AI+ Researcher™

Course code: AP430

Price of the certification exam is included in the price of the course.

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
Akční cena
140 EUR

169 EUR including VAT

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 140 EUR Akční cena

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Starting
date
Place
Type Course
duration
Language Price without VAT
Upon request Self-paced 8 hours en A 140 EUR Register
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Course description

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.

  • TensorFlow
  • Scikit-learn
  • AI Fairness 360
  • Zotero

Target group

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.

Course structure

Course Overview

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

Optional 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

Prerequisites

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

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Certification

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

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