What will you learn in Introduction to Large Language Models Course
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Understand what Large Language Models (LLMs) are and how they function in AI systems.
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Identify practical use cases for LLMs across industries and tasks.
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Learn prompt tuning strategies to guide LLM outputs effectively.
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Explore Google’s generative AI development tools and platform.
Program Overview
Section 1: Introduction to Large Language Models
⏳ 154 minutes
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Topics: Define Large Language Models, explore use cases, explain prompt tuning, and introduce tools like Model Garden and Generative AI Studio.
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Hands-on: Practice prompt tuning techniques and explore Gen AI tools through interactive assessments and a short hands-on assignment.
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Job Outlook
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High global demand for AI-literate professionals and prompt engineers.
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Knowledge of LLMs and GenAI tools is increasingly valuable in roles like data analysts, AI product managers, and ML engineers.
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Entry-level roles may start at $60K–$90K, while GenAI consultants and ML specialists can earn over $120K.
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Prompt engineering, LLM optimization, and generative design are emerging skillsets for freelancers and startups.
Explore More Learning Paths
Deepen your understanding of Large Language Models (LLMs) and AI-driven applications with these hand-picked courses designed to help you build, deploy, and leverage LLMs effectively.
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Generative AI Engineering with LLMs Specialization Course – Learn to design, implement, and optimize LLM-powered applications and AI systems.
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Introduction to Large Language Models Course – Explore LLM fundamentals, architectures, and practical use cases in real-world scenarios.
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Guide to Building Python and LLM-based Multimodal Chatbots Course – Gain hands-on experience creating chatbots that integrate LLMs and Python for advanced conversational AI.
Related Reading
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What Is Data Management? – Understand how proper data management supports LLM performance, AI training, and application deployment.
