Loading...
No results found.
    Share on LinkedIn Feed Twitter Facebook

    Google Cloud Skills Boost
    Your Learning progress might get lost. Sign in or Join to save your progress.
    close

    04

    Responsible AI for Developers: Interpretability & Transparency

    Path navigate_next Course navigate_next Overview

    04

    Responsible AI for Developers: Interpretability & Transparency

    3 hours Intermediate universal_currency_alt 5 Credits

    This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.

    When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

    Badge for Responsible AI for Developers: Interpretability & Transparency
    info
    Course Info
    Objectives
    • Define interpretability and transparency as it relates to AI
    • Describe the importance of interpretability and transparency in AI
    • Explore the tools and techniques used to achieve interpretability and transparency in AI
    Prerequisites

    Working knowledge of machine learning concepts and practices. Working knowledge of machine learning pipelines and tools. Prior experience with programming languages such as SQL and Python
    Audience
    AI/ML Developers, AI Practitioners, ML Engineers, Data Scientists
    Available languages
    English, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 简体中文, 繁體中文, Deutsch, and Türkçe
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
    What badges can I earn?
    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
    Preview