Video course · 10 chapters · 49 min · certificate
Build Agentic AI Flows & Crews with CrewAI and NVIDIA Nemotron
Agentic AI with CrewAI and NVIDIA Nemotron: flows versus crews, a hands-on research crew, human-in-the-loop tuning, human in versus on the loop, choosing efficient models, scaling and evaluating agents, and production challenges.
What you'll learn
- Explain agentic workflows, flows and crews
- Build a flow and a research crew
- Add human-in-the-loop feedback
- Choose efficient models like Nemotron
- Scale and evaluate agents
- Tackle production challenges
Chapters
10 chapters · 49:21-
1:01
01Intro Members
Introduction
Livestream start and guests.
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2:51
02Concepts Members
Agentic workflows overview
Flows and crews in CrewAI.
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4:36
03Build Members
Building flows
A hands-on demo of building a flow for a real use case.
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5:03
04Crews Members
Research crew
Implementing a research crew.
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4:42
05Feedback Members
Human-in-the-loop and tuning
Adding human feedback and tuning a deployed crew.
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4:53
06Oversight Members
Human in versus on the loop
Different levels of human oversight.
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9:17
07Models Members
Model efficiency and selection
Mixing models and the trend to small efficient models.
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7:12
08Scale Members
Scaling and evaluating agents
More agents isn't automatically better; evaluate.
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4:27
09Production Members
Production challenges
Challenges in production and how efficient models help.
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5:19
10Wrap-up Members
Wrap-up and resources
Community resources and next steps.
Jobs this course suits
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