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Google

Google DeepMind : 08 Capstone: Develop Your Model for Real-World Impact

Google via Google Skills

Overview

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In this Google DeepMind course, you will complete a capstone project that brings together the technical knowledge, ethical awareness, and creative problem-solving skills that you have developed throughout the Google DeepMind: AI Research Foundations curriculum. You will apply what you have learned to a problem of your choosing. You will first plan your project to ensure that you are clear on your project aims and intended impact. You will then collect and prepare data for your model. Finally, you will implement a full fine-tuning workflow using Gemma 3 with low-rank adaptation (LoRA) and evaluate its performance. You will receive guidance, but the emphasis will be on adaptation and experimentation - skills that are essential for applied AI research.

Syllabus

  • Introduction
    • From learner to responsible practitioner
    • Bring your vision to life
    • Learning objectives
    • How to get the most out of this course
    • Your journey in AI
  • 1. Refining your project plan
    • Review your project plan
    • Refine your problem statement
    • Categorize your problem
    • Project overview
    • Develop your technical proposal
    • Revise your impact statement
    • Refine your project plan further
  • 2. Building and preparing your dataset
    • Dataset collection strategies
    • Build your dataset
    • Lab: Worked Example - Build Your Dataset
    • Lab: Prepare Your Data For Building Your Model
    • Revise your Data Card
  • 3. Training and evaluating your model
    • Lab: Train And Evaluate Your Model
    • What has changed in how you think about LLMs?
    • Knowledge check
  • Continue your journey
    • Best practices for sharing your work
    • Reflection
    • Looking forward
    • Additional resources and further reading
    • Glossary
    • Feedback
  • Your Next Steps
    • Completion

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