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Advanced Al Applications in Marketing and Public Relations
Training Express Ltd

Updated 2025 | 100 Modules Instructor Lead Video Classes | FREE CPD Certificate | 10 CPD Points | Lifetime Access

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
5.3 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
Certificates
  • Digital certificate - Free - Free
  • Hard copy certificate - Free - Free
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

Overview

This course explores how Artificial Intelligence (AI) is transforming marketing and public relations. It begins with personalized marketing and AI's impact on customer engagement and data analysis. Learners explore real-world examples of data-driven marketing, segmentation, and predictive analytics. The course covers sentiment analysis, brand monitoring, influencer strategies, and AI-driven content creation. Topics like voice search, customer journey mapping, dynamic pricing, and churn prediction are explored in detail. Learners also study AI in social media, email marketing, AR marketing, SEO, and chatbot applications. Reputation monitoring, programmatic advertising, event promotion, and emerging AI trends are included. The final modules discuss AI’s integration into marketing strategies, ethical considerations, ROI measurement, and the future of AI in marketing and PR.

Learning Outcomes:

  • Understand AI in Marketing Personalization and Customer Engagement
  • Apply Data Mining and Predictive Analytics in Marketing Decisions
  • Use Sentiment Analysis for Brand Monitoring and Crisis Management
  • Leverage AI in Influencer, Email, and Social Media Campaigns
  • Utilize AI Tools for Dynamic Pricing and Voice Search Optimization
  • Analyze Customer Journey and Churn using AI Techniques

Learners will understand AI's role in personalizing marketing content and predicting customer behavior. They will explore data analysis techniques, sentiment tracking, and influencer impact through AI tools. The course teaches AI’s application in SEO, chatbots, social media, and dynamic pricing. It also covers how AI supports customer retention, AR marketing, and brand reputation monitoring.

Key Features:

  • Accredited by CPD
  • Top-notch video lessons
  • Instant e-certificate
  • Entirely online, interactive course with audio voiceover
  • Self-paced learning and laptop, tablet, and smartphone-friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Certificates

Digital certificate - Free

Digital certificate - Included

Hard copy certificate - Free

Hard copy certificate - Included

Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).
For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.
Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

1
section
103
lectures
5h 21m
total
    • 1: Intro Preview 01:04
    • 2: 1_AI enables highly personalized marketing through data analytics and understand 03:00
    • 3: 2_Role of AI in Public Relations 03:44
    • 4: 3_AI Impact on Customer Engagement 03:12
    • 5: 4_Benefits of AI in Marketing Analysis 03:25
    • 6: 5_Real-World AI Marketing Examples 03:20
    • 7: 6_Fundamentals of Data Analysis 03:38
    • 8: 7_Data Mining for Marketing Insights 03:07
    • 9: 8_Predictive Analytics in Marketing 03:08
    • 10: 9_Segmentation Strategies using Data 03:00
    • 11: 10_Case Studies on Data-Driven Marketing 03:03
    • 12: 11_Personalization in Marketing 03:21
    • 13: 12_AI-driven Customer Segmentation 02:52
    • 14: 13_Dynamic Content Personalization 03:14
    • 15: 14_Hyper-Personalization Techniques 02:45
    • 16: 15_Examples of Successful Personalization Campaigns 03:12
    • 17: 16_Understanding Sentiment Analysis 03:08
    • 18: 17_Using AI for Brand Monitoring 03:10
    • 19: 18_Sentiment Analysis Tools and Metrics 03:13
    • 20: 19_Resolving Negative Sentiments 03:25
    • 21: 20_Case Studies on Brand Perception Management 03:30
    • 22: 21_Role of Influencers in Marketing 03:01
    • 23: 22_AI for Influencer Identification 02:51
    • 24: 23_Measuring Influencer Impact 03:09
    • 25: 24_AI Strategies for Influencer Campaigns 03:05
    • 26: 25_Influencer Marketing Success Stories 03:32
    • 27: 26_Content Creation in the AI Era 03:07
    • 28: 27_Natural Language Generation Tools 02:48
    • 29: 28_AI in Copywriting and Design 03:08
    • 30: 29_Content Optimization with AI 03:41
    • 31: 30_Real-Life Examples of AI Content Generation 02:55
    • 32: 31_Voice Search Trends in Marketing 03:05
    • 33: 32_Implementing AI in Voice Search SEO 03:00
    • 34: 33_Voice Search Analytics and Metrics 03:08
    • 35: 34_Optimizing Content for Voice 03:06
    • 36: 35_Case Studies on Successful Voice Search Campaigns 03:03
    • 37: 36_Understanding Customer Journey Mapping 03:06
    • 38: 37_AI Algorithms for Mapping Customer Paths 02:44
    • 39: 38_Personalized Customer Journeys 03:17
    • 40: 39_AI Automation in Customer Journey Optimization 03:14
    • 41: 40_Customer Journey Mapping Case Studies 03:16
    • 42: 41_Predictive Modeling in Marketing 02:51
    • 43: 42_AI for Customer Lifetime Value Prediction 02:49
    • 44: 43_Forecasting Marketing Trends with AI 02:57
    • 45: 44_Enhancing Campaign ROI with Predictive Analytics 03:28
    • 46: 45_Case Studies on Predictive Analytics in Marketing 03:49
    • 47: 46_Dynamic Pricing Basics 02:44
    • 48: 47_AI Algorithms for Dynamic Pricing 02:51
    • 49: 48_Personalized Pricing Models 02:47
    • 50: 49_AI-driven Price Optimization 03:17
    • 51: 50_Dynamic Pricing Success Stories 03:20
    • 52: 51_Social Media Trends 02:58
    • 53: 52_Social Listening with AI 03:02
    • 54: 53_AI-generated Social Media Content 03:15
    • 55: 54_AI for Social Media Advertising 03:26
    • 56: 55_Social Media Marketing Case Studies with AI 03:30
    • 57: 56_Email Marketing Best Practices 03:10
    • 58: 57_AI-driven Email Personalization 03:13
    • 59: 58_Automation in Email Campaigns 03:12
    • 60: 59_Email Marketing Analytics with AI 02:55
    • 61: 60_Successful Email Marketing Strategies using AI 03:23
    • 62: 61_Understanding Customer Churn 02:52
    • 63: 62_AI Models for Churn Prediction 03:09
    • 64: 63_Reducing Churn Rates with AI 03:08
    • 65: 64_Customer Retention Strategies using AI 03:15
    • 66: 65_Case Studies on Customer Churn Prediction 03:15
    • 67: 66_AR Marketing Fundamentals 03:06
    • 68: 67_AI Technology in Augmented Reality 03:42
    • 69: 68_Personalized AR Experiences 03:30
    • 70: 69_AR Campaign Measurement with AI 03:14
    • 71: 70_Real-Life Examples of AR Marketing Integration 03:31
    • 72: 71_Reputation Monitoring with AI 02:57
    • 73: 72_Crisis Management Strategies with AI 03:12
    • 74: 73_Brand Sentiment Analysis 03:08
    • 75: 74_AI Tools for Reputation Monitoring 03:00
    • 76: 75_Case Studies on Brand Reputation Management with AI 03:25
    • 77: 76_SEO Fundamentals 03:01
    • 78: 77_AI-Based Keyword Research 02:50
    • 79: 78_Content Optimization for AI 03:18
    • 80: 79_Machine Learning in SEO 02:56
    • 81: 80_SEO Successes with AI Implementation 03:14
    • 82: 81_Chatbots in Customer Service 03:14
    • 83: 82_AI-driven Chatbot Development 02:42
    • 84: 83_Enhancing Customer Experience with Chatbots 03:01
    • 85: 84_Chatbot Data Analysis 03:07
    • 86: 85_Chatbot Case Studies in Customer Engagement 03:20
    • 87: 86_AI in Programmatic Advertising 03:18
    • 88: 87_Hyper-targeting Strategies 02:53
    • 89: 88_AI Algorithms for Ad Personalization 03:39
    • 90: 89_Dynamic Ad Placement with AI 03:08
    • 91: 90_Success Stories of Hyper-targeted Advertising 03:02
    • 92: 91_AI for Event Promotion 03:09
    • 93: 92_Personalized Event Experiences 03:13
    • 94: 93_Data-driven Event Planning 03:22
    • 95: 94_Automation in Event Management 03:35
    • 96: 95_Events Enhanced by AI Technologies 02:54
    • 97: 96_Emerging Trends in AI for Marketing 03:16
    • 98: 97_AI Ethical Considerations in PR 03:11
    • 99: 98_Integration of AI into Marketing Strategies 03:48
    • 100: 99_AI ROI in Marketing and Public Relations 03:40
    • 101: 100_Final Thoughts on AI Advancements in Marketing and PR 02:54
    • 102: Leave a Review 01:00
    • 103: CPD Certificate 01:00

Course media

Description

This comprehensive AI in Marketing and Public Relations course begins by establishing the foundational role of AI in personalizing marketing, analyzing customer behavior, and optimizing interactions. It explores the synergy between customer engagement and experience, alongside the fundamental principles of data analysis and mining for actionable marketing insights. Predictive analytics and data-driven segmentation strategies are examined, illustrated by real-world case studies.

The curriculum delves into advanced personalization techniques, including AI-driven customer segmentation and dynamic content delivery. Sentiment analysis and AI tools for brand monitoring are covered, equipping learners to manage brand perception effectively. The course further explores the impact of influencer marketing, leveraging AI for identification and campaign management. It addresses the evolving landscape of content creation with AI-powered natural language generation and optimization tools.

Emerging trends like voice search marketing and the application of AI in optimizing for it are discussed. Learners will understand customer journey mapping through AI algorithms and the creation of personalized journeys. Predictive modeling for customer lifetime value and campaign ROI enhancement is a key focus. The course also covers dynamic pricing strategies powered by AI, social media marketing with AI-generated content and advertising, and AI-driven email personalization and automation.

Crucial aspects like customer churn prediction and reduction using AI are addressed, alongside innovative applications of Augmented Reality (AR) in marketing. The curriculum includes AI for reputation monitoring and crisis management, as well as its role in Search Engine Optimization (SEO). The power of AI chatbots in customer service and programmatic advertising for hyper-targeting are explored. Finally, the course touches upon AI in event promotion, ethical considerations in AI for PR, the integration of AI into overall marketing strategies, measuring AI ROI, and future trends shaping the industry.

Who is this course for?

  • Marketing managers looking to use AI for campaigns

  • PR specialists seeking advanced AI integration

  • Data analysts entering marketing and PR roles

  • Business owners improving customer engagement with AI

  • Content creators exploring AI-driven strategies

Career path

  • Digital Marketing Analyst

  • AI Marketing Strategist

  • PR Data Analyst

  • Customer Engagement Manager

  • Brand Sentiment Analyst

  • SEO and Content Optimization Specialist

Questions and answers

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2026. All rights reserved.