AI+ Researcher™
Empower Discoveries with Artificial Intelligence
This course explores how AI is transforming research, equipping learners with tools for market analysis, advanced analytics, and scholarly writing. Participants gain hands-on experience in dataset handling, ethical considerations, and generating AI-enhanced insights. The program emphasizes innovation, enabling learners to accelerate academic and scientific breakthroughs using AI technologies. Finally, participants develop domain leadership skills, preparing them to lead research initiatives in advanced fields while applying AI responsibly and effectively.
Enrollment Fee:
MUR 5,980
What You'll Learn
- Course Introduction
1.1 Understanding AI, Machine Learning, and Deep Learning
1.2 Overview of AI Tools and Technologies
1.3 AI’s Impact on 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
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
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
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
6.1 Innovating Research Design with AI
6.2 AI in Survey Design and Implementation
6.3 Operational Efficiency and AI
7.1 Ethical Considerations in AI Research
7.2 Data Privacy and AI
7.3 Developing and Implementing Ethical AI Guidelines
8.1 Emerging Trends in AI Research
8.2 Preparing for the AI-Driven Research Future
1. What Are AI Agents
2. Key Capabilities of AI Agents in Research
3. Applications and Trends for AI Agents in Research
4. Benefits of AI Agents in Research
5. How Does an AI Agent Work
6. Core Characteristics of AI Agents
7. Types of AI Agents
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
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 5,980