AI in Social Media Analysis
AI in Social Media Analysis is a intermediate-level, 3 Weeks online course by NSTC. Master key concepts and practical skills in Digital Marketing through hands-on projects, real-world case studies, and expert mentorship.
- ModeOnline (e-LMS)
- LevelIntermediate
- Duration3 Weeks
- Fee₹4,249
| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹4249 / $56 |
| Tools | Google Analytics Google Ads SEMrush HubSpot Canva Hootsuite Mailchimp |
About the AI in Social Media Analysis Course
Participants will explore how AI tools like natural language processing (NLP) and machine learning can be applied to social media data.
The program covers techniques for understanding sentiment, detecting trends, predicting virality, and creating strategies for social media optimization.
Program Highlights
• Comprehensive coverage of AI in Social Media Analysis from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Digital Marketing
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Digital Marketing
• Career-oriented training for academic and professional growth in Digital Marketing
Course Curriculum
Module 1: Introduction to AI in Social Media Analysis
- Overview and historical evolution of AI in Social Media Analysis
- Key terminology, definitions, and core concepts in Digital Marketing
- Current industry landscape, trends, and career opportunities
- Setting up the learning environment and essential tools
Module 2: Fundamentals and Theoretical Foundations
- Core principles and scientific/theoretical underpinnings of AI in Social Media Analysis
- Mathematical and analytical frameworks relevant to Digital Marketing
- Comparative analysis of major approaches and methodologies
- Understanding key standards, guidelines, and best practices
Module 3: SEO/SEM
- Introduction to SEO/SEM concepts and methodologies
- Step-by-step practical implementation of SEO/SEM techniques
- Tools and platforms commonly used for SEO/SEM
- Troubleshooting, optimization, and best practices
Module 4: Social Media Marketing
- Introduction to Social Media Marketing concepts and methodologies
- Step-by-step practical implementation of Social Media Marketing techniques
- Tools and platforms commonly used for Social Media Marketing
- Troubleshooting, optimization, and best practices
Module 5: Content Strategy
- Introduction to Content Strategy concepts and methodologies
- Step-by-step practical implementation of Content Strategy techniques
- Tools and platforms commonly used for Content Strategy
- Troubleshooting, optimization, and best practices
Module 6: Advanced Topics and Emerging Trends in Digital Marketing
- Cutting-edge research and innovations in AI in Social Media Analysis
- Integration with AI, automation, and modern technologies
- Industry case studies and real-world problem solving
- Future directions and career pathways in Digital Marketing
Module 7: Capstone Project and Assessment
- End-to-end project implementation using AI in Social Media Analysis skills
- Peer review, collaborative exercises, and expert feedback
- Portfolio-ready project documentation and presentation
- Final assessment and course completion evaluation
