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AI for Tech

LLM Engineering Essentials

Equip yourself with the knowledge and practical skills to fine-tune, optimize, and deploy large language models for real-world AI solutions. Explore prompt engineering, RAG techniques, and LLM agent design to elevate your AI engineering capabilities.
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Configure and deploy open-source LLMs efficiently to power real-world apps
Duration
30 hours
Level
Intermediate

Key Program Takeaways

Prompt Engineering Mastery
Learn advanced prompt design techniques to control outputs, improve reasoning, and enhance the accuracy of your LLM-powered tools.
Retrieval-Augmented Generation
Integrate vector databases and RAG to expand model knowledge, reduce hallucinations, and deliver more relevant, up-to-date responses.
Agent Development Skills
Build and orchestrate autonomous AI agents using tools like LangChain to create end-to-end, specialized solutions for complex tasks.

Modules Overview

3 Modules
Module 1. Introduction to Large Language Models
10h
Module 2. Prompting, Reasoning and RAG
10h
Module 3. LLM Deployment
10h

Built with experts.
Backed by real companies.

Stanislav Fedotov

Stanislav Fedotov

AI Program Lead at Nebius Academy
Nikita Pavlichenko

Nikita Pavlichenko

Senior Research Engineer at JetBrains
Alexey Bukhtiyarov

Alexey Bukhtiyarov

Engineer & Team Lead at Slingshot AI
Sergei Skvortsov

Sergei Skvortsov

Machine Learning Engineer (LLM) at Nebius
Aleksandr Umnov

Aleksandr Umnov

NLP Machine Learning Scientist at Booking.com
Sergei Petrov

Sergei Petrov

Machine Learning Engineer at Meta

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