Course

Building GeoAI Agents for Fun & Profit

Shoaib Burq

Geospatial Software Engineer

Learn to build AI Agents for location-based intelligence

As we build ever more sophisticated agentic applications, where does location data sit? New protocols, standards, and UX patterns have emerged — many built for text-first apps. This course tackles what changes when maps, routing APIs, and geocoding join the agent stack: MCP tool servers, AG-UI chat UIs, multi-agent A2A, and context engineering so heavy GeoJSON never bloats the model. Hands-on labs use OpenRouteService, Pydantic AI, CopilotKit, and MapLibre — in Colab or locally.

What you’ll learn

Ship map-and-chat GeoAI apps: MCP geospatial tools, Pydantic AI agents, and AG-UI UIs, with context engineering for GeoJSON.

  • Implement FastMCP tools over OpenRouteService routing with typed parameters and small JSON results the model can read.

  • Run a detached SSE MCP server on :8004 and connect hosts (Colab, Cursor, pydantic-ai) via MCPToolset.

  • Smoke-test tools in a notebook with await before wiring an agent, same logic as the stdio server.

  • Attach MCP toolsets to a Pydantic AI agent so the model plans calls and reads compact tool results.

  • Expose the agent to the browser over AG-UI and stream replies through a CopilotKit chat UI.

  • Swap LLM providers via configuration without rebuilding the agent stack.

  • Use AG-UI client tools so the browser draws routes while the model only sees summaries.

  • Apply context engineering: thin MCP tool outputs to the LLM, full geometry via a separate channel.

  • Deliver distance, duration, and a visible map—not raw GeoJSON in the conversation.

  • Resolve landmarks and addresses to coordinates through MCP geocoding before calling routing tools.

  • Support natural-language prompts like “drive from the station to the square” end to end.

  • Handle ambiguous locations by confirming with the user instead of guessing.

  • Use an orchestrator agent over AG-UI that delegates routing and weather to A2A specialist agents.

  • Keep typed summaries in the orchestrator’s context while geometry stays in specialist-side caches.

  • Combine trip routing with destination context—travel time plus conditions at arrival.

  • Start with in-process tools to learn the agent loop; adopt MCP when multiple apps need the same catalog.

  • Use A2A when a whole domain—credentials, retries, policy—should sit behind another agent.

  • Leave with a clear map of which protocol handles tools, user chat, and agent-to-agent work.

Learn directly from Shoaib

Shoaib Burq

Shoaib Burq

Contact

Shoaib Burq · CTO, Decision Labs · Geobase · agentic geospatial AI instructor

Geoscience Australia
European Space Agency (ESA)
Geoscience Australia
Hugging Face
Morgan Stanley
See all products from Shoaib Burq

Who this course is for

  • Developers building location-aware apps who want MCP tools, AG-UI chat, and maps—without dumping raw geometry into the model.

  • GIS and geospatial analysts who know maps and APIs and want a practical path to conversational assistants users can trust.

  • Tech leads evaluating MCP, AG-UI, and A2A for geo workflows—when to share tools, split specialists, and keep models focused.

What's included

Shoaib Burq

Live sessions

Learn directly from Shoaib Burq in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

8 live sessions • 19 lessons • 4 projects

Week 1

Jul 13—Jul 19

    Before you start: Set up your geo agent stack

    • Jul

      14

      Setup, troubleshooting and Q&A

      Tue 7/145:00 PM—6:00 PM (UTC)
    5 more items • Free preview

    Week 1 — MCP: tool calling

    • Jul

      18

      Live 1: MCP tools + Exercise 1

      Sat 7/183:00 PM—5:30 PM (UTC)
    4 more items

    Week 1 — AG-UI: chat and map

    • Jul

      18

      Live 1b: AG-UI + routing map (Exercises 2 and 3)

      Sat 7/186:30 PM—9:00 PM (UTC)
    3 more items

Week 2

Jul 20—Jul 26

    Week 2 — MCP: multi-tool servers

    • Jul

      22

      Office hour: Week 1 labs + Project 1 (Americas)

      Wed 7/225:00 PM—6:00 PM (UTC)

    • Jul

      22

      Optional: Office hour: Week 1 (EU / Africa)

      Wed 7/222:00 PM—3:00 PM (UTC)
      Optional

    • Jul

      25

      Live 2: Multi-tool MCP + AG-UI (Exercise 5)

      Sat 7/253:00 PM—5:30 PM (UTC)
    4 more items

    Week 2 — A2A: orchestration

    • Jul

      25

      Live 2b: A2A orchestration + capstone kickoff (Exercise 6)

      Sat 7/256:30 PM—9:00 PM (UTC)
    4 more items

Schedule

Live sessions

1-2 hrs / week

    • Wed, Jul 29

      5:00 PM—6:00 PM (UTC)

    • Tue, Jul 14

      5:00 PM—6:00 PM (UTC)

    • Sat, Jul 18

      3:00 PM—5:30 PM (UTC)

Projects

2-4 hrs / week

Async content

4-6 hrs / week

Frequently asked questions

Maven for Teams

Reimbursement

Get your company to pay

Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$500

USD

Jul 13—Jul 29
Enroll