From the course: Generative AI and Large Language Models on AWS
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Python for data science in the era of Rust and generative AI - Amazon Web Services (AWS) Tutorial
From the course: Generative AI and Large Language Models on AWS
Python for data science in the era of Rust and generative AI
- [Instructor] Let's talk about "Python for Data Science in The Era of Rust and Generative AI." There's a few things that are very interesting that are emerging solutions. First up, let's talk about Python, the good parts. So Python is a very successful language. It's the most popular programming language in the world. And there are many things that are very good. So one of them is the data science libraries are very good, the prototyping is just amazing. Deep learning libraries are very good. It's an amazing language to teach with. In terms of documentation, it's just amazing as well because you can look at Python and understand many different systems, but I would say they're at their best when they're in a hosted notebook. This is probably the sweet spot for many of the optimal workflows because the packages have already been installed for you. And this is really the weakness of Python is the packaging system, but if you're using, let's say Google Colab or a University has a very…
Contents
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Course introduction55s
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Cloud service model for AI3m 47s
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Cloud deployment model for AI3m 35s
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Benefits of cloud computing3m 2s
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AWS cloud adoption framework for AI2m 46s
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Development environment for AI4m 18s
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MLOps challenges and opportunities with Python and Rust8m 18s
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Generative AI workflow with Rust5m 50s
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Python for data science in the era of Rust and generative AI6m 7s
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Emerging Rust LLMOps workflows3m 57s
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AWS CodeCatalyst for Rust4m 55s
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SageMaker Code editor3m 43s
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Lightsail for research3m 28s
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Serverless Bedrock diagram2m 28s
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Bedrock knowledge agent with retrieval-augmented generation (RAG)2m 6s
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Demo: AWS Bedrock list with Rust2m 50s
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Diagram: Serverless Rust on AWS2m 21s
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Diagram: Rust Axum Greedy Coin microservice3m 14s
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Demo: Rust Axum Greedy Coin3m 40s
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Demo: Rust Axum Docker4m 42s
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Diagram: Prompt engineering3m 47s
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Summarizing text with Claude5m 28s
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AWS CodeWhisperer for Rust7m 47s
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Installing and configuring CodeWhisperer2m 19s
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Using CodeWhisperer CLI4m 28s
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Building Bash functions5m 38s
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Building a Bash CLI3m 13s
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Key components of AWS Bedrock3m 11s
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Getting started with the Bedrock SDK2m 57s
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Cargo SDK for Rust Bedrock1m 25s
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Bedrock Boto3: Listing models2m 3s
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Rust: Listing Bedrock models1m 57s
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Invoking Claude with Bedrock3m 31s
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