AI+ Researcher™
The AI+ Researcher certification is a comprehensive program aimed at equipping scholars and researchers with the requisite tools and knowledge to leverage artificial intelligence (AI) effectively in their respective fields. Commencing with an Introduction to AI for Researchers, the course establishes a robust understanding of fundamental concepts and methodologies. Subsequent modules delve into specific applications such as Market Research, where AI driven analytics reshape consumer insights, and Scientific Discovery, enabling breakthroughs from vast datasets. Additionally, it covers AI’s role in Academic and Scholarly Research, enhancing productivity and dissemination strategies. The curriculum further encompasses AI integration into Research Design and Methodology, emphasizing ethical considerations throughout. Culminating with a glimpse into future trends, the course ensures participants are prepared to navigate and contribute to the dynamic realm of AI-enabled research, fostering innovation across diverse domains.
Fee structure:
Self-Learning Mode:
Each certificate: INR: 19,999
(online videos access + practice tests) – 4 weeks
On-line Instructure led training:
Certificate: INR: 29,999
(online videos access + practice tests) – 4 weeks
Objectives
Data Preprocessing and Management
Develop skills in cleaning, organizing, and augmenting datasets to improve the quality and reliability of AI-driven research.
Machine Learning Model Development
Gain expertise in designing, training, and evaluating machine learning models tailored to specific research problems.
Advanced Statistical Analysis
Apply advanced statistical techniques to interpret AI-generated data, ensuring robust and valid research conclusions.
AI-Enhanced Scholarly Publishing
Proficiency in using AI tools to improve the scholarly publishing process.
Prerequisites
- A foundational understanding of AI concepts, no technical skills are required.
- Openness to exploring unconventional approaches to problem-solving within the context of AI and research.
- Enthusiastic about uncovering new insights and tools that arise from combining AI technologies with research principles.
- Willingness to engage critically with ethical dilemmas and considerations related to AI technology in research practices
