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 200 Most Viewed Videos by Pragmatic AI Labs


Video TitleViewsCategoryGame
101.Rust for MLOps with Amazon Sagemaker879
102.Continuous Delivery of GCP Google App Engine875
103.Bash Essentials for Cloud871
104.Six Key elements MLOps862
105.Building Cloud ETL Pipelines854
106.Serverless Data Engineering Architecture854
107.Setup AWS Elastic Beanstalk for Flask853
108.Brief introduction to cloud economics853
109.Build Real-World Python Microservices with Continuous Delivery From Zero800
110.Broken Economic Models in Tech That Hurt Humans at Scale795
111.Use magic functions in Google Colab.780
112.#PyTorch #stablediffusion #rust #gpu demo using #github #codespaces771
113.Chap7 walkthrough MLOps cookbook O'Reilly book Practical MLOps768Walkthrough
114.Github actions vs AWS Codebuild767
115.Learn optimization with greedy algorithms751
116.Learn to launch AWS Deep Learning Spot Instances using AWS Cloud9748
117.52 Weeks of AWS Live Stream: Episode 6-Final AWS CP Certification Walkthrough743Walkthrough
118.Cloud Databases and Storage738
119.⚡ Lightning Fast Data Analysis in Rust with Polars733
120.MLOps with Hugging Face Spaces, Gradio and Github Actions733
121.Welcome to the Pragmatic AI Labs Channel719
122.Pair Programming a Rust Chatbot using ChatGPT 4 and GitHub Copilot718
123.Learn how to pass any AWS exam714Guide
124.data-proc692
125.Cutting Edge MLOps using Github Codespaces Hugging Face OpenAI and Copilot AI to Write AI691
126.AutoML KaizenML691
127.Getting started .NET Github CodeSpaces671
128.Introduction to #actix #rust #containerized #microservice on #aws #apprunner655
129.Introduction to mlrun652
130.Quick Demo: GitHub Copilot CLI644
131.Data Science Projects With Rust617
132.Python Functions Master Class 2023617
133.Python Functions Simple to Complex616
134.Cloud-Native Pytest Tips and Tricks from Ground Zero614
135.Learn to use a CUDA GPU to dramatically speed up code in Python.614
136.What is Google Colab Notebooks and How do you share them for Data Science projects?600
137.Learn to deploy a AWS ECS Fargate application for a .NET Blazor App.598
138.Building logistics projects with GitHub ecosystem and Github Copilot593Vlog
139.Free 4 Hour Live Bootcamp: Rust for Pythonistas592Rust
140.52 weeks MLOps episode 4 hugging face589Show
141.MLOps with AWS app runner584
142.52 Weeks of AWS Episode 9:AWS Cookbook581
143.🤝 Integrate Rust and Python for Powerful Programs576
144.Python continuous integration for the commmand line574
145.Ruthless web scraping for data science565
146.AWS Glue + Athena559
147.What is ci559
148.A Tale of Three Websites on AWS550
149.52-weeks-rust: ep-1535
150.Visual studio Code for AWS on an M1 Mac in Parallels529
151.Learn to Containerize Algorithms Deploy to AWS with App Runner522
152.The Rise of Linux Desktop for Professionals520
153.Benefits of DevOps517
154.Build out a Flask ML prediction on AWS Cloud9516
155.Building Computer Vision APIs with AWS Lambda515
156.Systems programming rust vs python for #mlops511
157.PyTorch FastAPI Deploy to AWS App Runner511
158.52 Weeks of AWS: Episode 3: AWS Cloud Practitioner Part 1511Show
159.Advanced Testing Techniques in Python510
160.Launch AWS Spot Instances with Python.504
161.Assimilate-Rust: Build an AWS Lambda Function and deploy in Rust498
162.Setup #rust and explain difference from #python472
163.Build Docker container scratch462
164.How to profile data with Azure ML Studio458
165.Doing MLOps Live Talk and demo457
166.52 weeks Live Coding MLOPs: Episode 2: Serving TensorFlow Models453Show
167.The three V's of Big Data452
168.Docker flask and locust450
169.MLOps for Edge AutoML with Google AutoML Vision444
170.Five Year Shortcut to Programming: The Essence of Programming is Functions435
171.A walkthrough of Azure ML Studio Designer428Walkthrough
172.Integrating Rust and Python with a Shared Library427
173.Quickstart Python Fire Command Line Interface (CLI)425
174.Getting Started with Data Pipelines424
175.Provisioning EC2 Instances with AWS Console and AWS Cloud Shell417
176.Teaching MLOps at Scale with GitHub416
177.Deploying and Testing AWS Lambda413
178.Rust for Pythonista-3hr-Jam-Session411
179.🤝 Mix Python and Rust for Production CLIs411
180.Python Functions: Inputs, Unit of Work, Return410
181.The Power of Functions in Python401
182.AWS Resources available to students and teachers400
183.Data Science your first day395
184.Live Stream: The Rise of Linux Desktop for Professionals394
185.52 Weeks Live Coding MLOps Episode 1392Show
186.Multi-Cloud DevOps Onboard Lecture390
187.Assimilate-Python-For-Rust388Rust
188.MLOps Projects377
189.Setup Azure Cloud Shell with Github370
190.Using Azure AutoML SDK from a Jupyter Notebook366
191.Data Science for Infrastructure362
192.How to create effective technical demo videos359Guide
193.Using PowerShell to script EC2 with AWS CloudShell359
194.MLOPs chronicles 11 2021358
195.AWS Certified Cloud Practitioner Video Course 1 7 techniques practice358
196.Sagemaker from Zero County Cluster Demo356
197.Using VS Code, Copilot and Codespaces to Level Up to Rust from Python353Rust
198.Optimization and Greedy Algorithms in One Hour351
199.MLOPs Projects with Rust349
200.🤖 Automate Data Pipelines with Step Functions-AWS Data Engineering-Part 10345