AI Skills Fest 2026
🚀 Looking to build your AI and Data Science skills? Microsoft is hosting the AI Skills Fest 2026, a free global learning event packed with AI-focused training, expert-led sessions, hands-on activities, and learning paths for students, developers, data professionals, and business users. Participants can also earn digital badges and may qualify for certification opportunities. 📅 Event Dates: June 8–12, 2026 Whether you're just starting your Data Science journey or looking to expand your AI knowledge, this is a great opportunity to learn from Microsoft experts and the global community. 🔗 Register here: https://aiskillsnavigator.microsoft.com/events/AISF2026 Has anyone here joined? Which learning track are you exploring—AI, Data Science, Power BI, Fabric, or Machine Learning?
MLFlow - Not logging results of all epochs
I am trying to use MLFlow to log the results of my model training to do hyperparameter tuning however it is only logging the last val_loss & loss value in the experiment. Running in a Python 3.11 notebook with tensorflow: 2.18.0 mlflow: 3.8.1 pandas: 2.2.2 with mlflow.start_run() as run: mlflow.tensorflow.autolog() history, model = run_model(X_train, X_val) for epoch, (tr, vl) in enumerate( zip(history.history["loss"], history.history["val_loss"]) 😞 mlflow.log_metric("loss", tr, step=epoch) mlflow.log_metric("val_loss", vl, step=epoch) Then this is the only output in the experiment:
Thank you for the Microsoft's Fabric Community and these events, interest in learning more!
Hello, Thank you so much for hosting this wonderful event; I am enjoying these sessions and learning a lot. I am grateful to have had the chance to learn about Microsoft and its broad AI endeavors and opportunities. A little about myself is that: My name is Ayush Saha. I am a 1st year MS of CS (AI) major at USC, and an AI Engineer Intern Alumnus from Volkswagen (2025), and accepted presenter to the 2025 US-RSE Research Conference for my research in computer vision/ incident scene reconstruction. My LinkedIn is: https://www.linkedin.com/in/ayush-saha/ This event has definitely inspired me to apply to join Microsoft's internship programs! I am looking forward to the remainder of the event, Ayush S.
AutoML "Next" Option Disabled After Selecting "choose data"
Description: When attempting to train a machine learning model using AutoML, the Next button remains disabled after selecting a Delta table as the "choose data". Steps to Reproduce: Open AutoML and start a new training job. Choose OneLake as the choose data source. Select a Delta table. Wait for the preview to load. Observe that the Next button is disabled. Expected Behavior: After the Delta table preview loads, the Next button should be enabled so the user can proceed to the next configuration step. Actual Behavior: The Next button remains disabled, blocking further progress in setting up the AutoML experiment. Impact: This issue prevents users from proceeding with AutoML training when using Delta tables as the data source.
