Gen AI Data Science


Learn what Generative AI data scientists are currently doing at top tech companies

Course Topics

Actual business projects on real data. No pointless toy examples.

Based on inside knowledge about AI projects at a handful of top tech companies (Meta, Google, Amazon, Airbnb, etc.)


Learn how Gen AI data scientists are designing the launch of Meta AI, Meta AI Studio, Google Overviews, OpenAI new models, and more

Learn how Gen AI data scientists are using post-launch data to improve the user experience, suggest product changes, and improve the AI model itself

AI-based ads personalization, marketing, and content creation projects
Product data Science w/ AI: identify product strengths and weaknesses
People analytics and AI for the HR dept projects

Integrate AI into R/Python code and augment its knowledge via semantic search, clustering, SVM, etc.

Tutorial on building fully functional AI chatbot apps from scratch in Python or R


Easily customizable code to build and monetize your own app on a specific vertical. Actual examples of apps that were turned into profitable businesses

Samples

Case Study Introduction


What's the difference between Product DS and Gen AI DS case study questions?


See the lesson ->

All the case studies


A list of all the Gen AI case studies included in the course


See the lesson ->

Meta AI


How to use early-launch data to drive the development of Meta AI within Whatsapp


See the lesson ->

Identify corner case questions


A typical Gen AI DS task: define corner case questions and evaluate how the model permormed on those


See the lesson ->

Product Data Science via AI


A standard product data science analysis, but done via AI over text data


See the lesson ->

The new challenges of data science


Modern data science is mostly about dealing with trade-offs. An example based on Meta browsing behavior.


See the lesson ->

Can I pay for this via my employee training budget?


Yes, there is virtually no company that wouldn’t pay for an AI course right now.

My other employee training course (Full Course in Product Data Science) has been approved by managers at >200 companies and approval for this Data Science - Gen AI course should be even more straightforward.

If you need any help to facilitate the reimbursement process, want to see a sample of the invoice, or have any questions about how the reimbursement process works, please get in touch via info@datamasked.com

Pricing

$
  •   Lifetime access to course curriculum and all its updates

    The course is constantly updated. As DS - Gen AI evolves, new sections and new case studies will be added to the course, just like it happened for the Product DS course (that currently has ~70 case studies).



  •   Unlimited 1:1 support from course author for 1 year

    Prompt replies to any questions about the course material or anything related to DS - Gen AI. Most people privately share a Google doc and we use that to discuss all sorts of questions, additional case studies, etc.

    Additionally, you can also get help to build your own AI app if that's your goal. For instance, you can share your github and we can work together on it.



  •   Personalized feedback

    Send your solution for the exercises in the course. You’ll get a detailed feedback on your work



I have been creating educational material related to data science since 2015. Firstly focusing on job interviews (A Collection of Data Science Take-Home Challenges, 40 Data Science Product Questions, DS Coding Course) and, more recently, focusing on employee training (Full Course in Product Data Science first, and Data Science - Gen AI later).

The Full Course in Product Data Science was among the fastest courses ever to reach $1 million in sales on Teachable. The main idea behind all the material is to simulate the actual work data scientists do at top tech companies.

In 2023, I built and sold a Chatgpt app to Colgate. This course is largely based on that experience + inside knowledge about the early projects of Gen AI data scientists at top tech companies.

Prior to all this, I worked as a data scientist for several Silicon Valley tech companies, the last one being Airbnb.

FAQ

Yes, definitely. I can provide certificate, invoice, or anything else you need.

My other employee training course (Full Course in Product Data Science) has been approved by managers at >200 companies and approval for this course should be even more straightforward considering how hot AI is.

Yes. This course will be constantly updated. I am personally building stuff on AI, so I am as interested as anyone else on my skills staying up-to-date.

You can check here the current roadmap of what will be added to the course next.

For the case study sections, you need prior knowledge of product DS (e.g. you need to know the topics discussed here). On the technical side, you need knowledge of Python or R.

For any additional questions, please email info@datamasked.com