Was Sie vorher wissen sollten
bevor Sie beginnen

Beginnt 6 June 2026 17:56

Endet 6 June 2026

00 Tage
00 Stunden
00 Minuten
00 Sekunden
course image

Foundations of LLMs and Llama development

Discover the fundamentals of Large Language Models and Llama development, from environment setup to building chatbots and mastering prompt engineering techniques.
Meta via Coursera

Meta

2874 Kurse


Not Specified

Optionales Upgrade verfügbar

Not Specified

Lernen Sie in Ihrem eigenen Tempo

Paid Course

Optionales Upgrade verfügbar

Übersicht

Begin your journey into AI assistant development by mastering the fundamentals of Large Language Models (LLMs) and Llama. Learn to set up your development environment, build your first LLM-enabled chatbot, and understand the basics of prompt engineering while working with industry-standard tools and frameworks.

Lehrplan

  • Introduction to Large Language Models (LLMs)
  • Overview of LLMs and their role in AI
    Key concepts and terminology
  • Understanding Llama
  • What is Llama? Origins and evolution
    Comparing Llama with other LLMs
  • Setting Up the Development Environment
  • Required software and tools installation
    Configuration and best practices
    Git and version control basics
  • Building Your First LLM-enabled Chatbot
  • Introduction to chatbot architecture
    Designing conversational flows
    Implementing a basic Llama-powered chatbot
  • Basics of Prompt Engineering
  • Understanding prompt design
    Techniques for effective prompting
    Testing and refining prompts
  • Industry-standard Tools and Frameworks
  • Overview of popular AI frameworks
    Integrating LLMs using APIs and SDKs
    Hands-on with popular LLM libraries
  • Ethical Considerations and Challenges
  • Bias and fairness in LLMs
    Privacy and security concerns
    Responsible AI development
  • Capstone Project
  • Design and develop a custom LLM application
    Peer review and feedback sessions
    Presentation and demonstration of the final project

Unterrichtet von

Taught by Meta Staff


Fachgebiete

Computer Science