Certified Specialist Programme in AI in Digital Advertising
-- viewing nowThe Artificial Intelligence in Digital Advertising (AIDA) programme is designed for marketing professionals seeking to upskill in AI-driven advertising strategies. Developed for digital marketing specialists, this programme equips learners with the skills to create and execute AI-powered ad campaigns, enhancing their understanding of machine learning, data analysis, and campaign optimization.
2,673+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through a combination of lectures, case studies, and hands-on projects, participants will gain expertise in AI-driven advertising, including machine learning algorithms, data visualization, and personalization techniques.
Join the AIDA programme to stay ahead in the rapidly evolving digital advertising landscape and unlock new opportunities for your career.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Machine Learning Fundamentals: This unit covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It is essential for understanding the core concepts of AI in digital advertising. •
Deep Learning for Advertising: This unit delves into the world of deep learning, focusing on its applications in digital advertising, such as image and speech recognition, natural language processing, and recommender systems. Primary keyword: Deep Learning, Secondary keywords: AI in Advertising, Digital Advertising. •
Natural Language Processing (NLP) for Advertising: This unit explores the use of NLP in digital advertising, including text analysis, sentiment analysis, and chatbots. It is crucial for understanding how to leverage NLP in advertising campaigns. Primary keyword: NLP, Secondary keywords: AI in Advertising, Digital Marketing. •
Predictive Analytics for Advertising: This unit covers the use of predictive analytics in digital advertising, including regression, decision trees, and random forests. It is essential for understanding how to use data to inform advertising decisions. Primary keyword: Predictive Analytics, Secondary keywords: Data-Driven Advertising, Digital Advertising. •
Computer Vision for Advertising: This unit explores the use of computer vision in digital advertising, including image recognition, object detection, and facial recognition. It is crucial for understanding how to leverage computer vision in advertising campaigns. Primary keyword: Computer Vision, Secondary keywords: AI in Advertising, Digital Advertising. •
Reinforcement Learning for Advertising: This unit delves into the world of reinforcement learning, focusing on its applications in digital advertising, such as personalized recommendations and ad optimization. Primary keyword: Reinforcement Learning, Secondary keywords: AI in Advertising, Digital Advertising. •
Ad Targeting and Personalization: This unit covers the use of targeting and personalization in digital advertising, including demographic targeting, behavioral targeting, and lookalike targeting. It is essential for understanding how to use data to target specific audiences. Primary keyword: Ad Targeting, Secondary keywords: Personalization, Digital Advertising. •
Ad Optimization and Measurement: This unit explores the use of optimization and measurement in digital advertising, including A/B testing, conversion tracking, and ROI analysis. It is crucial for understanding how to measure the effectiveness of advertising campaigns. Primary keyword: Ad Optimization, Secondary keywords: Digital Advertising, Marketing Measurement. •
AI Ethics and Governance: This unit covers the ethical and governance aspects of AI in digital advertising, including data privacy, bias, and transparency. It is essential for understanding the social implications of AI in advertising. Primary keyword: AI Ethics, Secondary keywords: Digital Advertising, Marketing Governance. •
AI in Emerging Channels: This unit explores the use of AI in emerging channels, including voice assistants, augmented reality, and virtual reality. It is crucial for understanding how to leverage AI in new and innovative ways. Primary keyword: AI in Emerging Channels, Secondary keywords: Digital Advertising, Marketing Innovation.
Machine Learning Fundamentals: This unit covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It is essential for understanding the core concepts of AI in digital advertising. •
Deep Learning for Advertising: This unit delves into the world of deep learning, focusing on its applications in digital advertising, such as image and speech recognition, natural language processing, and recommender systems. Primary keyword: Deep Learning, Secondary keywords: AI in Advertising, Digital Advertising. •
Natural Language Processing (NLP) for Advertising: This unit explores the use of NLP in digital advertising, including text analysis, sentiment analysis, and chatbots. It is crucial for understanding how to leverage NLP in advertising campaigns. Primary keyword: NLP, Secondary keywords: AI in Advertising, Digital Marketing. •
Predictive Analytics for Advertising: This unit covers the use of predictive analytics in digital advertising, including regression, decision trees, and random forests. It is essential for understanding how to use data to inform advertising decisions. Primary keyword: Predictive Analytics, Secondary keywords: Data-Driven Advertising, Digital Advertising. •
Computer Vision for Advertising: This unit explores the use of computer vision in digital advertising, including image recognition, object detection, and facial recognition. It is crucial for understanding how to leverage computer vision in advertising campaigns. Primary keyword: Computer Vision, Secondary keywords: AI in Advertising, Digital Advertising. •
Reinforcement Learning for Advertising: This unit delves into the world of reinforcement learning, focusing on its applications in digital advertising, such as personalized recommendations and ad optimization. Primary keyword: Reinforcement Learning, Secondary keywords: AI in Advertising, Digital Advertising. •
Ad Targeting and Personalization: This unit covers the use of targeting and personalization in digital advertising, including demographic targeting, behavioral targeting, and lookalike targeting. It is essential for understanding how to use data to target specific audiences. Primary keyword: Ad Targeting, Secondary keywords: Personalization, Digital Advertising. •
Ad Optimization and Measurement: This unit explores the use of optimization and measurement in digital advertising, including A/B testing, conversion tracking, and ROI analysis. It is crucial for understanding how to measure the effectiveness of advertising campaigns. Primary keyword: Ad Optimization, Secondary keywords: Digital Advertising, Marketing Measurement. •
AI Ethics and Governance: This unit covers the ethical and governance aspects of AI in digital advertising, including data privacy, bias, and transparency. It is essential for understanding the social implications of AI in advertising. Primary keyword: AI Ethics, Secondary keywords: Digital Advertising, Marketing Governance. •
AI in Emerging Channels: This unit explores the use of AI in emerging channels, including voice assistants, augmented reality, and virtual reality. It is crucial for understanding how to leverage AI in new and innovative ways. Primary keyword: AI in Emerging Channels, Secondary keywords: Digital Advertising, Marketing Innovation.
Career path
**Career Roles in AI in Digital Advertising**
| Role | Description | Industry Relevance |
|---|---|---|
| AI/ML Engineer | Designs and develops intelligent systems that can learn from data, making predictions and decisions. | Relevant to digital advertising as it enables personalization and targeted ads. |
| Data Scientist | Analyzes and interprets complex data to gain insights and make informed decisions. | Essential in digital advertising as it helps in data-driven decision making. |
| Digital Marketing Specialist | Develops and implements digital marketing campaigns to reach target audiences. | Relevant to AI in digital advertising as it involves understanding audience behavior and preferences. |
| Business Intelligence Developer | Designs and develops business intelligence solutions to support data-driven decision making. | Important in digital advertising as it helps in tracking campaign performance and ROI. |
| Web Developer | Develops and maintains websites and web applications. | Relevant to AI in digital advertising as it involves understanding user experience and interface design. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Skills you'll gain
Artificial Intelligence
Digital Advertising
Data Analysis
Predictive Modeling
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFIED SPECIALIST PROGRAMME IN AI IN DIGITAL ADVERTISING
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
