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Abstract Futuristic Background

Engineering Leaders
Who Wanted to Learn AI

This is an introductory course in AI for Engineering Leads - to help them understand and guide AI work within their teams. It covers machine learning fundamentals, popular algorithms such as K-nearest neighbors, linear regression, and decision trees. Students will learn about Scikit-learn and Tensorflow, as well as techniques like transfer learning and AI monitoring. The course includes hands-on activities, practical projects, and emphasizes project presentation and discussion.

Lesson Plan

Session 01 (1 hour)

Session 02 (1 hour)

Session 03 (1 hour)

Session 04 (1 hour)

Session 05 (1 hour)

Session 06 (1 hour)

Session 07 (1 hour)

Session 08 (1 hour)

  1. Introduction to Machine Learning 

  2. Activity - Build a sentiment analysis AI

  3. Introduction to Classification

  4. How to measure an AI

  5. How to measure Classification

  1. Introduction to regression 

  2. Measure Regression 

  3. Feature Engineering 

  4. Activity - Build an AI with churn data

  5. Rules vs AI

  1. Introduction to K-nearest neighbors 

  2. Activity - Build an AI using KNN

  3. Linear Regression 

  4. Activity - Build AI using linear regression

  5. Decision Trees

  6. Activity - Build an AI using Decision Trees

  7. Introduction to Scikit-learn

  8. Code overview of algorithms

  1. Project Discussion

  2. What are images to a computer 

  3. What are neural networks and deep learning

  4. Visualize MNIST 

  5. Activity - Build an AI using MNIST

  6. Visualize the predictions 

  7. How neural networks learn 

  8. Tune the model and inspect code

  1. Project discussion 

  2. Introduction to Tensorflow 

  3. MLP with MNIST Solution

  4. Introduction to CNN 

  5. Activity - Build image classification using MobileNetV2

  1. Project Discussion

  2. Train, Test and Validation 

  3. ImageNet Challenge 

  4. Transfer learning 

  5. Transfer Learning with images 

  6. MobileNetV2 - high level overview 

  7. MobileNetV2 architecture 

  8. Tensorflow and Images

  1. Project Discussion

  2. Balance skew 

  3. Matplotlib 

  4. AI Monitoring 

  • Project Presentation

​About AIClub’s Professional Development Program (AIClubPro)

AIClub is an education technology company focused on Artificial Intelligence Literacy. We educate individuals from students to professionals, covering all aspects of Artificial Intelligence and related technologies at appropriate depth from introductory to advanced, depending on the individual's prior knowledge and future interests. Our AIClubPro programs have educated professionals from many industries, with roles ranging from Engineering and Operations to Product Management, Marketing and Executive Leadership. 

 

The AIClubPro program is led by three founders with exceptional depth and expertise in both industry and academia. Together, our leadership team has over 40 years of professional experience in technology, having served in executive roles in public companies and startups, founded four companies, and with over 200 patents and over 100 research publications.

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