Google Ads AI Expertise
Google Ads AI Expertise
Course Fee: £100
About This Course
The Google Ads AI Expertise course is designed to help marketers, entrepreneurs and advertising professionals use Artificial Intelligence to improve the performance of Google Ads campaigns. Learners explore AI-powered tools such as Smart Bidding, Responsive Search Ads, Performance Max and predictive audience insights, with a focus on reach, conversions and return on investment.
Through practical demonstrations and real-world examples, the course examines automation, campaign analytics, audience segmentation, keyword intelligence, ad testing and ethical AI use in advertising. Learners develop the knowledge needed to build, manage and optimise data-driven advertising strategies while balancing automated decision-making with human creativity.
Am I eligible for this programme?
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.
Familiarity with Google Ads or related platforms is recommended. It is suitable for marketers, entrepreneurs, freelancers and business professionals seeking to strengthen their skills in AI-driven advertising and campaign optimisation.
Course Fees
The fee for enrolling onto this course is £100.
Module Listing
1. Introducing Google Ads with AI
Introduces the evolution of Google Ads and the role of Artificial Intelligence in digital advertising. Learners explore automation, optimisation and personalisation and how these can support audience targeting and campaign performance.
2. Understanding Google Ads with AI
Explains how AI is integrated into Google Ads through tools such as Smart Bidding and automated ad placements. Learners examine how machine learning uses campaign data to improve targeting, relevance and budget efficiency.
3. Getting Started with Google Ads with AI
Provides practical guidance on setting up AI-powered campaigns. Learners explore account configuration, campaign objectives, bidding strategies and the use of AI tools to automate processes and improve campaign management.
4. Performance Insights
Focuses on AI-supported performance analysis, including key performance indicators, automated reporting and predictive analytics. Learners explore how to interpret campaign trends and identify opportunities for optimisation.
5. Audience Targeting and Personalization
Examines dynamic audience segmentation, predictive targeting, lookalike audiences and user behaviour analysis. Learners consider how AI can support more relevant advertising experiences and improved engagement.
6. Ad Creatives and Copywriting
Explores the use of AI to generate, test and optimise ad headlines, descriptions and visual concepts. Learners examine how machine learning can help refine messaging for different audience segments.
7. The Future of Google Ads with AI
Introduces emerging developments in AI-driven advertising, including voice search, predictive marketing and advanced automation. Learners consider how these trends may shape future Google Ads strategies.
8. Challenges and Considerations
Explores ethical, technical and strategic issues associated with AI in advertising, including data privacy, algorithmic bias, over-reliance on automation and maintaining appropriate creative and professional control.
9. How to Use AI in Google Ads
Develops practical understanding of incorporating AI tools into campaign workflows, including Smart Campaigns, Performance Max, conversion tracking, bid adjustments, audience insights and performance prediction.
10. Case Study on Google Ads with AI
Uses real-world case studies to examine how organisations apply AI in Google Ads campaigns. Learners analyse strategies, outcomes and lessons relating to targeting, ad spend and measurable marketing performance.
Assignment listing
No written assignments are required for Google Ads AI Expertise.
University Progression
Upon completion, learners can progress to advanced certifications or further study in Digital Marketing, Marketing Analytics or Artificial Intelligence for Business.
The course can also support progression towards Level 5 or higher diplomas in marketing, data analytics or business management. Admission to any particular qualification remains subject to the requirements of the receiving institution.