Pragmatic AI Labs

Pragmatic AI Labs

Views:
590,305
Subscribers:
17,700
Videos:
1,146
Duration:
19:22:43:52
United States
United States

Pragmatic AI Labs is an American YouTube channel which has at least 17.7 thousand subscribers, publishing roughly 1.15 thousand videos which altogether total approximately 590.31 thousand views.

Created on ● Channel Link: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q



Top 400 Most Viewed Videos by Pragmatic AI Labs


Video TitleViewsCategoryGame
301.Solopreneurship204
302.Understand Cluster Analysis204
303.Learn to launch AWS Spot Instances204
304.End To End Mlops Hugging Face Application204
305.SRE Mindset for MLOps202
306.Hello World Introduction to Colab Notebook201
307.Build an AWS Boto3 tool with Python Fire test it with CI/CD.201
308.Hello world IAC with AWS CDK199
309.Refactoring a Python script into a library called by Python Click CLI198
310.Data Engineering with AWS Step Functions for the impatient194
311.Concurrency python193
312.MLOPs Projects192
313.Enterprise MLOps Interview Brian Ray-10 Steps to MLOps191
314.aws elastic beanstalk flask190
315.52 weeks AWS: Episode 19 - Solutions Architect Caching189Show
316.Part1: AWS python computer vision from zero rekognition aws cloud shell189
317.πŸ€– Verify Rust Code with Cargo Test189
318.Key Skills Software Craftsmanship-10 Lessons188
319.Logic to live188
320.MLOPs topics in the cloud188
321.Call Python Rust188
322.AWS Academy Data Engineering Module Deep Dive186
323.1minutetip-colab186
324.Containers VS Virtual Machines185
325.Jason McCampbell- Rust @Wallaroo.AI185
326.52 Weeks of AWS Episode 5: Cloud Practitioner Part3 + Network and Content Delivery, Compute/Storage184Show
327.Cloud-Native C# WEB SERVICES with AWS, CLOUD9, ECR and APP RUNNER183
328.AWS MLOps tools Sagemaker canvas studio182
329.Practical MLOPS Chap2 MLOps Foundations182
330.PyO3 Exceptions179
331.Cloud Continuous Delivery with Hugo and Cloud9179
332.Python command line one hour179
333.Data Science Projects179
334.52 Weeks of AWS Podcast and Live Stream: Episode 4178Show
335.52 Weeks of Live Coding .NET: Episode 2177
336.Arvs Lat: Author of Author of Machine Learning Engineering on AWS, Enterprise MLOps Interviews176
337.Build an end-to-end NLP command-line tool with Python176Let's Play
338.Building static S3 websites on AWS174
339.Container continuous delivery for AWS with App Runner174
340.Python Statements with Google Colab, IPython and GitHub CodeSpaces173
341.Learn to perform multi-cloud onboarding in Python173
342.πŸš€ Accelerate Python with High-Performance Rust Tools171
343.Heavy vs Light MLOPs171
344.Create an Apache Web Service with EC2 Spot171
345.Rust Polars Criterion Benchmarking170
346.Data Science Projects170
347.Data Engineering with AWS Step Functions for the Impatient169
348.1 5 building data science solutions169
349.πŸš€ Skyrocket Your Productivity with These 6 Game-Changing Techniques168
350.Load testing locust168
351.Story Telling with Data168
352.Cloud Containers on AWS from Zero with Python167
353.Benchmarking exotic and ridiculously powerful machines on AWS166
354.1 4 cloud computing build etl pipelines166
355.Hands on AutoML and Computer Vision in a Nutshell165Preview
356.Assimilate OpenAI w/ Rust165
357.MLOPs Projects with Rust164
358.DevOps Best Practices164
359.What is Testing?164
360.🀝 Build Production CLIs with Rust πŸ’ͺ and Python 🐍163
361.Build CLI with docker click codespaces and Github163
362.1 14 Embedded Rust CLI test163
363.Training Ludwig Declarative Deep Learning models using Mac Studio M1ultra163
364.debugging python163
365.Build a FRANKENSTIEN Open AI/HuggingFace/Streamlit App162
366.Maxime DAVID Live Stream on Rust161
367.efs onnx lambda rust inference mlops161
368.What is IAC?161
369.52 Weeks of Cloud: GPT-3 Book Interview161
370.52 Weeks of Cloud Episode 28: Conversation with Piero Molino and Ludwig/Predibase160Show
371.Continuous Delivery of Global Scale Hugo Static Site on AWS"160
372.Machine Learning Model Edge Cases159
373.🦾 Supercharge Your Organization with AI - 4 Key Areas to Focus On159
374.Enterprise-MLOps-Interview-Hugging-Face-O’Reilly-Authors159
375.Assimilate-Python-For-Rust158Rust
376.52 Weeks Live Coding MLOps: Episode 5-More Hugging Face (Building Computer Vision)157Show
377.Building AI APIs with .NET 6 and AWS Comprehend157
378.4 2 what are vector db157
379.Launch a vm with Terraform157
380.Real-world MLOps with Malcolm Smith Fraser Duke MIDS Alumni155
381.Running a "Free" Local LLM (Bigcode) using just AWS GPUs and Rust Candle154
382.52 Weeks of AWS-Episode 7: Developing on AWS154
383.Using Docker Hub with Jupyter153
384.Google cloud functions for the impatient153
385.Key Skills Software Craftsmanship-10 Lessons153
386.Live Coding Rust152
387.Introduction the Pragmatic AI Labs Platform152
388.52 Weeks of AWS Episode 25: AWS ML Cert-Sagemaker pipelines Part 2151Show
389.Episode 1 52 weeks swift: Getting Started151Show
390.Assimilate Hugging Face w/ Rust151
391.Master AI Orchestration with Local Models: Build Production-Ready Systems150
392.Conversation with Piero Molino and Ludwig/Predibase150
393.Running Kubernetes locally on OS X with a Flask sklearn application149
394.Live Coding Rust149
395.Serverless mlops EFS with Rust and ONNX149
396.Python functions simple to complex149
397.Picking database149
398.Brief intro to cloud computing service models148
399.πŸš€ Blast Off with Ruff: The Speedy Python Linter148
400.Getting started with Bash and Rust using AWS CodeWhisperer, VSCode, and AWS Toolkit for VSCode148