LlamaIndex Develop LLM powered apps (Legacy, V0.8.48)

(Legacy, V0.8.48) Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)
4.54 (1017 reviews)
Udemy
platform
English
language
Other
category
LlamaIndex Develop LLM powered apps  (Legacy, V0.8.48)
9 930
students
4.5 hours
content
Apr 2025
last update
$84.99
regular price

What you will learn

Become proficient in LlamaIndex

Have an end to end working LlamaIndex based generative AI application

Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LlamaIndex is built under the hood

Understand how to navigate inside the LlamaIndex opensource codebase

Large Language Models theory for software engineers

Vectorestores/ Vector Databases (Pinecone, FAISS,)

Retrieval Augmentation Generation (RAG)

Course Gallery

LlamaIndex Develop LLM powered apps  (Legacy, V0.8.48) – Screenshot 1
Screenshot 1LlamaIndex Develop LLM powered apps (Legacy, V0.8.48)
LlamaIndex Develop LLM powered apps  (Legacy, V0.8.48) – Screenshot 2
Screenshot 2LlamaIndex Develop LLM powered apps (Legacy, V0.8.48)
LlamaIndex Develop LLM powered apps  (Legacy, V0.8.48) – Screenshot 3
Screenshot 3LlamaIndex Develop LLM powered apps (Legacy, V0.8.48)
LlamaIndex Develop LLM powered apps  (Legacy, V0.8.48) – Screenshot 4
Screenshot 4LlamaIndex Develop LLM powered apps (Legacy, V0.8.48)

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Our Verdict

Though the course is generally easy to follow and offers a quick way to get started with LlamaIndex, its age has caught up with it. Up-to-date examples and functioning code are key components of a valuable learning experience—components that seem lacking in this case. Aiming for current documentation, packages and their respective classes will enable learners to better understand and utilize LLMs in developing innovative applications.

What We Liked

  • Covers a wide range of topics from LlamaIndex basics to advanced prompt engineering and vector stores
  • Includes practical advice and hands-on project experience for building LLM-powered applications
  • Clear instruction and dedicated support make it a valuable learning resource
  • Provides insights on writing LLM-powered applications in general

Potential Drawbacks

  • Course content is outdated and does not reflect the latest library imports or current versions of LlamaIndex
  • Examples and code provided may not work anymore, causing frustration for learners trying to follow along
  • Audio issues in videos and seemingly cut-and-paste content from other courses lead to a sloppy learning experience
  • Limited examples utilizing FREE LLM models like Ollama; reliance on OpenAi ChatGPT might be costly for testing and development
5609174
udemy ID
14/10/2023
course created date
29/10/2023
course indexed date
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course submited by