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Production Deployment and Advanced Patterns

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Production Deployment and Advanced Patterns

This course is part of Build Powerful AI Agents with OpenAI Tools Professional Certificate

Instructor: Professionals from the Industry

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your Software Development expertise

This course is part of the Build Powerful AI Agents with OpenAI Tools 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 Coursera

There are 3 modules in this course

The Production Deployment and Advanced Patterns course is designed for developers, engineers, and technical product builders who are new to Generative AI but already possess intermediate programming knowledge, basic Python proficiency, and familiarity with development tools and APIs, and who want to build, deploy, and scale AI-powered agents in real-world applications.

The course equips learners with the skills to transform AI agents into professional-grade applications ready for real-world use. Starting with user interface development, learners build interactive agent interfaces using Streamlit for rapid prototyping and Flask APIs for scalable integration across platforms. They then explore advanced UI patterns such as streaming responses, interactive visualizations, responsive design, and effective expectation management to create seamless agent experiences. The course progresses to packaging and distributing agents through the GPT Store, emphasizing testing, optimization, deployment, and monitoring strategies for reliability and growth. Learners also master enterprise-grade integration, including role-based access control, audit logging, compliance documentation, and cost-performance management at scale. Finally, the course introduces DSPy, shifting from manual prompt engineering to programmatic, self-optimizing agent development with embedded ethical safeguards and continuous improvement pipelines. By the end, learners will have the skills to build secure, scalable, and future-proof AI systems.

Module details

As a Senior Consultant at Praxis AI, your mandate is to rescue "CityScout," a fragile travel agent prototype that crashes under real-world use. You will take a junior developer's messy, stateless Command Line Interface (CLI) script and refactor it into a robust production architecture, mastering the critical transition from Scripting to Application Engineering. Your mission is to implement State Persistence to stabilize the web interface, build a Headless Flask API to support mobile integration, and engineer Streaming Responses to solve latency issues, ensuring the system can handle concurrency and errors at scale.

What's included

3 videos5 readings3 assignments3 ungraded labs

3 videosTotal 12 minutes

1.1 Managing Session State in Streamlit5 minutes
1.5 Building a Flask REST API for Multi-User Sessions 3 minutes
1.10 Building Real-Time LLM Token Streaming4 minutes

5 readingsTotal 49 minutes

1.2 The Stateless Web and Session Management12 minutes
1.6 RESTful Agent Design10 minutes
1.7 Specification-Driven Development: Building with Precision5 minutes
1.12 Spec-Driven Development: The Verification Layer12 minutes
1.15 Beyond Localhost: Distributing Agents via the GPT Store10 minutes

3 assignmentsTotal 120 minutes

1.4 State Desync30 minutes
1.9 Endpoint Forensics30 minutes
1.14 Module 1 Assessment60 minutes

3 ungraded labsTotal 120 minutes

1.3 The Interface Refactor30 minutes
1.8 The API Builder45 minutes
1.13 The UX Polish45 minutes

Vitality Health has deployed TriageBot as a pilot program, but an audit reveals critical security gaps. Patient data (PHI) is being logged in plain text, there is no access control, and a billing spike shows the API is being abused. You must implement enterprise-grade security before the HIPAA auditors return. You will implement Role-Based Access Control (RBAC) to separate Doctors from Patients, sanitize all logs to remove Protected Health Information (PHI), and rate-limit the API to prevent DDoS attacks on critical infrastructure.

What's included

3 videos3 readings3 assignments3 ungraded labs

3 videosTotal 14 minutes

2.1 Locking the Door4 minutes
2.6 The Paper Trail 5 minutes
2.10 The Bill Shock5 minutes

3 readingsTotal 37 minutes

2.2 Enterprise Security Patterns 15 minutes
2.3 Policy as Code10 minutes
2.7 Compliance & Audit Logging12 minutes

3 assignmentsTotal 120 minutes

2.5 Access Control30 minutes
2.9 Log Analysis30 minutes
2.13 Enterprise Breach60 minutes

3 ungraded labsTotal 135 minutes

2.4 The Gatekeeper45 minutes
2.8 The Compliance Check45 minutes
2.12 The Throttler45 minutes

The Global Freight Chief Technology Officer (CTO) requires "Six Sigma" reliability for their "RouteOpti" agent. The current implementation, built using the standard OpenAI Agents Software Development Kit (SDK), relies on a fragile, 200-line hardcoded instruction string and hallucinates arrival times 20% of the time. In this module, you will refactor this legacy system into a DSPy program. You will replace manual prompt engineering with typed Signatures, implement algorithmic metrics to enforce ethical guardrails, and build a self-optimizing pipeline that learns from its mistakes to achieve high-accuracy results.