Cost allocation and optimization in MLOps - Mini Project: Build & Apply

Cost Allocation and Optimization in MLOps

📖 Scenario: You work in a team managing machine learning projects. Each project uses cloud resources that cost money. Your manager wants to see how much each project costs so they can optimize spending.

🎯 Goal: Build a simple Python program that stores project costs, sets a budget limit, calculates which projects exceed the budget, and prints those projects for review.

📋 What You'll Learn

Create a dictionary called project_costs with exact project names and costs

Create a variable called budget_limit with the exact value 1000

Use a dictionary comprehension called over_budget_projects to find projects costing more than budget_limit

Print the over_budget_projects dictionary

💡 Why This Matters

🌍 Real World

Teams managing machine learning projects need to track cloud resource costs to avoid overspending.

💼 Career

Understanding cost allocation helps MLOps engineers optimize budgets and report expenses clearly to stakeholders.

1

Create the project costs dictionary

Create a dictionary called project_costs with these exact entries: 'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300

MLOps

# Create the project_costs dictionary with exact project names and costs
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as project names and values as costs.

2

Set the budget limit

Create a variable called budget_limit and set it to the integer value 1000

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
# Create the budget_limit variable and set it to 1000
# Your code here

Need a hint?

Just assign the number 1000 to the variable budget_limit.

3

Find projects over the budget

Use a dictionary comprehension called over_budget_projects to select projects from project_costs where the cost is greater than budget_limit

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
budget_limit = 1000
# Create over_budget_projects dictionary with projects costing more than budget_limit
# Your code here

Need a hint?

Use {project: cost for project, cost in project_costs.items() if cost > budget_limit} to filter projects.

4

Print the projects over budget

Write a print statement to display the over_budget_projects dictionary

MLOps

project_costs = {'ProjectA': 850, 'ProjectB': 1200, 'ProjectC': 950, 'ProjectD': 1300}
budget_limit = 1000
over_budget_projects = {project: cost for project, cost in project_costs.items() if cost > budget_limit}
# Print the over_budget_projects dictionary
# Your code here

Need a hint?

Use print(over_budget_projects) to show the filtered projects.