Advanced Project Management: Asana, Jira, Confluence, and AI

Coursera via Coursera Professional Certificate

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Provider

Coursera Professional Certificate
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

8 weeks, 10 hours a week

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Overview

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Take your project management career to the next level by integrating advanced tools and AI into your delivery workflows. This program introduces practical project management skills using common tools like Asana, Jira, and collaborative docs, as well as basic AI-assisted reporting patterns. You'll learn how projects are planned, scheduled, and tracked; how to write concise status updates; and how to use simple templates and guided workflows to keep work visible and on track. Through eight comprehensive courses, you will build proficiency in Agile estimation, Earned Value Management (EVM), and cross-platform integrations. You will learn how to analyze resource allocation data to detect over-allocation, evaluate collaboration tool latency, and implement governance through automated rules. By the end of this program, you will have developed a professional portfolio of artifacts, including integrated project plans, AI-assisted dashboards, and automated runbooks. This program is for new project coordinators, entry-level project managers, team leads, and professionals transitioning to delivery roles who want to modernize their toolkit with AI and advanced automation.

Syllabus

Course 1: Project Phases and Methods: From Initiation to Execution
Course 2: Plan Projects Better: Tools, Time, and Agile Estimation
Course 3: Build Project Timelines and Track Milestones Fast
Course 4: Manage Project Resources, Changes, and Performance
Course 5: Automate Agile Workflows and Project Backlogs
Course 6: AI for Project Reporting, Dashboards and Risk
Course 7: Drive Project Success with Clear Communication
Course 8: Collaborate and Communicate for Project Excellence
Course 9: Portfolio, Interview, and Job Strategy

Courses

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9 hours 35 minutes
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This course prepares you to create concise, high-quality reports and dashboards using spreadsheets, visualization tools, and generative AI techniques while preserving human-in-the-loop controls. Instruction covers exporting project data from PM tools, transforming and modeling it in spreadsheets, and designing compact dashboards that highlight portfolio KPIs and overdue items. You will practice prompt design to convert raw PM data into structured draft reports, apply labeling and validation practices for AI outputs, and evaluate predictive models using confusion matrices to compute precision and recall for go/no‑go decisions. Assessments emphasize compact deliverables: a trimmed dashboard, an AI-assisted weekly status (AI draft + human review), prompt list, QA checklist, and a short model-evaluation summary documenting precision/recall and adoption guidance.
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10 hours 18 minutes
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This practical course teaches how to design and implement automations and integrations that reduce manual handoffs and enforce governance. You will map manual processes into trigger-action flows, design and test single-purpose automations (WIP enforcement and overdue escalation), and build secure point-to-point integrations to send project updates to communication channels. Emphasis is on rule logic, filters, test cases, and a concise runbook to operationalize automations reliably. You will validate automations against simple acceptance criteria and deliver a working single-rule automation, an integration diagram, and a troubleshooting log for handover. The course balances engineering considerations with governance and security basics to ensure automations are maintainable and auditable.
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8 hours 38 minutes
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This long course teaches how to convert work breakdown into defensible schedules and clear milestone reporting. You will practice constructing compact Gantt/timeline views, linking dependencies, and identifying critical-path activities in small- to medium-sized plans. The course covers distinctions between effort and duration, and using spreadsheets for quick scenario modeling. You will build conditional-format tracking sheets that highlight overdue and at‑risk items, and produce short, stakeholder-ready exports and memos that justify schedule recommendations. The focus is practical: Produce a clean timeline, a formatted tracking sheet, a comparison summary, and a concise stakeholder explanation suitable for steering or release planning contexts.
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11 hours 14 minutes
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This applied long course helps you to optimize meetings, evaluate collaboration tools, and standardize team ceremonies to sustain productivity improvements. You will analyze meeting-load data to quantify time spent in meetings versus focused work, classify recurring meetings by purpose and engagement, and create evidence-based recommendations to consolidate or shorten sessions. The course teaches measuring collaboration-tool latency and response-time distributions, creating comparative visualizations, and correlating user-satisfaction feedback with performance metrics to guide tool selection. Deliverables are compact and actionable: a meeting-optimization plan, a short tool-evaluation brief with visual comparisons, a standardized ceremony template.
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8 hours 13 minutes
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This long course develops communication governance and documentation practices that increase predictability and accountability for delivery teams. You will draft channel purpose statements and etiquette, set response SLAs, configure notification and naming conventions, and use collaborative-document templates to capture meeting outcomes and assign action items. The course teaches the use of RACI/RASCI frameworks to clarify role ownership and demonstrates pragmatic measurement approaches (response times and template usage) to monitor adoption. Deliverables include a reusable meeting-note template, a compact RACI for a sample project, a communication plan, and an adoption checklist with simple metrics to assess early impact, enabling you to operationalize communication practices within team workflows.
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7 hours 36 minutes
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This advanced planning course covers capacity planning, scope-change modeling, and earned-value fundamentals, enabling you to identify resource risks and quantify schedule and cost performance. Instructions include building integrated hybrid plans (predictive + iterative), modeling critical-path impacts of scope adjustments using small-sample scenarios, and performing capacity analysis to detect over-allocation. You will compute core EVM metrics (PV, EV, and AC) and derive CPI/SPI for focused slices of work, and then craft concise remediation recommendations (re-sequencing, reallocation, or scope negotiation). Deliverables are deliberately compact—resource heatmap, EVM sheet for a subset of tasks, scope impact notes, and a short remediation rationale—so that you can demonstrate analytical reasoning and clear stakeholder communication.
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9 hours 31 minutes
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This long course focuses on task-level design, estimation, and the fundamental tooling conventions that make planning achievable in day-to-day delivery. You will master task anatomy (title, description, assignee, due date, labels, and dependencies) and practical field templates that ensure clarity across teams. The course introduces story points and collaborative estimation techniques and demonstrates how to map story-point forecasting to team velocity. Hands-on work uses Asana timeline/Gantt views to sequence and export compact schedules and to create reproducible timeline artifacts. The emphasis is on repeatable, shareable artifacts: field templates, trimmed timelines, and a brief velocity snapshot for stakeholder conversations. You will practice short exercises that connect estimation choices to planning outcomes.
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1 hour 52 minutes
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This short course helps you turn coursework into job-ready career assets. You’ll clarify a career narrative with an AI-guided dialogue, watch an industry story for inspiration, and read concise guidance on resumes and portfolio curation. The core hands-on lab walks you through selecting 3–5 artifacts, annotating each for measurable impact, and drafting three quantified accomplishment statements plus a targeted LinkedIn/resume summary. You’ll practice high-pressure interview responses in an AI role-play that gives structured feedback. A final assessment asks you to submit one annotated artifact, three accomplishment statements, and your resume summary. All activities use templates, sample prompts, and clear rubrics so you can complete work without paid tools.
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11 hours 58 minutes
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This foundational long course introduces you to the full project lifecycle and the core choices that shape delivery: initiation, planning, execution, monitoring, and closing. You will build practical familiarity with the most commonly used methodologies (Waterfall, Agile, hybrid), and map real project activities to process groups so they can justify approach decisions. The course explains the key roles and responsibilities (Product Owner, Scrum Master, and Development Team) and teaches flow-management practices, including WIP limits, backlog hygiene, and dependency identification. You will practice reading timeline artifacts and backlog metrics and translate analysis into focused mitigation notes for stakeholders. The course emphasizes the use of Project Management processes and methodologies to improve predictability and hand off quality.