Production Readiness: Testing, Security and Deployment

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GitHub

Production Readiness: Testing, Security and Deployment

GitHub

Instructor: GitHub

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Create automated test suites for agent behavior using mocked sessions.

  • Implement telemetry and logging strategies to diagnose behavioral drift.

  • Design security architectures with sandboxing, RBAC, and compliance controls.

  • Build and document a production-ready agent system integrating all programming skills.

Details to know

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Assessments

11 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Building Agentic AI Apps with GitHub Copilot SDK Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from GitHub

There are 5 modules in this course

Create automated test suites that validate agent behavior using mocked sessions and deterministic tool responses. You will learn to test the three hardest aspects of agent systems: planning accuracy, tool choice, and output quality, without depending on live model calls. The result is fast, repeatable, continuous integration-ready testing for agent workflows.

What's included

6 readings2 assignments

Implement telemetry and logging that capture the full decision trace of agent execution: every planning step, tool invocation, model response, and outcome, to diagnose behavioral drift in production. You will instrument agent systems with OpenTelemetry, design meaningful dashboards, and detect when agent behavior changes unexpectedly.

What's included

4 readings3 assignments

Design security architectures for agent deployment, including sandboxed execution environments, role-based access controls, and compliance review processes. You will learn to isolate agent execution, restrict access by role, and conduct the risk assessments that enterprise deployments require, the governance layer that makes agent systems trustworthy.

What's included

4 readings3 assignments

Build and document a production-ready agent system that integrates custom tools, Model Context Protocol (MCP) server connectivity, multi-agent orchestration, automated testing, observability, and security controls. This culminating short course produces a portfolio-ready artifact that demonstrates end-to-end agent engineering capability.

What's included

7 readings2 assignments

Produce a production deployment package and the accompanying documentation suite for an agent system. This project focuses on the governance artifacts that enterprise teams need: a security risk assessment, a test strategy document, an observability runbook, and a deployment readiness checklist.

What's included

3 readings1 assignment

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Instructor

GitHub
GitHub
6 Courses5 learners

Offered by

GitHub

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.