Are you ready to build AI that thinks, acts, and gets things done? In this course, you’ll learn how to design agents that go beyond language generation to reason, take action, and tackle real-world tasks using tools and data.
Fundamentals of Building AI Agents
Fundamentals of Building AI Agents
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
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9,679 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(51 reviews)
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Develop AI agents that can reason and perform tasks independently
Implement tool calling and chaining to create structured AI workflows
Utilize built-in LangChain agents to analyze data, generate visualizations, and execute database queries
Apply best practices in prompt engineering and tool calling to enhance AI agent performance
Skills you'll gain
Details to know
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Assessments
11 assignments
Taught in English
Recently updated!
June 2025
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- 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
There are 3 modules in this course
In this module, you'll discover what AI Agents are, compare AI agent system designs, and learn when, and when not, to use them. You'll learn how tool calling and chaining work together in LangChain to create powerful AI systems. You'll learn to connect language models with external tools and gain skills you can use to build systems that perform precise operations while maintaining natural conversational abilities.
What's included
8 videos2 readings4 assignments1 app item6 plugins
In this module, you'll orchestrate components through structured workflows using LangChain Expression Language (LCEL). You’ll learn how to manually invoke tools in LangChain by parsing large language model (LLM) outputs, validating inputs, and executing functions. You’ll build a real-world tool calling agent that includes workflows where the LLM suggests tools while you retain full control for processing the query.
What's included
4 videos1 reading4 assignments3 app items3 plugins
In this module, you'll learn how to use LangChain's built-in DataFrame and SQL agents for data analysis and database operations. Discover how these pre-built agents implement natural language interfaces for conversational data analysis, making insights available to users without technical expertise. You'll learn how to build AI-driven applications that convert conversational queries into structured data operations, enhancing usability and decision-making.
What's included
4 videos3 readings3 assignments2 app items3 plugins
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4.7
51 reviews
- 5 stars
74.50%
- 4 stars
19.60%
- 3 stars
3.92%
- 2 stars
1.96%
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Showing 3 of 51
DP
5
Reviewed on Oct 7, 2025
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
AC
5
Reviewed on Oct 1, 2025
It provides enough general and specific knowledge to create complex AI Agents. A great entry point to Agentic AI
RR
5
Reviewed on Sep 27, 2025
Great course on fundamentals. Good practical exercises.
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