What Is React Native? Beginner’s Guide + FAQ
August 9, 2024
Article
Instructor: Alfredo Deza
3,336 already enrolled
Included with
(33 reviews)
Recommended experience
Intermediate level
Some experience with Python, including installing dependencies. Familiarity with the terminal is recommended
(33 reviews)
Recommended experience
Intermediate level
Some experience with Python, including installing dependencies. Familiarity with the terminal is recommended
Create a Retrieval Augmented Generation system
Use your own data with a Large Language Model
Add to your LinkedIn profile
Only available on desktop
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create Embeddings
Some experience with Python, including installing dependencies. Familiarity with the terminal is recommended
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
33 reviews
60.60%
24.24%
3.03%
9.09%
3.03%
Showing 3 of 33
Reviewed on May 16, 2024
Good Exercise for introduction RAG by LLM and VectorDB
Reviewed on Oct 24, 2024
The project is easy to follow for an experienced developer.
Reviewed on Oct 6, 2024
The guided project helped me understand RAG and its application in a concise and accurate manner. The project code was very helpful in understanding the workflow of implementing RAG with LLMS.
Coursera Instructor Network
Course
Coursera Project Network
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.