56 - 311 Introduction to model training scripts
57 - 311 313 314 316 317 Run model training script endtoend 1
58 - 311 313 314 316 317 Run model training script endtoend 2
59 - 311 313 314 316 317 Run model training script endtoend 3
60 - 311 313 314 316 317 Run model training script endtoend 4
61 - 311 313 314 316 317 Run model training script endtoend 5
62 - 318 312 Configure compute and set up script parameters set up
63 - 318 312 Using script parameters
64 - 318 312 Cycling through script parameters
65 - 318 312 Testing different script parameters
66 - 318 312 Configure compute for a job run
67 - 318 312 Adding compute to an environment
68 - 318 312 Deleting a compute through Python SDK
69 - 321 Introduction to pipelines
70 - 321 Pipeline context
71 - 321 Create a prepare data step in pipeline
72 - 321 Create a train model step in pipeline
73 - 321 Fix errors in pipeline
74 - 321 Create a pipeline run script
75 - 322 Pass data between steps in pipeline
76 - 323 Run the pipeline
77 - 323 Other ways to run the pipeline
78 - 323 Publishing the endpoint
79 - 323 Create a pipeline endpoint
80 - 323 Call an endpoint 1
81 - 323 Call an endpoint 2
82 - 324 Monitor pipeline runs
