Pragmatic AI Labs

Pragmatic AI Labs

Views:
592,041
Subscribers:
18,300
Videos:
1,167
Duration:
19:22:43:52
United States
United States

Pragmatic AI Labs is an American YouTube channel which has at least 18.3 thousand subscribers, publishing roughly 1.17 thousand videos which altogether total approximately 592.04 thousand views.

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





Top 300 Most Liked Videos by Pragmatic AI Labs


Video TitleRatingCategoryGame
201.Introduction to MLOps9
202.Computer Vision with ONNX, Coral, and other edge devices9
203.52 Weeks of Cloud: GPT-3 Book Interview9
204.Practical MLOPS Chap2 MLOps Foundations8
205.Build containers on AWS with Cloud9 and ECR!!!8
206.Learn to deploy a AWS ECS Fargate application for a .NET Blazor App.8
207.52 weeks AWS: Episode 19 - Solutions Architect Caching8Show
208.Pair Programming a Rust Chatbot using ChatGPT 4 and GitHub Copilot8
209.Key Skills Software Craftsmanship-10 Lessons8
210.Deploy Hello World Python Google App Engine8
211.Use magic functions in Google Colab.8
212.Live Coding in Rust: Unleash the Power of Systems Programming8
213.Learn Python in five Minutes with Colab Notebook8
214.Rust AWS step functions8
215.Assimilate-Python-For-Rust8Rust
216.Nic (crul)-CTO & Co-founder Crul, Inc. MLOPs Interviews8
217.Build an AWS Boto3 tool with Python Fire test it with CI/CD.8
218.Build Containerized FastAPI NLP Microservice on AWS8Let's Play
219.Learn to perform multi-cloud onboarding in Python8
220.Compiling Python from scratch with Github Codespaces8
221.Jason McCampbell- Rust @Wallaroo.AI8
222.Continuous Integration C# and Github Actions and Codespace8
223.Hand on healthcare review8Review
224.End to End MLOPs Hugging Face Application8
225.52-weeks-aws8
226.52 Weeks of AWS Episode 9:AWS Cookbook8
227.52 Weeks of AWS: O'Reilly AWS Cookbook Authors Interview8
228.Optimization With AWS Step Functions8
229.Google cloud functions for the impatient8
230.52 Weeks of AWS Live Stream: Episode 48Show
231.52 weeks Live Coding MLOPs: Episode 2: Serving TensorFlow Models8Show
232.52 weeks cloud episode12 GPT3 authors8Show
233.Running Minikube in GitHub Codespaces8
234.Learn to build solutions with Go and the AWS Cloud9 environment via the AWS SDK8
235.Quick Demo: GitHub Copilot CLI8
236.Build and Deploy Polars Rust Lambda with Function URLs8
237.🚀 Accelerate Python with High-Performance Rust Tools11
238.No Code & Low Code Business Analytics8
239.Saving with arm64 using Rust AWS Lambda8
240.How to create effective technical demo videos8Guide
241.Create an Apache Web Service with EC2 Spot8
242.Use static analysis and testing tools: pylint, pytest and coverage8
243.Optimization and Greedy Algorithms in One Hour7
244.Security Characteristics and Benefits of Microservices7
245.Build CLI with docker click codespaces and Github7
246.Arvs Lat: Author of Author of Machine Learning Engineering on AWS, Enterprise MLOps Interviews7
247.Datascience and Intermittent Fasting7
248.Part1: AWS python computer vision from zero rekognition aws cloud shell7
249.Launch AWS Spot Instances with Python.7
250.Data Science Projects7
251.Rust Polars Criterion Benchmarking7
252.Brief intro into what is IAC7
253.Call Python Rust7
254.Live Stream: The Rise of Linux Desktop for Professionals10
255.Exploring Hugging Face Starcoder in Rust on custom AWS GPU hardware7
256.Training Ludwig Declarative Deep Learning models using Mac Studio M1ultra7
257.How do I setup Github Actions?7
258.52 Weeks of AWS Live Stream: Episode 57Show
259.ETL sqlite10
260.Unfiring yourself in a tech job7
261.Introduction to AWS Lambda with Python and SAM7
262.🤝 Build Production CLIs with Rust 💪 and Python 🐍7
263.AWS Aurora serverless demo7
264.Introduction to Azure Cloud Shell7
265.4 2 what are vector db7
266.Learn to launch AWS Deep Learning Spot Instances using AWS Cloud97
267.What is ci7
268.4 1 picking database9
269.data-proc7
270.Configuring and Customizing GitHub CodeSpace: One Hour Deep Dive Alfredo Deza7
271.Enterprise MLOps Interview Brian Ray-10 Steps to MLOps7
272.Interview with the O'Reilly Authors of AWS Cookbook7
273.52 Weeks of AWS Episode 5: Cloud Practitioner Part3 + Network and Content Delivery, Compute/Storage7Show
274.52-Weeks-Live-Coding-MLOps-Episode-107
275.Setup Docker and push in AWS Cloud97
276.Build an end-to-end NLP command-line tool with Python7Let's Play
277.Effective Technical Teamwork7
278.Live Coding AWS CodeWhisperer for AWS7
279.52-Weeks-Live-Coding-MLOps-Episode-9 Diving into Ludwig7
280.Assimilate AWS by Coding7
281.Data Engineering with AWS Step Functions for the Impatient7
282.DevOps Theory Key Concepts7
283.Heavy vs Light MLOPs7
284.MLOPs Projects with Rust7
285.52 Weeks AWS: Episode 25-AWS ML Certification: Wk2-Introduction to ML7Show
286.52 Weeks of Cloud: GPT-3 Book Interview6
287.Ingesting Data by Batch vs Streaming with AWS Services7
288.Getting Started with Rust AWS Lambda Function URLs6
289.Maxime DAVID Live Stream on Rust6
290.Running a "Free" Local LLM (Bigcode) using just AWS GPUs and Rust Candle6
291.Learning Serverless6
292.Assimilate PyTorch6
293.Assimilate GitHub6
294.Build python project nlp text blob python fire complete6
295.Build Docker container scratch6
296.EP1- Assimilate Python from Zero6
297.What is Testing?6
298.Integrating Rust and Python with a Shared Library16
299.52 Weeks AWS6
300.Assimilate SQL6