Course.

What is the 5-Day Gen AI Intensive Course with Google?

It is an intensive Gen AI learning course for anyone interested in learning more about the fundamental technologies and techniques behind Generative AI.

What we learned:

• Day 1: Foundational Models & Prompt Engineering

• Day 2: Embeddings and Vector Stores/Databases

• Day 3: Generative AI Agents

• Day 4: Domain-Specific LLMs

• Day 5: MLOps for Generative AI

• Capstone Project:  This capstone project gives us the opportunity to apply our knowledge and skills gained from the course to a real-world use case in a Kaggle notebook. We’ll need to demonstrate at least three generative AI capabilities we’ve learned during the course.

  Notebook scoring (out of 10 points):

  • Use Case and Innovation (up to 5 points for the Notebook):

    • how creative, novel, innovative, or impactful is the use case?

    • how well-suited is the usage of the gen AI capabilities to the use case shown?

    Documentation quality (up to 5 points for the Notebook):

    • how clear is the notebook documented? (if it's only code cells, the score would be 0)

    • does the notebook start with a clear use case or problem, and how gen AI can solve the problem?

    • does the notebook show and explain how the problem is solved in code with gen AI?

    Blogpost (Bonus multiplier up to 1.5x):

    • does the blogpost communicate a clear use case or problem, and how gen AI can solve the problem?

    • does the blogpost show some snippets of code to demonstrate how it was implemented?

    • does the blogpost talk about limitations of the technology or approach, and/or future art-of-the-possible?

    YouTube video (Bonus multiplier up to 1.5x):

    • does the YouTube video have a combination of visuals and a voiceover?

    • does the YouTube video have a good combination of technical explanation and storytelling?

(Course by Anant Nawalgaria, Mark McDonald, Paige Bailey, and many other contributors from Google)