CourseFlix

Build Your First Product with LLMs, Prompting, RAG

2h 25m 20s
English
Paid

Unlock your potential with our comprehensive course that equips you with the skills to build an advanced product using large language models (LLMs). From ideation to deployment, this course covers it all.

Course Highlights

Hands-On Project

This course provides a real "turnkey" project experience. You'll progress through each stage of development by working on your own LLM product. This includes data gathering, building a Retrieval-Augmented Generation (RAG) pipeline, designing the user interface, and deploying the service with OpenAI, LlamaIndex, and Gradio.

Portfolio and MVP Creation

Your final project will serve not just as a learning experience but as a significant portfolio piece or even a minimal viable product (MVP) for a startup or company. It’s a step towards creating tangible value.

Career Advancement

With the rise in demand for LLM Developers, this course positions you to gain a competitive edge in the job market. It prepares you to confidently tackle technical interviews and excel in your career.

Understanding the LLM Ecosystem

Beyond technical techniques like prompt engineering and fine-tuning, you'll delve into the economics of GenAI, niche selection, and monetization strategies, ensuring a deep understanding of the ecosystem.

Scaling LLM Solutions

Learn to adapt LLM solutions for corporate environments, ensuring reliability, accuracy, and security as you scale your user base.

Target Audience

  • Developers, ML engineers, and data scientists eager to transition into an LLM Developer role
  • Computer science and AI students poised to make significant career advances
  • Senior engineers aiming to implement GenAI solutions within their organizations or to launch startups

Prerequisites

  • Intermediate to advanced proficiency in Python
  • Basic understanding of Git and GitHub
  • Commitment to dedicate at least 50 hours for practice and learning

Over more than 50 hours of immersive live sessions and hands-on practice, you'll transform into a professional ready to create, deploy, and scale sophisticated GenAI products. Join us to become one of the leading LLM developers in the field!

About the Authors

Louis-François Bouchard

Louis-François Bouchard thumbnail

Louis-François Bouchard is a French-Canadian AI engineer and educator behind the What's AI newsletter and YouTube channel — one of the more accessible explainer sources on modern AI research. He is also the lead instructor for several courses on the Towards AI platform, where he teaches the production-engineering side of LLM applications.

His CourseFlix listing carries six Louis-François Bouchard courses spanning the applied AI track: Building LLMs for Production, 10-Hour LLM Fundamentals, Build Your First Product with LLMs / Prompting / RAG, Master AI for Work, Beginner Python Primer for AI Engineering, and the Agentic AI Engineering Course.

Material is paid and aimed at engineers picking up applied LLM work as a serious skill. For broader content, see CourseFlix's LLMs & Fundamentals, RAG, and AI Agents category pages.

Towards AI

Towards AI thumbnail

Towards AI is one of the larger AI-focused publishers on the open web — originally a Medium publication and now a multi-author content platform plus a paid course catalog focused on production LLM engineering. The brand has tracked the post-ChatGPT generative-AI wave from inside the field rather than from a generic SaaS-marketing perspective.

The CourseFlix listing reflects their applied focus: Building LLMs for Production, 10-Hour LLM Fundamentals, Build Your First Product with LLMs, Prompting, RAG, the Agentic AI Engineering Course, Beginner Python Primer for AI Engineering, and Master AI for Work. Material is paid and aimed at engineers who already know Python and want to ship production AI features rather than read a survey of the field.

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#1: From Beginner to Advanced LLM Developer | The Towards AI Academy
All Course Lessons (26)
#Lesson TitleDurationAccess
1
From Beginner to Advanced LLM Developer | The Towards AI Academy Demo
05:21
2
Why Learn How to Use and Customize LLMs
09:20
3
Part 1: Section Overview: Building Our RAG AI Tutor; Introduction to Using LLMs
02:21
4
To use a LLM or to not use it?
09:16
5
What is Prompting? Talking with AI Models...
04:55
6
What is Prompt Injection? Can you Hack a Prompt?
05:51
7
Part 1: Section Overview: Building Our RAG AI Tutor; Using Basic RAG for Our Project
01:29
8
What is RAG?
09:41
9
Part 1: Section Overview: Building Our RAG AI Tutor; Developing a RAG AI Tutor With LLamaIndex
01:15
10
How vector DBs work and when to use one
11:09
11
RAG Evaluations
10:43
12
Part 1: Section Overview: Building Our RAG AI Tutor; Using Other LLMs and Embedding Models
01:23
13
Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!
01:34
14
Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!
01:35
15
Advanced Search Techniques: From Keywords to Graphs
10:31
16
What is Indexing? Indexing Methods for Vector Retrieval
08:36
17
Part 1: Section Overview: Building Our RAG AI Tutor; Fine-Tuning
01:05
18
Optimizing the model - inference and fine-tuning
12:46
19
Is fine-tuning an embedding model worth? When should you do it? Why? What is it?
08:46
20
Part 1: Section Overview: Building Our RAG AI Tutor; Expanded RAG Toolkit
01:39
21
Long Context LLMs vs. RAG
06:47
22
Part 1: Section Overview: Building and Deploying the Final RAG Chatbot
01:20
23
Part 2: Section Overview: More LLM Capabilities & Other Useful AI Models
01:15
24
Part 2 Section Overview More LLM Frameworks and Tools
01:45
25
Part 2: Section Overview: LLM Optimizations for Deployment
01:28
26
Best tips for Pruning and Distillation (Minitron Paper)
13:29
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Course content

26 lessons · 2h 25m 20s
Show all 26 lessons
  1. 1 From Beginner to Advanced LLM Developer | The Towards AI Academy 05:21
  2. 2 Why Learn How to Use and Customize LLMs 09:20
  3. 3 Part 1: Section Overview: Building Our RAG AI Tutor; Introduction to Using LLMs 02:21
  4. 4 To use a LLM or to not use it? 09:16
  5. 5 What is Prompting? Talking with AI Models... 04:55
  6. 6 What is Prompt Injection? Can you Hack a Prompt? 05:51
  7. 7 Part 1: Section Overview: Building Our RAG AI Tutor; Using Basic RAG for Our Project 01:29
  8. 8 What is RAG? 09:41
  9. 9 Part 1: Section Overview: Building Our RAG AI Tutor; Developing a RAG AI Tutor With LLamaIndex 01:15
  10. 10 How vector DBs work and when to use one 11:09
  11. 11 RAG Evaluations 10:43
  12. 12 Part 1: Section Overview: Building Our RAG AI Tutor; Using Other LLMs and Embedding Models 01:23
  13. 13 Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data! 01:34
  14. 14 Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data! 01:35
  15. 15 Advanced Search Techniques: From Keywords to Graphs 10:31
  16. 16 What is Indexing? Indexing Methods for Vector Retrieval 08:36
  17. 17 Part 1: Section Overview: Building Our RAG AI Tutor; Fine-Tuning 01:05
  18. 18 Optimizing the model - inference and fine-tuning 12:46
  19. 19 Is fine-tuning an embedding model worth? When should you do it? Why? What is it? 08:46
  20. 20 Part 1: Section Overview: Building Our RAG AI Tutor; Expanded RAG Toolkit 01:39
  21. 21 Long Context LLMs vs. RAG 06:47
  22. 22 Part 1: Section Overview: Building and Deploying the Final RAG Chatbot 01:20
  23. 23 Part 2: Section Overview: More LLM Capabilities & Other Useful AI Models 01:15
  24. 24 Part 2 Section Overview More LLM Frameworks and Tools 01:45
  25. 25 Part 2: Section Overview: LLM Optimizations for Deployment 01:28
  26. 26 Best tips for Pruning and Distillation (Minitron Paper) 13:29

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Frequently asked questions

What is Build Your First Product with LLMs, Prompting, RAG about?
Unlock your potential with our comprehensive course that equips you with the skills to build an advanced product using large language models (LLMs). From ideation to deployment, this course covers it all. Course Highlights Hands-On Project…
Who teaches Build Your First Product with LLMs, Prompting, RAG?
Build Your First Product with LLMs, Prompting, RAG is taught by Louis-François Bouchard, Towards AI. You can find more courses by these instructors on the corresponding source pages.
How long is Build Your First Product with LLMs, Prompting, RAG?
Build Your First Product with LLMs, Prompting, RAG contains 26 lessons with a total runtime of 2 hours 25 minutes. All lessons are available to watch online at your own pace.
Is Build Your First Product with LLMs, Prompting, RAG free to watch?
Build Your First Product with LLMs, Prompting, RAG is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Build Your First Product with LLMs, Prompting, RAG online?
Build Your First Product with LLMs, Prompting, RAG is available to watch online on CourseFlix at https://courseflix.net/course/build-your-first-product-with-llms-prompting-rag. The page hosts every lesson with the integrated video player; no download is required.