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Google Ads Course with AI Tools | DigitalRaw Academy
DIGITALRAW ACADEMY · PRACTICAL TRAINING

Google Ads Course with AI Tools

Learn to plan, launch, optimize and measure Google Ads campaigns with hands-on practice and AI-assisted workflows—from keyword research to conversion tracking and performance reporting.

✓ Practical campaign setup ✓ AI-assisted ad creation ✓ Tracking & reporting ✓ Real-world projects

Course details, batch schedule and fees can be confirmed with the academy.

Campaign performance overview
CONVERSION VALUE / PERFORMANCE
Measure what matters
↑ Improve with testing & optimization
Search intentKeywordsFind relevant demand
Campaign goalConversionsTrack valuable actions
AI WORKFLOW Plan · Create · Test
Search AdsCapture active demand
YouTube & DisplayBuild reach and awareness
AI WorkflowsSpeed up campaign tasks
AnalyticsMeasure campaign outcomes
Learn by doing

Build the skills to manage Google Ads campaigns

Understand the strategy behind campaigns, practice the setup process and learn how to make decisions using performance data.

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Keyword & audience planning

Research search intent, organize keywords and map them to relevant landing pages and campaign goals.

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AI-assisted ad creation

Use AI tools to brainstorm headlines, descriptions, creative angles and testing ideas—then review them for accuracy.

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Conversion tracking

Learn the basics of conversion actions, Google Tag Manager, GA4 and lead tracking quality checks.

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Budget & bidding

Understand campaign budgets, bidding strategies, search terms and practical optimization decisions.

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Multiple campaign formats

Explore Search, Display, YouTube, Performance Max and remarketing concepts.

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Reporting & optimization

Read key metrics, identify wasted spend and create a clear optimization plan for the next cycle.

Course curriculum

Google Ads course modules

Open each module to view the topics covered. The curriculum can be adapted to your learning goals and current Google Ads interface.

01 Google Ads Fundamentals
  • How Google Ads auction and ad rank work
  • Account structure: account, campaign, ad group and ads
  • Goals, objectives and campaign planning
02 Keyword Research & Search Intent
  • Keyword Planner and search intent research
  • Keyword grouping, match types and negative keywords
  • Competitor research and search terms review
03 Search Campaign Setup
  • Campaign settings, locations, language and schedules
  • Responsive search ads, assets and ad relevance
  • Landing page alignment and quality signals
04 Display & YouTube Ads
  • Display campaign objectives and creative formats
  • YouTube video campaign concepts and audience signals
  • Placement exclusions, brand safety and reach metrics
05 Performance Max & Remarketing
  • Performance Max fundamentals and asset groups
  • Creative assets, audience signals and feed concepts
  • Remarketing principles and audience privacy considerations
06 Bidding, Budget & Optimization
  • Manual and automated bidding concepts
  • Budget allocation, pacing and cost controls
  • Search term analysis, experiments and optimization routine
07 AI Tools for Google Ads
  • ChatGPT and Gemini for campaign briefs and keyword clustering
  • AI-assisted ad copy variations and creative concepts
  • Prompt frameworks, fact-checking and policy-safe review
  • Use AI as an assistant—not a substitute for campaign data or human review
08 Conversion Tracking & Analytics
  • Conversion actions, calls, forms and lead events
  • Google Tag Manager and GA4 fundamentals
  • Attribution concepts, tag testing and conversion troubleshooting
09 Landing Pages & Lead Quality
  • Message match, CTA placement and mobile usability
  • Lead forms, call tracking concepts and CRM handoff
  • Lead quality checks and conversion rate improvement ideas
10 Reporting & Client Communication
  • CTR, CPC, CPA, conversion rate and ROAS concepts
  • Dashboards, campaign summaries and insights
  • Monthly reporting and next-step recommendations
11 Google Ads Policies & Troubleshooting
  • Ad and destination policy fundamentals
  • Disapprovals, billing checks and limited serving diagnostics
  • Responsible targeting, privacy and consent basics
12 Practical Campaign Project
  • Build a sample campaign plan for a chosen business
  • Prepare keyword list, ad assets and landing page recommendations
  • Create a tracking checklist and optimization report
AI-powered productivity

AI tools you can learn to use

Use these tools to support research, drafting, analysis and creative workflows. Availability and features may vary by account and plan.

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ChatGPT

Generate campaign briefs, ad copy options, keyword themes and reporting summaries.

Copy & strategy
✦

Google Gemini

Assist with research, brainstorming, content variations and campaign planning.

Research support
⌕

Google Keyword Planner

Explore keyword ideas, estimated search demand and planning signals.

Keyword planning
▤

Google Analytics 4

Understand website events, user journeys and campaign traffic quality.

Measurement
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Google Tag Manager

Learn tag organization and testing workflows for supported tracking setups.

Tracking
▥

Looker Studio

Build clear visual reports from connected marketing data sources.

Dashboards
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Google Ads Recommendations

Review account suggestions critically and evaluate them against campaign goals.

Optimization
✎

AI Creative Workflows

Plan creative angles and asset variations, then check them against brand and policy rules.

Creative testing
Portfolio-ready practice

Projects to apply your learning

Practice the planning and measurement process using a sample business or a suitable real-world brief.

Project 01

Lead Generation Campaign

Plan a Search campaign for a service business, including keywords, ad assets, location settings and lead tracking checklist.

Project 02

YouTube & Display Plan

Develop an awareness campaign outline with audience ideas, creative requirements, placements and measurement goals.

Project 03

AI Campaign Workflow

Use AI to draft ad variations and a report outline, then validate claims, policy compliance and data-based decisions.

Ready to learn Google Ads?

Ask DigitalRaw Academy about the course syllabus, practical sessions, available batches and fees.

Get Course Details →
Questions & answers

Frequently asked questions

Do I need prior Google Ads experience?

The curriculum starts with fundamentals and progresses to campaign planning, tracking and optimization. Basic computer and internet skills are helpful.

Will AI tools be part of the course?

Yes. The curriculum includes AI-assisted research, ad copy ideation, creative planning and reporting workflows, with human review for accuracy and policy compliance.

Will I learn conversion tracking?

The course covers conversion actions, GA4 and Google Tag Manager fundamentals, plus a checklist for testing and troubleshooting tracking setups.

Are course fees and batch timings shown here?

No. Contact the academy to confirm current fees, duration, schedule and batch availability.

Does the course guarantee campaign results or a job?

No campaign outcome or job is guaranteed. Results depend on factors such as budget, offer, market demand, website quality, implementation and ongoing optimization.

Course enquiry

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