Introduction to Large Language Models Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This beginner-friendly course provides a concise introduction to Large Language Models (LLMs) and generative AI tools, designed to equip learners with foundational knowledge and practical skills. Through interactive assessments and hands-on practice, you'll explore core concepts, prompt tuning strategies, and Google's GenAI platforms. The course spans approximately 2.5 hours, making it ideal for professionals seeking a fast yet effective entry into the world of LLMs.

Module 1: Introduction to Large Language Models

Estimated time: 2.5 hours

  • Define Large Language Models and their role in AI systems
  • Explore real-world use cases of LLMs across industries
  • Explain how LLMs function within generative AI applications
  • Understand the basics of model training and inference

Module 2: Prompt Tuning and Effective Interaction

Estimated time: 0.5 hours

  • Learn the fundamentals of prompt engineering
  • Apply prompt tuning techniques to guide LLM outputs
  • Practice writing effective prompts for specific tasks

Module 3: Exploring Google’s Generative AI Tools

Estimated time: 0.5 hours

  • Discover Google's Model Garden for LLM access
  • Use Generative AI Studio to build and test models
  • Navigate key features of Google’s GenAI development environment

Module 4: Practical Applications of LLMs

Estimated time: 0.5 hours

  • Identify industry-specific use cases for LLMs
  • Analyze benefits and limitations of LLM deployment
  • Recognize ethical considerations in real-world applications

Module 5: Hands-On Practice with GenAI Tools

Estimated time: 0.5 hours

  • Complete an interactive assessment on prompt tuning
  • Perform a short hands-on assignment using Generative AI Studio
  • Test model responses and refine input prompts

Module 6: Final Project

Estimated time: 0.5 hours

  • Design a simple LLM-powered application idea
  • Write a series of optimized prompts for a use case
  • Present findings using GenAI tools explored in the course

Prerequisites

  • Familiarity with basic AI concepts
  • Access to a Google Cloud account (free tier available)
  • Basic computer literacy

What You'll Be Able to Do After

  • Explain what Large Language Models are and how they work
  • Identify practical use cases for LLMs in various industries
  • Apply prompt tuning strategies to improve LLM outputs
  • Use Google’s Model Garden and Generative AI Studio effectively
  • Create and test prompts in a real-world GenAI tool environment
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