Core AI Concepts

Learn about supervised, unsupervised learning, overfitting, the data science loop, feature engineering and other core concepts.

Build Models w/o code!

Learn how to build a neural net to detect cats and dog by just "asking" Gemini and using it to enhance the model 20%!

Product/UX Strategies

Learn tips for designing the UX for your AI app, how to research to ensure it is user centered, prioritize features and make a puuuurfect roadmap!

About the Creator

Hi, I'm Dr. Satyugjit Singh Virk. I hold a PhD in Educational Psychology from Columbia and have worked at big tech companies such as Meta, AWS and Alexa AI and numerous startups designing and researching AI products. I love taking complex concepts and breaking down so they are easy to understand and visual. I love animals and hope you enjoy these cute cat and dog examples, designed to make the content easy to understand and fun!

Course Curriculum

9 Chapters · 39 Lessons

  1. 1

    Bird Eye's View of Course

    1. Course Intro Free preview
    2. When NOT to use Machine Learning Free preview
    3. (Included in full purchase)

      Roadmap Checklist

    4. (Included in full purchase)

      Roadmap Overview

  2. 2

    Core Concepts in Machine Learning

    1. Core Machine Learning Concept Free preview
    2. (Included in full purchase)

      Major AI Use Cases

    3. 3 Types of Machine Learning Free preview
    4. Supervised Learning Free preview
    5. Unsupervised Learning Free preview
    6. (Included in full purchase)

      Semi-supervised learning

    7. (Included in full purchase)

      Reinforcement Learning

    8. (Included in full purchase)

      Over/Underfitting

  3. 3

    Data Science Loop

    1. (Included in full purchase)

      Data Science Process

    2. (Included in full purchase)

      Comparing Data Roles

    3. (Included in full purchase)

      Data Science Loop

    4. (Included in full purchase)

      Apply data science loop to your product!

    5. Limitations of AI Free preview
  4. 4

    Top Algorithms

    1. (Included in full purchase)

      Top 10 Algos

    2. (Included in full purchase)

      Linear Regression Overview

    3. (Included in full purchase)

      Linear Regression Pros Cons

  5. 5

    Success Metrics

    1. (Included in full purchase)

      Success Metrics for Classification

    2. (Included in full purchase)

      ROC AUC Curves

    3. Product Success Metrics Free preview
    4. (Included in full purchase)

      Think of Success Metrics for Your Project

  6. 6

    Deep Learning Intro (CNN's)

    1. (Included in full purchase)

      CNN's Generally

    2. (Included in full purchase)

      Using Gemini and Natural Language to Vibe Code a Cat/Dog Detection Model

  7. 7

    UX for AI Products

    1. (Included in full purchase)

      UX Considerations

    2. (Included in full purchase)

      AI UX-Product-Eng Trifecta!

    3. (Included in full purchase)

      Make a UX Mockup for Your AI Idea

  8. 8

    User Research for AI Products

    1. Sample Selection for your Research Study Free preview
    2. (Included in full purchase)

      Special Considerations I for AI Product Research

    3. (Included in full purchase)

      Special Considerations II for AI Product Research

    4. (Included in full purchase)

      Research Roadmap

    5. (Included in full purchase)

      Post a Research Roadmap for Your Product Here!

  9. 9

    Product Roadmap Structure

    1. (Included in full purchase)

      Revisit AI Disclaimer

    2. (Included in full purchase)

      PM Specific Questions to Consider

    3. Product Roadmap Questions Free preview
    4. (Included in full purchase)

      Product Management Roadmap Template

    5. (Included in full purchase)

      Post Your Final Product Roadmap!

What People Are Saying

See how my course has helped designers, product managers and researchers upskill their quant game:

"I love cats and dogs, so these examples made the concepts so easy to understand and engaging. I work in UX so it was great to see what additional issues I should consider when designing and research UX AI apps and how to make sure my product roadmap prioritizes things effectively."
Mark F.

UX Ops, Google

”
"This course really helped me feel confident in AI fundamentals. I always wanted to learn how to make AI models, so I loved learning how to use Gemini to vibe code a model and then enhance its accuracy. I can't wait to try it out to build and refine a model."
Albert L.

UX Designer, ServiceNow

”
"As a new tech entrepreneur, this course really helped me understand core AI concepts and to use research to develop my product effectively. It gave me confidence what I was building would be what users want, easy to use and helped me talk with data science more effectively when building a model for my app."
Lesley R.

CEO, BrainHome

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