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Delivering and Analyzing a Software Pilot: GitHub Copilot

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Running a successful software pilot is essential for introducing new tools into your organization’s workflows. In this course, instructor Mike Smith guides you through the process of planning, executing, and evaluating a software pilot that can lead to informed decision-making and a strong business case for full deployment. While using GitHub Copilot as a practical example, the lessons apply to any software pilot. You'll learn how to define objectives, monitor usage metrics, analyze feedback, and present findings to stakeholders. Ideal for decision-makers and tech leads, this course equips you with the skills required to successfully test, implement, and justify new software across your organization.


01 - Introduction
  • 01 - Introduction and overview
  • 02 - What you should know
  • 03 - Who this course is for

  • 02 - 1. Getting Started with GitHub Copilot
  • 01 - Overview of GitHub Copilot
  • 02 - Setting up GitHub Copilot for development

  • 03 - 2. Planning a Software Pilot
  • 01 - Defining objectives and goals
  • 02 - Selecting the pilot team
  • 03 - Establishing key performance indicators
  • 04 - Preparing your environment for the pilot

  • 04 - 3. Launching the Pilot
  • 01 - Steps to officially start the pilot
  • 02 - Initial challenges and how to address them
  • 03 - Communication strategies during the pilot
  • 04 - Ensuring smooth operations and support

  • 05 - 4. Monitoring the Pilot
  • 01 - Tools and techniques for monitoring
  • 02 - Capturing and analyzing metrics
  • 03 - Making adjustments during the pilot
  • 04 - Case studies of effective monitoring

  • 06 - 5. Ending the Pilot
  • 01 - Criteria for concluding the pilot
  • 02 - Steps for a structured wrap-up
  • 03 - Transitioning from pilot to full deployment
  • 04 - Common pitfalls to avoid at this stage

  • 07 - 6. Gathering Feedback
  • 01 - Methods for collecting feedback
  • 02 - Organizing and preparing feedback for analysis
  • 03 - Prioritizing feedback and identifying trends
  • 04 - Engaging with pilot teams post-pilot

  • 08 - 7. Using NLTK to Analyze Feedback
  • 01 - Introduction to NLTK for text analysis
  • 02 - Preparing your data for analysis
  • 03 - Techniques to identify sentiments and themes
  • 04 - Gathering metrics from GitHub regarding Copilot usage
  • 05 - Visualizing data and results

  • 09 - 8. Writing a Business Case
  • 01 - Structuring your business case
  • 02 - Incorporating data and insights from the pilot
  • 03 - Presenting results to stakeholders
  • 04 - Strategies for gaining support for full deployment

  • 10 - Conclusion
  • 01 - Next steps to continue your software pilot journey
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    تاریخ انتشار: ۸ اسفند ۱۴۰۳
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