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    Gluesync training · MOLO17

    Gluesync training, taught by the engineers who build it.

    Three live, remote sessions of 4 hours each. Learn the AI tools in Gluesync 2.3, run your pipelines in production, or set up an enterprise brain on your own databases.

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    Live and instructor-led · 4 hours per package · Remote · English or Italian · Max 4 attendees per company per session

    Live remote Gluesync training with a MOLO17 instructor Gluesync Control Plane

    Pick the session your team needs.

    Each package is 4 hours, live and remote, led by MOLO17 engineers. Book one, or all three.

    AI Hub

    Mastering AI in Gluesync 2.3

    Put Gluesync 2.3 AI to work with your own models, governed from Core Hub.

    For: Data platform owners, data engineers, and IT leads rolling out AI on Gluesync.

    • AI Studio with OpenAI, Anthropic, Azure OpenAI, OpenAI-compatible endpoints, or local Ollama
    • Query Studio AI, Query Forge, and gluesync.ai for SQL drafts you review
    • Core Hub MCP for Claude, ChatGPT, and other AI clients, with scoped keys, budgets, and audit
    Launch price

    $1,299 $799

    excl. VAT · per session

    Request this training See the agenda

    Day-2 operations

    Gluesync Pipelines Admin

    Run Gluesync in production with alerts, monitoring, webhooks, APIs, and schedules your team owns.

    For: Administrators, SREs, and operations engineers responsible for Gluesync after go-live.

    • Smart Alerts, thresholds, email and webhook notifications
    • Metrics and insights (Grafana + Prometheus), Notifications Hub, Core Hub REST APIs, inbound webhooks
    • Chronos schedules and events, maintenance mode, updates, and configuration backups
    Launch price

    $1,299 $799

    excl. VAT · per session

    Request this training See the agenda

    Tailored to your estate

    Enterprise Brain Setup

    Set up an enterprise brain on your own databases, models, and permissions in one working session.

    For: Data and IT leads who want every AI tool in the company to ask the same governed source.

    • A schema graph of the databases you already connect to Gluesync
    • Shared memory of how your company asks its data, never rows or secrets
    • Models on your infrastructure; permissions and audit in Core Hub
    Launch price

    $1,299 $799

    excl. VAT · per session

    Request this training See the agenda

    Not sure which one fits? Talk to us

    Agenda (4 hours)
    Time Block What we cover
    0:00–0:20 AI Hub in Gluesync 2.3 How AI Hub fits the Core Hub control plane: AI Studio, Query Studio AI, Query Forge, Core Hub MCP, and the Enterprise brain. Your models, not your data in another AI silo.
    0:20–1:05 Bring your own models Register providers under Settings → LLM providers: OpenAI, Anthropic, Azure OpenAI, OpenAI-compatible endpoints, local Ollama. Credentials stay encrypted in Core Hub; model traffic does not proxy through MOLO17. Model catalog and routing preview by capability, residency, health, price, and cost, without spending tokens.
    1:05–1:50 AI Studio agents Chat with governed agents under the caller’s Core Hub permissions. Build and publish immutable agent versions with instructions, versioned skills, routing policy, limits, and output contracts. Durable runs with idempotency, cancellation, and event history.
    1:50–2:00 Break
    2:00–2:50 SQL AI: Query Studio AI, Query Forge, gluesync.ai Query Studio AI drafts and completes SQL from the schema it already knows; you review before you run. PII-tagged columns are masked before anything reaches the model. Federated queries across agents with Query Forge (jdbc:gluesync://, Personal API Tokens). The gluesync.ai virtual table: answer, proposed SQL, citations, conversation ID in one row. Proposed SQL is never auto-executed.
    2:50–3:30 Core Hub MCP for AI clients Connect Claude, ChatGPT, Cursor, or any MCP client to Core Hub over Streamable HTTP (/mcp/http) or SSE (/mcp) with a session token or Personal API Token. The 125 built-in tools run under the caller’s RBAC. Read-only mode and tool allow-lists.
    3:30–3:50 Govern access and spend Scoped platform keys (gsa_), agent and model allow-lists, rate limits, expiry, budgets, usage, and audit records. Native run API and OpenAI-compatible endpoint for your applications.
    3:50–4:00 Wrap-up Your rollout checklist, open questions, next steps.

    You leave with

    • At least one model provider configured and tested in your Core Hub
    • A published AI Studio agent version your team can reuse
    • A reviewed SQL draft saved as a Query Studio query, ready for a Chronos schedule
    • One MCP client connected to Core Hub with the right token and role
    • A starter governance setup: a scoped key, a budget, and a read-only decision for MCP
    • Session slides and a written checklist
    Agenda (4 hours)
    Time Block What we cover
    0:00–0:15 Day-2 map What the team owns after go-live: Control Plane, Core Hub, agents, modules. Roles: SUPER ADMIN, MANAGER, VIEWER. OIDC sign-in.
    0:15–0:55 Monitoring Control Plane status and health. Metrics and insights: the Grafana and Prometheus included in the default kit. Throughput, CDC checkpoint freshness, per-entity stalls, latency vs. Smart Alerts thresholds. Notifications Hub: search, filters, retention.
    0:55–1:40 Alerting Smart Alerts per pipeline and global alert thresholds: latency, data flow stall, throughput anomaly, latency pattern, cooldown. Pattern status and the Simulation button. Email alerts with SMTP, filters, and burst prevention. WARNING vs. ERROR.
    1:40–1:50 Break
    1:50–2:30 Webhooks Settings → Notifications → Webhooks. CloudEvents payloads, event types and severities, object filters, custom headers, HMAC-SHA256 signing secrets, Send test. Delivery logs and dead letters: retry or purge. Routing to Slack, PagerDuty, Datadog, or your own automation.
    2:30–3:05 Core Hub REST APIs JWT Bearer authentication, Swagger UI, Postman collection, inbound webhooks. Dedicated local accounts for automation (no shared admin credentials). Common calls for pipelines, entities, and monitoring.
    3:05–3:40 Schedules with Chronos Schedules with cron or friendly format. Start/stop entities and pipelines, snapshots, Query Studio actions. Chained events in sync or async mode. Events fired by platform events or by webhook triggers with a secret token. Execution history.
    3:40–3:55 Day-2 runbook Maintenance mode and entity play/pause. Over-the-air platform updates. Configuration backup and restore with Automator. Troubleshooting and opening a support ticket.
    3:55–4:00 Wrap-up Q&A and next steps.

    You leave with

    • Smart Alerts tuned for at least one real pipeline, tested with Simulation
    • One working email or webhook alert channel, with signing and delivery logs checked
    • A dashboard tour your on-call team can repeat in Metrics and insights
    • A tested API call with a dedicated automation account
    • At least one Chronos schedule or event in place (for example: pause, snapshot, restart)
    • A day-2 runbook outline: maintenance, updates, backups, escalation
    • Session slides and checklist
    Agenda (4 hours)
    Time Block What we cover
    0:00–0:20 Scope and boundaries Confirm in-scope databases, roles, and first questions. Where the brain lives: a dedicated database beside your Core Hub data, on your infrastructure. Not SaaS. MOLO17 never receives your schema, memories, or conversations.
    0:20–1:10 Schema graph Build the graph of tables, columns, and keys across the connected databases. Check coverage. Choose search mode: keyword (always on) or embeddings when a suitable model exists.
    1:10–1:50 Models on your infrastructure Pick chat and embedding models from your vault, or route everything to local Ollama to keep the loop on-premises. Budgets, scoped keys, and rate limits for brain-backed answers.
    1:50–2:00 Break
    2:00–2:45 Shared memory and skills Ask your first questions and watch the brain remember the route: which tables, which filter, which procedure. Memory stores location and procedure, never result rows or secrets. Shared by default, private on request, forget when needed. Publish the first versioned skills.
    2:45–3:25 Permissions and audit in Core Hub Every question runs under the caller’s Core Hub role and Query Studio data-access rules. PII masking. Read-only mode and tool allow-lists. Usage and audit evidence. Optional: register approved company tools (HTTPS MCP servers such as GitLab or Notion) behind a host allow-list.
    3:25–3:50 Connect your AI tools Point Claude, ChatGPT, Cursor, or another MCP client at Core Hub with a Personal API Token. Use search_enterprise_brain and published agents from the client your team already uses.
    3:50–4:00 Handover What is live, what to add next, who owns it.

    You leave with

    • An enterprise brain running on your infrastructure, built on your connected databases
    • A schema graph across the in-scope databases, with a chosen search mode
    • First shared memories and published skills for your priority questions
    • Models from your own vault, with budgets and scoped keys in place
    • Role and data-access settings reviewed in Core Hub
    • At least one AI client connected and answering under a real user’s permissions
    • A short written summary of the setup and next steps

    What’s included

    Every package includes live instructor time with MOLO17 engineers, an agenda adapted to your Gluesync version, session materials, and a written list of next steps.

    Mastering AI in Gluesync 2.3Gluesync Pipelines AdminEnterprise Brain Setup
    Duration 4 hours4 hours4 hours + scoping call
    Delivery Live, remote Live, remote Live, remote, on your environment
    Led by MOLO17 engineers MOLO17 engineers MOLO17 engineers
    Best for Teams enabling AI Teams running pipelines Teams building one source for AI tools
    Gluesync version 2.32.2.11 or later; 2.3 recommended2.3
    Works on your own environment RecommendedRecommendedRequired
    Hands-on exercises ✓ Hands-on exercises✓ Hands-on exercises✓ Hands-on on your data estate
    Slides and checklist ✓ Slides and checklist✓ Slides and checklist✓ Slides, checklist, and setup summary
    Q&A follow-up 2 weeks by email 2 weeks by email 2 weeks by email
    Max attendees 4 4 4
    Language EN / IT EN / IT EN / IT
    Price $1,299 $799 launch price, excl. VAT $1,299 $799 launch price, excl. VAT $1,299 $799 launch price, excl. VAT
    Book Book this training Book this training Book this training

    All three, one booking.

    Run Gluesync day to day, put AI to work, and give your AI tools one governed source. Three 4-hour sessions on dates you choose, same team, one invoice.

    • Mastering AI in Gluesync 2.3 · $799
    • Gluesync Pipelines Admin · $799
    • Enterprise Brain Setup · $799

    12 hours of live training across three sessions. Suggested order: Pipelines Admin → Mastering AI → Enterprise Brain Setup. Each session is the launch price of $799, excl. VAT. Three sessions together: $3,897 $2,397. No extra bundle discount.

    Book the bundle Talk to us

    How booking works

    1. Send a request. Pick a package and tell us your preferred dates and team size.
    2. We confirm. A MOLO17 engineer confirms the date, the instructor, and any prerequisites within 2 business days.
    3. You receive the invoice. We send the invoice. Payment is due before the session.
    4. Join the session. You get the meeting link and the prep checklist before the session.

    Prices exclude VAT. Reschedule up to 5 business days before the session. Later changes are treated as a new booking.

    Book a training

    Tell us what you need. We confirm the date and send the invoice.

    Prefer to talk first? Talk to us

    Give two or three date options.

    1 to 4 per company per session. More people? Tell us in the notes and we’ll plan two sessions.

    Already bought a Professional Services package? You can use your remaining hours to book any of these trainings. Just tell us which session you want when you request a date.

    Training as part of a delivery project

    Running a migration or rollout with MOLO17 Professional Services? Training can be scoped into the engagement, on your pipelines and your timeline.

    Explore Professional Services

    FAQ

    Questions we hear

    Is the training remote?

    Yes. Every package is live and remote, led by a MOLO17 engineer. You need a browser, a stable connection, and access to your Gluesync environment for the hands-on parts. Sessions run on Google Meet.

    Is the session recorded?

    Yes, on request. We share the recording with your team only, together with the slides. For Enterprise Brain Setup, recordings may show your schema; we only record if you agree.

    Can we choose our own dates?

    Yes. Send two or three preferred dates in the request form. We confirm one, or propose the closest alternative. Sessions can also be split into two 2-hour blocks.

    Which languages do you teach in?

    English or Italian. Choose in the form. The Gluesync Control Plane itself speaks English, Italian, Spanish, and Japanese.

    Which Gluesync version do we need?

    Mastering AI in Gluesync 2.3 and Enterprise Brain Setup need Gluesync 2.3. Gluesync Pipelines Admin works on 2.2.11 or later; 2.3 recommended. Not on 2.3 yet? Tell us in the form and we’ll plan the upgrade.

    How many people can attend?

    Up to 4 attendees per company per session, so everyone gets hands-on time. Larger teams can book a second session.

    Do we train on our own environment?

    We recommend it, so the work stays with you. Enterprise Brain Setup always runs on your environment. For the other two packages, a test or staging environment is fine. MOLO17 does not provide a lab environment.

    How do we pay?

    Each package is $799 launch price (list $1,299), excl. VAT. Book all three at the same per-session launch price — $2,397 from $3,897, no extra bundle discount. We confirm your date and send an invoice. Payment is due before the session.

    Ready when your team is.

    Four focused hours with the engineers who build Gluesync.

    Book a training Talk to us