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Building an AI Agent

In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.
Difficulty: Intermediate
Duration: Up to 12 hours and 30 minutes
Students: 166
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Content overview

8 steps
There are 8 Hands-on Labs in this learning path
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
A Practical Introduction to Language Models
Lab for Module 2 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
Building Single Agent Systems
Lab for Module 3 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
Working with Multiple Agents
Lab for Module 4 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
Equipping Agents with Tools
Lab for Module 5 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
Building AI Agents for Good: Ethics, Risk, and Responsibility
Lab for Module 6 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 1h 30m.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 30 minutes
Improving Agentic Systems with RAG & Prompt Engineering
Lab for Module 7 of the Building AI Agents course.
Difficulty: Intermediate. Duration: Up to 2h.
HANDS-ON LAB
Intermediate
Duration: Up to 2 hours
Tracing, Observability, Monitoring & Evaluation in Agentic Systems
Learn about monitoring, observability, and evaluation in agentic AI systems using LangSmith and Tavily.
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