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AI in Digital Marketing
Driving Customer Engagement and Sales
Enroll now for early access of e-LMS
Online/ e-LMS
Self Paced
Advanced
8 weeks
About
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.
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.
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.
Program Structure
- Foundations of AI and Digital Marketing:
-
-
- Introduction to the core principles of artificial intelligence.
- Overview of the digital marketing landscape and the role of AI in enhancing marketing strategies.
-
- AI Tools and Techniques in Marketing:
-
- 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.
-
- Customer Engagement with AI:
-
- Learning to utilize chatbots and virtual assistants to enhance customer interactions.
- Techniques for effective customer segmentation using AI, improving targeting and personalization.
-
- 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.
-
- Ethical Considerations and Future Trends:
-
- 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.
-
- Hands-On Experience and Practical Application:
-
- Engagement in hands-on exercises using AI marketing tools like chatbots and analytics platforms.
- Development of a group project that involves creating and implementing an AI-driven marketing campaign for real-world application.
-
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.
Participant’s Eligibility
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.
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.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Placement Assistance
- Career Workshops: Resume and portfolio development workshops tailored to marketing and technology fields.
- Industry Networking: Opportunities to connect with industry leaders and professionals through webinars and live classes.
- Corporate Partnerships: Collaboration with companies in IT, BFSI, consulting, and Fintech, providing insights and potential career opportunities in AI marketing.
Future Career Prospects
- Digital Marketing Strategist: Specialize in crafting AI-enhanced strategies that optimize customer engagement and increase sales.
- AI Marketing Analyst: Analyze data and implement AI tools to predict customer behaviors and improve marketing effectiveness.
- Content Automation Manager: Oversee the development and deployment of AI-driven content creation tools to personalize customer interactions.
- Customer Experience Designer: Use AI to design and improve the customer journey across digital platforms, enhancing satisfaction and loyalty.
- Digital Marketing Consultant: Provide expert advice on integrating AI into marketing strategies, helping businesses to stay competitive in a rapidly evolving market.
- AI Integration Specialist: Focus on integrating and managing AI technologies within marketing departments to maximize technological investments.
- E-commerce Optimization Specialist: Leverage AI to enhance e-commerce platforms with dynamic pricing, personalized recommendations, and customer retention strategies.
- Data Scientist in Marketing: Develop sophisticated models that use machine learning to extract insights from large datasets to drive marketing decisions.
- Chief Marketing Technology Officer: Lead the technology strategy within marketing departments, focusing on implementing and managing AI solutions.
Current Participants* Analytics
Country
Profession
Affiliation
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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