Advancing Women in Tech

AI Collaboration with Claude

Dan Mellott
Nancy Wang

Instructors: Dan Mellott

Access provided by KGiSL Educational Institutions

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

Recommended experience

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

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Select the prompting strategy, such as step-by-step, all-at-once, and hybrid, to best fit your situation

  • Analyze and synthesize inhumanly vast bodies of knowledge with Claude

  • Use AI “emotional intelligence” to create unqiue messages and deliverables from the same body of knowledge for different audiences

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English
Recently updated!

November 2025

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Build your subject-matter expertise

This course is part of the Real-World AI for Everyone 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 3 modules in this course

Learn how to communicate clearly using Claude. Sound more like yourself, connect with your audience, and say what you actually mean.

What's included

4 videos3 readings1 assignment

When working with documents, use Claude to spot gaps, surface insight, and accelerate your thinking.

What's included

3 videos3 readings1 assignment

Apply the skills to create and analyze documents in two simulations based on the hiring process.

What's included

5 videos2 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Dan Mellott
Advancing Women in Tech
3 Courses28 learners

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