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Hands-On AI: Building LLM-Powered Apps Preview

Hands-On AI: Building LLM-Powered Apps

With Han-chung Lee Liked by 76 users
Duration: 1h 16m Skill level: Intermediate Released: 2/26/2024

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Course details

Are you ready to start building applications with large language models (LLMs), but not sure where to begin? This course, which is designed uniquely for beginners with no experience in the LLM space, offers an overview of the fundamentals of LLMs with hands-on challenges to boost your skills along the way.

Explore the essentials of retrieval-augmented generation including search engine basics, embedding model limitations, and how to build a chat-with-PDF application. Along the way, instructor Han Lee shows you how to get up and running with prompt engineering, using the prompt playground for LLM apps.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.

Skills you’ll gain

Earn a sharable certificate

Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.

Sample certificate

Certificate of Completion

  • Showcase on your LinkedIn profile under “Licenses and Certificate” section

  • Download or print out as PDF to share with others

  • Share as image online to demonstrate your skill

Meet the instructor

Learner reviews

4.7 out of 5

64 ratings
  • 5 star
    Current value: 50 78%
  • 4 star
    Current value: 11 17%
  • 3 star
    Current value: 1 2%
  • 2 star
    Current value: 1 2%
  • 1 star
    Current value: 1 2%
  • Dong Seo Dong Seo

    Dong Seo

    Data, Process, People, and Technology

    5/5 June 18, 2024
    Han's hands-on session is great because he help me clear up my doubts on RAG and Vector DB. When he defines vector db as search engine, things seem to be much clearer. Plus, the exercises with Chroma, Open AI, and Chain Lit are very interesting and fully covered what I wanted to try out. Thank you.
    Helpful · Report
  • Daniel Roberts Daniel Roberts

    Daniel Roberts

    Program Management Leader | Technical Project Manager | Cross-functional leadership | Change Management | Process Optimization | AI/ML |…

    5/5 May 30, 2024
    Yes, recommend this course to anyone wanting to know about ML coding and the mechanics behind what ML is about
    Helpful · Report
  • Martin Green Martin Green

    Martin Green

    Versatile Software Support Engineer | Solutions & AV Expertise | JavaScript, Python, SQL

    2/5 March 26, 2024
    This is a very recent course but because of how fast these tools are being developed, it is already very out of date with the most recent versions. Normally that would be fine, but this course is centered around giving you prompts and telling you to figure it out based on the documentation. I haven't seen too many courses like that on this platform and I really like the idea, but since it is very difficult in this case to find the most useful documentation based on the code provided, it ultimately becomes a very frustrating experience. I do not feel like I am given the tools necessary to fully understand what I am being asked to code or how to find the closest approximation of the step in the documentation itself.
    Helpful · Report

Contents

What’s included

  • Learn on the go Access on tablet and phone

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