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Generative AI Fundamentals Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Unlock and leverage the potential of generative AI. Learn how you can use the capabilities of generative AI to enhance your work and daily life. This Generative AI Fundamentals course is offered by Coursera in partnership with IBM .

Overview

This Generative AI Fundamentals course is offered by Coursera in partnership with IBM . This specialization provides a comprehensive understanding of the fundamental concepts, models, tools, and applications of generative AI to enable you to leverage the potential of generative AI toward a better workplace, career, and life.

What you'll learn

  • Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.

  • Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models.

  • Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI.

  • Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.

Skills you'll gain

  • Artificial Intelligence (AI)
  • Prompt Engineering
  • ChatGPT
  • hugging face
  • Generative AI Careers
  • Generative AI
  • Stable Diffusion
  • Hugging Face
  • Foundation Models
  • Responsible Generative AI

Programme Structure

Courses included:

  • Generative AI: Introduction and Applications
  • Generative AI: Prompt Engineering Basics
  • Generative AI: Foundation Models and Platforms
  • Generative AI: Impact, Considerations, and Ethical Issues
  • Generative AI: Business Transformation and Career Growth

Key information

Duration

  • Part-time
    • 1 months
    • 5 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No prior experience required

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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