monday.com Work Management Core Certification study materials
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monday.com Work Management Core Certification study plan

monday.com Work Management Core Certification · Give each week a clear focus.

8 weeks · About 6 hours per week

Week 1

Platform overview

  • Map the core object model (boards, groups, items, subitems, columns, workspaces) by rebuilding a 3-board client onboarding workspace from scratch

  • Configure at least 8 column types (status, people, date, timeline, numbers, formula, connect boards, mirror) and record one line on when each is the wrong choice

  • Set up permission tiers across a workspace, board, and column and verify each tier by testing with a second user account

  • Outline the exam blueprint in a one-page matrix listing all 5 domains, their weights, and your current confidence score per domain

Your checkpoint

A working 3-board onboarding workspace with a permissions matrix screenshot set and a one-page domain confidence matrix

Week 2

Platform overview & Dashboards & reporting

  • Build a dashboard with at least 6 widget types (chart, battery, numbers, calendar, timeline, table) sourced from the week-1 boards

  • Convert two board views (Kanban and Calendar) into dashboard-ready data by fixing missing dates and statuses

  • Write a 10-item glossary of platform terms (item, group, board, view, widget, workspace, column, automation, integration, agent) in your own words

  • Practice filtering and grouping data at the board level and confirm how those filters carry into dashboard widgets

Your checkpoint

A published dashboard with 6+ widgets plus a glossary file and a short note on which board filters propagate to widgets

Week 3

Dashboards & reporting

  • Design a stakeholder-facing dashboard for an executive audience using no more than 5 widgets and justify each choice

  • Build a second operational dashboard for a team lead and contrast it against the executive version

  • Use chart aggregation options (sum, average, count) on the same column and explain in writing why the numbers differ

  • Create a scheduled dashboard snapshot or export and document how recipients consume it

  • Audit one dashboard for misleading visuals (truncated scales, mixed units, stale data) and fix each issue

Your checkpoint

Two contrasting dashboards (executive and operational) with a one-page design rationale and a fixed-audit checklist

Week 4

Integrations

  • Connect at least 3 integration categories (e.g., calendar, file storage, communication) to your workspace and document the data direction of each

  • Configure a two-way sync between a board and an external tool and verify a round-trip edit in both directions

  • Diagnose one failed integration by reading its error log and writing the root cause and fix

  • Compare native integrations against a generic webhook or automation-based connection for one use case

Your checkpoint

An integration log covering 3+ connected tools with data direction, one diagnosed failure, and a round-trip sync proof

Week 5

Automations

  • Build automations covering all major trigger types (status change, date arrives, item created, column change) on your workspace

  • Chain a multi-step automation with a condition and a time delay, then verify the full path with test items

  • Write a recipe for a recurring-status automation that notifies the right person only when a deadline is at risk

  • Break one automation intentionally and document the symptom, cause, and repair steps

  • List 5 automation anti-patterns (loops, over-notification, silent failures) and how to detect each

Your checkpoint

An automation library of 6+ working recipes with a troubleshooting log and an anti-pattern checklist

Week 6

Automations & AI agents & AI workflows

  • Explain in writing what an AI agent can and cannot do compared with a rule-based automation on this platform

  • Configure an AI-assisted workflow that summarizes or classifies item content and validate its output against 10 test items

  • Add a human-approval step to an AI workflow and confirm the workflow halts until approval

  • Draft a prompt or instruction set for an AI agent and iterate it twice based on observed output quality

Your checkpoint

One validated AI-assisted workflow with 10 test cases, an approval gate, and a before/after prompt comparison

Week 7

AI agents & AI workflows

  • Design an end-to-end AI workflow that spans at least 3 boards and one integration

  • Define guardrails for AI output (review step, fallback path, logging) and implement at least two of them

  • Evaluate AI output quality with a simple rubric (accuracy, tone, completeness) across 5 sample runs

  • Document where AI should not be used in a workflow and justify each exclusion

Your checkpoint

An end-to-end AI workflow diagram plus a guardrails document and a scored output-quality rubric

Week 8

Platform overview & Dashboards & reporting & Integrations & Automations & AI agents & AI workflows

  • Rebuild one compact workspace from memory covering all 5 domains without referring to notes

  • Run a timed 60-question self-test weighted by domain percentage and score it

  • Review every missed item and write the correct concept in one sentence each

  • Finalize a one-page cheat sheet of platform limits, terminology, and decision rules

Your checkpoint

A from-memory capstone workspace, a scored 60-question self-test with error log, and a one-page cheat sheet

Milestones

Week 2: Can explain the object model and permissions to a colleague without notes, and a dashboard renders live data from your own boards

Week 4: Two dashboards are published for different audiences, and at least 3 integrations have verified data flow with one failure diagnosed from logs

Week 6: 6+ automations run reliably, and one AI-assisted workflow passes 10 test items with an approval gate in place

Week 8: Score 80% or higher on the weighted 60-question self-test and complete the capstone workspace from memory