AI and Data Analytics in Public Relations Training Course

Course overview

Public relations has long struggled to prove its impact. AI and analytics change that: media can be monitored continuously, sentiment tracked in real time, campaigns measured against real engagement, and reputational risks spotted before they become crises. This course shows PR professionals how to use these tools to work with evidence rather than instinct.

Participants examine AI's role in communication, media monitoring and sentiment analysis, and data-driven campaign evaluation. The course then covers predictive insight and audience targeting and closes on AI in content, the ethics of AI-driven communication, and building lasting data capability in PR teams.

Why this matters

PR budgets are questioned when impact cannot be shown, and reputational threats now spread faster than manual monitoring can catch them. Analytics answers both problems: proving value and providing early warning. Professionals who can measure and predict give communications a seat at the strategy table, work that pairs with the measurement focus of the Advanced PR Measurement and Performance Analytics course.

What you will be able to do afterwards

By the end of the course, participants will be able to:

• Explain how AI and data are changing public relations.
• Use AI media monitoring and sentiment analysis.
• Measure campaign impact with KPIs and attribution.
• Apply predictive analytics to audience targeting and crisis warning.
• Address the ethics of AI-driven communication.

Course outline

Unit 1: AI and analytics in PR

The unit sets out the shift in communications.

• Understanding AI and data in communication.
• The evolution of PR measurement and technology.
• Key tools shaping PR analytics today.
• Case studies of AI in public relations.

Unit 2: Media monitoring and sentiment analysis

Participants examine listening at scale.

• AI-driven media scanning tools.
• Real-time sentiment and reputation tracking.
• Identifying and analyzing media narratives.
• Worked examples on monitoring platforms.

Unit 3: Data-driven campaign evaluation

The unit covers proving impact.

• Designing KPIs for PR campaigns.
• Using analytics to measure engagement and impact.
• Attribution models in communications.
• Creating performance dashboards.

Unit 4: Predictive insight and audience targeting

Participants study looking forward.

• Using predictive analytics for PR planning.
• AI-assisted audience segmentation.
• Influencer mapping and impact analysis.
• Anticipating crises with AI models.

Unit 5: The future of AI and data in PR

The closing unit looks ahead responsibly.

• AI in storytelling and content personalization.
• Emerging technologies shaping PR innovation.
• Ethical considerations in AI-driven communication.
• Building long-term data capability in PR teams.

How the course is delivered

The course combines structured teaching with PR cases, worked examples, and guided analysis of monitoring and measurement platforms. Participants reason through applying analytics to real communications decisions, so the methods transfer to their own work. No technical background is required.

Who should attend

The course suits PR and communications professionals, corporate affairs and reputation managers, marketing and social media staff, and agency practitioners. No technical background is assumed.

About EuroQuest International Training

EuroQuest International Training is an international training provider founded in 2015, with a catalog of more than 1,000 courses delivered to over 15,000 participants. Headquartered in Bratislava, EuroQuest runs courses across a network of European and regional training hubs and focuses on practical, current, and professionally relevant content.

Frequently asked questions

Can AI really predict a communications crisis?

It can detect the early signals, shifts in sentiment, spreading narratives, unusual activity, far faster than manual monitoring. It does not predict with certainty, but it buys time to respond, which is often decisive.

Do I need technical skills?

No. The course is written for communications professionals and focuses on using monitoring and analytics platforms and interpreting their output, not on building them.

Does it address the ethics of AI in communication?

Yes. AI-driven personalization and content raise real questions about manipulation and transparency, and the course treats these as part of practicing communications responsibly.

Related courses

• Social Media Data Analytics and Brand Insights
• Crisis Management in Digital Marketing
• Hyper-Personalization in Marketing
• AI Ethics and Responsible Data Use

Register for this course

To reserve a place or request an in-house session for your team, contact EuroQuest International Training and our team will help you confirm dates and details.