Coursera

Building Your First AI Agent with OpenAI

Coursera

Building Your First AI Agent with OpenAI

Included with Coursera Plus

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
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

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

February 2026

Assessments

10 assignments¹

AI Graded see disclaimer
Taught in English

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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 4 modules in this course

As a new Associate Consultant with the AI consultancy Praxis AI, you will address the limitations of Innovate Logistics' failing customer support chatbot. Your goal is to apply the ACTOR framework to diagnose why the current system fails and design a comprehensive architectural blueprint for a new autonomous agent, utilizing the five core components of intelligent AI systems.

What's included

2 videos7 readings3 assignments

Stepping into the role of Prototype Developer at Praxis AI, you will write the code that powers the Innovate Logistics agent's core existence. You will build a production-grade API client that prioritizes security, cost management, and reliability, and then construct a conversational agent capable of maintaining context and following complex behavioral instructions via system prompts.

What's included

3 videos3 readings2 assignments2 ungraded labs

Acting as an Integration Specialist for Praxis AI, you will give the Innovate Logistic agent the tools it needs to solve real business problems. You will implement the Web Search tool for real-time shipping data, deploy File Search (RAG) to access internal policy documents, and utilize the Code Interpreter to build a separate internal agent that analyzes performance logs for management.

What's included

3 videos4 readings3 assignments3 ungraded labs

In the role of Lead Architect at Praxis AI, you will refactor the disparate tools of the Innovate Logistics Agent into a single, unified intelligent system. You will write the decision-making logic that orchestrates tool usage, implements cost-saving caching and resilient fallback patterns, and validates the final agent through a rigorous mock-and-live testing strategy.

What's included

2 videos5 readings2 assignments1 ungraded lab

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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.