Mentor Based
AI in Digital Marketing
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Course Overview
Program Syllabus
Module 1
About This 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.
Module 2
Aim
The course aims to equip participants with advanced knowledge and practical skills in utilizing artificial intelligence to transform digital marketing. The course focuses on employing AI-driven tools for targeted marketing, content personalization, and customer journey optimization, preparing students and professionals to implement innovative, data-driven marketing strategies.
Module 3
Program Objectives
- Master AI Applications: Understand and apply AI tools in various aspects of digital marketing, including content creation, customer segmentation, and sales strategies.
- Enhance Analytical Skills: Develop skills in predictive analytics and data-driven decision-making to optimize marketing efforts.
- Practical Implementation: Gain hands-on experience with real AI marketing tools to prepare for direct application in the industry.
- Navigate Ethical Considerations: Explore the ethical implications of using AI in digital marketing to ensure responsible practice.
- Prepare for Industry Challenges: Equip with the necessary skills and knowledge to tackle current and future challenges in digital marketing with AI technologies.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Digital Marketing
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 4
Program Structure
- Foundations of AI and Digital Marketing:
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- Introduction to the core principles of artificial intelligence.
- Overview of the digital marketing landscape and the role of AI in enhancing marketing strategies.
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- AI Tools and Techniques in Marketing:
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- Exploration of AI-driven tools for content creation, including automated content generation and personalization.
- Understanding and application of predictive analytics to gauge customer behavior and preferences.
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- Customer Engagement with AI:
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- Learning to utilize chatbots and virtual assistants to enhance customer interactions.
- Techniques for effective customer segmentation using AI, improving targeting and personalization.
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- AI in E-commerce and Sales:
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- Application of AI in dynamic pricing strategies and sales optimization.
- Use of AI to personalize recommendations and improve customer retention in e-commerce settings.
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- Ethical Considerations and Future Trends:
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- Discussion of the ethical implications of using AI in digital marketing.
- Examination of emerging trends and future directions in AI that could impact digital marketing.
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By the end of the course, participants will not only have a robust understanding of how AI can be leveraged to transform various aspects of digital marketing but also possess the practical skills to apply these technologies effectively to drive engagement and sales.
Module 5
Who Should Enrol?
This course is specifically designed for:
- Students:
- B.Tech, M.Tech, and MCA students specializing in IT and Computer Science. The course is suitable for those who have a foundational understanding of both fields and are looking to apply this knowledge to the realm of digital marketing.
- Early Career Professionals:
- E0 & E1 level professionals in IT services, BFSI (Banking, Financial Services, and Insurance), consulting, and Fintech services. This course is ideal for professionals who are involved in or interested in the integration of AI technologies within marketing strategies.
Module 6
Program Outcomes
- Mastery of AI and Digital Marketing Concepts: Understand the fundamental and advanced concepts of AI and how they are applied in digital marketing, including targeting, personalization, and customer journey optimization.
- Practical Skills Development: Gain hands-on experience designing and implementing AI-driven tools and strategies in digital marketing through interactive labs, projects, and simulations.
- Problem-Solving Abilities: Enhance problem-solving skills by addressing real-world digital marketing challenges and creating innovative solutions with AI technologies.
- Industry Readiness: Be prepared for the workforce with up-to-date knowledge and skills that are highly sought after in the digital marketing industry.
- Professional Networking: Build connections with industry professionals, instructors, and peers that can lead to future career opportunities and collaborations.
- Research and Development Skills: Develop the ability to conduct rigorous research and contribute new knowledge or innovations in the field of AI in digital marketing.
- Certification and Recognition: Earn a prestigious certificate of completion that validates the expertise gained and stand out in job markets; plus, the opportunity for outstanding work to be formally recognized.
- Strategic Insight: Acquire strategic insights into integrating AI technologies with digital marketing systems to drive business efficiency and innovation.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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