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
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
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
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
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
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
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
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
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