MLOps maturity levels - Mini Project: Build & Apply

Understanding MLOps Maturity Levels

📖 Scenario: You are part of a team starting to adopt MLOps practices. To plan your journey, you want to understand the different maturity levels of MLOps and what each level means.

🎯 Goal: Build a simple Python dictionary that lists MLOps maturity levels with their descriptions, then add a threshold level to focus on, filter the levels above that threshold, and finally print the filtered levels.

📋 What You'll Learn

Create a dictionary with exact MLOps maturity levels and their descriptions

Add a variable to set a maturity level threshold

Filter the dictionary to include only levels above the threshold

Print the filtered dictionary

💡 Why This Matters

🌍 Real World

Teams use MLOps maturity levels to understand their current capabilities and plan improvements in machine learning operations.

💼 Career

Knowing MLOps maturity levels helps professionals communicate progress and set goals in ML deployment and maintenance.

1

Create MLOps maturity levels dictionary

Create a dictionary called mlops_levels with these exact entries: 1: 'Initial', 2: 'Managed', 3: 'Defined', 4: 'Quantitatively Managed', 5: 'Optimizing'

MLOps

# Create the mlops_levels dictionary with exact keys and values
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with integer keys and string values.

2

Set maturity level threshold

Create a variable called threshold and set it to the integer 3

MLOps

mlops_levels = {
    1: 'Initial',
    2: 'Managed',
    3: 'Defined',
    4: 'Quantitatively Managed',
    5: 'Optimizing'
}
# Create the threshold variable and set it to 3
# Your code here

Need a hint?

Just assign the number 3 to the variable named threshold.

3

Filter levels above threshold

Create a new dictionary called filtered_levels that includes only the entries from mlops_levels where the key is greater than threshold. Use a dictionary comprehension with for level, name in mlops_levels.items() and a condition.

MLOps

mlops_levels = {
    1: 'Initial',
    2: 'Managed',
    3: 'Defined',
    4: 'Quantitatively Managed',
    5: 'Optimizing'
}
threshold = 3
# Create filtered_levels dictionary with levels greater than threshold
# Your code here

Need a hint?

Use a dictionary comprehension with if level > threshold to filter.

4

Print filtered MLOps levels

Write a print statement to display the filtered_levels dictionary.

MLOps

mlops_levels = {
    1: 'Initial',
    2: 'Managed',
    3: 'Defined',
    4: 'Quantitatively Managed',
    5: 'Optimizing'
}
threshold = 3
filtered_levels = {level: name for level, name in mlops_levels.items() if level > threshold}
# Print the filtered_levels dictionary
# Your code here

Need a hint?

Use print(filtered_levels) to show the filtered dictionary.