The Generative AI for PMP program equips participants with advanced skills to integrate AI into project management processes. This course uses AI tools and techniques to enhance decision-making, optimize workflows, and streamline project lifecycles. It bridges traditional project management frameworks with cutting-edge AI capabilities, fostering innovation and efficiency across all project stages.
Participants will gain hands-on experience in designing AI-driven frameworks, mastering prompt engineering, applying AI throughout the project lifecycle, and automating governance and reporting processes. By the end of the program, learners will be adept at using AI to improve project outcomes, manage risks, and align strategic objectives with operational goals.
Duration: 6 weeks- 24 hours
Price : 1800 QAR | $495 | 152 KWD | 1815 AED | 1856 SAR
Schedule : Weekdays or Weekend - Class Schedule.
Enrollment Link : Enroll Now
Join a Free Demo class to get started with Gen AI for PMP
What You Will Learn:
Understand & Design the Gen AI – PMP Framework
Map AI capabilities to various project management processes.
Differentiate between human-led tasks, augmented AI, and AI automation in projects.
Analyze project management tasks to identify AI use cases.
Implement AI systems for decision-making, planning, and resource management.
Set objectives for AI applications and integrate them into workflows.
Collaborate with peers to refine AI solutions and optimize project outcomes.
Prompt Engineering for Project Management
Basics and Prompt Types
Understand the fundamentals of prompt engineering for project management.
Learn different prompt types: descriptive, instructional, creative, and persona-based.
Use prompts to align project goals with strategic objectives and enhance workflow efficiency.
Advanced Gen AI Prompting Techniques
Explore advanced strategies like variable prompting and persona integration.
Incorporate external knowledge sources for accurate AI-driven insights.
Automate complex workflows with chain-of-thought reasoning techniques.
Gen AI for Project Management Lifecycle
Integrate AI into all project stages, from initiation to closure.
Conduct feasibility studies and portfolio prioritization using AI.
Automate project documentation and enhance stakeholder communication with AI tools.
Use AI-driven frameworks for cost, schedule, and scope estimation.
Apply AI for continuous improvement and alternative approaches.
AI for Project Governance, Prediction, and Analysis
Use AI for cost and schedule predictions.
Conduct qualitative and quantitative risk analysis using AI tools.
Apply AI for project monitoring, controlling, and stakeholder sentiment analysis.
Optimize resource management, delay analysis, and forecasting with AI insights.
Automate governance and compliance monitoring processes.
Gen AI Toolkits for Project Managers
Automate project document preparation using organizational templates.
Conduct large-scale risk data and sentiment analyses with AI tools.
Create impactful presentations and reports using AI.
Build conversational AI bots for routine project management tasks.
Leverage AI for enhanced decision-making and risk mitigation.
Case Study: AI in Project & Risk Management
Design project frameworks incorporating AI elements.
Develop project plans using synthetic personas for stakeholder alignment.
Use AI tools for efficient and data-driven risk assessment.
Predict and manage project constraints like time, cost, and scope using machine learning models.
Implement AI-driven strategies for optimizing resource allocation and KPI tracking.
Ensure project safety using AI vision capabilities for hazard analyses.
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