Coursera

Advanced Tool Development and Integration

Coursera

Advanced Tool Development and Integration

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 assignments

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

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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Instructor

Professionals from the Industry
133 Courses 24,901 learners

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