| 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 Digital Marketing Course
This course is targeted at B.Tech, M.Tech, and MCA students, as well as early-career IT professionals who want to delve into the application of AI in digital marketing.
It covers a range of topics from AI-driven content creation to predictive analytics and customer interaction automation. Through a mix of comprehensive video lectures, interactive webinars, hands-on exercises, and group projects, participants will gain a robust understanding of how AI can drive customer engagement and sales in the digital age.
Program Highlights
• Comprehensive coverage of AI in Digital Marketing 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 Digital Marketing
- Overview and historical evolution of AI in Digital Marketing
- 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 Digital Marketing
- 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 Digital Marketing
- 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 Digital Marketing skills
- Peer review, collaborative exercises, and expert feedback
- Portfolio-ready project documentation and presentation
- Final assessment and course completion evaluation
Tools, Techniques, or Platforms Covered
Google Analytics Google Ads SEMrush HubSpot Canva Hootsuite Mailchimp
Real-World Applications
- Apply AI in Digital Marketing skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Digital Marketing competencies
- Solve industry-relevant problems using AI in Digital Marketing methodologies and tools
- Contribute to open-source projects and collaborative research in Digital Marketing
- Prepare for competitive examinations, interviews, and professional certifications in Digital Marketing
Who Should Attend & Prerequisites
- Students pursuing degrees in Digital Marketing, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Digital Marketing roles
- Researchers and academicians looking to adopt modern techniques in Digital Marketing
- Entrepreneurs, freelancers, and self-learners interested in practical Digital Marketing knowledge
Certification
