AI Engineering in 76 Minutes: Complete Course Overview

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All images are from the book AI Engineering unless otherwise credited.

⏰ Timestamps
00:00 What is AI Engineering?
01:49 Understanding Foundation Models
08:40 Evaluating AI Models
14:50 Model Selection
23:15 Prompt Engineering
30:20 RAG and Context Construction
36:56 Agents and Memory Systems
43:02 Finetuning
52:40 Dataset Engineering
59:45 Inference Optimization
01:09:01 Architecture and User Feedback
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📝 Transcript of this video: https://medium.com/data-science-collective/ai-engineering-1-3-foundation-models-evaluation-and-model-selection-889afd06b0ba

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And here’s that StatQuest transformers video I promised: https://www.youtube.com/watch?v=zxQyTK8quyY
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🦫 About me
I am an Applied Scientist (basically, a blend of Data Scientist/Machine Learning Engineer) at Twitch/Amazon. Outside of my full-time job I'm a technical mentor at a machine learning bootcamp, and a 1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds.

I’m also a Certified Personal Trainer, always busy with too many interests, and really, deeply happy with my life. I hope to be able to help others achieve these things, too.

Instagram: / gratitudedriven
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✉️ Contact
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Business email: business@gratitudedriven.com
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⚖️ Disclaimer
The views and opinions expressed in this video are my own and do not reflect the official policy or position of Twitch/Amazon or any other company I have worked for. All advice and insights shared here are based on my personal experiences and should be considered as such.

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#aiengineering #ai #machinelearning