| Educational Qualification | 12 pass Physics, chemistry and maths |
| Academic Requirements | Min 45% (Physics, chemistry and maths) |
| Entrance Exams | Qualifying In Entrance Exams Such As JEE Main, JEE Advanced, BITSAT, Or State-Level Engineering Entrance Exams, Depending On The Country And Institution. |
| Age Limit | 17-25 Years. |
| Nationality | Indian |
Our vision is to empower BTech students, nurturing them into innovative and socially responsible leaders within the dynamic technological landscape. They will be equipped to drive positive change and make meaningful contributions to the advancement of society.
The scope for BTech students transcends conventional bounds of technical education, encompassing a vast array of opportunities and challenges crucial for their holistic development. This includes both personal and professional growth, enabling them to navigate diverse spheres with confidence and competence.
| Eligibility Criteria | Details |
|---|---|
| Educational Qualification | Bachelor’s degree in any discipline (preferred) |
| However, candidates with equivalent work experience or relevant certifications may also be considered | |
| Work Experience | No specific work experience required, but familiarity with digital marketing concepts is beneficial |
| Candidates with prior experience in marketing, advertising, or related fields may have an advantage | |
| Technical Skills | Basic understanding of digital marketing principles and practices |
| Familiarity with AI concepts or programming languages (e.g., Python) is a plus |
Our vision is to empower BTech students, nurturing them into innovative and socially responsible leaders within the dynamic technological landscape. They will be equipped to drive positive change and make meaningful contributions to the advancement of society.
The scope for BTech students transcends conventional bounds of technical education, encompassing a vast array of opportunities and challenges crucial for their holistic development. This includes both personal and professional growth, enabling them to navigate diverse spheres with confidence and competence.
This certification course provides participants with a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of digital marketing. Through a combination of theoretical knowledge and hands-on practical exercises, students will learn how to leverage AI technologies to optimize marketing strategies, enhance customer engagement, and drive business growth.
| Module | Subjects Covered |
|---|---|
| Introduction to AI | – Fundamentals of artificial intelligence |
| – Applications of AI in digital marketing | |
| – Ethical considerations and implications | |
| – AI tools and technologies overview | |
| Data Analytics for Marketing | – Data collection, cleaning, and preprocessing |
| – Descriptive and predictive analytics | |
| – Customer segmentation and targeting | |
| – Marketing campaign optimization | |
| Machine Learning Basics | – Introduction to machine learning |
| – Supervised, unsupervised, and reinforcement learning | |
| – Feature engineering and selection | |
| – Model evaluation and validation | |
| Natural Language Processing | – Basics of natural language processing (NLP) |
| – Sentiment analysis | |
| – Text classification and clustering | |
| – Content generation using NLP | |
| Image Recognition | – Introduction to computer vision |
| – Image classification and object detection | |
| – Image segmentation and feature extraction | |
| – Use cases in visual marketing | |
| AI-Powered Marketing Tools | – AI-driven marketing automation platforms |
| – Chatbots and conversational AI | |
| – Predictive analytics tools | |
| – Personalization and recommendation engines | |
| Ethics and Privacy | – Data privacy regulations and compliance |
| – Ethical considerations in AI-driven marketing | |
| – Bias and fairness in AI algorithms | |
| – Transparency and accountability | |
| Case Studies and Projects | – Real-world case studies |
| – Hands-on projects applying AI in digital marketing | |
| – Group discussions and presentations |
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