Agentic AI (Andrew Ng)
Agentic AI (Andrew Ng)
Clear thinking on agent system design, not tied to one framework.
Andrew Ng's course on agentic design patterns: self-checking, tool use, planning and multi-agent collaboration.
Overview
The course presents four main design patterns for building agent-style AI systems: reflection (reviewing its own results), tool use, planning and multi-agent collaboration, along with how to evaluate and improve the system.
Good for building design thinking before choosing a framework.
Highlights
Design thinking
Not tied to one framework.
Reputable instructor
Andrew Ng.
Includes system evaluation
Measure and improve agents.
What it's for
Designing multi-step AI workflows
For example research, writing and self-review.
Evaluating vendor proposals
Understand enough to ask the right questions.
How to use it
- 1
Open the course page
Click Open official page to go to the DeepLearning.AI page.
- 2
Sign up for an account
Create a free account to save your learning progress.
- 3
Study lesson by lesson
The duration is a few hours; break it up into 30-60 minutes a day.
- 4
Apply it to real work right away
After each lesson, try the technique you just learned on a specific task of yours.
FAQ
Is this course free?
Yes, free access on DeepLearning.AI.
How long does it take?
A few hours.
Is there a Vietnamese version?
English, with subtitles.
Useful links
Want to apply this in your business?
2dm looks at your workflows, picks the right tools and sets them up with your team. The first call is free.
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