The holder of this badge completed a 16-hour, in-person project management foundations program designed for R&D scientists, formulation chemists, and project leads working in commercial agrichemical development. The curriculum is grounded in the PMBOK® Guide — Eighth Edition and applied directly to the realities of formulation development, scale-up, and commercialization projects. Training combined concept instruction, live case studies, AI-assisted simulations, and hands-on artifact creation across two full days. Concepts Covered PMBOK 8 framework: 6 PM principles, 7 performance domains, and 5 focus areas applied to R&D contexts Project lifecycle in agrichemical R&D: from concept to commercialization Methodology selection: Stage-Gate, Agile, Scrum/Kanban, and Hybrid approaches Work breakdown and estimation: decomposition, uncertainty management Scheduling: task dependencies, Critical Path Method, Gantt charts, buffers and milestones Stakeholder management: Power/Interest grid, communication planning Risk management: probability/impact assessment, response strategies, risk ownership Resource and budget planning: skills matrix, cost-to-margin analysis, burn rate tracking Go/kill decision-making: sunk cost reasoning, margin-driven frameworks, strategic trade-offs PM tool stack implementation: templates, workflow boards, documentation, and data hygiene Artifacts Created Work Breakdown Structure (WBS) for a formulation development project Gantt chart with critical path and milestone mapping Stakeholder map with Power/Interest grid RACI matrix Risk register with probability/impact ratings and response plans Resource calendar and budget tracking framework Complete project plan (charter, WBS, Gantt, stakeholder analysis, RACI, risk register) Skills Demonstrated Applying principle-based PM judgment to technical R&D projects Selecting and tailoring project methodology to context Analyzing and resolving mid-project technical and commercial crises (case studies) Making go/kill decisions under ambiguity and cost pressure Using AI tools for portfolio decisions and scenario analysis Cross-functional communication across R&D, Manufacturing, Regulatory, and Commercial teams