Description

IBM ILOG CPLEX Optimization Studio uses decision optimization technology to optimize business decisions, develop and deploy optimization models quickly, and create real-world applications that significantly improve business outcomes. The CPLEX Studio integrated development environment (IDE) makes it easy to evaluate different modeling approaches to a problem and integrate external data. Moreover, its debugging and tuning tools support the development process. We deliver one of the most comprehensive CPLEX training based on your needs.

This CPLEX training course familiarizes attendees with optimization models and techniques and the terminology used to describe them. In this course, participants will learn to implement optimization models using the IBM ILOG CPLEX Optimization Studio and Optimization Programming Language (OPL) through a combination of instructor-led presentations and projects illustrating applications of the LP and MIP models.

What We Offer

From 5 hours to 5 days, we provide training to utilize technology products to their fullest potential. Based on our extensive experience working with optimization & analytic tools, we have designed learning paths for IBM CPLEX. Our approach emphasizes the most important elements you use on day-to-day basis, with videos created by our award-winning, certified consultants who have real-world experience. Whether you are new to these products or need a refresher, Cresco is here to help!

• In-person training
• Computer-based training
• Product certification (>96% pass rate)

CPLEX Training Syllabus

Topics covered in this course include:

• Overview of IBM ILOG CPLEX Optimization Studio
• Introduction to Optimization Programming Language (OPL)
• Linear Programming basics
• Importing data from data sources
• Developing data-driven optimization models
• Developing large-scale optimization models
• Optimization and debugging
• Managing Solution Pools
• LP and MPS file formats
• Recognizing and handling infeasibility
• Performance tuning
• Developing optimization models with the Python API of CPLEX

CPLEX Training Objectives

This course enables participants to:

• Formulate, implement, and solve LP and MIP optimization models
• Describe and process the obtained optimal solutions
• Analyze infeasible problems
• Develop optimization models using the Python API of CPLEX
• Identify and remove the most common barriers to better solver performance

Prospective Participants

The following participants can derive the maximum value out of this course:

• OR analysts and data scientists who want to become an expert in IBM ILOG CPLEX Optimization Studio
• Developers who want to leverage optimization engines into real-world applications
• Business Analysts and Modelers in various fields
• IT developers and managers working with OR professionals
• Managers and executives who are involved in what-if analyses and decision making
• University students of Mathematics or Engineering Schools

Required Skills

You will need:

• A basic understanding of algebra
• Familiarity with standard Windows applications

CPLEX Training Prerequisites

For the virtual training, you will need:

• A working IBM ILOG CPLEX Optimization Studio Free Edition
• A working Python API of CPLEX
• Internet connection

Instructor: Dr. Meysam Cheramin

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