Technical AIintermediateVideo + quiz
LangChain v1: Build, Evaluate and Ship AI Agents
For Python developers who have called an LLM API.
Watch the first lesson freeWelcome · 3 minSign in to watch one lesson from this course free.
What you will be able to do
Create agents with create_agent, tools and middleware guardrailsBuild retrieval as a fixed pipeline and as a tool, with citationsAdd short and long term memory with LangGraph and a human approval stepTrace and evaluate an agent with LangSmith datasets and evaluatorsApply the security advisories and decide when the plain SDK is the better choiceServe an agent as a streaming API with a small front end, packaged in Docker
Skills you will gain
- LangChain agents
- Middleware
- RAG pipelines
- LangGraph memory
- LangSmith evaluation
- Agent deployment
About this course
For Python developers who have called an LLM API. Learn LangChain as it stands in late 2026: create_agent, tools and middleware, retrieval as a fixed pipeline and as a tool, citations, memory with LangGraph, human approval, then LangSmith tracing and evaluation, the 2025 and 2026 security advisories and when the plain SDK is the better choice. Serve an agent as a streaming API with a small front end, package it in Docker, and finish with a free hands on lab that runs on free tiers or a built in mock mode.
Technical AI
Curriculum
Requirements
Basic Python and a virtual environment
A first call to an LLM API behind you
A terminal and Python 3.12
The habit of asking how you would know it is wrong
What you walk away with
A Yallo AI academy certificate of completion, issued when every lesson is complete and the final assessment is passed at 70% or aboveA public verification page, so a stranger can check the certificate without asking you for a filePDF download, and a one-click share to your LinkedIn profile
Yallo AI academy certifies completion of
LangChain v1: Build, Evaluate and Ship AI Agents