Why pipelines automate the ML workflow in MLOps - See It in Action

Why pipelines automate the ML workflow

📋 What You'll Learn

💡 Why This Matters

🌍 Real World

ML pipelines automate repetitive tasks like data loading, training, and evaluation so engineers save time and avoid mistakes.

💼 Career

Understanding pipelines is key for ML engineers and DevOps roles to build reliable, repeatable ML workflows.

1

Create the ML workflow steps list

Create a list called steps with these exact strings in order: 'load_data', 'train_model', 'evaluate_model'.

MLOps

# Create the list of ML workflow steps
# Your code here

Need a hint?

Use square brackets [] to create a list and put the step names as strings inside.

2

Set the current step index

Create a variable called current_step and set it to 0 to start from the first step.

MLOps

steps = ['load_data', 'train_model', 'evaluate_model']
# Set the current step index to 0
# Your code here

Need a hint?

Use a simple assignment to set current_step to zero.

3

Run the pipeline steps automatically

Use a while loop that runs while current_step is less than the length of steps. Inside the loop, get the step name from steps[current_step] and print Running step: <step_name>. Then increase current_step by 1.

MLOps

steps = ['load_data', 'train_model', 'evaluate_model']
current_step = 0
# Use a while loop to run all steps
# Your code here

Need a hint?

Use len(steps) to get the number of steps. Use print(f"Running step: {step_name}") to show the current step.

4

Display the automated pipeline output

Run the program to display the output of all steps running automatically. The output should show each step name with the message Running step: <step_name> on its own line.

MLOps

steps = ['load_data', 'train_model', 'evaluate_model']
current_step = 0
while current_step < len(steps):
    step_name = steps[current_step]
    print(f"Running step: {step_name}")
    current_step += 1
# Run the program to see the output

Need a hint?

Run the whole script. You should see three lines, each showing a step running.