AI Business
AI+ Researcher
This Certification equips scholars with AI tools for advanced research and learning AI applications in market research, scientific discovery, and academic studies. Gain expertise in AI-driven research design, ethics, and future trends.
1 Day (8 hours)

Targeted Audience
AI Experiential Research Specialist
AI Researcher
AI Development Researcher
AI Academic Advisor
Prerequisites for Success
-
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

Modules | 8
Examination | 1
Passing Score | 70%
COURSE AGENDA
Module 1: Introduction to Artificial Intelligence (AI) for Researchers
1.1 Understanding AI, Machine Learning, and Deep Learning
1.2 Overview of AI Tools and Technologies
1.3 AI’s Impact on Research
Module 2: AI in Market Research
2.1 Introduction to AI in Market Research
2.2 Audience Analysis and Persona Creation Using AI
2.3 Using AI for Branding and Marketing Insights
Module 3: Leveraging AI for Scientific Discovery
3.1 AI in Data Science and Analysis
3.2 Machine Learning Models in Scientific Research
3.3 AI for Drug Discovery and Advanced Research
Module 4: AI for Academic and Scholarly Research
4.1 Integrating AI into Academic Workflows
4.2 Ethical Considerations in Academic AI Use
4.3 AI Tools for Enhancing Academic Research and Writing
Module 5: Enhancing Research with AI Tools
5.1 AI for Qualitative and Quantitative Research
5.2 AI Tools for Data Visualization and Analysis
5.3 Case Studies of AI in Research
Module 6: AI for Research Design and Methodology
6.1 Innovating Research Design with AI
6.2 AI in Survey Design and Implementation
6.3 Operational Efficiency and AI
Module 7: Ethical and Responsible Use of AI in Research
7.1 Ethical Considerations in AI Research
7.2 Data Privacy and AI
7.3 Developing and Implementing Ethical AI Guidelines
Module 8: Future of AI in Research
8.1 Emerging Trends in AI Research
8.2 Preparing for the AI-Driven Research Future