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Practical Google Ads training • Jaipur

PPC & Google Ads Course in Jaipur with Practical Campaign Training

Learn how to plan, build, measure and improve Google Ads campaigns—not just where to click. Connect business goals, keywords, Search Ads, landing pages, conversion tracking, bidding and reporting through four guided projects.

1-month foundation Max 5 learners 4 projects

Classroom learning in Jaipur. Confirm the current schedule, approved fee, advertising-budget policy and certificate criteria before enrolment.

Campaign Control Room Measurement ready
Search campaign • JaipurQualified lead campaign
Primary goalLeadsmeasurable action
Daily control₹800sample assumption
TrackingReadytest required
Intent groups18 keywords
High intent8
Comparison6
Research4
+ 14 negative keywords
Sponsored • ExamplePractical Google Ads Trainingparthskills.com/ppc-course

Build campaigns, tracking plans and reports through guided projects.

Course detailsVisit Jaipur centre
Pre-launch healthGoal → page → tag aligned
Search intent mapped
Conversion test passed
1 monthWorking duration
Maximum 5 learnersFocused classroom batch
12 connected modulesSearch gets deepest treatment
4 portfolio projectsBrief through reporting
Transparent budget policyConfirm before real spend
Direct answer

PPC is a payment model. Google Ads is the platform.

This is the Google Ads specialist route at PARTH SKILLS. It goes deeper into Search campaigns, bidding, measurement and optimisation than a broad Digital Marketing foundation course.

PPC

Pay-per-click

An advertising payment model commonly associated with paid search, though modern platforms use several buying and optimisation models.

GOOGLE ADS

Advertising platform

Supports Search, Display, Video, Shopping, App, Demand Gen and Performance Max campaign types.

Practical capabilities

What you should be able to build and explain

Every capability connects to a decision, worksheet, QA check, measurement route or portfolio output.

Translate goals into a campaign brief

Define the offer, customer, conversion, value and the questions that must be answered before spending.

Review landing-page readiness

Check message match, trust, usability, form friction and the path from click to conversion.

Map search intent and keywords

Group keyword themes by intent, choose match types and create negative-keyword logic.

Build Search campaign structure

Organise campaigns, ad groups, geography, language, schedule, networks and URL tracking.

Write responsive search ads

Create relevant headlines, descriptions, sitelinks, callouts and structured snippets with policy awareness.

Understand auctions and bidding

Explain Ad Rank, Quality Score, budget pacing, bid strategies and learning periods.

Choose the right campaign type

Compare Search, Display, Video, Shopping, Demand Gen and Performance Max by goal.

Plan conversion measurement

Map forms, calls, purchases and qualified leads across Google Ads, GA4 and GTM concepts.

Read performance responsibly

Connect platform metrics to commercial outcomes and avoid premature conclusions.

Create optimisation hypotheses

Identify likely waste, define one controlled change and document the reason for it.

Build stakeholder-ready reports

Communicate results, limitations, risks, next actions and measurement-health concerns.

Operate accounts safely

Use access, billing, policy, privacy, consent and change documentation responsibly.

Capability without inflated promises

No guaranteed job, salary, certification, leads, revenue, ROI or ROAS. The course develops campaign evidence and better decision-making habits.

Who should join

One specialist foundation, six useful starting points

No coding qualification is required. Bring a laptop and basic comfort with browsers and spreadsheets.

Students & graduates

Build a structured foundation for paid-search and campaign-operations roles.

Suitable learning path

Working professionals

Add Google Ads planning, measurement and reporting to your current marketing work.

Suitable learning path

Freelancers

Create a credible service workflow with briefs, builds, QA, audits and client reporting.

Suitable learning path

Business owners

Understand what should happen before, during and after advertising spend.

Suitable learning path

Agency team members

Improve account structure, access control, policy checks and change documentation.

Suitable learning path

Ecommerce & sales teams

Understand Shopping, Performance Max and the link between campaign data and revenue.

Suitable learning path
The Parth CLICK Loop

Plan before you spend. Measure before you scale.

Select a stage to see how commercial context stays connected to campaign settings.

Stage 01

Commercial goal

Define the offer, customer, conversion, value and acceptable economics before choosing settings.

Output: Campaign brief and economics sheet
Decision quality

Move from “run ads” to a controlled campaign brief

The practical difference is not another setting. It is a clear chain from commercial goal to measurable action.

Before

“Run Google Ads and get more leads.”

No lead definition, value, location, landing page, budget or measurement plan.
After

“Generate qualified Jaipur consultation requests, tracked after form validation, within an approved cost range.”

Search intent, page match, exclusions, tag tests and lead-quality feedback are documented.
Course curriculum

12 connected modules from economics to optimisation

Google Ads interfaces change. The course keeps durable decisions and measurement principles at the centre.

What you learn

Understand PPC, objectives, CPC, CPM, CPA, conversion rate, ROAS and business outcomes.

Key application

Understand PPC, objectives, CPC, CPM, CPA, conversion rate, ROAS and business outcomes.

Practical lab

Compare two campaign scenarios and calculate foundation-level economics.

Portfolio output

Campaign objective and economics sheet

What you learn

Learn account hierarchy, manager accounts, billing, user access, security, approval status and safe operations.

Key application

Learn account hierarchy, manager accounts, billing, user access, security, approval status and safe operations.

Practical lab

Map account ownership, access levels and a policy-safe launch checklist.

Portfolio output

Account access and governance map

What you learn

Define primary and secondary conversions, value, message match, form friction and pre-launch measurement needs.

Key application

Define primary and secondary conversions, value, message match, form friction and pre-launch measurement needs.

Practical lab

Review a sample landing page against one commercial goal.

Portfolio output

Landing and measurement readiness brief

What you learn

Research themes, classify intent, understand match types, develop negatives and interpret forecasts carefully.

Key application

Research themes, classify intent, understand match types, develop negatives and interpret forecasts carefully.

Practical lab

Create a keyword, intent, match-type and negative-keyword map.

Portfolio output

Keyword and intent workbook

What you learn

Build campaigns and ad groups around goals, intent, geography, language, schedule, networks and URL tracking.

Key application

Build campaigns and ad groups around goals, intent, geography, language, schedule, networks and URL tracking.

Practical lab

Structure one Search campaign from an approved brief.

Portfolio output

Search campaign build sheet

What you learn

Write accurate ad assets, improve message match, review policy risks and create useful extensions.

Key application

Write accurate ad assets, improve message match, review policy risks and create useful extensions.

Practical lab

Draft and review one complete responsive search-ad asset set.

Portfolio output

Ad copy and assets library

What you learn

Understand Ad Rank, Quality Score as a diagnostic, bid strategies, learning periods and budget pacing.

Key application

Understand Ad Rank, Quality Score as a diagnostic, bid strategies, learning periods and budget pacing.

Practical lab

Compare bidding choices for three different data conditions.

Portfolio output

Budget and bidding decision note

What you learn

Compare purposes, audiences, placements, creative requirements, frequency and brand-safety needs.

Key application

Compare purposes, audiences, placements, creative requirements, frequency and brand-safety needs.

Practical lab

Recommend a campaign type and creative brief for a stated scenario.

Portfolio output

Display/video decision brief

What you learn

Understand product data, Merchant Center, asset groups, goals, channel coverage and feed quality.

Key application

Understand product data, Merchant Center, asset groups, goals, channel coverage and feed quality.

Practical lab

Audit a sample product-data and PMax readiness checklist.

Portfolio output

Commerce campaign readiness map

What you learn

Plan audience use responsibly and connect consent, eligibility and data quality with execution.

Key application

Plan audience use responsibly and connect consent, eligibility and data quality with execution.

Practical lab

Design a privacy-aware audience and remarketing plan.

Portfolio output

Audience-use framework

What you learn

Map forms, calls, purchases and qualified leads; understand Ads conversions, GA4, GTM and enhanced conversions.

Key application

Map forms, calls, purchases and qualified leads; understand Ads conversions, GA4, GTM and enhanced conversions.

Practical lab

Create a measurement route and validation checklist.

Portfolio output

Conversion-measurement and tag map

What you learn

Diagnose search terms, devices, locations, time, audiences and conversion data; create change logs and reports.

Key application

Diagnose search terms, devices, locations, time, audiences and conversion data; create change logs and reports.

Practical lab

Review a sample data set and present prioritised actions.

Portfolio output

Audit, experiment and reporting capstone

Portfolio evidence

Four guided projects that show the work behind the certificate

The Professional evidence path moves from commercial context to build, measurement and optimisation.

01
Strategy

PPC campaign brief & economics sheet

Turn a business scenario into a commercial objective, conversion hierarchy, campaign recommendation, budget assumptions and risk log.

EvidenceBrief, assumptions and unit-economics worksheet
02
Build

Search campaign build

Create the intent map, match-type plan, negatives, structure, targeting, responsive ads, assets and QA checklist.

EvidenceComplete campaign-build workbook
03
Measurement

Measurement & tracking map

Document the journey, events, Google Ads and GA4 treatment, GTM route, consent questions and validation steps.

EvidenceConversion plan, tag map and developer notes
04
Capstone

Audit, optimisation & reporting capstone

Review approved sample data, check measurement health, identify waste, prioritise hypotheses and present next actions.

EvidencePPC audit, optimisation log and presentation
Measurement before optimisation

A click is not automatically a business result

Learners map what should be measured, how the event reaches Google Ads, what must be tested and which limitations remain.

Form submissionQualified leadPhone callPurchaseLead statusConsent
Ad clickkeyword + campaign
Landing actionform, call or sale
Tag eventtested route
Business feedbackquality + value
Validate before relying on data
Campaign types covered

Search gets depth. Other campaign types get context.

Choose the campaign type from the goal, available evidence, creative, feed and measurement readiness.

Search

Intent-led queries, keywords, ads, assets, bidding and optimisation.

Foundation coverage

Video

YouTube campaign purposes, audiences, creative needs and measurement.

Foundation coverage

Display

Audience, placement, frequency, creative and brand-safety foundations.

Foundation coverage

Shopping

Merchant Center, product data and commerce measurement basics.

Foundation coverage

Performance Max

Goals, asset groups, channel coverage, feeds, search themes and controls.

Foundation coverage

Demand Gen

Visual discovery, audiences, creative formats and suitable use cases.

Foundation coverage
Responsible AI in Google Ads

Use AI to assist analysis—not to approve spend

AI can accelerate drafts and organisation. Budgets, claims, policies, tracking and final decisions remain human responsibilities.

01Approved objective
02Research & intent
03AI-assisted draft
04Human edit
05Policy & claim review
06Tracking test
07Budget approval
08Evidence review
09Learning record
AI may assist

Keyword organisation, draft variations, asset checks, research summaries, hypothesis lists and reporting structure.

Human review is mandatory

Claims, policy, privacy, billing, bidding, budgets, conversion definitions, landing-page truth and launch approval.

Teaching stack

Tools connected by one measurement workflow

Current access, free/paid limits and account requirements should be confirmed before enrolment.

Google Ads

Campaign creation, policies, bidding, assets and reporting.

Google Tag & GTM

Implementation routes, event mapping, testing and handoff.

Google Analytics 4

Event context, traffic quality and cross-channel analysis.

Merchant Center

Product data and Shopping/PMax readiness concepts.

Sheets & templates

Briefs, keyword maps, QA, change logs and stakeholder reports.

Tool names describe the curriculum and do not imply partnership, endorsement or certification.

How practical training works

Brief. Demonstrate. Build. Review. Improve. Present.

Practical work can use approved interfaces, guided workbooks, sanitised exports or simulated data depending on access and budget conditions.

  1. 01Brief

    Clarify the commercial goal and constraints.

  2. 02Demonstrate

    See the concept in a current interface or example.

  3. 03Build

    Create the campaign, map or worksheet.

  4. 04Review

    Use a QA rubric and measurement checks.

  5. 05Improve

    Document the reason for each revision.

  6. 06Present

    Explain evidence, limitations and next actions.

Course fee & inclusions

Google Ads & PPC Foundation

Working details from the content pack. Confirm approved operational details before payment.

Advertising-budget policy

Real spend needs written clarity

Before any live campaign, confirm the account owner, billing party, approved amount, daily cap, learner permissions, supervision, refund treatment and stop conditions.

Advertising spend is not assumed to be included No learner funds an undisclosed campaign No access without owner approval Simulated data is valid practical evidence
Assessment

Evidence across build, measurement and presentation

The weighting below is recommended in the content pack. Final completion rules must be published before enrolment.

Module labs and exercises30%
Four portfolio projects35%
Tracking and measurement work15%
Capstone presentation10%
Professional practice and reflection10%
PARTH SKILLS

Course Completion Certificate

Google Ads & PPC
Foundation

Learner Name
CAMPAIGN BUILDMEASUREMENT MAPCAPSTONE REVIEW

Two different credentialsPARTH SKILLS issues its own course-completion certificate. Google certifications are issued by Google through relevant Skillshop assessment paths.

Career applications

Explain the decisions behind your campaign work

Projects may support entry-level or adjacent responsibilities, but no employment, salary or placement outcome is guaranteed.

PPC ExecutiveGoogle Ads AssociatePaid Search AssistantCampaign OperationsFreelance PPC SupportFounder-led Advertising
Maximum five learners
Trainer transparency

Know who will review your campaign decisions

The assigned trainer’s name, current Google Ads experience, delivery responsibility and substitution policy should be shared during counselling. This prototype does not invent a trainer profile.

  • Ask who reviews campaigns and tracking maps.
  • Confirm the current platform-review process.
  • Understand the feedback and substitution policy.
Classroom training in Jaipur

Visit the PARTH SKILLS centre in Pratap Nagar

See the learning space, compare PPC with Performance Marketing and confirm the current batch before enrolling.

PARTH SKILLS

B77, Gaushala, Pratap Nagar, Sanganer,
Jaipur, Rajasthan 302033

PARTH SKILLSPratap Nagar, Jaipur
Confirm current visiting hours
Before you enrol

Confirm these operating details in writing

01Current batch dates
02Trainer assignment
03Total instructional hours
04Approved fee and tax
05Advertising-budget treatment
06Tool and account access
07Attendance and assessment
08Refund and rescheduling policy
Free course guidance

Get the approved PPC course, fee and batch details

Tell us your starting point. A counsellor can explain the specialist Google Ads route, current practical work and what to verify before payment.

Focused course-fit conversation Clear budget and certificate boundaries Jaipur classroom visit option
“What should be measured before the first rupee is spent?”
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Frequently asked questions

Clear answers before you choose

Bring account, budget, schedule and certification questions to counselling.

Placeholder contact+91 98765 43210

A PPC course teaches how paid advertising campaigns are planned, built, measured and improved. This program focuses deeply on Google Ads and paid search.

No. PPC is a payment model; Google Ads is an advertising platform that supports Search, Display, Video, Shopping, App, Demand Gen and Performance Max campaigns.

Google AdWords was renamed Google Ads. People still use the older name, but the current platform name is Google Ads.

Yes. The course begins with foundations and builds toward applied campaign, measurement and reporting work.

No coding qualification is required. Comfort using a browser and spreadsheet is helpful; tag implementation concepts are taught with appropriate boundaries.

The working course duration is one month. Confirm the current schedule, total hours and holiday plan before enrolment.

The content pack lists a working fee of ₹11,999. The approved current fee, taxes, payment terms and inclusions should be confirmed in counselling.

PARTH SKILLS plans a maximum of five learners per batch, subject to current availability.

Practical work can include approved account demonstrations, learner or business accounts, sanitised exports and simulated data. Real spend occurs only with written ownership, billing, access and budget approval.

Not for every learning activity. If real spend is used, the owner, amount, billing party, control and refund treatment must be confirmed in writing.

Do not assume it is included. The current advertising-budget policy must be confirmed before payment.

Search receives the deepest treatment. Display, Video, Shopping, Demand Gen and Performance Max are introduced in relation to suitable goals and measurement.

This is the Google Ads specialist route. Cross-channel Google and Meta execution belongs to the separate Performance Marketing program.

Yes, at a foundation planning level for conversion mapping, implementation routes, testing and validation.

AI may assist research, keyword organisation, draft variations, QA and reporting summaries. Human review remains mandatory for facts, policies, budgets, privacy and final decisions.

Eligible learners receive a PARTH SKILLS course-completion certificate after meeting the published criteria.

No. Google certifications are issued by Google through relevant Skillshop assessment paths. PARTH SKILLS may provide preparation support but does not issue a Google certificate.

No job, salary, placement, lead, revenue, ROAS or certification outcome is guaranteed. The course develops practical evidence and decision capability.

Your next useful step

Learn to make better advertising decisions—not just click buttons.

Confirm the current Jaipur batch, approved fee, trainer, practical campaign policy and certificate criteria.

GOAL
CLICK
LEARN
Measure → decide → improve