Fundamentals of Building AI Agents

Fundamentals of Building AI Agents

This course is part of IBM RAG and Agentic AI Professional Certificate

Included with Coursera Plus

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

What you'll learn

Implement function calling and chaining to create structured AI workflows
Develop AI agents that manually invoke tools for greater control over execution and reliability
Utilize built-in LangChain agents to analyze data, generate visualizations, and execute database queries
Apply best practices in prompt engineering and tool orchestration to enhance AI agent performance

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your Software Development expertise

This course is part of the IBM RAG and Agentic AI 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 IBM

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

There is 1 module in this course

Ready to build smart and task-driven AI?

Step into the world of AI agents and go beyond language generation to create systems that interact with tools, run code, query databases, and solve real problems. In this hands-on course, you'll learn to build structured AI workflows using function calling, chaining, and tool orchestration. You'll start by exploring how large language models trigger external actions through LangChain’s Expression Language. Next, you'll learn to manually manage tool calls for greater control and reliability. Finally, you'll use built-in agents to analyze data, generate visualizations, and run SQL queries using natural language. Gain practical experience by creating agents like math assistants, recipe generators, and data explorers. These real-world projects will help you build production-ready skills. With tools like LangChain, Flask, and Gradio, you’ll design AI applications that are interactive, reliable, and useful. Enroll now and start building AI agents that go beyond words and take meaningful action!

What's included

1 app item

Offered by

IBM

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Frequently asked questions

With skills in creating AI agents that perform tasks like interacting with external tools, running code, and automating processes, you can pursue exciting roles such as AI developer, automation specialist, or technical product manager focused on building intelligent applications that solve real-world problems.

Not at all! If you're already familiar with Python, you're all set. This course teaches you how to create AI agents using practical tools like LangChain, Flask, and Gradio. You won’t need an advanced machine learning background to start building real-world, action-oriented AI systems.

AI agent development involves more than just building apps. It focuses on creating intelligent systems that can automatically perform tasks by calling external tools, executing code, and managing data. While you'll still use Python and frameworks like Flask, you’ll also learn how to structure AI workflows and implement function calling and chaining, enabling your apps to take action and make decisions autonomously.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.

Fundamentals of Building AI Agents

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your Software Development expertise

Earn a career certificate

There is 1 module in this course

Foundations of Function Calling and Chaining

What's included

1 app itemTotal 45 minutes

Offered by

Explore more from Software Development

Agentic AI Fundamentals with LangChain and LangGraph

Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

Advanced RAG with Vector Databases and Retrievers

Introduction to Vector Databases for RAG

Why people choose Coursera for their career

New to Software Development? Start here.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

More questions

Fundamentals of Building AI Agents

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your Software Development expertise

Earn a career certificate

There is 1 module in this course

Foundations of Function Calling and Chaining

What's included

Offered by

Explore more from Software Development

Agentic AI Fundamentals with LangChain and LangGraph

Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

Advanced RAG with Vector Databases and Retrievers

Introduction to Vector Databases for RAG

Why people choose Coursera for their career

New to Software Development? Start here.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What roles can I pursue after learning AI agent development?

Do I need prior machine learning experience to build AI agents?

How is building AI agents different from traditional software development?

More questions