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