Updates to the TensorFlow Developer Certificate

We launched the TensorFlow Developer Certificate exam program almost four years ago. More than 11,000 people have passed the exam and many have seen a positive impact as a result, including getting jobs as ML developers.

While we evaluate the next step in our certificate program, we will be closing down the TensorFlow Certificate exam.

The last day to register to take the exam is April 30, 2024, and the last day to take it is May 31, 2024. After you pass the exam, your credentials will be valid for 3 years.

TensorFlow Developer Certificate 計畫總覽

測驗 | $100 美元

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.

誰是 TensorFlow 認證的目標對象?

這項初級認證測驗會測試開發人員對於將機器學習整合至工具和應用程式的基本知識。要通過認證計畫,必須理解如何使用電腦視覺、卷積類神經網路、自然語言處理,以及現實生活中的圖片資料和策略來建構 TensorFlow 模型。


  • 機器學習和深度學習的基本原則

  • 在 TensorFlow 2.x 中建構機器學習模型

  • 使用深層類神經網路與卷積類神經網路來建構圖片辨識、物件偵測和文字辨識的演算法

  • 使用現實生活中形狀大小不一的圖片,透過卷積將圖片呈現流程視覺化,瞭解電腦如何「檢視」資訊,並計算損失和準確率

  • 探索防止過度配適的策略,包括擴增和丟棄

  • 使用 TensorFlow 的類神經網路來解決自然語言處理問題

  • 學習新知。提高你在機器學習領域的專業能力,並參加 TensorFlow 評量測驗來測試自身能力。

  • 獲得社群認可。在全球 TensorFlow 社群中獲得其他成員的認可。

  • 展現你的技能。在履歷和 LinkedIn 等社群網路平台放上你的證書,藉此吸引招募人員目光,將你列為「TensorFlow 基層開發人員」的優先人選。

  • Find TensorFlow talent. See who is a certificate holder in our Certificate Network, and find help for your machine learning tasks.


尋找已通過 TensorFlow 認證測驗的人選,來協助你執行機器學習和深度學習工作。