DeepLearning.AI Integrations

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

SlideSieve is a browser extension for learners who want to keep visual and spoken material from online video courses together. While a supported lecture plays, it detects slide changes, filters instructor-only shots and transitions, and stores frames in a course-organized side panel. Users can review slides in grid, list, or presentation views, remove unwanted captures, and take manual snapshots. SlideSieve reads captions or transcript data from supported course players, synchronizes text with playback, and exports transcripts as TXT, SRT, or VTT. Slide decks can be exported as multi-page PDFs or images with their aspect ratio preserved. Optional slide and exclusion zones help focus capture around a presentation or webcam overlay. Processing and saved captures stay in the browser. It is intended for students, self-directed learners, and professionals studying video lessons on Coursera, Udemy, YouTube, and DeepLearning.AI.

Accelerate your enterprise transformation by assessing your team's skills, rapidly upskilling, and measuring their progress in cutting-edge technologies like GenAI. We provide actionable skills data that inform your talent strategies across hiring, upskilling, and mentorship. Give your workforce personalized learning plans and your leadership the visibility and insights needed for better talent decisions, all seamlessly integrated into your technology ecosystem. Currently spanning technologies like data science, AI, software, machine learning, cloud, and more, our domains and measurement evolve with the pace of the industry. Workera is designed to complement and strengthen the tools and content stack your enterprise uses today. We integrate seamlessly and help you make the most of your investments. By reimagining how to classify skills, Workera provides an unprecedented level of precision when measuring and understanding your employees' capabilities.