Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI in Social Media Analysis shows how machine learning makes sense of the vast, messy stream of online conversation. You learn to apply AI to core tasks: sentiment and emotion detection, trend and topic discovery, classifying and moderating content, and analysing the networks through which information — and misinformation — spreads. The course connects these to real uses in brand, research and public communication, and to the ethics of studying online behaviour. You finish able to apply AI to a social-media analysis question responsibly. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers AI for social media analysis — sentiment and trend detection, network analysis, content classification and understanding online behaviour at scale.
📋 Course Objectives
1. Detect sentiment, emotion and trends at scale.
2. Discover topics and emerging narratives.
3. Classify and moderate online content.
4. Analyse networks and information spread.
5. Apply ethics to social-data analysis.
👥 Who Should Enroll?
• Marketing, comms and brand professionals
• Social and computational-science researchers
• Data scientists working with text
• Students of social analytics
🚀 Key Learning Outcomes
• The ability to analyse social media with AI.
• A trend- or sentiment-analysis project.
• An ethics-aware social-data approach.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Module 1 — Foundations of Social Media Analytics
Social media ecosystems and platform dynamics • Key performance indicators and engagement metrics • Audience behavior and content interaction basics • Introduction to data-driven social media strategy
Module 2 — AI for Customer Insights
Customer behavior analysis through AI • Segmentation and audience profiling • Sentiment and response interpretation • Identifying user needs and preferences from social data
Module 3 — AI for Marketing and Campaign Analysis
AI in campaign performance evaluation • Predicting engagement and reach patterns • Content recommendation and targeting strategies • Measuring effectiveness across marketing objectives
Module 4 — Machine Learning for Social Media
Supervised and unsupervised learning concepts • Classification and clustering for audience analysis • Trend detection and anomaly recognition • Forecasting engagement and campaign outcomes
Module 5 — AI in Digital Marketing
Personalization and automated marketing intelligence • Social listening and competitive monitoring • Brand perception and market response analysis • AI-assisted decision-making for digital campaigns
Module 6 — AI Tools for Social Media
Tools for scheduling, monitoring, and analytics • Dashboards and reporting platforms • AI-assisted content analysis workflows • Automation for performance tracking and insights
Module 7 — Strategy, Ethics, and Interpretation
Responsible use of AI in social media • Bias, privacy, and platform-related concerns • Interpreting data in context • Turning analytics into strategy and action
Module 8 — Applied Projects and Case Studies
Social media campaign analysis projects • Customer insight and segmentation exercises • Sentiment and trend detection case studies • Final project on AI-driven social media strategy
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | AI for Customer Insights |
| Covered Tool / Platform | AI for Marketing |
| Covered Tool / Platform | AI in Digital Marketing |
| Covered Tool / Platform | AI Tools for Social Media |
| Covered Tool / Platform | Machine Learning for Social Media |
| Covered Tool / Platform | Social Listening Workflows |
Frequently Asked Questions
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