Certificate Programme in AI-driven Social Listening
-- viewing nowAi-driven Social Listening is a powerful tool for businesses to understand their audience's needs and preferences. This Certificate Programme is designed for marketing professionals and social media managers who want to harness the power of social media listening to inform their strategies.
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About this course
Through this programme, you'll learn how to analyze social media conversations, identify trends and sentiment, and use this data to improve customer engagement and brand reputation.
Gain hands-on experience with social media listening tools and techniques, and develop a deeper understanding of how to measure and optimize your social media campaigns.
Take the first step towards becoming a social media listening expert and start your journey today!
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Course details
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Natural Language Processing (NLP) Fundamentals: This unit covers the essential concepts of NLP, including text preprocessing, sentiment analysis, and entity extraction, which are crucial for AI-driven social listening. •
Social Media Analytics: This unit focuses on the analysis of social media data, including metrics such as engagement rates, follower growth, and content performance, to understand audience behavior and preferences. •
Machine Learning for Social Media: This unit introduces machine learning algorithms and techniques, such as supervised and unsupervised learning, clustering, and decision trees, to analyze and make predictions from social media data. •
AI-driven Sentiment Analysis: This unit delves into the application of AI and machine learning algorithms to analyze sentiment and emotions expressed in social media posts, tweets, and reviews. •
Entity Recognition and Extraction: This unit covers the techniques and tools used to identify and extract specific entities, such as names, locations, and organizations, from unstructured social media data. •
Social Media Listening Tools and Platforms: This unit explores the various social media listening tools and platforms, including Hootsuite, Sprout Social, and Brandwatch, to monitor and analyze social media conversations. •
AI-driven Social Media Marketing: This unit focuses on the application of AI and machine learning algorithms to optimize social media marketing campaigns, including content creation, ad targeting, and lead generation. •
Social Media Crisis Management: This unit covers the strategies and techniques for managing social media crises, including crisis communication, reputation management, and employee engagement. •
Data Visualization for Social Media Insights: This unit introduces data visualization techniques and tools to present complex social media data in an intuitive and actionable way, enabling data-driven decision-making. •
Ethics and Governance in AI-driven Social Listening: This unit explores the ethical considerations and governance frameworks for AI-driven social listening, including data privacy, bias, and transparency.
Natural Language Processing (NLP) Fundamentals: This unit covers the essential concepts of NLP, including text preprocessing, sentiment analysis, and entity extraction, which are crucial for AI-driven social listening. •
Social Media Analytics: This unit focuses on the analysis of social media data, including metrics such as engagement rates, follower growth, and content performance, to understand audience behavior and preferences. •
Machine Learning for Social Media: This unit introduces machine learning algorithms and techniques, such as supervised and unsupervised learning, clustering, and decision trees, to analyze and make predictions from social media data. •
AI-driven Sentiment Analysis: This unit delves into the application of AI and machine learning algorithms to analyze sentiment and emotions expressed in social media posts, tweets, and reviews. •
Entity Recognition and Extraction: This unit covers the techniques and tools used to identify and extract specific entities, such as names, locations, and organizations, from unstructured social media data. •
Social Media Listening Tools and Platforms: This unit explores the various social media listening tools and platforms, including Hootsuite, Sprout Social, and Brandwatch, to monitor and analyze social media conversations. •
AI-driven Social Media Marketing: This unit focuses on the application of AI and machine learning algorithms to optimize social media marketing campaigns, including content creation, ad targeting, and lead generation. •
Social Media Crisis Management: This unit covers the strategies and techniques for managing social media crises, including crisis communication, reputation management, and employee engagement. •
Data Visualization for Social Media Insights: This unit introduces data visualization techniques and tools to present complex social media data in an intuitive and actionable way, enabling data-driven decision-making. •
Ethics and Governance in AI-driven Social Listening: This unit explores the ethical considerations and governance frameworks for AI-driven social listening, including data privacy, bias, and transparency.
Career path
Career Roles in AI-driven Social Listening
Job Market Trends in AI-driven Social Listening
| Role | Description |
|---|---|
| Ai/ML Engineer | Designs and develops AI and machine learning models to analyze social media data and provide insights to businesses. |
| Data Scientist | Analyzes and interprets complex data from social media platforms to identify trends and patterns. |
| Business Analyst | Works with businesses to understand their social media needs and develops strategies to improve their online presence. |
| Digital Marketing Specialist | Develops and implements digital marketing campaigns that utilize social media data to reach target audiences. |
| Social Media Manager | Manages social media accounts for businesses, creating and scheduling posts, and monitoring engagement metrics. |
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.
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CERTIFICATE PROGRAMME IN AI-DRIVEN SOCIAL LISTENING
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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
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