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what is ailearninglab-workshop fr?

sdkdeepa/ailearninglab-workshop — explained in plain English

Analysis updated 2026-05-18

24Audience · vibe coderComplexity · 2/5Setup · moderate

tl;dr

Workshop materials for building AI agents with Google's Agent Development Kit (ADK). Covers single agents, parallel agents, routing, memory, and using one agent as a tool for another.

vibe map

mindmap
  root((repo))
    What it does
      AI agent workshop
      Google ADK based
      Two setup paths
    Topics
      Single agents
      Parallel agents
      Agent as tool
    Setup
      Gemini API key
      Vertex AI trial
    Resources
      YouTube recording
      Separate guides
    Audience
      Workshop attendees
      AI beginners

Code map

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what do people make with this?

VIBE 1

Learn to build and manage AI agents using Google's ADK framework.

VIBE 2

Practice creating sequential, parallel, and routing agents.

VIBE 3

Explore how one AI agent can be used as a tool by another agent.

VIBE 4

Follow a structured workshop with video and written guides.

what's the stack?

Google ADKGemini APIVertex AI

how it stacks up fr

sdkdeepa/ailearninglab-workshop0311119/free_registertool18597990650-lab/multi-agent-game
Stars242424
LanguagePythonPython
Setup difficultymoderatehardmoderate
Complexity2/54/53/5
Audiencevibe coderdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

Requires either a Gemini API key or a Google Cloud trial account with Vertex AI access.

in plain english

{"i":0,"repo":"sdkdeepa/AIlearninglab-workshop","stars":24,"lang":"unknown","ok":true,"char_count":859,"text":"This repository is a companion to an AI learning lab workshop held on July 15th. It provides materials and workarounds for attendees. The workshop focuses on Google's Agent Development Kit, commonly called ADK, and teaches participants how to build and manage AI agents.\n\nThe repo offers two paths for building the projects. Participants can use a Gemini API key, which involves a separate guide file linked in the readme. Alternatively, they can use Vertex AI through a cloud trial account, which also has its own linked guide. These instructions let attendees choose the setup that works best for their situation.\n\nThe workshop covers a range of topics related to AI agents. It starts with single agents and then moves into more complex structures like sequential agents, parallel agents, and loop agents. The material also covers routing agents and custom agents. One topic, called agent-as-tool, explores how an AI agent can be used by another agent as if it were a tool.\n\nAdditional topics include memory, which relates to how agents retain information, and the Model Context Protocol, referred to as MCP. A recording of the workshop is available on YouTube, linked through a thumbnail image in the readme. The readme is sparse and does not provide details on the specific code or examples used during the event.","error":null}

prompts (copy fr)

prompt 1
Help me set up Google's Agent Development Kit using a Gemini API key so I can start building my first AI agent from this workshop.
prompt 2
Walk me through the difference between sequential agents, parallel agents, and loop agents in Google ADK with simple examples.
prompt 3
Explain the agent-as-tool concept from this workshop and show me how to make one AI agent call another agent like a tool.
prompt 4
I want to use Vertex AI with a cloud trial account for this ADK workshop. Guide me through the setup steps.
prompt 5
Help me understand Model Context Protocol (MCP) and how it relates to giving AI agents memory.

Frequently asked questions

what is ailearninglab-workshop fr?

Workshop materials for building AI agents with Google's Agent Development Kit (ADK). Covers single agents, parallel agents, routing, memory, and using one agent as a tool for another.

How hard is ailearninglab-workshop to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is ailearninglab-workshop for?

Mainly vibe coder.

peek the repo → explain another one

This repo across BitVibe Labs

double-check against the repo, no cap.