5-Day Google GenAI Course

Welcome to the 5-Day Google Generative AI (GenAI) Course! This course is designed to help you explore and implement cutting-edge Generative AI technologies using Google's tools and platforms.

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Course Outline

Day 1: Foundational Large Language Models & Prompt Engineering

🎒 Assignments:

1. Complete the Intro Unit:

   • [Optional] Listen to the summary podcast (NotebookLM Foundational Concepts Playlist).
   • Read the “Foundational Large Language Models & Text Generation” whitepaper.

2. Complete Unit 1: Prompt Engineering:

   • Read the “Prompt Engineering” whitepaper.
   • Complete the Kaggle codelab: Prompting Fundamentals (Phone verification required).

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Day 2: Embeddings and Vector Stores

🎒 Assignments:

1. Complete Unit 2:

• [Optional] Listen to the summary podcast (NotebookLM Embeddings Playlist).
• Read the “Embeddings and Vector Stores/Databases” whitepaper.
• Complete these Kaggle codelabs:
  • Build a RAG Question-Answering System
  • Explore Text Similarity with Embeddings
  • Build a Neural Classification Network with Keras

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Day 3: Generative AI Agents

🎒 Assignments:

1. Complete Unit 3:

• [Optional] Listen to the summary podcast (NotebookLM Generative AI Agents Playlist).
• Read the “Generative AI Agents” whitepaper.
• Complete these Kaggle codelabs:
  • Talk to a Database with Function Calling
  • Build an Agentic Ordering System in LangGraph

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Day 4: Domain-Specific LLMs

🎒 Assignments:

1. Complete Unit 4:

• [Optional] Listen to the summary podcast (NotebookLM Domain-Specific LLMs Playlist).
• Read the “Solving Domain-Specific Problems Using LLMs” whitepaper.
• Complete these Kaggle codelabs:
  • Use Google Search Data in Generation
  • Tune a Gemini Model for a Custom Task

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Day 5: MLOps for Generative AI

🎒 Final Assignment:

1. Complete Unit 5:

• [Optional] Listen to the summary podcast (NotebookLM MLOps Playlist).
• Read the “MLOps for Generative AI” whitepaper.