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The Series Finale of Online Education: Coursera Acquires Udemy

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AI Engineer
Understanding AI Stakes to Break Production Code

Explore how to overcome GenAI production roadblocks by understanding project stakes—from accuracy and cost to privacy, compliance, and safety considerations.
- YouTube
- 23 minutes
- On-Demand
- Free Video
AI Engineer
Finetuning - 500M AI Agents in Production with 2 Engineers

Discover battle-tested techniques for scaling AI financial agents to 500M+ production interactions with just 2 engineers, covering fine-tuning, guardrails, and operational strategies.
- YouTube
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AI Engineer
RAG Agents in Production - 10 Lessons We Learned

Discover 10 critical lessons for deploying enterprise RAG systems at scale, from garbage-in-garbage-out principles to Fortune 500-ready robustness with RAG pioneer Douwe Kiela.
- YouTube
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AI Engineer
Customized Production-Ready Inference with Open Source Models

Discover how to deploy and optimize open source models for production-ready inference with customization techniques from PyTorch core maintainer and Fireworks.ai CTO.
- YouTube
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AI Engineer
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Discover core techniques for evaluating and improving retrieval systems to build better performing RAG applications with LLMs on private data.
- YouTube
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DevConf
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Discover SPAship, an open-source platform that streamlines SPA deployment from code to production in under 3 minutes with intuitive tools, CI/CD integration, and seamless OpenShift management.
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DevConf
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DevConf
AIOps - Automating and Scaling ML and LLM Workloads in Production

Explore production-grade ML/LLM deployment using AIOps with GitLab CI/CD, Terraform, GKE, and FastAPI. Build scalable pipelines and deploy self-hosted LLMs for intelligent Q&A systems.
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Make Pop Music
How to Produce Paid Projects Remotely - Step by Step Production Process

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Data Council
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Platform Engineering
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Weights & Biases
From Playground to Production - Turbocharging GenAI Innovation with AWS and Weights & Biases

Explore AWS and Weights & Biases integration for accelerating GenAI development from experimentation to production with Bedrock models, MLOps workflows, and monitoring tools.
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