TGViewer
Artem Ryblov’s Data Science Weekly Artem Ryblov’s Data Science Weekly @data_science_weekly · 685 subscribers
Post #165 911
LLM Engineering Essentials by Nebius Academy

Gain the skills to build LLM-powered services that work. Master LLM APIs and self-hosted LLMs as you code, experiment, and create a platform for custom AI-powered NPCs.

During the course you will:
1. Understand the fundamentals of LLM APIs and workflows to create a chatbot based on your favorite fantasy character
2. Learn to work with self-hosted LLMs, encoders, and vector stores, and build a RAG system
3. Explore monitoring tools like Prometheus and Grafana. Optimize and fine-tune your LLM-powered service

Syllabus:

Week 1. LLM Basics
Week 2. LLM Workflows
Week 3. Context
Week 4. Self-served LLMs
Week 5. Optimization and Monitoring
Week 6. Fine-Tuning

Link: GitHub

Navigational hashtags: #armcourses
General hashtags: #llm #largelanguagemodels

@data_science_weekly
  • 👍 10
More from @data_science_weekly
  1. Sep 27, 2026How to Make Learning as Addictive as Social Media by Luis von Ahn, TED2023 When building D…
  2. Sep 20, 2026Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy Chen, Nial…
  3. Sep 13, 2026A Short Note on P-Value Hacking by Nassim Nicholas Taleb The paper works out the exact pro…
  4. Sep 6, 2026SQLBolt — Learn SQL with simple, interactive exercises Every lesson runs a database in the…
  5. Aug 16, 2026Machine Learning by Neetcode Solve ML problems from scratch, from gradient descent to a wo…
  6. Aug 9, 2026CS 224V Conversational Virtual Assistants with Deep Learning by Stanford University Genera…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →