Interpret Agile metrics to find impediments and build automation rules in Jira to escalate tasks and maintain smooth project workflows.

Learners will evaluate and recommend appropriate project management methodologies based on specific project constraints and requirements.

Learners will create and manage hybrid project plans, analyze scope changes, and maintain project timelines using Waterfall and Agile methods.

Analyze resource data to spot over-allocations (>120%) and propose mitigation actions like task re-sequencing to balance project workloads.

Use earned value metrics (CPI & SPI) to evaluate project cost and schedule performance and recommend data-based actions for improvement.

Identify tasks for AI automation and use automated tools to prioritize project backlogs, applying critical human oversight to the results.

Integrate tools like Trello and Slack to automate project updates, save time, and ensure real-time team communication.

Apply automation rules to enforce Work-In-Progress (WIP) limits, prevent bottlenecks, and improve team focus in Agile projects.

Design and build multi-step automations to connect project management, documentation, and communication tools, eliminating repetitive manual tasks.

Learn to transform raw project data into clear, concise status reports using AI, improving stakeholder communication and decision-making.

Evaluate AI risk predictions using performance metrics like precision and recall to make data-driven model adoption decisions.

Use AI to automate project reports and create dashboards to monitor key metrics, enhancing reporting efficiency and decision-making.

Design and implement communication protocols to improve team alignment, manage stakeholder expectations, and drive predictable project success.

Use survey data and feedback analysis to improve change communication, drive user adoption, and ensure successful project launches.

Learners will be able to analyze team meeting schedules and propose actionable changes to enhance productivity.

Learners will analyze collaboration data, create performance visualizations, and make data-driven recommendations to improve team efficiency.