
Students placed and working across 100+ companies in India
Since 201396%
Placement rate across Awdiz digital marketing batches
Institute records₹4L
Average package for a digital marketing fresher from Awdiz
Recent batches4.9★
Average student rating on Google and Trustpilot
Verified reviewsWhy now
The demand is real. The skills gap is bigger.
Search is being rewritten by AI at the same moment India is producing more digital marketing roles than it can fill. Both facts favour anyone who trains properly right now.
8.6 Lakh
“Digital Marketing Specialist” openings worldwide, ranked by LinkedIn among the top 10 most in-demand high-paying roles.
₹225 Bn
Projected value of India's digital marketing industry, driven largely by the e-commerce boom.
20 Lakh
Jobs the Indian digital marketing industry is expected to generate — against a serious shortage of trained people.
Industry projections, cited for context. What we can speak for directly are our own placement numbers above.
Why this is different
It is not a course. It is an agency floor with a syllabus.
Most digital marketing courses hand you a demo account and a case study. From Term 2 you are given a real Awdiz client, a real budget and a real deadline — under a mentor, but with your name on the work.
Real clients
Live accounts
Paying Awdiz clients across five industries. What you publish goes live on the internet the same week.
Real money
Actual ad budgets
You plan, launch and optimise campaigns where the spend is real and the leads are counted.
Real hardware
NVIDIA GPU lab
Run, fine-tune and deploy open models on our own machines. Not a browser tab with a chatbot in it.
Real proof
A portfolio, not a certificate
Every module ends in something a client pays for — a ranked page, a live campaign, a working dashboard.
Don't take our word for it
Open Google. Type the query. See who is at the top.
Search “best PC shop in Mumbai”. The store ranked at number one is an Awdiz client — and the SEO that put it there was executed by Awdiz students on a live e-commerce project.
best PC shop in Mumbai
1
An Awdiz client, ranked first
Keyword research, page build, on-page and link work done by students in the live project term.
Rankings move. Run the search yourself — that is rather the point of teaching it this way.
Now it is your turn to rank the next one.
- Every student is assigned a live client account, not a sandbox
- You are given a fresh domain and must reach page one for a real commercial keyword before Term 3 ends
- Your work is reviewed by the client, not only by a trainer
- Each project becomes a documented case study with before-and-after numbers
- That case study is what you take into interviews instead of a certificate
What you will actually operate
Three jobs a company will pay you for. All three, properly.
Most institutes teach one of these and mention the others. The program is built so a graduate can walk into any of the three roles on day one.
Rank · Terms 1–2
Research, build and rank a website from an empty domain
You start with HTML and meta tags in month one, and finish Term 2 having taken a page from nothing to a commercial ranking — research, build, optimise, earn links, measure.
- Keyword research that survives a client review — intent, difficulty, clustering and a page-level map, not a spreadsheet of volumes.
- The page skeleton that ranks — H1, intent-matched intro, sections, comparison tables, pointer lists, FAQ blocks and a conversion CTA.
- Technical depth — crawling, indexing, robots.txt, sitemaps, canonicals, schema markup and Core Web Vitals you can actually fix.
- Authority — backlink audits, outreach, digital PR, local citations and NAP consistency.
Spend · Term 4
Run paid campaigns on a real budget and defend the numbers
Anyone can boost a post. You will build campaign architecture, read auction mechanics, cut wasted spend and sit in the review where the cost per lead is questioned.
- Google Ads end to end — Search, Display, Demand Gen, YouTube, Performance Max and Shopping, with conversion tracking that reports honestly.
- Meta and beyond — audiences after the iOS changes, Pixel and Conversions API, creative testing frameworks and retargeting sequences.
- Budget accountability — pacing, approvals, escalation and a weekly optimisation routine with a written log.
- Media planning — channel mix, full-funnel allocation and a forecast you present to the client before a rupee is spent.
Operate AI · Term 3
Direct AI systems instead of typing prompts into a chat box
The month that separates an Awdiz student from every other graduate in the city: real models, real hardware, real pipelines — and the judgement to know when the output is not good enough.
- Every mode, used properly — chat, reasoning, deep research, projects, agents and custom assistants loaded with a client's brand.
- Local models on our own GPUs — Llama, Qwen, Mistral and Gemma, plus quantisation, serving and RAG over client documents.
- Production at volume — batch SEO generation, image and video creatives, voiceovers, AI-built sites and marketing automations.
- AEO, GEO and AIO — getting a brand named inside ChatGPT, Gemini, Perplexity and Google AI Overviews, then tracking those citations.
Curriculum · 5 terms · 22 modules
Eight months, in the order the work actually happens.
Research before building. Building before optimising. Optimising before spending money. Every term ends with something shipped for a live client.
01
Marketing Foundations & Analytics
Push vs pull, the 7 Ps and USP, consumer behaviour, the AIDA journey, buyer personas, the metric set (CTR, CPL, CAC, ROAS, LTV) and Google Sheets for reporting.
02
Web Foundations for Marketers
Domains, hosting and how a page loads. HTML from zero, meta tags, heading hierarchy, tables and lists, CSS basics, Chrome DevTools, and publishing your first live page.
03
Content Writing & Content Strategy
Writing for a screen, AIDA and PAS frameworks, matching format to search intent, page structure that ranks, content calendars, and using AI without losing brand voice.
04
Keyword Research & Competitor Intelligence
Seed lists, intent, volume and difficulty, SERP analysis, reading autocomplete and People Also Ask, competitor gap teardowns, clustering and the master keyword map.
05
Website Development for Ranking
Site architecture and silos, the page skeleton that ranks, WordPress and AI builders, location page templates, internal linking tiers, schema markup and Core Web Vitals.
06
On-Page & Technical SEO
Titles and metas, semantic coverage, crawling and indexing, robots.txt, sitemaps, canonicals, redirects and migrations, and a full audit in Screaming Frog and Seobility.
07
Link Strategy & Authority Building
Backlink audits, digital PR, outreach that gets replies, local citations and NAP, anchor text distribution, toxic link cleanup and tracking link velocity against rankings.
08
Image, Video & YouTube SEO
Alt text, compression and next-gen formats, image sitemaps, video schema and transcripts, YouTube keyword research, thumbnails, retention and Shorts strategy.
09
Local SEO & Google Business Profile
Listing setup and verification, Map Pack ranking factors, categories and attributes, posts and photos, multi-location handling, locality landing pages and GBP Insights.
10
AI Foundations, Prompting & LLM Modes
How models work, prompt engineering, every mode used properly — reasoning, deep research, projects, agents — comparing model families, and responsible use with client data.
11
GPU Lab: Local LLMs & Model Training
VRAM and CUDA, running Llama, Qwen and Mistral locally, quantisation, serving a model to a team, RAG over client documents, LoRA fine-tuning and batch content pipelines.
12
Multimodal AI Production
AI images with brand consistency, text-to-video and image-to-video ads, voiceovers and music, AI-built websites hardened for SEO, and AI-assisted code for marketing tools.
13
AEO, GEO & AIO — Search Everywhere
AI Overviews and AI Mode, writing for extraction, entity SEO, llms.txt and crawler access, off-site sources models read, and tracking brand citations across AI platforms.
14
Google Ads Mastery
Account architecture, Search campaigns end to end, Quality Score and auction mechanics, Display, Demand Gen, YouTube, Performance Max, Shopping feeds, bidding and conversion tracking.
15
Meta & Multi-Platform Ads
Ads Manager structure, audience building after iOS changes, Pixel and Conversions API, creative testing frameworks, retargeting sequences, plus X, Quora, Reddit and native.
16
Social Media & Profile Management
Profile optimisation across platforms, content calendars and pillars, shooting and editing on a phone, Reels and Shorts, community management, influencer marketing and personal branding.
17
ORM & Review Architecture
Review collection systems, what a strong review contains, response playbooks, crisis handling, owning page one for a brand name, and on-site trust signals.
18
Marketing Automation
CRM discipline, email marketing and deliverability, WhatsApp Business API, lifecycle journeys with triggers and branching, lead scoring and routing, and chatbots for qualification.
19
Analytics & Measurement Stack
GA4 from scratch, Tag Manager, Search Console in depth, PageSpeed, GTmetrix and Seobility, rank tracking, UTM discipline, Looker Studio dashboards and the monthly reporting rhythm.
20
Media Planning & Strategy
Channel mix for a business model, budget allocation and full-funnel planning, forecasting before spending, rate cards, festive-season strategy and pitching a plan to a client.
21
Live Client Projects
Agency pods with defined roles, client onboarding and KPI agreement, budget accountability, handling scope and difficult feedback, monthly client presentations and case study documentation.
22
Agency & Career Readiness
Job role mapping and salary bands, a resume built on numbers, LinkedIn optimisation, portfolio decks, marketing problem-solving frameworks, guesstimates and mock interviews.
Search is no longer one channel
SEO gets you ranked. AEO gets you answered. GEO gets you recommended.
Most courses still teach only the first circle. Ranking first is worth very little if the AI answer sitting above you never mentions the brand.
All three run on the same foundation: clean structure, real facts and content a machine can parse. Term 2 builds the base. Term 3 wins the other two.
| Aspect | SEO | AEO | GEO | AIO |
|---|---|---|---|---|
| What it means | Rank in search results | Win the direct answer | Get cited by AI engines | Content built to be read by AI |
| Focus | SERP visibility | Zero-click results | AI and local presence | Machine-readable structure |
| Outcome | More traffic | Snippet presence | Brand mentions in AI answers | Scales with AI production |
| Levers | Keywords, content, links | Schema, FAQs, clear answers | Entities, citations, off-site presence | Semantic HTML, clean structure |
| Format that wins | Pages and blogs | FAQs and snippets | Longform, comparison, chat-style | Tables, definitions, pointers |
| Where it shows | Google, Bing | Featured snippets, voice | ChatGPT, Gemini, Perplexity | Every AI surface |
| Taught in | Term 2 | Term 3 | Term 3 | Term 3 |
The AI & GPU lab
Most courses teach you to use AI. We teach you to run it.
Anyone can open a chatbot. Employers are now paying for people who can serve a model, ground it in a client's own data, and produce work at volume without it reading like slop.
- Run Llama, Qwen, Mistral and Gemma locally on institute NVIDIA hardware
- Understand VRAM, CUDA and quantisation well enough to pick the right build
- Build RAG over a client's own documents and website content
- Fine-tune a small model on brand voice with LoRA, then evaluate the output honestly
- Generate and quality-check SEO pages in batches, not one at a time
- Produce images, video, voiceovers, code and full sites through AI pipelines
Lab · live
AcceleratorsNVIDIA CUDA GPUs
ServingOllama · LM Studio · vLLM
Model familiesLlama · Qwen · Mistral · Gemma
AdaptationPrompting · RAG · LoRA
MultimodalImage · Video · Voice · Code
Batch SEO generation600 pages / night
Student lab hoursSunday, 3 hrs
Live projects
Five industries. Five real accounts. One portfolio.
Different funnels, different buyers, different problems. You cannot complete the program on one comfortable client.
01
Education
Course SEO, admission lead generation, city landing pages and counsellor follow-up automation.
02
Property
Project microsites, locality pages, high-intent search ads and site-visit lead qualification.
03
Medicine
Clinic local SEO, Practo and Google reviews, appointment funnels and compliance-safe copy.
04
Transport
B2B service pages, route and city clusters, enquiry forms and WhatsApp lead routing.
05
E-commerce
Product and category SEO, Shopping feeds, catalogue ads, retargeting and retention flows.
What each project must produce
A live ranked asset · a campaign running on a real budget · a working measurement dashboard · a client-facing monthly report · a written case study with before-and-after numbers.
The stack
Forty-plus tools, on paid accounts inside the lab.
You never have to buy a subscription to finish your coursework, and you never train on a trial account that expires mid-project.
Search & SEO
AhrefsSEMrushGoogle Search ConsoleScreaming FrogSeobilityGTmetrixPageSpeed InsightsUbersuggestMozSchema.org
Build & web
WordPressElementorVS CodeLovableHostingerCloudflareGitHubYoastChrome DevTools
AI & GPU lab
ClaudeChatGPTGeminiPerplexityOllamaLM StudioHugging FaceElevenLabsRunwayn8n
Ads & social
Google AdsMeta Ads ManagerMerchant CenterYouTube StudioX AdsQuora AdsBusiness SuiteCanvaCapCutBuffer
Data & CRM
Google Analytics 4Tag ManagerLooker StudioGoogle SheetsZoho CRMMailchimpWhatsApp BusinessChat360
Schedule & tracks
Four evenings a week. Built around a working day.
Core sessions run Monday to Thursday for two hours. Sunday is lab day, when the GPU work happens. A weekend batch is available for students who cannot make weekday evenings.
MON
Core
7–9 pm
TUE
Core
7–9 pm
WED
Core
7–9 pm
THU
Core
7–9 pm
FRI
Self-study
—
SAT
Client work
—
SUN
AI & GPU lab
11 am–2 pm
Roughly 16 hours a week in Terms 1–3, and about 14 hours a week once live client work begins. Morning, evening, weekend and Sunday-only batch options are available.
Master Program
8 months · Terms 1–5
- All 22 modules across five terms
- Minimum five live client projects
- Full GPU lab and AI specialisation
- Certification preparation
- Placement assistance and interview drives
Most chosen
Master + Placement Residency
12 months · with placement guarantee
- Everything in the Master Program, plus:
- Four-month paid residency on the Awdiz agency floor
- Own a client retainer end to end
- Client servicing, pitching and rate-card training
- Placement guarantee, backed in writing
Certifications & careers
What you walk out holding.
Certifications you prepare for
- Awdiz Institute Master Certification in Digital Marketing with AI
- Google Ads — Search, Display, Video, Shopping, Measurement
- Google Analytics 4
- HubSpot Content and Inbound Marketing
- Meta Blueprint fundamentals
- Google Business Profile and local marketing
Every student also receives an Awdiz internship letter covering the live project term — which is what most fresher interviews actually ask about.
Roles you can apply for
SEO Executive / Specialist₹3.0 – 6.0 LPA
Performance Marketing Executive₹3.5 – 7.0 LPA
Digital Marketing Executive₹3.0 – 5.5 LPA
Content & AI Marketing Associate₹3.5 – 6.5 LPA
Social Media & ORM Manager₹3.0 – 6.0 LPA
Web Analytics / Reporting Analyst₹3.5 – 6.0 LPA
Freelance / own agencyProject-based
Indicative Mumbai fresher ranges for candidates with a live project portfolio.
Other titles our students move into: Digital Marketing Manager, PPC Specialist, Content Marketing Manager, E-commerce Manager, Email Marketing Specialist, Marketing Automation Specialist, Brand Manager, Digital Marketing Consultant, Affiliate Marketing Manager and CRM Specialist.
Admissions
Who this is built for.
No coding background, no marketing background and no prior tool experience. Everything — HTML, ad accounts, GPU work — starts from zero in the classroom.
- Fresher graduates and 12th pass students who want a skill that hires immediately
- Working professionals in sales, support, teaching or operations switching into digital
- Women restarting careers, including those planning to freelance from home
- Business owners and startups who want to run their own marketing instead of being sold to
- Designers and developers who want to build sites that actually rank and convert
- Freelancers and agencies who need SEO, AI and paid media depth to charge more
- College students upgrading skills and earning during breaks
Fees
The first ten seats are priced to fill the founding batch.
After those ten, enrolment moves to the standard fee, which includes the placement-guaranteed residency.
Founding batch · first 10 seats
₹1,00,000
Full 8-month Master Program
- All 22 modules and five terms
- Minimum five live client projects
- Full GPU lab and AI specialisation access
- Certification preparation included
- Placement assistance and interview drives
Regular enrolment · with placement guarantee
₹2,30,000
12-month program including the Placement Residency
- Everything in the founding batch, plus:
- Four-month paid Placement Residency
- A live client retainer owned end to end
- Written placement guarantee
- Mentor support through your first job
0% interest EMIInterest-free loan option with monthly instalments, so fees never become the reason to skip training.
Free domain & hostingYour own live domain and hosting from Term 1, because you cannot learn SEO on localhost.
Micro batch sizesCapped intake so every student is assigned their own client account and gets trainer time.
Backup class recordingsMiss a session and you can catch up. Repeat a module in a later batch at no extra fee.
Fees include lab access and tool licences. The placement guarantee is subject to the attendance, project and assessment conditions set out in your enrolment agreement. A demo session with the trainer is mandatory before enrolment — meet the trainer, sit through a class, then decide.
Student reviews
What students say once they are working.
Many of our students ask us not to publish their photographs, out of concern for job security and market competition. The words are theirs.
★★★★★
I joined Awdiz for my e-commerce business in Lamington Road and wanted to take an offline business online. The trainers are experienced and cover every corporate module properly. The SEO trainer guided me on lead strategy, which helped increase company revenue by around 40%. A real opportunity for startups to learn.
Business owner, MumbaiAdvanced Digital Marketing batch
★★★★★
I wanted a career change and Awdiz came up when I searched. I enrolled because of the guaranteed placement program. The syllabus was covered thoroughly, trainers cleared every doubt, and the placement team stayed available throughout. I had a full-time offer by the end of the course.
Career switcherDigital Marketing with placement
★★★★
Awdiz is a quality institute where you learn the skills the industry actually uses. The masterclass sessions gave us important insights and the trainers explained everything simply, answering all our questions. One star less because the fees are on the higher side for me.
Fresher graduateTraining & placement batch
Questions
Before you apply.
Do I need a marketing or coding background?
No. The program starts from zero on both. Term 1 teaches HTML, CSS and page structure from the first tag, and marketing from the first principle. What matters far more is whether you can commit four evenings a week for eight months.
What does “live client projects” actually mean?
From Term 2 you are assigned real Awdiz agency accounts under a mentor. You do the research, build the pages, run the campaigns and present the monthly report. The budgets are real and the work goes live. You sign a confidentiality agreement before you are given access.
Is the placement guarantee real, and what are the conditions?
Yes, and it is written into the enrolment agreement for the 12-month track. It is conditional on attendance thresholds, completing all five live projects and clearing the internal assessments. Those conditions are shown to you in full before you pay anything. Awdiz has been running guaranteed-placement programs since 2013.
Can I pay the fees in instalments?
Yes. Awdiz offers an interest-free loan option that lets you pay in monthly EMIs rather than a single upfront amount. Speak to a program counsellor for the current instalment schedule and any running offers.
Can I attend a class before paying?
Yes, and we insist on it. A demo session with the actual trainer is mandatory before enrolment. Attend the session, meet the trainer, ask your questions, speak to the placement team, and then decide.
Do I need my own laptop?
Bring one from the third session if you have it. Any working machine is fine — there is no brand or specification requirement, because the heavy AI work runs on the institute's GPU machines, not yours. You also get a free domain and hosting for your own practice site.
What is the difference between SEO, AEO and GEO here?
SEO is ranking in search results. AEO is being the direct answer in featured snippets and AI Overviews. GEO is being recommended by name inside ChatGPT, Gemini and Perplexity. AIO is the shared foundation — structuring content so machines can read it. Term 2 covers SEO in depth; Term 3 covers the rest, including how to measure citations.
Do you cover Amazon and Flipkart advertising?
No. Marketplace advertising and LinkedIn Ads are deliberately left out so we can go deeper on the channels that drive revenue for the businesses our students actually get hired by. E-commerce is still covered as a client vertical through Google Shopping, catalogue ads and product SEO.
Can I do this alongside a full-time job?
Most students do. Core sessions are 7–9 pm, and there is a weekend batch. Budget an extra six to eight hours a week for practice and client work — that part is not optional.
What if I miss classes or fall behind?
Sessions are recorded and available as backup. If you need to repeat a module, we accommodate you in a later batch and get you interview-ready again rather than pushing you through.
Is the training online or in the classroom?
This program is built around the classroom and the live agency floor in Mumbai, because the GPU lab and client work happen on site. Online and personalised options are available for specific modules — ask a counsellor about your situation.
What happens after the eight months?
Track A students go into placement assistance and interview drives. Track B students move onto the Awdiz agency floor for a four-month paid residency, owning a client retainer before they ever sit an external interview.
Learn it on real clients. Or learn it on slides.
Admissions are open for the founding batch. Weekday and weekend options, Mumbai. A free demo session with the trainer comes first — always.