Address
Level 8/25 Restwell Street, Bankstown NSW 2200, Australia
Business Hours
Monday to Friday: 10AM - 6PM
Weekend: CLOSED
AI+ Researcher Practitioner™
USD$195.00 (GST excl.)
Formerly known as AI+ Researcher™
Empower Discoveries with Artificial Intelligence
- Research Evolution: Learn AI tools for market research, analytics, and scholarly writing
- Data Mastery: Gain skills in dataset handling, ethics, and AI-enhanced insights
- Innovation Engine: Drive academic and scientific breakthroughs using AI
- Domain Leadership: Prepare to lead research in advanced fields with ethical AI
Duration
Instructor-Led: day (live or virtual)
Self-Paced: 8 hours of content
Self-Paced: 8 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam
Overview
- Research Evolution: Learn AI tools for market research, analytics, and scholarly writing
- Data Mastery: Gain skills in dataset handling, ethics, and AI-enhanced insights
- Innovation Engine: Drive academic and scientific breakthroughs using AI
- Domain Leadership: Prepare to lead research in advanced fields with ethical AI
Prerequisites
Basic knowledge of writing styles and tones, Interest in digital content creation tools and AI platforms, fundamental AI/ML concepts
What you’ll learn
Scholars & Researchers: Enhance your research capabilities by integrating AI tools for data analysis and insight generation
Market Research Analysts: Leverage AI to optimize market research strategies, extract meaningful insights, and improve decision-making.
Data Scientists: Apply AI methodologies to large datasets for more efficient analysis and breakthroughs in scientific research.
Academic Leaders: Drive innovation in your academic or research institution by adopting AI technologies to enhance research productivity and efficiency.
Students & New Graduates: Gain a competitive edge in the research field by mastering AI-powered tools and methodologies for advanced research.
Why this certification matters
- Master AI-Driven Research Methodologies: Learn how to design, test, and optimize AI models for academic and industrial research.
- Leverage AI for Data-Driven Insights: Use AI-powered tools for data analysis, hypothesis testing, and predictive modeling.
- Stay at the Forefront of AI Innovation: Organizations and academic institutions seek AI research professionals to advance AI capabilities.
- Expand Your Career in AI Research & Development: High demand for AI researchers in universities, tech firms, R&D labs, and government AI projects.
Tools you’ll use
TensorFlow
Scikit-learn
AI Fairness 360
Zotero
Learning Modules
10 modules
1Course Overview
Course Introduction Preview
2Module 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
1.2 Overview of AI Tools and Technologies
1.3 AI’s Impact on Research
3Module 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
2.2 Audience Analysis and Persona Creation Using AI
2.3 Using AI for Branding and Marketing Insights
4Module 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
3.2 Machine Learning Models in Scientific Research
3.3 AI for Drug Discovery and Advanced Research
5Module 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
4.2 Ethical Considerations in Academic AI Use
4.3 AI Tools for Enhancing Academic Research and Writing
6Module 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
5.2 AI Tools for Data Visualization and Analysis
5.3 Case Studies of AI in Research
7Module 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
6.2 AI in Survey Design and Implementation
6.3 Operational Efficiency and AI
8Module 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
7.2 Data Privacy and AI
7.3 Developing and Implementing Ethical AI Guidelines
9Module 8: Future of AI in Research
8.1 Emerging Trends in AI Research
8.2 Preparing for the AI-Driven Research Future
8.2 Preparing for the AI-Driven Research Future
10Optional Module: AI Agents for Researcher
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
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
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: day (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Prerequisites | Basic knowledge of writing styles and tones, Interest in digital content creation tools and AI platforms, fundamental AI/ML concepts |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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