• Individuals who are new to project management and wish to build foundational knowledge
• Team members, coordinators, analysts, or support staff involved in project work
• Career changers or recent graduates wanting a recognized credential in project management
• Anyone preparing to take the CAPM certification exam
• Professionals who want formal grounding in project management terminology, processes, and methodologies

• A secondary degree (high school diploma, GED, or equivalent) is required by PMI for CAPM eligibility
• Completion of 23 hours of formal project management education/training before taking the exam
• No professional project experience is required (though exposure to projects or teams is beneficial)

• Master the foundational language, processes, and concepts of project management as defined by PMI
• Understand and differentiate predictive, agile, and hybrid methodologies
• Plan, execute, monitor, control, and close project components in predictive environments
• Apply agile techniques such as sprints, backlog, iteration planning, and continuous delivery
• Use business analysis methods to elicit, document, and manage requirements
• Tailor project management approaches to suit the project context and constraints
• Navigate PMI’s process groups, knowledge areas, and exam blueprint with confidence
• Analyze, interpret, and respond to CAPM-style exam questions and scenarios
• Be fully prepared to sit for and pass the CAPM certification exam

• Project and project management definitions & principles
• Project life cycles, phases, and process groups
• Organizational influences, project context
• Project roles and responsibilities
• Tools & techniques: stakeholder analysis, communication, change control
• Tailoring and methods across contexts

• Traditional (“waterfall”) project methods

• Planning, executing, monitoring & controlling in predictive approaches

• Scope, schedule, cost control in plan-driven environments

• Baselines, earned value, variance analysis

• Agile principles, mindset, and values
• Scrum, Kanban, iterative / incremental frameworks
• Agile artifacts, roles, events
• Hybrid approaches combining predictive and agile

• Requirements elicitation and analysis
• Stakeholder needs, traceability
• Modeling and documentation techniques (e.g. user stories, acceptance criteria)
• Solution evaluation, decision analysis, benefits management