This level one certificate exam tests a developers foundational knowledge of integrating machine learning into tools and applications. The certificate program requires an understanding of building TensorFlow models using Computer Vision, Convolutional Neural Networks, Natural Language Processing, and real-world image data and strategies. You can view TensorFlow Developer Certificate holders on our Credential Network at tensorflow.org/certificate-network.

This credential earner demonstrates knowledge of information technology (IT) basics, methodologies of troubleshooting, and the tools and resources that IT professionals use. The individual has a conceptual understanding of computer basics, networking, hardware, software, computer security, and has experience supporting a customer with a simulated remote connection tool. The earner is aware of the job outlook in IT and is familiar with the skills required for success in various roles.

Working knowledge of Linux using both the graphical interface and command line across the major Linux distribution families.

Install, configure and administer Windows Server 2019, 2022.

Deploy, configure and work with key OS components and data roles.

Take advantage of virtualization to create a test environment.

Administer any type of OS through the command interface.

Use PowerShell to perform basic administration.

Monitor the OS and find faults.

Analyze and manipulate data using Python

Best practices for TensorFlow, a popular open source machine learning framework for neural network training

https://www.efset.org/cert/cXztm8