Build an AI Research Agent

Build an AI research agent that searches, verifies, and synthesizes information into clear, source-backed insights automatically.
Duration: 1 Day
Hours: 1 Hour 30 Minutes
Training Level: All Levels
Batch One
Wednesday, May 20, 2026
01:00 PM - 02:30 PM (Eastern Time)
Batch Two
Tuesday, June 30, 2026
01:00 PM - 02:30 PM (Eastern Time)
Batch Three
Friday, July 24, 2026
01:00 PM - 02:30 PM (Eastern Time)
Batch Four
Friday, August 21, 2026
01:00 PM - 02:30 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

Build an AI Research Agent is a practical, project-based course that teaches you how to design and develop intelligent agents capable of autonomously gathering, analyzing, and summarizing information. As the volume of data continues to grow, the ability to automate research workflows has become a powerful advantage for professionals across domains. This course focuses on combining AI models, tools, and structured workflows to create agents that can perform multi-step research tasks efficiently.

You will learn how to define research objectives, design agent workflows, and integrate AI for tasks such as web searching, data extraction, summarization, and insight generation. The course also covers prompt design, tool orchestration, and methods for improving the accuracy, reliability, and relevance of results. Additionally, you will explore how to handle sources, reduce bias, and validate outputs for higher-quality research.

By the end of the course, you will have built your own AI research agent capable of assisting with market research, competitive analysis, academic exploration, and more, helping you save time while producing structured, actionable insights.

Course Objectives:

  • Understand the core concepts of AI agents and their role in automating research workflows
  • Learn how to define clear research objectives and break them into structured, multi-step tasks
  • Design and implement agent workflows for information gathering, analysis, and synthesis
  • Use AI models to perform web searching, data extraction, summarization, and insight generation
  • Develop effective prompt strategies to guide agent behavior and improve output quality
  • Integrate external tools and data sources to enhance the capabilities of the research agent
  • Apply techniques to evaluate, validate, and refine the accuracy and relevance of results
  • Identify and mitigate bias, misinformation, and low-quality sources in AI-driven research
  • Build systems for organizing and presenting research findings in a clear, actionable format
  • Automate repetitive research tasks to improve efficiency and productivity
  • Combine human judgment with AI capabilities to create reliable, high-quality research outputs

Who is the Target Audience?

  • Analysts
  • Consultants

Basic Knowledge:

  • Basic AI tool familiarity

Curriculum
Total Duration: 1 Hour 30 Minutes
Multi-Step AI Workflows
Research Automation
Insight Generation