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Agentic AI: Build Your First Agentic AI System

Intermediate 1 hours English Course Certificate
SkillsAgentic AIAI agentsAutomationProblem identificationAI systems

Is this course right for you?

Our take
A timely LinkedIn Learning introduction to what 2026 skills reports keep flagging as the fastest-rising area: AI that takes actions, not just answers.

Good for: A timely introduction to agentic AI and where it fits.

Skip if: You want deep agent engineering or production-grade systems.

In roughly an hour it helps you spot business problems that suit agentic AI and build a first, simple agentic system — genuinely useful as an orientation, but no more than that, so don't expect deep agent engineering or anything production-grade. Access comes with a LinkedIn Learning subscription (usually a free trial first; free via many libraries), certificate to your profile included. This is a fast-moving field, so treat the specific tools and practices as a snapshot that will shift (as of 2026).

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About this course

Agentic AI: Build Your First Agentic AI System tackles the skill the 2026 skills reports flag as fastest-rising: AI that takes actions, not just answers. In about an hour it teaches how to identify business problems suited to agents, break systems down, iterate on designs, and apply frameworks for scaling autonomy safely.

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Instructor

AN
Aishwarya Naresh Reganti
LinkedIn Learning instructor

Taught by Aishwarya Naresh Reganti, an applied-AI leader who works on large-scale AI systems, with an enterprise, production-minded lens.

Frequently asked questions

Agentic AI refers to AI systems that can act with some autonomy toward a goal — planning steps, using tools, and making decisions — rather than just responding to a single prompt. An agent might break a task into steps, call tools or APIs, and iterate until it is done. This course introduces the idea and walks you through building a first, simple agentic system to see how it works.

No — it is an introductory, build-your-first-agent course rather than deep AI engineering. It aims to get you hands-on with a simple agentic system to understand the concepts, not to cover advanced architectures or production systems. Some technical comfort helps, since you are building something, but it is pitched as an accessible first step into agentic AI rather than a rigorous engineering course.

It is short — typically an hour or two — as a focused introductory LinkedIn Learning course. That makes it a quick way to understand agentic AI and build a first simple agent, without a large commitment. Given how fast this area moves, treat it as an orientation and expect to keep learning from current sources as agent tooling evolves.

Not by default — it runs on LinkedIn Learning, which is subscription-based — but a free trial is common, and many public libraries and universities give members full access at no cost. Note that building agents may involve calling AI APIs, which can carry small usage costs. Check whether a library card or institution already provides LinkedIn Learning before paying.

Yes, you earn a LinkedIn Learning completion certificate for your profile. Treat it as a marker of effort rather than a formal credential — in a fast-moving area like agentic AI, what matters is being able to actually build and reason about agents. The real value is the hands-on understanding, which shows in what you can build far more than the certificate.
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