Oreilly – Introduction to Large Language Models (LLMs) and Prompt Engineering 2025-5

Oreilly – Introduction to Large Language Models (LLMs) and Prompt Engineering 2025-5 Downloadly IRSpace

Aug 16, 2025 - 07:28 Updated: Aug 17, 2025 - 20:05

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Oreilly – Introduction to Large Language Models (LLMs) and Prompt Engineering 2025-5

Introduction to Large Language Models (LLMs) and Prompt Engineering is a course published by Oreilly Online Academy that demystifies how AI language models like GPT work and how to effectively interact with them using rapid engineering techniques. Introduction to Large Language Models (LLMs) and Prompt Engineering is a beginner-friendly course designed to demystify how AI language models like GPT work and how to effectively interact with them using rapid engineering techniques. The course provides both conceptual understanding and practical tools to harness the power of LLMs in a variety of domains. Introduction to Large Language Models (LLMs) and Prompt Engineering guides you through the implementation of LLMs such as GPT, Llama, Claude, T5, and BERT at scale. The course provides a step-by-step approach to building and deploying LLMs, along with real-world case studies to illustrate the concepts.

This course begins with the basics of LLMs and explains the architecture, capabilities, limitations, and role of transformative models in natural language processing. The course introduces rapid engineering strategies such as zero-shot, multi-shot, and thought chains to effectively guide model behavior. The course includes hands-on labs using tools such as the OpenAI Playground or APIs, and by the end, participants will be equipped to design high-quality stimuli and confidently integrate LLMs into projects or workflows.

What you will learn in Introduction to Large Language Models (LLMs) and Prompt Engineering:

Deploy Large Language Models (LLM) and use semantic search with them
Use agile engineering principles to build agents and a Retrieval Augmentative Generation (RAG) bot with OpenAI and GPT-4
Understand how AI agents are built and work
And…

Course specifications

Publisher: Oreilly
Instructors: Sinan Ozdemir
Language: English
Level: Intermediate
Number of Lessons: 25
Duration: 5 hours

Course topics

Introduction to Large Language Models (LLMs) and Prompt Engineering Content

Introduction to Large Language Models (LLMs) and Prompt Engineering Prerequisites

Python 3 proficiency with some experience working in interactive Python environments including Notebooks (Jupyter/Google Colab/Kaggle Kernels)

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Introduction to Large Language Models (LLMs) and Prompt Engineering

Oreilly – Introduction to Large Language Models (LLMs) and Prompt Engineering 2025-5