The Advanced Tool Development and Integration course builds on foundational agent skills by focusing on how to create, customize, and integrate tools into intelligent agents. Learners begin by designing custom functions and APIs that extend agent capabilities beyond built-in options, using best practices for clarity, reliability, and safety.

Advanced Tool Development and Integration

Advanced Tool Development and Integration
This course is part of Build Powerful AI Agents with OpenAI Tools Professional Certificate

Instructor: Professionals from the Industry
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Recommended experience
Skills you'll gain
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February 2026
10 assignments
See how employees at top companies are mastering in-demand skills

Build your Software Development expertise
- 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
You are an AI consultant building an agent for Innovate Logistics, a company struggling with a "naive" AI agent that cannot answer specific business questions like calculating shipping costs. Your mission is to fix this by building Agent-Ready Functions—proprietary tools that bridge the gap between the LLM and the company's internal logic. In this module, you will learn to create the "Function Contract" by writing detailed JSON specifications for the AI and robust, validated Python implementations that fulfill them.
What's included
3 videos2 readings3 assignments3 ungraded labs
You are an AI consultant for Praxis AI, beginning a new project for the client FinCorp. Your task is to build an executive-level Financial Analysis Agent. The challenge shifts from simply building a single reliable tool to architecting an agent capable of autonomously choosing from and sequencing multiple custom tools to handle complex financial analysis queries.
What's included
3 videos3 readings3 assignments3 ungraded labs
You are continuing in your consulting role, this time working with Execu-Pal, a startup with an AI executive assistant prototype that currently relies on insecure static API keys. Your mission is to re-architect the system to securely access user-specific data, such as private emails and Slack messages, by implementing OAuth 2.0 Authorization. To ensure the platform is future-proof and interoperable, you will also standardize the entire tool suite using the Model Context Protocol (MCP), enabling the agent to work seamlessly across different AI models.
What's included
2 videos2 readings2 assignments2 ungraded labs
You return as an AI consultant working with Execu-Pal for Phase 2 of the engagement. While the agent now has tools, users are complaining that it is "forgetful" (asking for meeting preferences every time) and fragile (crashing when APIs time out). Your goal is to re-architect the agent into a production-grade system. You will implement a Dual-Layer Memory system to persist user context across sessions and apply Reliability Patterns (Retries, Rate Limits, and Circuit Breakers) to ensure the agent remains robust even when external services fail.
What's included
3 videos2 readings2 assignments3 ungraded labs
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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