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Building a 12-Factor Agents App in Python

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4 courses

60 practices

11 hours

Learn the 12-Factor Agents methodology by building a complete agentic application in Python. Master structured outputs, function calling, context management, stateless reducers, pause/resume functionality, human-in-the-loop workflows, and API integration with FastAPI and database persistence.

4.74

328 learners

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

AI and Machine Learning Fundamentals

INTERMEDIATE

Autonomous Workflow Automation

ADVANCED

General Programming and Software Engineering

INTERMEDIATE

Tool Integration and Action Execution

Tools you'll use

FastAPI

JSON

Markdown

OpenAI

Pydantic

Python

SQLAlchemy

Course 1

Understanding the 12-Factor Agents Methodology

4 lessons

12 practices

Discover why reliable AI agents require more than delegating work to off‑the‑shelf frameworks. This foundational course introduces the 12‑Factor Agents methodology, distilling lessons that separate flashy demos from production systems. Learn how well‑engineered software augmented with targeted LLM integration—and twelve clear principles—yields maintainable, scalable, and trustworthy agentic apps.

Course 2

Foundations of Agentic Tool Use in Python

4 lessons

20 practices

Master the practical building blocks of agentic systems in Python. Covering Factors 1, 3, 4, 8, and 9, you’ll prompt for structured outputs, define and validate tool schemas, own the context window, and run explicit loops that you control. You’ll also compact execution errors back into context for self-correction, turning natural language requests into reliable tool executions.

Course 3

Developing a Stateless Agent in Python

3 lessons

14 practices

Turn scripts into reusable components by embracing stateless design. With Factors 2, 5, 10, and 12, you’ll externalize prompts, unify execution and business state, and build a reducer-style agent that takes state in and returns state out.

Course 4

Exposing Agents with Simple APIs in Python

5 lessons

14 practices

Expose agents as services reachable from any interface. With Factors 5, 6, 7, and 11, you’ll persist unified state in a database, orchestrate runs via background tasks and REST endpoints, and add pause/resume controls. Wire human responses back into waiting workflows and decouple triggers from UI so web apps, bots, and systems can launch, monitor, and resume runs at scale.

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