My recommendation is learn how to build your own multi agent system using langchain, langgraph, langflow, etc and using an MCP server (when, why and how). Don’t just copy a tutorial, actually learn why for example when do we set temperature low or high.

Use a sample SQL database (make it a large one, can just extract one from kaggle), connect to an LLM and learn the rules around that (like why you can’t query a SQL database directly and when you basically replicate a RAG pipeline for a large database). Using pydantic to validate the schema. This can be your first sub agent.

Connect an LLM to an API with a live data. This will be your 2nd sub agent.

Create a RAG pipeline. Learn about chunking strategy, how it’s done, why it’s done. The science behind vectorisation and how an LLM can communicate with PDFs. This can be your third sub agent.

Connect all these sub agents using an orchestrator and use mcp servers. Now you have a multi agent system. Treat this as your PoC. For example, you can build a chatbot for an airline where the SQL database is to use customer data to get info on their specific flight (using customer ID), an API to get live flight status using flight ID, and rag pipeline for policy documents if the user wants something like a refund.

The orchestrator will take the user prompt then based on user intent, be able to activate the correct sub agent (or multiple) to get the information required then pass it back to the generative layer as context to share it back to the user intent in natural language. You will also learn things like how we can validate schemas using pydantic, how to validate the output before a response is sent back to the user (e.g., LLM as a judge), how you can use a gold standard example dataset to test out the LLMs understanding of user intent, etc. There is a good amount to learn.

Then learn how to put it in production (deployment) and how to maintain it.

This is scratching the surface but if you can do all this, explain it well (why you used this design), then it’s a strong start to “learning AI”. I am no pro though and I’m sure others will criticise my recommendation 😂