The Google Ads AI Expertise course empowers marketers, entrepreneurs, and advertising professionals to harness Artificial Intelligence for smarter, more profitable campaigns. Participants will gain a deep understanding of Google’s AI-powered tools—such as Smart Bidding, Responsive Search Ads, Performance Max, and predictive audience insights—and learn how to apply them strategically to maximise reach, conversions, and ROI.
Through practical demonstrations and real-world examples, learners will discover how to use automation effectively, balance AI decision-making with human creativity, and interpret campaign analytics for continuous optimisation. The course also explores audience segmentation, keyword intelligence, ad testing, and ethical AI use in advertising.
By the end of the course, participants will be able to confidently build, manage, and scale data-driven ad strategies that adapt to market changes in real time—transforming digital advertising performance through intelligent automation and advanced analytical insight.
This course is open to learners aged 18 and above with a basic understanding of digital marketing or online advertising. No formal academic qualifications are required. However, familiarity with Google Ads or related platforms is recommended.
Ideal for marketers, entrepreneurs, freelancers, or business professionals seeking to enhance their skills in AI-driven advertising strategy and campaign optimisation.
Course Fee: £100
The course fee includes access to online learning materials, assessments, tutor support and the student learning portal.
Payment Options:
Please contact the admissions team for further information regarding payment arrangements.
Introducing Google Ads with AI
This module introduces learners to the evolution of Google Ads and the transformative role of Artificial Intelligence. It explores how AI revolutionises digital advertising through automation, optimisation, and personalisation—helping marketers reach the right audience with precision and efficiency while maximising campaign performance and return on investment.
Understanding Google Ads with AI
Learners will gain a foundational understanding of how AI is integrated within Google Ads. The module explains the key AI-driven tools, such as Smart Bidding and automated ad placements, and how machine learning analyses large datasets to improve targeting accuracy, ad relevance, and budget efficiency across campaigns.
Getting Started with Google Ads with AI
This module provides step-by-step guidance for setting up AI-powered campaigns. Learners will learn how to configure accounts, define campaign objectives, select bidding strategies, and integrate AI tools to automate processes, enhance performance tracking, and streamline campaign management effectively.
Performance Insights
Learners will explore how AI analyses performance data in real time to provide actionable insights. This module covers key performance indicators, automated reporting, and predictive analytics, helping marketers interpret trends, identify underperforming ads, and make data-informed decisions to continually optimise campaigns.
Audience Targeting and Personalization
This module delves into how AI enables dynamic audience segmentation and personalisation. Learners will understand predictive targeting, lookalike audiences, and user behaviour analysis to create tailored ad experiences that enhance engagement, conversion rates, and customer loyalty.
Ad Creatives and Copywriting
Focusing on creativity enhanced by AI, this module teaches learners how to use machine learning to generate, test, and optimise ad headlines, visuals, and descriptions. It demonstrates how AI tools refine messaging to resonate with audience segments and improve click-through rates.
The Future of Google Ads with AI
Learners will examine emerging trends shaping the future of AI in advertising, such as voice search, predictive marketing, and advanced automation. The module explores how innovation continues to transform Google Ads, offering marketers smarter, faster, and more personalised campaign solutions.
Challenges and Considerations
This module discusses the ethical, technical, and strategic challenges of using AI in advertising. Topics include data privacy, algorithmic bias, dependency on automation, and maintaining creative control while ensuring compliance with digital advertising standards.
How to Use AI in Google Ads
Learners will acquire practical knowledge of integrating AI tools into campaign workflows. This includes configuring Smart Campaigns, Performance Max, and conversion tracking while leveraging machine learning for bid adjustments, audience insights, and performance prediction.
Case Study on Google Ads with AI
Through real-world case studies, learners will analyse successful AI-driven Google Ads campaigns. The module highlights strategies, outcomes, and lessons learned, demonstrating how businesses utilise AI to enhance targeting precision, optimise ad spend, and achieve measurable marketing success.
Upon completion, learners can progress to advanced certifications in Digital Marketing, Marketing Analytics, or Artificial Intelligence for Business. The course provides a strong foundation for roles such as Digital Marketing Strategist, PPC Specialist, and Growth Marketer. It also supports academic advancement into Level 5 or higher diplomas in marketing, data analytics, or business management.
The Google Ads AI Expertise course empowers marketers, entrepreneurs, and advertising professionals to harness Artificial Intelligence for smarter, more profitable campaigns. Participants will gain a deep understanding of Google’s AI-powered tools—such as Smart Bidding, Responsive Search Ads, Performance Max, and predictive audience insights—and learn how to apply them strategically to maximise reach, conversions, and ROI.
Through practical demonstrations and real-world examples, learners will discover how to use automation effectively, balance AI decision-making with human creativity, and interpret campaign analytics for continuous optimisation. The course also explores audience segmentation, keyword intelligence, ad testing, and ethical AI use in advertising.
By the end of the course, participants will be able to confidently build, manage, and scale data-driven ad strategies that adapt to market changes in real time—transforming digital advertising performance through intelligent automation and advanced analytical insight.
This course is open to learners aged 18 and above with a basic understanding of digital marketing or online advertising. No formal academic qualifications are required. However, familiarity with Google Ads or related platforms is recommended.
Ideal for marketers, entrepreneurs, freelancers, or business professionals seeking to enhance their skills in AI-driven advertising strategy and campaign optimisation.
Course Fee: £100
The course fee includes access to online learning materials, assessments, tutor support and the student learning portal.
Payment Options:
Please contact the admissions team for further information regarding payment arrangements.
Introducing Google Ads with AI
This module introduces learners to the evolution of Google Ads and the transformative role of Artificial Intelligence. It explores how AI revolutionises digital advertising through automation, optimisation, and personalisation—helping marketers reach the right audience with precision and efficiency while maximising campaign performance and return on investment.
Understanding Google Ads with AI
Learners will gain a foundational understanding of how AI is integrated within Google Ads. The module explains the key AI-driven tools, such as Smart Bidding and automated ad placements, and how machine learning analyses large datasets to improve targeting accuracy, ad relevance, and budget efficiency across campaigns.
Getting Started with Google Ads with AI
This module provides step-by-step guidance for setting up AI-powered campaigns. Learners will learn how to configure accounts, define campaign objectives, select bidding strategies, and integrate AI tools to automate processes, enhance performance tracking, and streamline campaign management effectively.
Performance Insights
Learners will explore how AI analyses performance data in real time to provide actionable insights. This module covers key performance indicators, automated reporting, and predictive analytics, helping marketers interpret trends, identify underperforming ads, and make data-informed decisions to continually optimise campaigns.
Audience Targeting and Personalization
This module delves into how AI enables dynamic audience segmentation and personalisation. Learners will understand predictive targeting, lookalike audiences, and user behaviour analysis to create tailored ad experiences that enhance engagement, conversion rates, and customer loyalty.
Ad Creatives and Copywriting
Focusing on creativity enhanced by AI, this module teaches learners how to use machine learning to generate, test, and optimise ad headlines, visuals, and descriptions. It demonstrates how AI tools refine messaging to resonate with audience segments and improve click-through rates.
The Future of Google Ads with AI
Learners will examine emerging trends shaping the future of AI in advertising, such as voice search, predictive marketing, and advanced automation. The module explores how innovation continues to transform Google Ads, offering marketers smarter, faster, and more personalised campaign solutions.
Challenges and Considerations
This module discusses the ethical, technical, and strategic challenges of using AI in advertising. Topics include data privacy, algorithmic bias, dependency on automation, and maintaining creative control while ensuring compliance with digital advertising standards.
How to Use AI in Google Ads
Learners will acquire practical knowledge of integrating AI tools into campaign workflows. This includes configuring Smart Campaigns, Performance Max, and conversion tracking while leveraging machine learning for bid adjustments, audience insights, and performance prediction.
Case Study on Google Ads with AI
Through real-world case studies, learners will analyse successful AI-driven Google Ads campaigns. The module highlights strategies, outcomes, and lessons learned, demonstrating how businesses utilise AI to enhance targeting precision, optimise ad spend, and achieve measurable marketing success.
Upon completion, learners can progress to advanced certifications in Digital Marketing, Marketing Analytics, or Artificial Intelligence for Business. The course provides a strong foundation for roles such as Digital Marketing Strategist, PPC Specialist, and Growth Marketer. It also supports academic advancement into Level 5 or higher diplomas in marketing, data analytics, or business management.
Want to receive push notifications for all major on-site activities?
