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समाप्त होता है 4 June 2026

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Building AI Solutions with Google OR-Tools

Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.
NDC Conferences via YouTube

NDC Conferences

6076 कोर्स


1 hour 4 minutes

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अवलोकन

Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.

पाठ्यक्रम

  • Introduction to Google OR-Tools
  • Overview of AI optimization tools
    Installation and setup of OR-Tools
  • Understanding Optimization Problems
  • Definition and types of optimization problems
    Use cases and applications in AI
  • Constraint Programming with OR-Tools
  • Basics of constraint programming
    Building a constraint satisfaction model
    Practical example: Solving a Sudoku puzzle
  • Linear Programming with OR-Tools
  • Introduction to linear programming
    Formulating linear problems
    Practical example: Simple resource allocation
  • Mixed-Integer Programming with OR-Tools
  • Concepts of mixed-integer programming
    Formulating and solving MIP problems
    Practical example: Scheduling and timetabling
  • Advanced Features and Techniques
  • Customizing solver parameters
    Integrating OR-Tools with Python for enhanced capabilities
  • Case Studies and Real-world Applications
  • Comprehensive example: Developing a workforce scheduling solution
    Analyzing and optimizing logistics and operations
  • Best Practices and Optimization Strategies
  • Common pitfalls and how to avoid them
    Performance tuning and scalability considerations
  • Conclusion and Future Directions
  • Emerging trends in optimization and AI
    Further resources and continued learning paths
  • Final Project
  • Students will build an AI solution using OR-Tools to address an optimization problem of their choice.

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