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AI-Assisted Market Research

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AI-Assisted Market Research

SkillUp
Rajesh Menon

Instructors: SkillUp

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain where generative AI adds value in secondary research and the roles of ChatGPT, Gemini, Perplexity, and NotebookLM.

  • Apply structured prompting techniques for source discovery, exploration, comparison, and research analysis.

  • Evaluate AI outputs to identify hallucinations and unsupported claims, and verify them against original sources.

  • Design an AI-assisted research workflow that combines AI tools, traditional sources, and responsible practice.

Details to know

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Recently updated!

November 2026

Assessments

11 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Secondary Market Research and Analysis Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, you will get oriented in what generative AI can actually do for secondary research, and just as importantly, what it cannot. You will work through ChatGPT, Gemini, Perplexity, and NotebookLM, learning what each is genuinely good for rather than treating them as interchangeable, and see how AI fits alongside, not instead of, the search engines, databases, and source documents you already use. A hands-on lab lets you run the same question through multiple tools and compare what comes back, and a role-play gives you practice explaining a balanced, appropriate-use approach to a colleague who either trusts AI too much or not at all.

What's included

4 videos3 readings3 assignments1 plugin

In this module, you will build the core operating skill of the course: writing prompts that actually get you useful research output. You will learn the anatomy of an effective prompt and practice prompting for discovery, exploration, comparison, and analysis, then apply the same technique to extracting structured information from long reports and organizing findings across multiple sources. Throughout, the emphasis is on using AI to point you toward sources and possibilities, not to hand you facts directly. A short interactive drill and a hands-on research sprint give you practice turning a vague question into a productive AI-assisted search.

What's included

3 videos3 readings3 assignments1 plugin

In this module, you turn to the discipline that makes AI-assisted research usable at all: verification. You will learn why hallucinations occur, what a fabricated statistic or invented citation typically looks like, and how to trace every AI-generated claim back to an original, authoritative source before it goes anywhere near your research. You will also cover the responsible-use side of working with AI — citation, confidentiality, copyright, and transparency, that is increasingly expected as organizations formalize their AI policies. A scenario activity and a hands-on lab give you practice catching unsupported claims in AI-generated research before they cause a problem.

What's included

2 videos3 readings3 assignments1 plugin

In this final module, you will consolidate your learning, and the specialization as a whole, by completing a comprehensive final project. You will complete an AI-assisted research task end to end: documenting the prompts you used, the outputs you received, the verification you performed against original sources, and your final validated findings with any unsupported claims removed. You will then review key terms in the course glossary and complete a final exam covering all three content modules, before wrapping up the course and the specialization with a recap of what you have built across all three courses.

What's included

1 video3 readings2 assignments

Earn a career certificate

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Instructors

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SkillUp
180 Courses589,986 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.