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Advanced Al Applications in Marketing and Public Relations

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5 STUDENTS

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The digital marketing and public relations landscape is no longer just influenced by artificial intelligence—it’s being actively reshaped by it. From dynamic content personalisation to AI-driven campaign forecasting, this course dives into the evolving role of intelligent technologies in engaging customers, mapping journeys, and analysing data like never before. Marketing departments and PR teams worldwide are discovering the sheer scale of insights and efficiency AI can bring to their strategies—and now, so can you.

With a robust focus on AI tools, predictive analytics, sentiment analysis, influencer targeting, and even augmented reality campaigns, this course connects the dots between data science and audience impact. Whether you’re exploring customer segmentation or fine-tuning email marketing campaigns through automation, you’ll gain a working knowledge of AI’s ever-growing influence across multiple digital marketing touchpoints.

  • Accredited by CPD
  • Instant e-certificate and hard copy dispatch by next working day
  • Fully online, interactive course with audio voiceover
  • Self-paced learning and laptop, tablet, smartphone-friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Sneak Peek

Understanding Sentiment Analysis Voice Search Trends in Marketing AI Algorithms for Dynamic Pricing Automation in Email Campaigns

Learning Outcomes

  • Understand the functions of AI in digital marketing strategy development.
  • Analyse customer behaviour using AI-powered segmentation and personalisation.
  • Explore sentiment analysis and AI tools for brand monitoring and PR.
  • Identify patterns through predictive analytics to inform marketing decisions.
  • Apply AI solutions to content creation, SEO, and campaign optimisation.
  • Evaluate AI-driven performance metrics across marketing and PR channels.

Who is this Course For

  • Marketing professionals looking to enhance strategies with AI tools.
  • PR managers aiming to monitor brand sentiment and public perception.
  • Digital advertisers interested in dynamic ad placement and automation.
  • SEO specialists seeking AI support in keyword and content analysis.
  • Content creators exploring AI for design and natural language generation.
  • Email marketers focused on automation and behavioural targeting.
  • Social media managers analysing engagement through AI-generated insights.
  • Business owners keen on applying data-driven decision-making strategies.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Accreditation

All of our courses, including this Advanced Al Applications in Marketing and Public Relations, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.

Career Path

  • AI Marketing Analyst – Average Salary: £45,000 per year
  • Digital Marketing Manager – Average Salary: £50,000 per year
  • PR and Communications Strategist – Average Salary: £48,000 per year
  • SEO & Content Specialist – Average Salary: £42,000 per year
  • Social Media Intelligence Analyst – Average Salary: £40,000 per year
  • Customer Insights Manager – Average Salary: £52,000 per year

Course Curriculum

The detailed curriculum outline of our Advanced Al Applications in Marketing and Public Relations is as follows:

  •  Unit 1: AI enables highly personalized marketing through data analytics and understanding 
  •  Unit 2: Role of AI in Public Relations 
  •  Unit 3: AI Impact on Customer Engagement 
  •  Unit 4: Benefits of AI in Marketing Analysis 
  •  Unit 5: Real-World AI Marketing Examples 
  •  Unit 6: Fundamentals of Data Analysis 
  •  Unit 7: Data Mining for Marketing Insights 
  •  Unit 8: Predictive Analytics in Marketing 
  •  Unit 9: Segmentation Strategies using Data 
  •  Unit 10: Case Studies on Data-Driven Marketing 
  •  Unit 11: Personalization in Marketing 
  •  Unit 12: AI-driven Customer Segmentation 
  •  Unit 13: Dynamic Content Personalization 
  •  Unit 14: Hyper-Personalization Techniques 
  •  Unit 15: Examples of Successful Personalization Campaigns 
  •  Unit 16: Understanding Sentiment Analysis 
  •  Unit 17: Using AI for Brand Monitoring 
  •  Unit 18: Sentiment Analysis Tools and Metrics 
  •  Unit 19: Resolving Negative Sentiments 
  •  Unit 20: Case Studies on Brand Perception Management 
  •  Unit 21: Role of Influencers in Marketing 
  •  Unit 22: AI for Influencer Identification 
  •  Unit 23: Measuring Influencer Impact 
  •  Unit 24: AI Strategies for Influencer Campaigns 
  •  Unit 25: Influencer Marketing Success Stories 
  •  Unit 26: Content Creation in the AI Era 
  •  Unit 27: Natural Language Generation Tools 
  •  Unit 28: AI in Copywriting and Design 
  •  Unit 29: Content Optimization with AI 
  •  Unit 30: Real-Life Examples of AI Content Generation 
  •  Unit 31: Voice Search Trends in Marketing 
  •  Unit 32: Implementing AI in Voice Search SEO 
  •  Unit 33: Voice Search Analytics and Metrics 
  •  Unit 34: Optimizing Content for Voice 
  •  Unit 35: Case Studies on Successful Voice Search Campaigns 
  •  Unit 36: Understanding Customer Journey Mapping 
  •  Unit 37: AI Algorithms for Mapping Customer Paths 
  •  Unit 38: Personalized Customer Journeys 
  •  Unit 39: AI Automation in Customer Journey Optimization 
  •  Unit 40: Customer Journey Mapping Case Studies 
  •  Unit 41: Predictive Modeling in Marketing 
  •  Unit 42: AI for Customer Lifetime Value Prediction 
  •  Unit 43: Forecasting Marketing Trends with AI 
  •  Unit 44: Enhancing Campaign ROI with Predictive Analytics 
  •  Unit 45: Case Studies on Predictive Analytics in Marketing 
  •  Unit 46: Dynamic Pricing Basics 
  •  Unit 47: AI Algorithms for Dynamic Pricing 
  •  Unit 48: Personalized Pricing Models 
  •  Unit 49: AI-driven Price Optimization 
  •  Unit 50: Dynamic Pricing Success Stories 
  •  Unit 51: Social Media Trends 
  •  Unit 52: Social Listening with AI 
  •  Unit 53: AI-generated Social Media Content 
  •  Unit 54: AI for Social Media Advertising 
  •  Unit 55: Social Media Marketing Case Studies with AI 
  •  Unit 56: Email Marketing Best Practices 
  •  Unit 57: AI-driven Email Personalization 
  •  Unit 58: Automation in Email Campaigns 
  •  Unit 59: Email Marketing Analytics with AI 
  •  Unit 60: Successful Email Marketing Strategies using AI 
  •  Unit 61: Understanding Customer Churn 
  •  Unit 62: AI Models for Churn Prediction 
  •  Unit 63: Reducing Churn Rates with AI 
  •  Unit 64: Customer Retention Strategies using AI 
  •  Unit 65: Case Studies on Customer Churn Prediction 
  •  Unit 66: AR Marketing Fundamentals 
  •  Unit 67: AI Technology in Augmented Reality 
  •  Unit 68: Personalized AR Experiences 
  •  Unit 69: AR Campaign Measurement with AI 
  •  Unit 70: Real-Life Examples of AR Marketing Integration 
  •  Unit 71: Reputation Monitoring with AI 
  •  Unit 72: Crisis Management Strategies with AI 
  •  Unit 73: Brand Sentiment Analysis 
  •  Unit 74: AI Tools for Reputation Monitoring 
  •  Unit 75: Case Studies on Brand Reputation Management with AI 
  •  Unit 76: SEO Fundamentals 
  •  Unit 77: AI-Based Keyword Research 
  •  Unit 78: Content Optimization for AI 
  •  Unit 79: Machine Learning in SEO 
  •  Unit 80: SEO Successes with AI Implementation 
  •  Unit 81: Chatbots in Customer Service 
  •  Unit 82: AI-driven Chatbot Development 
  •  Unit 83: Enhancing Customer Experience with Chatbots 
  •  Unit 84: Chatbot Data Analysis 
  •  Unit 85: Chatbot Case Studies in Customer Engagement 
  •  Unit 86: AI in Programmatic Advertising 
  •  Unit 87: Hyper-targeting Strategies 
  •  Unit 88: AI Algorithms for Ad Personalization 
  •  Unit 89: Dynamic Ad Placement with AI 
  •  Unit 90: Success Stories of Hyper-targeted Advertising 
  •  Unit 91: AI for Event Promotion 
  •  Unit 92: Personalized Event Experiences 
  •  Unit 93: Data-driven Event Planning 
  •  Unit 94: Automation in Event Management 
  •  Unit 95: Events Enhanced by AI Technologies 
  •  Unit 96: Emerging Trends in AI for Marketing 
  •  Unit 97: AI Ethical Considerations in PR 
  •  Unit 98: Integration of AI into Marketing Strategies 
  •  Unit 99: AI ROI in Marketing and Public Relations 
  •  Unit 100: Final Thoughts on AI Advancements in Marketing and PR 

Course Curriculum

Advanced Al Applications in Marketing and Public Relations
Unit 1: AI enables highly personalized marketing through data analytics and understanding 00:03:00
Unit 2: Role of AI in Public Relations 00:04:00
Unit 3: AI Impact on Customer Engagement 00:03:00
Unit 4: Benefits of AI in Marketing Analysis 00:03:00
Unit 5: Real-World AI Marketing Examples 00:03:00
Unit 6: Fundamentals of Data Analysis 00:04:00
Unit 7: Data Mining for Marketing Insights 00:03:00
Unit 8: Predictive Analytics in Marketing 00:03:00
Unit 9: Segmentation Strategies using Data 00:03:00
Unit 10: Case Studies on Data-Driven Marketing 00:03:00
Unit 11: Personalization in Marketing 00:03:00
Unit 12: AI-driven Customer Segmentation 00:03:00
Unit 13: Dynamic Content Personalization 00:03:00
Unit 14: Hyper-Personalization Techniques 00:03:00
Unit 15: Examples of Successful Personalization Campaigns 00:03:00
Unit 16: Understanding Sentiment Analysis 00:03:00
Unit 17: Using AI for Brand Monitoring 00:03:00
Unit 18: Sentiment Analysis Tools and Metrics 00:03:00
Unit 19: Resolving Negative Sentiments 00:03:00
Unit 20: Case Studies on Brand Perception Management 00:04:00
Unit 21: Role of Influencers in Marketing 00:03:00
Unit 22: AI for Influencer Identification 00:03:00
Unit 23: Measuring Influencer Impact 00:03:00
Unit 24: AI Strategies for Influencer Campaigns 00:03:00
Unit 25: Influencer Marketing Success Stories 00:04:00
Unit 26: Content Creation in the AI Era 00:03:00
Unit 27: Natural Language Generation Tools 00:03:00
Unit 28: AI in Copywriting and Design 00:03:00
Unit 29: Content Optimization with AI 00:04:00
Unit 30: Real-Life Examples of AI Content Generation 00:03:00
Unit 31: Voice Search Trends in Marketing 00:03:00
Unit 32: Implementing AI in Voice Search SEO 00:03:00
Unit 33: Voice Search Analytics and Metrics 00:03:00
Unit 34: Optimizing Content for Voice 00:03:00
Unit 35: Case Studies on Successful Voice Search Campaigns 00:03:00
Unit 36: Understanding Customer Journey Mapping 00:03:00
Unit 37: AI Algorithms for Mapping Customer Paths 00:03:00
Unit 38: Personalized Customer Journeys 00:03:00
Unit 39: AI Automation in Customer Journey Optimization 00:03:00
Unit 40: Customer Journey Mapping Case Studies 00:03:00
Unit 41: Predictive Modeling in Marketing 00:03:00
Unit 42: AI for Customer Lifetime Value Prediction 00:03:00
Unit 43: Forecasting Marketing Trends with AI 00:03:00
Unit 44: Enhancing Campaign ROI with Predictive Analytics 00:03:00
Unit 45: Case Studies on Predictive Analytics in Marketing 00:04:00
Unit 46: Dynamic Pricing Basics 00:03:00
Unit 47: AI Algorithms for Dynamic Pricing 00:03:00
Unit 48: Personalized Pricing Models 00:03:00
Unit 49: AI-driven Price Optimization 00:03:00
Unit 50: Dynamic Pricing Success Stories 00:03:00
Unit 51: Social Media Trends 00:03:00
Unit 52: Social Listening with AI 00:03:00
Unit 53: AI-generated Social Media Content 00:03:00
Unit 54: AI for Social Media Advertising 00:03:00
Unit 55: Social Media Marketing Case Studies with AI 00:04:00
Unit 56: Email Marketing Best Practices 00:03:00
Unit 57: AI-driven Email Personalization 00:03:00
Unit 58: Automation in Email Campaigns 00:03:00
Unit 59: Email Marketing Analytics with AI 00:03:00
Unit 60: Successful Email Marketing Strategies using AI 00:03:00
Unit 61: Understanding Customer Churn 00:03:00
Unit 62: AI Models for Churn Prediction 00:03:00
Unit 63: Reducing Churn Rates with AI 00:03:00
Unit 64: Customer Retention Strategies using AI 00:03:00
Unit 65: Case Studies on Customer Churn Prediction 00:03:00
Unit 66: AR Marketing Fundamentals 00:03:00
Unit 67: AI Technology in Augmented Reality 00:04:00
Unit 68: Personalized AR Experiences 00:04:00
Unit 69: AR Campaign Measurement with AI 00:03:00
Unit 70: Real-Life Examples of AR Marketing Integration 00:04:00
Unit 71: Reputation Monitoring with AI 00:03:00
Unit 72: Crisis Management Strategies with AI 00:03:00
Unit 73: Brand Sentiment Analysis 00:03:00
Unit 74: AI Tools for Reputation Monitoring 00:03:00
Unit 75: Case Studies on Brand Reputation Management with AI 00:03:00
Unit 76: SEO Fundamentals 00:03:00
Unit 77: AI-Based Keyword Research 00:03:00
Unit 78: Content Optimization for AI 00:03:00
Unit 79: Machine Learning in SEO 00:03:00
Unit 80: SEO Successes with AI Implementation 00:03:00
Unit 81: Chatbots in Customer Service 00:03:00
Unit 82: AI-driven Chatbot Development 00:03:00
Unit 83: Enhancing Customer Experience with Chatbots 00:03:00
Unit 84: Chatbot Data Analysis 00:03:00
Unit 85: Chatbot Case Studies in Customer Engagement 00:03:00
Unit 86: AI in Programmatic Advertising 00:03:00
Unit 87: Hyper-targeting Strategies 00:03:00
Unit 88: AI Algorithms for Ad Personalization 00:04:00
Unit 89: Dynamic Ad Placement with AI 00:03:00
Unit 90: Success Stories of Hyper-targeted Advertising 00:03:00
Unit 91: AI for Event Promotion 00:03:00
Unit 92: Personalized Event Experiences 00:03:00
Unit 93: Data-driven Event Planning 00:03:00
Unit 94: Automation in Event Management 00:04:00
Unit 95: Events Enhanced by AI Technologies 00:03:00
Unit 96: Emerging Trends in AI for Marketing 00:03:00
Unit 97: AI Ethical Considerations in PR 00:03:00
Unit 98: Integration of AI into Marketing Strategies 00:04:00
Unit 99: AI ROI in Marketing and Public Relations 00:04:00
Unit 100: Final Thoughts on AI Advancements in Marketing and PR 00:03:00
Advanced Al Applications in Marketing and Public Relations
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