AI Engineering Course
1h 36m 46s
English
Paid
Course description
This course is designed to help programmers and developers transition into the field of artificial intelligence engineering. You will thoroughly explore vector databases, indexing, large language models (LLM), and the attention mechanism.
Read more about the course
By the end of the course, you will understand how LLMs work and be able to use them to create real applications.
What you will learn:
- Develop mental models of how LLMs in the style of GPT work
- Understand processes such as tokenization, embeddings, attention, and masking
- Optimize LLM inference using caching, batching, and quantization
- Design and deploy RAG pipelines using vector databases
- Compare methods: prompt engineering, fine-tuning, and agent-based architectures
- Debug, monitor, and scale LLM systems in production
Watch Online
0:00
/ #1: Course Intro
All Course Lessons (21)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Course Intro Demo | 02:01 | |
| 2 | Usecase | 01:48 | |
| 3 | How are vectors constructed | 06:43 | |
| 4 | Choosing the right DB | 03:27 | |
| 5 | Vector compression | 03:27 | |
| 6 | Vector Search | 06:59 | |
| 7 | Milvus DB | 05:38 | |
| 8 | LLM Intro | 00:43 | |
| 9 | How LLMs work | 08:31 | |
| 10 | LLM text generation | 03:08 | |
| 11 | LLM improvements | 05:10 | |
| 12 | Attention | 05:28 | |
| 13 | Transformer Architecture | 03:40 | |
| 14 | KV Cache | 08:28 | |
| 15 | Paged Attention | 04:38 | |
| 16 | Mixture Of Experts | 04:01 | |
| 17 | Flash Attention | 03:40 | |
| 18 | Quantization | 03:33 | |
| 19 | Sparse Attention | 05:14 | |
| 20 | SLM and Distillation | 05:31 | |
| 21 | Speculative Decoding | 04:58 |
Unlock unlimited learning
Get instant access to all 20 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionBooks
Read Book AI Engineering Course
| # | Title |
|---|---|
| 1 | 1. Vector+Embeddings+&+Semantic+Space |
| 2 | 2. Compression+&+Quantization_+Scaling+Vectors+Efficiently-4 |
| 3 | 3. Indexing+Techniques_+Making+Vector+Search+Scale |
| 4 | 4. Search+Execution+Flow_+From+Query+to+Result |
| 5 | 5. LLMs+and+RAG |
| 6 | 6. What+is+Attention+and+Why+Does+It+Matter |
| 7 | 7. Paged+Attention |
| 8 | 8. Quantization+Summary |
Comments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
The Future Proof Dev: An Intro to AI for Web Developers
Sources: vueschool.io, Justin Schroeder, Daniel Kelly, Garrison Snelling
Get acquainted with artificial intelligence foundations for web development. The course will help you integrate AI into your projects and become a developer of
1 hour 7 minutes 22 seconds
Build and Deploy a SaaS AI Agent Platform
Sources: Code With Antonio
In this video course, you will create a video call application with AI support from scratch. You will learn how to set up real-time video communication...
13 hours 24 minutes 14 seconds
AI Design with Ideogram
Sources: designcode.io
Meet Ideogram - an image generation tool powered by artificial intelligence that turns your ideas into stunning visuals. Whether...
1 hour 3 minutes 49 seconds
Perplexity AI for Professionals
Sources: zerotomastery.io
Learn to use Perplexity AI to enhance research, automate tasks, and increase efficiency in the era of AI tools. The course is ideal...
56 minutes 25 seconds
Build Your First Product with LLMs, Prompting, RAG
Sources: Towards AI, Louis-François Bouchard
This practical intensive course will provide you with all the necessary skills to create a fully functional advanced product based on large language models...
2 hours 25 minutes 20 seconds