Demonstrate your proficiency in using TensorFlow to solve deep learning and ML problems. Get recognized for your skills and join our Certificate Network.
TensorFlow 开发者认证计划概览
The goal of this certificate is to provide everyone in the world the opportunity to showcase their expertise in ML in an increasingly AI-driven global job market. This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow.
The program consists of an assessment exam developed by the TensorFlow team. Developers who pass the exam can join our Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world.
Stay tuned as we are working to add certificate programs for more advanced and specialized TensorFlow practitioners. Check back soon for more information.
Before you take the exam, please review our Candidate Handbook.
TensorFlow 认证面向什么人？
一级认证考试可以测试开发者将机器学习技术集成到工具和应用中的基础知识。该认证计划要求应试者了解如何使用计算机视觉、卷积神经网络、自然语言处理以及真实的图像数据和策略构建 TensorFlow 模型。
为了顺利完成考试，应试者应该了解以下知识：
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机器学习和深度学习的基本原则
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在 TensorFlow 2.x 中构建机器学习模型
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使用深度神经网络和卷积神经网络构建图像识别算法、对象检测算法、文本识别算法
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使用不同形状和大小的真实图像可视化图像的卷积过程，了解计算机如何“观察”信息、绘制损失和准确率图
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探索防止过拟合的策略，包括增强和丢弃策略
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在 TensorFlow 中使用神经网络解决自然语言处理问题
优势
我们深信，具有不同背景和专业知识、来自不同地理位置以及持有不同观念的人应该能够更方便地学习和使用相关技术，从而转变机器学习及其应用的演进方式。我们很高兴能够提供有限金额的助学金，来资助教育材料和/或补贴考试费用，帮助实现这一目标。
If you don't have the background above, take the DeepLearning.AI TensorFlow Developer Professional Certificate specialization on Coursera or the Intro to TensorFlow for Deep Learning course on Udacity to prepare for the exam. These courses require:
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入门级 Python 编程技能
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以前学习过机器学习或深度学习知识会有帮助，但不是必需条件
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线性代数、概率、统计学和微积分的数学背景知识对开发有帮助，但不是必需条件
Not there yet? Other resources are available to get you up-to-speed.
工作原理
Review our Candidate Handbook covering exam criteria and FAQs. Optional: Take the DeepLearning.AI TensorFlow Developer Professional Certificate. This is strongly recommended in order to prepare for the exam.
报名参加考试：使用 Gmail 帐号登录（若无 Gmail 帐号，您可以在登录过程中创建一个），上传您带照片的身份证件（例如驾照或护照），并提供付款信息。
参加并提交考试。从购买考试之日起 6 个月内，您可随时登录并参加考试。考试需要在 5 小时之内完成。
获得 TensorFlow 认证：在您交卷后，我们会对考卷评分。您在 24 小时内即可通过 Candidate Portal 看到考卷的提交状态。
Share your expertise with your community. You can add the certificate and badge to your resume and public profiles, including GitHub, LinkedIn, Twitter, and join our Certificate Network to help recruiters find ML professionals like you.