Python Fundamentals for MLOps

Introduction to Python

• Module 1 (9 hours to complete)

◦ Meet your Course Instructor: Alfredo Deza (video, 1 minute)

◦ Lesson Introduction: Variables and Types (video, 0 minutes)

◦ Variables and Assignments (video, 5 minutes)

◦ Working with Different Data Types (video, 7 minutes)

◦ Conditionals and Evaluations (video, 7 minutes)

◦ Catching and Handling Exceptions (video, 6 minutes)

◦ Lesson Recap: Variables and Types (video, 0 minutes)

◦ Lesson Introduction: Python Data Structures (video, 0 minutes)

◦ Introduction to Lists (video, 3 minutes)

◦ Creating and Iterating Over Lists (video, 3 minutes)

◦ Introduction to Dictionaries (video, 3 minutes)

◦ Creating and Iterating Over Dictionaries (video, 4 minutes)

◦ Other Data Structures: Tuples and Sets (video, 4 minutes)

◦ Lesson Recap: Python Data Structures (video, 0 minutes)

◦ Lesson Introduction: Adding and Extracting Data (video, 0 minutes)

◦ Adding Data to Lists (video, 3 minutes)

◦ Extracting Data from Lists (video, 4 minutes)

◦ Extracting Data from Dictionaries (video, 4 minutes)

◦ Lesson Recap: Adding and Extracting Data (video, 0 minutes)

◦ Connect with your instructor (reading, 10 minutes)

◦ Meet your Supporting Instructor: Noah Gift (reading, 10 minutes)

◦ Course Structure and Discussion Etiquette (reading, 10 minutes)

◦ Getting Started and Course Best Practices (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Minimal Python book: Storing Data (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Quiz-Variables and Types (quiz, 30 minutes)

◦ Quiz-Introduction to Python Data Structures (quiz, 30 minutes)

◦ Quiz-Adding and Extracting Data from Data Structures (quiz, 30 minutes)

◦ Week 1-Final Graded Quiz-Python Basics (quiz, 30 minutes)

◦ Meet and Greet (optional) (discussion prompt, 10 minutes)

◦ Let Us Know if Something's Not Working (discussion prompt, 10 minutes)

◦ Variables and Types (ungraded lab, 60 minutes)

◦ Data Structures (ungraded lab, 60 minutes)

◦ Adding and Extracting Data (ungraded lab, 60 minutes)

◦ Sandbox Week One (ungraded lab, 60 minutes)

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Python Functions and Classes

• Module 2 (10 hours to complete)

◦ Lesson Introduction: Working with Functions (video, 0 minutes)

◦ Function Structure and Values (video, 3 minutes)

◦ Function Arguments (video, 5 minutes)

◦ Variable and Keyword Arguments (video, 5 minutes)

◦ Lesson Recap: Working with Functions (video, 0 minutes)

◦ Lesson Introduction: Building Classes and Methods (video, 0 minutes)

◦ Introduction to Classes (video, 7 minutes)

◦ Using a Constructor (video, 6 minutes)

◦ Adding Methods (video, 4 minutes)

◦ Class Inheritance (video, 5 minutes)

◦ Lesson Recap: Building Classes and Methods (video, 0 minutes)

◦ Lesson Introduction: Modules and Advanced Usages (video, 0 minutes)

◦ Introduction to Python Modules (video, 3 minutes)

◦ Working with Imports (video, 4 minutes)

◦ Working with Python Scripts (video, 4 minutes)

◦ Virtual Environments and Dependencies (video, 5 minutes)

◦ Lesson Recap: Modules and Advanced Usages (video, 0 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Minimal Python book: Create functions (reading, 10 minutes)

◦ Generators (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Inheritance (reading, 10 minutes)

◦ Ungraded Lab Sandbox Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Python for Beginners Learning Path (reading, 10 minutes)

◦ Understanding 3rd Party Packaging (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Quiz-Functions (quiz, 30 minutes)

◦ Quiz-Ungraded Lab Python Classes Sandbox (quiz, 30 minutes)

◦ Quiz-Building Classes and Methods (quiz, 30 minutes)

◦ Quiz-Modules (quiz, 30 minutes)

◦ Python Functions and Classes (quiz, 30 minutes)

◦ Functions (ungraded lab, 60 minutes)

◦ Python Functions Sandbox (ungraded lab, 60 minutes)

◦ Python Classes (ungraded lab, 60 minutes)

◦ Python Classes Sandbox (ungraded lab, 60 minutes)

◦ Python Modules (ungraded lab, 60 minutes)

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Testing in Python

• Module 3 (7 hours to complete)

◦ Lesson Introduction: Writing and Executing Tests (video, 0 minutes)

◦ Motivations for Testing in Python (video, 5 minutes)

◦ Testing Conventions (video, 8 minutes)

◦ Testing with pytest (video, 6 minutes)

◦ Lesson Recap: Writing and Executing Tests (video, 0 minutes)

◦ Lesson Introduction: Writing Useful Tests (video, 0 minutes)

◦ Using Plan Asserts in pytest (video, 5 minutes)

◦ Writing Test Classes (video, 4 minutes)

◦ Test Classes vs. Test Functions (video, 3 minutes)

◦ Parameterizing Tests (video, 7 minutes)

◦ Lesson Recap: Writing Useful Tests (video, 0 minutes)

◦ Lesson Introduction: Testing Failures (video, 0 minutes)

◦ Test Failure Output (video, 5 minutes)

◦ Python Debugging with PDB (video, 5 minutes)

◦ Other pytest Runner Options (video, 3 minutes)

◦ pytest Fixtures (video, 6 minutes)

◦ Lesson Recap: Testing Failures (video, 0 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Quiz-Introduction to Testing (quiz, 30 minutes)

◦ Quiz: Writing Useful Tests (quiz, 30 minutes)

◦ Quiz- Testing Failures (quiz, 30 minutes)

◦ Python Testing (quiz, 30 minutes)

◦ Testing Conventions (ungraded lab, 60 minutes)

◦ Testing with Pytest (ungraded lab, 60 minutes)

◦ Test Failures (ungraded lab, 60 minutes)

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Introduction to Pandas and NumPy

• Module 4 (7 hours to complete)

◦ Lesson Introduction: Basic Pandas Usage (video, 0 minutes)

◦ Introduction to Pandas (video, 5 minutes)

◦ Loading Data into Pandas (video, 5 minutes)

◦ Writing Data from Pandas DataFrames (video, 3 minutes)

◦ Exploratory Analysis with Pandas (video, 6 minutes)

◦ Lesson Recap: Basic Pandas Usage (video, 0 minutes)

◦ Lesson Introduction: Working with DataFrames (video, 0 minutes)

◦ Common DataFrame Operations (video, 7 minutes)

◦ Manipulating Text in DataFrames (video, 4 minutes)

◦ Applying Functions with Pandas (video, 3 minutes)

◦ Visualizing Data with Pandas (video, 4 minutes)

◦ Lesson Recap: Working with DataFrames (video, 0 minutes)

◦ Lesson Introduction: NumPy Basics (video, 0 minutes)

◦ Introduction to NumPy Arrays (video, 5 minutes)

◦ Common NumPy Array Operations (video, 3 minutes)

◦ More NumPy Array Operations (video, 6 minutes)

◦ Lesson Recap: NumPy Basics (video, 0 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Quiz - Basic Pandas Usage (quiz, 30 minutes)

◦ Quiz-Working with DataFrames (quiz, 30 minutes)

◦ Quiz-NumPy Basics (quiz, 30 minutes)

◦ Pandas and NumPy (quiz, 30 minutes)

◦ Introduction to Pandas (ungraded lab, 60 minutes)

◦ Pandas DataFrames (ungraded lab, 60 minutes)

◦ NumPy (ungraded lab, 60 minutes)

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Applied Python for MLOps

• Module 5 (9 hours to complete)

◦ Lesson Introduction: APIs and SDKs (video, 0 minutes)

◦ Installing Azure Command-Line Interface (CLI) (video, 6 minutes)

◦ AzureML Studio with Python (video, 6 minutes)

◦ Hugging Face Transformers (video, 6 minutes)

◦ Hugging Face Datasets (video, 8 minutes)

◦ Azure Open Datasets (video, 6 minutes)

◦ Lesson Recap: APIs and SDKs (video, 0 minutes)

◦ Lesson Introduction: Automation with Command-Line Tools (video, 0 minutes)

◦ Creating a Single File Script (video, 4 minutes)

◦ Using the ArgParse Framework (video, 6 minutes)

◦ Declaring Dependencies (video, 3 minutes)

◦ Using the Click Framework (video, 7 minutes)

◦ Packaging your Project (video, 4 minutes)

◦ Solving a Machine Learning Problem with a CLI Tool (video, 8 minutes)

◦ Lesson Recap: Automation with Command-Line Tools (video, 0 minutes)

◦ Lesson Introduction: Building Machine Learning APIs (video, 0 minutes)

◦ Introduction to Flask Framework (video, 6 minutes)

◦ Building an API with Flask (video, 8 minutes)

◦ Introduction to the FastAPI Framework (video, 7 minutes)

◦ Building an API with FastAPI (video, 6 minutes)

◦ Python API Best Practices (video, 7 minutes)

◦ Lesson Recap: Building Machine Learning APIs (video, 0 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Key Terms (reading, 10 minutes)

◦ External Lab: GPU Powered MLOps Template (reading, 10 minutes)

◦ Lesson Reflection (reading, 10 minutes)

◦ Next Steps (reading, 10 minutes)

◦ Quiz-Working with APIs and SDKs (quiz, 30 minutes)

◦ Quiz-Automating with the CLI (quiz, 30 minutes)

◦ Quiz-Working with GitHub GPU MLOps Template (quiz, 30 minutes)

◦ Automation with Python (quiz, 30 minutes)

◦ MLOps CLI (ungraded lab, 60 minutes)

◦ Linux Desktop Sandbox (ungraded lab, 60 minutes)

◦ Jupyter Final Sandbox (ungraded lab, 60 minutes)

◦ VSCode Final Sandbox (ungraded lab, 60 minutes)