Course overview
In this course, you’ll learn how to work with APIs using Python, starting with understanding API structures and building up to practical data retrieval and analysis.
You’ll get hands-on experience with the Python requests library, handling JSON data, filtering results, managing errors, and working with authentication. Each lesson is grounded in real-world scenarios so you can apply what you learn right away.
By the end, you’ll be comfortable extracting and working with data from a variety of sources for both analysis and application development. The course wraps up with a guided project where you’ll build a multi-provider LLM gateway.
Key skills
- Understanding and interacting with APIs using Python
- Effective data handling with the Python requests library and JSON
- Query parameters and data filtering
- Navigating authentication, API keys, and understanding rate limits in API Usage
Course outline
APIs for AI Applications [3 lessons]
Optional Query Parameters and Data Filtering 2h
Lesson Objectives- Understand the purpose and usage of optional query parameters in API requests.
- Apply query parameters to filter API data requests.
- Handle invalid parameter values and troubleshoot issues.
- Implement pagination in API requests.
Authentication, API Keys, and Rate Limits 1h
Lesson Objectives- Understand the concept of authentication in API usage.
- Obtain and use API keys for accessing protected data.
- Navigate API documentation to understand basic and advanced features.
- Understand API quotas and how they impact data retrieval.
- Understand the concept of rate limits in API usage.
- Apply techniques to avoid exceeding rate limits.
Guided Project: Build a Multi-Provider LLM Gateway 2h
Lesson Objectives- Build a simple gateway layer for multiple LLM providers
- Implement direct HTTP requests using the requests library
- Handle provider-specific authentication and request formatting differences
- Parse and normalize responses from different API structures
- Design custom exceptions for clear error handling
Projects in this course
Build a Multi-Provider LLM Gateway
Build a unified LLM gateway that abstracts TogetherAI and Anthropic APIs behind a single interface. Learn to handle provider-specific authentication, request formats, and response parsing while maintaining consistent output across different LLM providers.
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