LLM and RAG | Updated with AI Agents
About this course
Welcome to a succinct and dynamic course tailored for individuals keen on diving into the world of Large Language Models (LLMs) and building custom applications. Whether you're a corporate IT professional concerned with data privacy or an AI enthusiast eager to leverage the power of LLMs, this course is designed for you! Here’s a sneak peek of what we’ll explore:Journey from NLP to LLMs:Unveil the evolution from Natural Language Processing (NLP) to the advent of LLMs and understand the significance of this progression.Technology Underpinning LLMs:Delve into the core technologies driving LLMs including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs) and Transformers.Fine TuningBuilding LLM-based Web Applications:Get hands-on with Streamlit and the OpenAI API to construct interactive web applications powered by LLMs.Step-by-step guidance on crafting web applications for chatbots, engaging with PDF files, and summarizing web pages.Building RAG applicationsIntroduction to LangChain:Explore LangChain as a framework to further enhance your LLM application development experience.ResourcesAll the codes and datasets used in the program are provided as downloadable resources.Refresher on Core NLP:A module for those wanting to brush up on the fundamentals of NLP to better grasp the advanced concepts presented.This course is a living entity! As the field of LLMs evolves, so will the course material to ensure you stay updated with the latest advancements.This course is perfectly suited for those aspiring to
69/100
CourseAsk score
- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the evolution from NLP to LLMs
- identify the key technologies that power LLMs
- build web applications utilizing LLMs
- work with Streamlit and the OpenAI API
- create applications for chatbots and summarize web pages
Course objectives
- provide a comprehensive overview of LLM technology
- offer hands-on experience in building LLM applications
- ensure course material remains current with developments in AI
Price shown by Udemy — confirm on their site.
Enroll on UdemyYou'll be redirected to Udemy to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Compared on these lists
Where this course ranks against the alternatives.