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 300 Most Liked Videos by Pragmatic AI Labs


Video TitleRatingCategoryGame
201.Cloud Continuous Delivery with Hugo and Cloud99
202.Functions from zero9
203.Setup Azure Cloud Shell with Github9
204.Quick Demo: GitHub Copilot CLI8
205.Use static analysis and testing tools: pylint, pytest and coverage8
206.52 weeks AWS: Episode 19 - Solutions Architect Caching8Show
207.Learn Python in five Minutes with Colab Notebook8
208.Use magic functions in Google Colab.8
209.Build Containerized FastAPI NLP Microservice on AWS8Let's Play
210.Running Minikube in GitHub Codespaces8
211.52 Weeks of AWS Live Stream: Episode 48Show
212.Learn to deploy a AWS ECS Fargate application for a .NET Blazor App.8
213.52-weeks-aws8
214.Nic (crul)-CTO & Co-founder Crul, Inc. MLOPs Interviews8
215.Create an Apache Web Service with EC2 Spot8
216.Assimilate-Python-For-Rust8Rust
217.Jason McCampbell- Rust @Wallaroo.AI8
218.Saving with arm64 using Rust AWS Lambda8
219.Key Skills Software Craftsmanship-10 Lessons8
220.Google cloud functions for the impatient8
221.Build and Deploy Polars Rust Lambda with Function URLs8
222.πŸš€ Accelerate Python with High-Performance Rust Tools11
223.No Code & Low Code Business Analytics8
224.Optimization With AWS Step Functions8
225.Hand on healthcare review8Review
226.How to create effective technical demo videos8Guide
227.End to End MLOPs Hugging Face Application8
228.Build containers on AWS with Cloud9 and ECR!!!8
229.52 weeks Live Coding MLOPs: Episode 2: Serving TensorFlow Models8Show
230.Build an AWS Boto3 tool with Python Fire test it with CI/CD.8
231.Deploy Hello World Python Google App Engine8
232.Learn to build solutions with Go and the AWS Cloud9 environment via the AWS SDK8
233.Live Coding in Rust: Unleash the Power of Systems Programming8
234.Learn to perform multi-cloud onboarding in Python8
235.52 weeks cloud episode12 GPT3 authors8Show
236.Compiling Python from scratch with Github Codespaces8
237.Rust AWS step functions8
238.Continuous Integration C# and Github Actions and Codespace8
239.Practical MLOPS Chap2 MLOps Foundations8
240.Pair Programming a Rust Chatbot using ChatGPT 4 and GitHub Copilot8
241.52 Weeks of AWS Episode 9:AWS Cookbook8
242.52 Weeks of AWS: O'Reilly AWS Cookbook Authors Interview8
243.AWS Aurora serverless demo7
244.Learn to launch AWS Deep Learning Spot Instances using AWS Cloud97
245.Datascience and Intermittent Fasting7
246.Security Characteristics and Benefits of Microservices7
247.52 Weeks of AWS Live Stream: Episode 57Show
248.Unfiring yourself in a tech job7
249.Arvs Lat: Author of Author of Machine Learning Engineering on AWS, Enterprise MLOps Interviews7
250.Build CLI with docker click codespaces and Github7
251.Live Stream: The Rise of Linux Desktop for Professionals10
252.Launch AWS Spot Instances with Python.7
253.Call Python Rust7
254.Introduction to Azure Cloud Shell7
255.Data Engineering with AWS Step Functions for the Impatient7
256.ETL sqlite10
257.Exploring Hugging Face Starcoder in Rust on custom AWS GPU hardware7
258.Live Coding AWS CodeWhisperer for AWS7
259.Interview with the O'Reilly Authors of AWS Cookbook7
260.Setup Docker and push in AWS Cloud97
261.Part1: AWS python computer vision from zero rekognition aws cloud shell7
262.52 Weeks AWS: Episode 25-AWS ML Certification: Wk2-Introduction to ML7Show
263.Build an end-to-end NLP command-line tool with Python7Let's Play
264.Optimization and Greedy Algorithms in One Hour7
265.DevOps Theory Key Concepts7
266.🀝 Build Production CLIs with Rust πŸ’ͺ and Python 🐍7
267.52 Weeks of AWS Episode 5: Cloud Practitioner Part3 + Network and Content Delivery, Compute/Storage7Show
268.data-proc7
269.4 2 what are vector db7
270.Data Science Projects7
271.MLOPs Projects with Rust7
272.Enterprise MLOps Interview Brian Ray-10 Steps to MLOps7
273.Configuring and Customizing GitHub CodeSpace: One Hour Deep Dive Alfredo Deza7
274.4 1 picking database9
275.Training Ludwig Declarative Deep Learning models using Mac Studio M1ultra7
276.52-Weeks-Live-Coding-MLOps-Episode-107
277.How do I setup Github Actions?7
278.Rust Polars Criterion Benchmarking7
279.52-Weeks-Live-Coding-MLOps-Episode-9 Diving into Ludwig7
280.Brief intro into what is IAC7
281.Introduction to AWS Lambda with Python and SAM7
282.What is ci7
283.Assimilate AWS by Coding7
284.Effective Technical Teamwork7
285.Heavy vs Light MLOPs7
286.Helping humans at scale: Continuous Delivery of Hugo on AWS6Let's Play
287.Live Coding OpenAI with O'Reilly Author Shubham Saboo6
288.End To End Mlops Hugging Face Application6
289.52 Weeks of Cloud: GPT-3 Book Interview6
290.Understand data visualization on AWS6
291.Build Docker container scratch6
292.Setup #rust and explain difference from #python6
293.AWS Glue + Athena6
294.52 Weeks AWS6
295.How to do technical project management with spreadsheet6Guide
296.Solopreneurship: Do You Even Have a Choice in America?6
297.Maxime DAVID Live Stream on Rust6
298.Key Skills Software Craftsmanship-10 Lessons6
299.AWS Resources available to students and teachers6
300.LiveStream MLOps Talk6