Attribute

Detail

Format

Online (e-LMS)

Level

Intermediate

Duration

3 weeks

Certification

e-Certification + e-Marksheet

Tools

Google Analytics, Google Ads, SEMrush, HubSpot, Canva, Hootsuite

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

Prerequisites: Some familiarity with basic concepts in Digital Marketing will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.

Frequently Asked Questions

1. What is the format of this AI in Digital Marketing course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of Digital Marketing concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 3 weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Digital Marketing. Our mentors are industry experts and experienced professionals.

Enroll in AI in Digital Marketing today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Digital Marketing skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	3 weeks
Level	Intermediate
Domain
Hands-On	Yes – Practical projects with industrial datasets
Tools Used

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