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lesson

LLM Production Chain (Inference, Deployment, CI/CD)AI Bootcamp

- Map the end-to-end LLM production chain: data, serving, latency, monitoring - Explore multi-tenant LLM APIs, vector databases, caching, rate limiting - Understand tradeoffs between hosting vs using APIs, and inference tuning - Plan a scalable serving stack (e.g., LLM + vector DB + API + orchestrator) - Learn about LLMOps roles, workflows, and production-level tooling

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Dr. Dipen
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zaoyang
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lesson

Deployment 3 - File System + Netlify CLI

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Deployment 2 - File System + Netlify UILightspeed Deployments

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GC Tsalamagkakis
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lesson

deployment requirementsAI Bootcamp

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Alvin Wan
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zaoyang
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lesson

Prepare the Redux Server for DeploymentFullstack React with TypeScript Masterclass

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Maksim Ivanov
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Securing an AWS Virtual Private Cloud for Django DeploymentServerless Django with Zappa

Into your secure VPC

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Edgar Roman
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lesson

What You Need to Know About AWS Lambda DeploymentsServerless Django with Zappa

Serverless projects sometimes need changes

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Edgar Roman
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lesson

Creating and Configuring an AWS Account for Zappa DeploymentServerless Django with Zappa

We establish the necessary AWS credentials

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Edgar Roman
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Streamlining Configuration Updates for Canary DeploymentsReliable Webservers with Go

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Nat Welch
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Steve McCarthy
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Understanding the Basics of Canary DeploymentsReliable Webservers with Go

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Steve McCarthy
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Nat Welch
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lesson

The Beginner Guide to AWS Lambda DeploymentCreate a Serverless Slackbot with AWS Lambda and Python

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Stephanie Prime
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lesson

How to Use the Truffle Migrate Script for Contract DeploymentsCreating an ERC20 Token on Ethereum

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Mehran Hydary