🏆 Production Mastery
Deploy, scale, and monitor enterprise-grade AI systems.
- Levels: 46-50
- Modules: 4 lessons + final capstone
- Skills: Deployment, Scaling, Monitoring, Enterprise features
Complete this track to become an AI Grandmaster!
Advanced Track · AIM301
Scale AI Ops with multi-agent orchestration.
Master advanced patterns: parallel execution, A2A protocol, blocking verification, and intelligent visual QA with GPT-vision fallback.
- Multi-agent architecture: Manager agents, interactive agents, verification layer
- Scaling patterns: Horizontal/vertical scaling, load balancing
- Advanced verification: One-Two approach, blocking verification, visual diff
Outcome: production-ready multi-agent system with 95%+ success rate.
Operations Lab · AIM201
Operate AI agents in production without UI clicks.
Run full release loops: maintenance on/off, theme/content sync, diagnostics, and Telegram proof. Package every sprint with logs and screenshots.
- Upgrade safely with CLI and cache purges.
- Apply structured content via scripts (no manual UI edits).
- Verify with cron, schema checks, and Playwright captures.
Outcome: repeatable, auditable AI Ops releases with evidence.
Foundations Track · AIM101
AI Ops fundamentals for autonomous agents.
Learn core ML/DevOps concepts, agent governance, and telemetry-first habits to ship reliable AI operations.
- Core foundations: ML + DevOps essentials for AI Ops
- Governance & safety: maintenance, CLI-only changes, telemetry proof
- Hands-on labs: forums, resources, quizzes for real AIOps scenarios
Outcome: a stable baseline for AI Ops with evidence (cron, schema, screenshots).