Summary of "Gurobi Opti101 Training Video 1 - Introduction & Welcome"

Main Ideas and Concepts

Introduction to Optimization Training
The video introduces the first-ever Hands-On Optimization 101 training for data science, led by Lindsay Monari from Gurobi Optimization. The training spans two partial days, focusing on the fundamentals of optimization.
Training Structure
- Day 1:
  - Covers the building blocks of optimization models and their applications.
  - Includes a session on modeling and coding with hands-on exercises.
  - Compares machine learning with mathematical optimization.
- Day 2:
  - Continues with advanced modeling and coding using GurobiPy.
  - Participants will apply their learning to a real-world use case using Google Colab.
Access and Certification
Attendees do not need to install Gurobi but can access a limited version through Google Colab. A certificate of completion will be issued to participants who complete the required sessions by December 1, 2022.
Target Audience
The training is designed for data science practitioners, academics, and anyone interested in optimization. It aims to engage both beginners and those with some prior experience in optimization.
Goals of the Training
- Equip participants with the ability to identify optimization problems.
- Develop skills to model these problems and build confidence in applying optimization techniques.
Tools and Prerequisites
The training will utilize Jupyter notebooks in Google Colab, primarily focusing on Python. Participants are encouraged to have a Google account to access Colab.
Expert Instructors
- Jerry Uren, the lead instructor, has extensive experience in operations research and data science.
- Assan Kabanda, a principal operations research scientist, emphasizes the importance of understanding mathematical optimization in analytics.
Educational Resources
Gurobi offers free licenses for academics and recent graduates. Introduction of a web-based game called the "Burrito Optimization Game" to engage new learners.

Methodology and Instructions

Training Format
Combination of lectures, hands-on exercises, and real-world applications. Use of Jupyter notebooks hosted in Google Colab for practical coding experience.
Steps for Participation
- Register for the training and ensure attendance for both days.
- Complete the required sessions by December 1, 2022, to receive a certificate.
- Use the provided materials and solution keys if assistance is needed during the training.

Speakers and Sources

Lindsay Monari: Lead of the academic program at Gurobi Optimization.
Jerry Uren: Lead instructor for Optimization 101, data science strategist at Gurobi.
Assan Kabanda: Principal operations research scientist at Decision Spot, lecturer at Northwestern University.