Ideal for non-project management professionals to help develop key project management skills and be more successful in their business or IT roles

Job-ready skills in project, stakeholder, and requirements management, including key tools such as user stories, RACI charts, and Agile frameworks

Identify stakeholders, analyze them, and apply effective communication and stakeholder engagement strategies; Elicit, document, & manage requirements

Leverage generative AI tools to support project management, stakeholder engagement and requirements gathering

Build job-ready skills in business process modeling, Lean, Six Sigma, and systems thinking to excel in business analysis and process management roles

Develop and interpret process models and maps that represent current and desired states, enabling better communication and decision making

Analyze processes to identify inefficiencies, bottlenecks, and improvement opportunities using mapping, narratives, and analytical frameworks

Integrate systems thinking, Lean, Six Sigma, and AI-enabled methods to design, implement, and sustain optimized processes with measurable impact

Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

Explain the important role charts play in telling a data-driven story. 

Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

Build and share interactive dashboards using Excel and Cognos Analytics.

Define operating systems, computer components, programming concepts, databases, and explain the differences between commercial and open software

Summarize the importance of computer networks, including wired and wireless connections; explore network resources and storage types in MS Windows

Describe how to protect against security threats, address public browsing security concerns, and list password management best practices

List the benefits of cloud computing, describe the cloud infrastructure layer, virtual machines, and summarize features of ticketing systems

Create data flow diagrams, entity-relationship diagrams, and unified modeling language diagrams to visualize data, system architecture, and workflows

Evaluate existing IT systems by assessing system architecture, features, performance, and UI/UX to identify inefficiencies and propose improvements

Conduct cost-benefit analyses, operational feasibility studies, and risk assessments to compare IT solution alternatives and recommend solutions

Integrate system analysis, modeling, and evaluation techniques in a project to propose a digital transformation strategy for a business

Create test plans and traceability matrices linking business needs to outcomes, and coordinate testing among QA teams, developers, and stakeholders

Build deployment checklists with clear launch steps, go/no-go criteria, rollback plans, and data validation techniques

Define key system metrics to support post-launch tracking, organize response plans, and guide improvement through retrospectives

Create a Testing and Release Kit with test strategy, validation checklist, and support plans for post-launch success

Demonstrate job-ready systems analysis skills to design IT solutions that enhance business operations and data management

Create process models, entity-relationship diagrams, and dashboards to visualize and optimize business workflows

Implement data quality, security, and compliance measures aligned with industry standards and best practices

Design comprehensive IT solutions that address stakeholder needs and support data-driven business decisions

Apply prompt engineering and generative AI tools to gather business requirements, produce documentation, and create systems architecture diagrams

Create structured systems analysis, solutions architectures, optimized processes, interactive dashboards, and improved stakeholder communications

Generate and improve workflows by producing Business Process Model and Notation diagrams, process flowcharts, and journey maps using generative AI

Integrate gen AI with business analysis platforms, such as Jira, Confluence, Miro, and Power BI, to improve deliverable quality and efficiency