Course curriculum

  • 1

    Live Session Details

    • Live Session Details
  • 2

    Set 1 : NC Create no-code predictive models with Azure Machine Learning

    • NC Lab 1: Create an Azure Machine Learning workspace

    • NC Lab 2: Creating Compute Resource

    • NC Lab 3: Explore the dataset

    • NC Lab 4: Train the model using a dataset

    • NC Lab 5: Evaluate the Results

    • NC Lab 6: Deploy the trained model as a Service
  • 3

    Set 2: NC R Create a regression model with Azure Machine Learning designer

    • NC R - Lab 1: Create an Azure Machine Learning Workspace

    • NC R - Lab 2: Creating Compute Resource

    • NC R - Lab 3: Explore the dataset

    • NC R - Lab 4: Create and run a training pipeline.

    • NC R - Lab 5_ Evaluating Trained Regression Model

    • Lab 6: Creating an inference pipeline

    • NC R - Lab 7_ Deploy a Predictive Service
  • 4

    DAC-AI/ML Week videos

    • DAC - Episode 6 - Weekly Highlights

    • DAC - Episode 7 - AI/ML

    • DAC - Episode 8 -Azure Pipelines

    • DAC - Episode 9 - AI/ML

    • DAC - Episode 10 - AI/ML

    • DAC - Episode 11 - Weekly Quiz
  • 5

    Set 3 : NC C Create a classification model with Azure Machine Learning designer

    • NC C - Lab 1_ Create an Azure Machine Learning Workspace

    • NC C - Lab 2_ Creating Compute Resource

    • NC C- Lab 3 Explore the dataset