How will this course help me develop my own LLM application?

This course will provide the conceptual and practical skills necessary for taking your LLM application from idea to deployment and maintenance. You'll be taught the different phases of the LLMOps lifecycle, along with the challenges and considerations within each. You'll gain a solid understanding of the technical and operational aspects of building a reliable, efficient, and secure LLM application.

Who should learn about LLMOps?

Learning about the concepts within LLMOps would benefit anyone interested in leveraging or integrating AI solutions with LLM applications into their organization or personal project.

How is LLMOps different to MLOps?

LLMOps focuses on managing large-scale language models that primarily generate text, using prompt engineering and fine-tuning techniques. In contrast, MLOps handles smaller models applicable to various data types, involving feature engineering and model selection. LLMs are more unpredictable and can produce incorrect information, while traditional ML models are generally more predictable and produce task-specific outputs like labels or probabilities.

LLMOps Concepts | From Ideation to Deployment Course

Name: LLMOps Concepts
Rating: 4.8121730860675225 (2103 reviews)

LLMOps Concepts

BasicSkill Level

4.8+

2,103 reviews

Updated 06/2024

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

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Course Description

An Introduction to LLMOps

Embark on a journey into Large Language Model Operations (LLMOps). This course, designed for enthusiasts and professionals alike, guides you through the basics, from ideation to operational deployment.

Unlock the Essentials

Begin your exploration by unraveling the fundamentals of LLMOps. Understand its pivotal role within organizational landscapes and grasp the core concepts of LLMs and LLMOps. The primary focus of this course isn't on constructing your own foundational LLM. Instead, it's geared towards leveraging the capabilities of a foundational model for application within your organization.

Navigate the Lifecycle

Delving into the LLM application lifecycle will reveal its pivotal role in organizations. You will gain insights into the challenges and considerations at each stage and how to refine development and ensure smooth deployment while embracing data governance and security. After completing this course, you'll not only gain a solid grasp of LLMOps, but also be able to confidently apply these concepts in your work. Whether you're just starting out or eager to deepen your understanding, this course will boost your skills and guide you toward mastering LLMOps.

Prerequisites

Large Language Models (LLMs) Concepts

Introduction to LLMOps & Ideation Phase

This chapter provides an introduction to LLMOps and the ideation phase of LLM application development. It explains the basics of LLMOps, highlights the lifecycle stages of LLMs, and covers key activities in the ideation phase, such as data sourcing and selecting between open-source and proprietary LLMs.

Course Description

An Introduction to LLMOps

Unlock the Essentials

Navigate the Lifecycle

Earn Statement of Accomplishment

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FAQs

How is LLMOps different to MLOps?

Join over .css-nklxlk{color:var(--wf-brand--main, #03EF62);}19 million learners and start LLMOps Concepts today!

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Join over 19 million learners and start LLMOps Concepts today!