AI-Driven Google Ads Mastery

Course Outline:

Module 1: Introduction to Google Ads
➡ What is Google Ads & why it matters
➡ Auction system & how ads are shown
➡ Google Ads account structure (Account → Campaign → Ad Group → Ads)
➡ Campaign types overview: Search, Display, Video, Shopping, Performance Max, DemandGen
➡ Account setup, billing & policies
➡ Google Ads Account Access & Security

Module 2: Campaign Setup Fundamentals
➡ Creating your first campaign (step-by-step)
➡ Understanding campaign objectives (Sales, Leads, Traffic, Awareness, etc.)
➡ Location, language, ad schedule, and bidding basics
➡ Configuring alerts, announcements & notifications

Module 3: Keywords & Targeting
➡ Keyword research (Google Keyword Planner, SEMrush, AI tools)
➡ Match types: Broad, Phrase, Exact, Negative keywords
➡ Search Intent mapping (Transactional, Informational, Navigational)
➡ Audience targeting: In-Market, Affinity, Custom Segments, Remarketing
➡ Geographic & demographic targeting strategies
➡ Device-specific targeting (mobile, desktop, tablet)

Module 4: Ad Copy & Creative
➡ Structure of a high-converting search ad (Headlines, Descriptions, Paths)
➡ Responsive Search Ads (RSA) vs Expanded Text Ads (ETA)
➡ AI-assisted copywriting & creative generation
➡ Display ad design best practices
➡ Video ads & YouTube targeting strategies
➡ Ad policies & disapproval fixes

Module 5: Bidding & Budget Optimization
➡ Manual CPC vs Automated bidding strategies (Maximize Conversions, Target CPA, ROAS)
➡ Smart Bidding: How Google’s AI optimizes bids
➡ Shared budgets vs individual budgets
➡ Setting daily vs monthly budgets strategically
➡ When to let AI control vs when to override

Module 6: Display & Video Campaigns
➡ Plan & create a Display Network Campaign (Standard, Smart, Gmail Ads)
➡ Targeting by audience, keywords, topics, demographics, placements
➡ Responsive Display Ads with generative AI
➡ Video Ads: skippable, non-skippable, bumper, in-feed, shorts & ad sequencing
➡ YouTube Ads: AI in targeting & placement optimization

Module 7: Remarketing & Predictive Audiences
➡ Understanding Google Tag Manager for remarketing
➡ Setting up remarketing code (browser + server-side)
➡ Developing remarketing audiences with Google Analytics
➡ Display & dynamic remarketing best practices
➡ AI-based predictive audiences (likely to purchase, churn, or convert)
➡ Cross-device & cross-channel remarketing (Google + Facebook)

Module 8: Conversion Tracking & Analytics
➡ Google Ads Conversion tracking setup
➡ Google Tag Manager (GTM) integration
➡ Enhanced Conversions setup (browser + server-side)
➡ Google Analytics 4 (GA4) integration
➡ GA4 predictive metrics (churn probability, purchase probability, revenue prediction)
➡ Key metrics: CTR, CPC, CVR, CPA, ROAS, Impression Share

Module 9: Campaign Optimization & Scaling
➡ Quality Score: CTR, Ad Relevance, Landing Page Experience
➡ Ad extensions: Sitelinks, Callouts, Snippets, Call extensions
➡ A/B Testing (ads, landing pages, CTAs)
➡ Budget scaling strategies (horizontal vs vertical scaling)
➡ Automating campaigns with AI rules & scripts
➡ Performance Max deep dive: when & how to use it

Module 10: Advanced Strategies
➡ Dynamic Search Ads (DSA) & Broad Match + Smart Bidding
➡ Shopping Ads & Merchant Center setup
➡ Competitor targeting strategies
➡ Customer Match using CRM data
➡ Generative AI for assets (text, images, video)
➡ Conversational Experience in Google Ads (AI-powered setup)

Module 11: Reporting & Automation
➡ Custom dashboards in Google Ads
➡ Automated rules, scheduling & performance alerts
➡ Google Data Studio (Looker Studio) reporting setup
➡ AI-powered attribution modeling (data-driven attribution)
➡ Using ChatGPT & AI tools for campaign audits
➡ AI for ad fraud prevention & invalid click detection

Module 12: Case Studies & Real-Life Applications
➡ Case study: eCommerce (ROAS-focused campaigns)
➡ Case study: Service business (Lead-gen campaigns)
➡ Case study: Local business (Maps + Local campaigns)
➡ Case study: AI-driven lead generation vs eCommerce scaling
➡ Case study: Predictive audiences & remarketing success
➡ Mistakes beginners make & how to avoid them

Module 13: Career & Earning with Google Ads
➡ How to earn as a Google Ads & AI-driven PPC expert
➡ Selling Google Ads services as a freelancer/agency
➡ Fiverr & Upwork profile optimization + GIG creation
➡ Building a portfolio with case studies & reports
➡ Future career scope: AI-driven PPC & privacy-first marketing