Building APIs with Python Fast Track
Retail Price: $2,195.00
Next Date: 02/04/2026
Course Days: 3
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Who Should Attend
• Backend Developers
• Software Engineers
• Full-Stack Developers
• Data Scientists/Analysts
• DevOps Engineers/Automation Specialists
• Technical Leads or Product Managers
What You’ll Learn
• Apply foundational Python concepts directly to API development.
• Design and build secure, database-backed APIs using modern Python frameworks.
• Implement user authentication and protect API routes.
• Containerize applications for consistent, repeatable deployments.
• Integrate API development into an automated CI/CD workflow.
Prerequisites
• Recommended Prerequisite: Python Basics
• Coding experience in another language serves as an adequate prerequisite
Outline
Python Fundamentals for APIs
• Lecture: Practical Application of Lists
• Lecture + Lab: Lists
• Lecture: Practical Application of Dict
• Lecture + Lab: Dictionaries
• Challenge: List and Dict Modeling
• Lecture + Lab: Your First API Request
• Lecture: Control Flow and Functions (NEW-LECTURE)
• Lecture + Lab: Modules, Libraries, and Exception Handling
Consuming APIs
• Lecture: Python Data sets vs JSON
• Lecture + Lab: Python Data to JSON file
• Lecture + Lab: requests library - RESTful GET and JSON parsing
• Lecture + Lab: requests library - Open APIs
• Lecture + Lab: requests library - GET vs POST to REST APIs
• Lecture + Lab: Secure API Requests with the requests library
Building RESTful APIs
• Lecture: Intro to Flask
• Lecture + Lab: Building APIs with Python
• Lecture: Learning sqlite3
• Lecture + Lab: Tracking API Data with sqlite3
• Lecture + Lab: Tracking Inventory with sqlite3
Securing and Managing APIs
• Lecture + Lab: APIs and Dev Keys
• Lecture + Lab: RESTful APIs and Dev Keys
• Lecture + Lab: Flask Sessions
• Lecture + Lab: Flask Uploading and Downloading Files
• Lecture + Lab: Securing Your API
Production Readiness
• Lecture + Lab: Running Flask in a Docker Container
• Lecture + Lab: Flask and waitress
• Lecture + Lab: Automating Deployment with CI/CD
Advanced and Optional Topics
• Lecture + Lab: Introduction to FastAPI
• Lecture + Lab: Asynchronous API Requests with asyncio
• Lecture + Lab: Using Swagger for API Documentation
• Lecture + Lab: Using Jinja2 for Dynamic Content