The AI+ Researcher Certification equips researchers with the skills to integrate Artificial Intelligence (AI) into their work, starting with foundational concepts like Machine Learning (ML) and Deep Learning (DL). The program explores AI's transformative role in market research, scientific discovery, and academic pursuits, enhancing data analysis and fostering innovation across fields. Ethical considerations, such as data privacy and algorithmic bias, are emphasized throughout.
Further, the certification also covers AI's application in research design and methodology, ensuring researchers can incorporate AI effectively into their processes. By blending technical knowledge with an ethical framework, the AI+ Researcher Certification prepares participants to lead in research innovation and stay ahead in their fields.
Prerequisites
- Foundational Knowledge of AI: Some familiarity with the underlying theoretical concepts of AI.
- Openness to AI: Willingness to explore innovative approaches to problem-solving within AI and research contexts.
- Awareness of Ethical Considerations: Readiness to critically engage with ethical dilemmas and considerations related to AI technology in research practices.
- Innovative Mindset: Enthusiasm for discovering new insights and tools by integrating AI technologies with research principles.
Exams
- Number of Questions: 50
- Passing Score: 35/50 or 70%
- Duration: 90 Minutes
- Format: Online via AI Proctoring platform
- Question Type: Multiple Choice/Multiple Response
Exam Overview:
- Introduction to Artificial Intelligence (AI) in Research – 12%
- Getting Started with AI for Data Collection – 12%
- Advanced AI Research Techniques – 14%
- AI in Research Design and Methodology – 14%
- Monetizing AI Research Skills – 12%
- Mastering AI for Data Analysis – 14%
- AI for Ethical Research Practices – 12%
- The Future of AI in Research – 10%