AICERTS, Artificial Intelligence

AI+ Researcher™

Instructor

Falandile Ntshangase

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Course details

Lectures : 31

Description
FAQ
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Why AI+ Researcher™? 10X AI Research & Innovation Impact

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.

At a Glance: Course + Exam Overview

Program Name

AI+ Researcher™

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: day (live or virtual)
Self-Paced: 8 hours of content

Prerequisites

Basic knowledge of writing styles and tones, Interest in digital content creation tools and AI platforms, fundamental AI/ML concepts

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Delivery

Projects & case studies

Outcome

Industry-recognized credential + hands-on experience

Who Should Enroll?

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.

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)

Exam Blueprint:

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%

What does the AI+ Researcher™ certification course cover?

The AI+ Researcher™ certification is a one-day comprehensive program designed to equip scholars and researchers with the tools and knowledge to effectively leverage artificial intelligence (AI) in their research fields. The course covers fundamental AI concepts, tools, and applications specific to research.

Who should take this course?

This course is ideal for scholars, researchers, and academics who want to integrate AI into their research processes. It is suitable for individuals with a foundational understanding of AI concepts, though no technical skills are required.

What tools and technologies are introduced in this course?

The course introduces various AI tools and technologies, including ChatGPT, AI in data collection and analysis, and other AI tools like Bard, data analysis software, and machine learning platforms.

How will I benefit from this certification in my research career?

Upon completion, participants will possess a solid understanding of AI fundamentals and their application in research, enabling them to leverage AI tools to enhance research methodologies, productivity, and outcomes.

How will AI be applied to research in this course?

The course explores how AI can be used in data collection and analysis, literature review, hypothesis generation, pattern recognition, predictive modeling, and enhancing research methodologies.

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