Direkt zum Inhalt
StartseiteArtificial Intelligence

LLMOps Concepts

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

Kurs Kostenlos Starten
3 Stunden12 Videos37 Übungen

Kostenloses Konto erstellen

GoogleLinkedInFacebook

oder

Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.
Group

Trainierst du 2 oder mehr?

Versuchen DataCamp for Business

Beliebt bei Lernenden in Tausenden Unternehmen

Kursbeschreibung

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.
Für Unternehmen

Trainierst du 2 oder mehr?

Verschaffen Sie Ihrem Team Zugriff auf die vollständige DataCamp-Plattform, einschließlich aller Funktionen.
DataCamp Für UnternehmenFür eine maßgeschneiderte Lösung buchen Sie eine Demo.

In den folgenden Tracks

Associate AI Engineer für Entwickler

Gehe zu Track
  1. 1

    Introduction to LLMOps & Ideation Phase

    Kostenlos

    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.

    Kapitel Jetzt Abspielen
    Overview of LLMOps
    50 xp
    LLMOps versus MLOps
    100 xp
    Relevancy of LLMOps
    50 xp
    Lifecycle of LLMs
    50 xp
    The purpose of lifecycle phases
    50 xp
    The application lifecycle
    100 xp
    Ideation phase
    50 xp
    Data sourcing
    50 xp
    Proprietary versus open-source models
    100 xp
    Selecting the right base model
    50 xp
  2. 2

    Development Phase

    This chapter focuses on the development phase of LLM application creation. It covers prompt engineering, agents and chains, RAG versus fine-tuning techniques, and testing methods.

    Kapitel Jetzt Abspielen
    Prompt engineering
    50 xp
    The importance of prompt engineering
    50 xp
    Trying out prompt engineering
    50 xp
    Keeping track of prompts
    50 xp
    Chains and agents
    50 xp
    The difference between agents and chains
    100 xp
    Choosing the right architecture
    50 xp
    RAG versus fine-tuning
    50 xp
    The RAG workflow
    100 xp
    Compare RAG with fine-tuning
    100 xp
    Testing
    50 xp
    Choosing the right metric
    100 xp
    The importance of testing
    50 xp
  3. 3

    Operational Phase

    This chapter focuses on the operational phase of LLM application deployment and management. We will cover deployment strategies like CI/CD, scaling techniques, monitoring practices, cost management strategies, and governance and security considerations. Mastering these concepts will help you efficiently manage LLM applications in operational environments.

    Kapitel Jetzt Abspielen
    Deployment
    50 xp
    The need for CI/CD
    50 xp
    The right scaling strategy
    100 xp
    Monitoring and observability
    50 xp
    Monitoring your application
    100 xp
    Alert handling
    50 xp
    Cost management
    50 xp
    Prompt compression
    50 xp
    Making a cost prognosis
    50 xp
    Governance and security
    50 xp
    Prompt injection
    50 xp
    Mitigation strategies
    100 xp
    Data integrity and poisoning
    50 xp
    Congratulations
    50 xp
Für Unternehmen

Trainierst du 2 oder mehr?

Verschaffen Sie Ihrem Team Zugriff auf die vollständige DataCamp-Plattform, einschließlich aller Funktionen.

In den folgenden Tracks

Associate AI Engineer für Entwickler

Gehe zu Track

Mitwirkende

Collaborator's avatar
James Chapman
Collaborator's avatar
Jasmin Ludolf
Collaborator's avatar
Francesca Donadoni

Audio aufgenommen von

Max Knobbout's avatar
Max Knobbout

Voraussetzungen

Large Language Models (LLMs) Concepts
Max Knobbout HeadshotMax Knobbout

Applied Scientist, Uber

Mehr Anzeigen

Was sagen andere Lernende?

    Melden Sie sich an 15 Millionen Lernende und starten Sie LLMOps Concepts Heute!

    Kostenloses Konto erstellen

    GoogleLinkedInFacebook

    oder

    Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.