AI Agent Orchestration
Hands-on Python course on AI agent orchestration patterns and agent economy.
9 modules8 labsEN / RU / ES / FR / ZH
13 academies · EN / RU / ES / FR / ZH · Colab
Python courses with live labs on real AIMarket infrastructure — GAIA/ATLAS sensors, Hub federation, hybrid signatures (PQC), oracles, MCP security, USDC payment channels, and 3D visualization.
Hands-on Python course on AI agent orchestration patterns and agent economy.
Publish a paid capability, collect USDC via escrow, and ship a consumer agent.
Research→design→build→test→ship — probe factory APIs and orchestrator stages.
Announce, quarantine, preview, approve — how hubs join without trusting strangers.
Threat-model MCP, catch tool poisoning with WARDEN, harden agents with LUMEN scoring.
Classical Ed25519 + post-quantum — dual orbits, one receipt, offline verify.
Build and break biased lotteries — then verify proofs offline from 80 bytes.
Unbiasable draws, VDF verify, and escrow — lottery/ patterns in Python with Foundry vectors.
Attested IoT pins, LIVE vs SIM honesty, and operator map reads — physical world as capability.
Probe alien-monitor API health, topology, and LUMEN reputation — then map oracle scenes to R3F.
Consensus swarms, TSP certificates, blue-noise sampling, cascade risk, and Landauer thermodynamics.
PageRank, percolation, spectral cuts, consensus, and cascade risk — with live AIMarket oracles.
TSP gaps, transport duals, eikonal certificates, and GP uncertainty — every answer ships a proof.
Build and break biased lotteries — then verify proofs offline from 80 bytes.
Classical Ed25519 + post-quantum — dual orbits, one receipt, offline verify.