I’m excited to announce the release

of our latest LangChain Academy foundations course,

Introduction to LangChain in Python.

We’ve entered a new era of AI, one where our apps don’t just respond,

they think, plan, and act autonomously.

Today, we're building agents – AI systems that can reason

and interact with their environments to get real work done.

Imagine a team of assistants that can summarize your inbox,

schedule meetings, and perform market research 24/7.

In this course, you'll learn to build deployment-ready agents

like these using LangChain.

LangChain is the best way to get started with building agents.

Together with the community, we've learned from production use cases

and identified the essential components an agent needs.

The “create agent” abstraction in LangChain captures these qualities in their simplest form.

In this course, you'll learn how to build agents

using this abstraction and how to customize them with middleware.

The goal of this course is to get you building agents right away.

As we go, we'll assemble a full team of personal assistants,

with each module culminating in a project to build a new one.

In module 1, we're starting with the basics.

Customizing a language model with out-of-the-box arguments

and system prompts,

before adding tools for it to call and short-term memory.

Within 30 minutes, you'll be building a personal chef

that suggests recipes based on pictures of your fridge.

In module 2, your agent will get a little bit more sophisticated

as you learn about MCP, customized memory, and multi-agent systems.

Before you know it, you'll have built an entire team of synchronized

wedding planners using up-to-date flight prices and venue details.

Finally, you'll learn how to level up your agents beyond the prototype stage

using middleware.

This will allow you to customize your agent with dynamic tools, prompts, and models,

introduce human in the loop to gate sensitive actions,

and summarize long conversations to protect your agent's context window.

At the end of module 3, you'll be tasked with creating an email assistant

using middleware that can automate your entire inbox.

We'll then show you a plug and play chat interface you can use to quickly demo

these impressive agents.

I'm excited for you to dive into this new course

and learn how to build agents with LangChain.

You can get started today.