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1. Project Management as a decision system. From traditional planning to intelligent control
- Professional structuring of the project in complex and changing environments
- Scenario-oriented visual planning and identification of structural dependencies and risks
- Resource management as a strategic variable and bottleneck detection
- KPIs that matter: actionable indicators to support decisions
- Deviation management in real time: from periodic control to continuous control
- Intelligent redirection based on data and criteria to make objective decisions
- Key Project Manager decisions that can benefit from AI
- Applied case: identification of decisions from the proposed case and opportunities for AI support. Detection of actions that improve the predictive and optimization capacity of the project
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2. Fundamentals of Artificial Intelligence and application in the company
- General introduction to AI, history and evolution
- Main concepts and terminology
- Differences between Machine Learning, Deep Learning and other branches
- Prompt Engineering and tools such as ChatGPT, NotebookLM and Perplexity
- AI models and general applications
- AI working environment: tools, languages and platforms
- Practical application cases
- Applied case: definition, training and testing of an Artificial Intelligence model
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3. Advanced AI for Project Planning and Management
- Planning optimization: allocation of resources, time and tasks
- Using AI to estimate schedules more accurately
- Optimal resource allocation using AI
- Time and cost forecasting with regression models and predictive analytics
- Automatic rescheduling of tasks in the event of changes and delays
- Limitations of the application AI
- Applied case: definition, training and testing of an Artificial Intelligence model. Rescheduling tasks by simulating events that impact scope, schedule, and budget
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4. Predictive Analytics and Risk Management with AI
- Identifying risks using Machine Learning with historical data
- Supervised vs. unsupervised models
- Decision trees and neural networks for real-time evaluation
- Scenario analysis and impact simulations
- Automation with alerts and notifications for potential risks
- Practical case: definition, training and testing of an Artificial Intelligence model
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5. AI for Project Monitoring and Control
- Definition of operational and strategic KPIs
- Design of interactive dashboards with key indicators
- Real-time monitoring with intelligent dashboards
- Early detection of deviations through behavioral patterns
- Intelligent alerts and automated reporting on anomalies
- Applied case: creation of an intelligent dashboard with Power BI or Tableau integrating data in real time. Implementation of an automatic alert system for detection of deviations in KPIs
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