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Starts 7 June 2025 00:15

Ends 7 June 2025

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ChatGPT Pro: OpenAI Deep Research

Discover how to conduct autonomous, multi-step investigations using OpenAI's Deep Research to uncover insights, synthesize information, and make informed decisions.
via Pluralsight

659 Courses


21 minutes

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Overview

Researching complex topics can be overwhelming, especially when uncovering unknowns and synthesizing large amounts of information. In this course, ChatGPT Pro:

OpenAI Deep Research, you’ll learn to conduct autonomous, multi-step investigations using OpenAI’s Deep Research.

First, you’ll explore how Deep Research works, including its strengths, limitations, and how it compares to other AI research tools. Next, you’ll discover how to structure effective prompts and guide the AI through iterative research steps.

Finally, you’ll learn how to interpret results, evaluate their reliability, and implement strategies for managing large-scale research projects. When you’re finished with this course, you’ll have the skills and knowledge of leveraging OpenAI’s Deep Research for uncovering insights, synthesizing information, and driving informed decision making in your work.

Syllabus

  • Introduction to OpenAI's Deep Research
  • Overview of AI in research
    Introduction to OpenAI's Deep Research tool
    Key benefits and applications
  • Understanding the Mechanics of Deep Research
  • Core functionalities and features
    Strengths and comparative analysis with other AI research tools
    Limitations and ethical considerations
  • Structuring Effective Prompts
  • Principles of effective prompt creation
    Crafting clear and concise research questions
    Techniques for guiding AI through multi-step inquiries
  • Conducting Iterative Research Steps
  • Designing iterative investigation processes
    Techniques for refining and expanding research with AI
    Managing feedback loops in research
  • Interpreting and Synthesizing AI Research Results
  • Methods for analyzing AI-generated insights
    Criteria for evaluating reliability and validity of results
    Strategies for synthesizing large volumes of information
  • Managing Large-scale AI Research Projects
  • Planning and executing complex research projects
    Collaborating with AI for comprehensive analyses
    Case studies and practical applications
  • Implementing Insights and Driving Decisions
  • Translating AI research into actionable insights
    Influencing strategic decision making with AI-generated data
    Tracking and measuring the impact of AI-driven research conclusions
  • Conclusion and Future Directions
  • Recap of key skills acquired
    Emerging trends in AI research
    Continuous learning resources and opportunities

Taught by

Kamran Ayub


Subjects

Computer Science