AWS Machine Learning Blog

NOVEMBER 7, 2024

Python 3.9 He has over 6 years of experience in helping customers architecting a DevOps strategy for their cloud workloads. He designs and implements solutions that optimize DevOps workflows, automate cloud operations, and improve infrastructure management for customers. or later Node.js

DevOps 126

DevOps Generative AI Python Automation 126

Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

Marktechpost

DECEMBER 18, 2024

Kite Kite is an AI-driven coding assistant specifically designed to accelerate development in Python and JavaScript. However, its main limitation is the restricted language support, as it currently focuses on Python and JavaScript, which makes it less versatile compared to other tools that support a broader range of languages.

Software Development 103

Software Development AI Tools DevOps Machine Learning 103

IBM Journey to AI blog

OCTOBER 17, 2023

This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. Instana Observability outperforms traditional application performance monitoring (APM) tools with one-second granularity and notifications delivered within three seconds.

DevOps 231

DevOps Auto-complete Automation Python 231

Pickl AI

JANUARY 30, 2023

Hence for an individual who wants to excel as a data scientist, learning Python is a must. The role of Python is not just limited to Data Science. In fact, Python finds multiple applications. Hence making a career in Python can open up several new opportunities. Why should one learn Python?

Python 97

Python DevOps Machine Learning Data Science 97

O'Reilly Media

FEBRUARY 25, 2025

In this post I want to talk about using generative AI to extend one of my academic software projectsthe Python Tutor tool for learning programmingwith an AI chat tutor. Python Tutor is mainly used by students to understand and debug their homework assignment code step-by-step by seeing its call stack and data structures.

Generative AI 84

Generative AI Python LLM AI 84

Flipboard

FEBRUARY 10, 2025

Prerequisites To follow along with the code examples in the rest of this post, make sure the following prerequisites are met: Integrated development environment This includes the following: (Optional) Access to Amazon SageMaker Studio and the JupyterLab IDE We will use a Python runtime environment to build agentic workflows and deploy LLMs.

LLM 161

LLM AI AI Python 161

Marktechpost

APRIL 22, 2024

Most companies create their own DevOps automation by combining Terraform, Pulumi, in-house scripts, and variables set in the environment. LaunchFlow is a developer tool that simplifies the infrastructure deployment process when it comes to delivering Python applications to cloud platforms.

DevOps 111

DevOps Python Automation AI Developer 111

IBM Journey to AI blog

JUNE 20, 2023

Efficiently modify existing COBOL, PL/I, Java or Assembler programs, but also take advantage of new programming languages, including Python, Node.js Seamlessly integrate with standard (Git) enterprise-wide CI/CD toolchains or with DevOps platforms of our partners.

DevOps 232

DevOps Python Automation Artificial Intelligence 232

IBM Journey to AI blog

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. Logs can be created around specific aspects of a component that DevOps teams want to monitor. What is OpenTelemetry?

DevOps 243

DevOps Software Development Automation Metadata 243

IBM Journey to AI blog

AUGUST 11, 2023

The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. Using AutoML or AutoAI, opensource libraries such as scikit-learn and hyperopt, or hand coding in Python, ML engineers create and train the ML models.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Flipboard

MARCH 7, 2023

This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. You can manage app images via the SageMaker console, the AWS SDK for Python (Boto3), and the AWS Command Line Interface (AWS CLI). Define a Dockerfile.

Python 123

Python Data Science Data Scientist ML 123

AWS Machine Learning Blog

NOVEMBER 26, 2024

In addition, we demonstrate how to implement two different use cases of SageMaker Studio lifecycle configurations: 1) automatic installation of python packages and 2) automatic shutdown of idle kernels. We use Python as the main language for our AWS CDK application, but the code can be easily translated to other AWS CDK supported languages.

Data Scientist 85

Data Scientist Python ML Automation 85

Pickl AI

APRIL 1, 2025

Collaborating with DevOps Teams and Software Developers Cloud Engineers work closely with developers to create, test, and improve applications. Python is one of the most widely used languages in cloud computing due to its simplicity and extensive libraries. Understanding DevOps concepts will give you an edge in the field.

DevOps 52

DevOps Data Science Automation Big Data 52

AWS Machine Learning Blog

SEPTEMBER 4, 2024

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. They often work with DevOps engineers to operate those pipelines. curl for transmitting data with URLs.

DevOps 101

DevOps ML Engineer ML Metadata 101

Marktechpost

JUNE 25, 2024

Develop GenAI Apps with Gemini and Streamlit This course helps you earn the Develop GenAI Apps with Gemini and Streamlit badge by teaching text generation, function calls with Python SDK and Gemini API, and deploying a Streamlit app with Cloud Run.

DevOps 107

DevOps Data Analysis Large Language Models Generative AI 107

AWS Machine Learning Blog

AUGUST 22, 2024

In this post, we show you how to convert Python code that fine-tunes a generative AI model in Amazon Bedrock from local files to a reusable workflow using Amazon SageMaker Pipelines decorators. The SageMaker Pipelines decorator feature helps convert local ML code written as a Python program into one or more pipeline steps.

Generative AI 121

Generative AI Metadata Python ML 121

AWS Machine Learning Blog

MAY 7, 2024

The AWS partnership with Hugging Face allows a seamless integration through SageMaker with a set of Deep Learning Containers (DLCs) for training and inference, and Hugging Face estimators and predictors for the SageMaker Python SDK. Mateusz Zaremba is a DevOps Architect at AWS Professional Services. AWS CDK version 2.0

Automation 128

Automation Auto-complete DevOps UX Design 128

Flipboard

NOVEMBER 24, 2023

It is powered by Amazon SageMaker Studio and provides JupyterLab for Python and Posit Workbench for R. Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group.

ML 153

ML DevOps Data Scientist ML Engineer 153

AWS Machine Learning Blog

AUGUST 26, 2024

DevOps From a DevOps perspective, the frontend uses Amplify to build and deploy, and the backend is uses AWS Serverless Application Model (AWS SAM) to build, package, and deploy the serverless applications. env_setup.cmd Prepare the sign video annotation file for each processing run: python prep_metadata.py

Generative AI 119

Generative AI DevOps AI AI 119

AWS Machine Learning Blog

JUNE 4, 2024

The workflow includes the following steps: The user runs the terraform apply The Terraform local-exec provisioner is used to run a Python script that downloads the public dataset DialogSum from the Hugging Face Hub. Configure your local Python virtual environment. python v3.8 Upload the converted dataset to Amazon S3.

Python 131

Python DevOps Automation Artificial Intelligence 131

AWS Machine Learning Blog

OCTOBER 28, 2024

Create a SageMaker Model Monitor schedule Next, you use the Amazon SageMaker Python SDK to create a model monitoring schedule. He is a technology enthusiast and a builder with a core area of interest in AI/ML, data analytics, serverless, and DevOps. docker/Dockerfile --repository sm-mm-mqm-byoc:1.0 Raju Patil is a Sr.

ML 104

ML Metadata Data Scientist DevOps 104

AWS Machine Learning Blog

OCTOBER 16, 2023

Furthermore, DevOps were burdened with manually provisioning GPU instances in response to demand patterns. Additional dependencies needed to run the Python models are detailed in a requirements.txt file, and need to be conda-packed to build a Conda environment ( python_env.tar.gz). file contains preprocessing and postprocessing code.

Data Scientist 107

Data Scientist Computer Vision DevOps ML 107

AWS Machine Learning Blog

MAY 31, 2024

You can discover and deploy the Falcon 2 11B model with a few clicks in Amazon SageMaker Studio or programmatically through the SageMaker Python SDK, enabling you to derive model performance and MLOps controls with SageMaker features such as Amazon SageMaker Pipelines , Amazon SageMaker Debugger , or container logs.

Python 118

Python Machine Learning Auto-classification ML 118

Unite.AI

JANUARY 25, 2024

Application security topics rose by 42%, and DevSecOps – which integrates security practices within the DevOps process – experienced a 30% growth in usage. Python, known for its simplicity and efficiency, remains a top choice in fields such as data science, AI, and web development.

Prompt Engineer 182

Prompt Engineer Prompt Engineering NLP Generative AI 182

Unite.AI

JANUARY 15, 2024

The Code Generator supports over 30 languages, from JavaScript to Python, Swift to Ruby, and everything in between. DevOps The DevOps tools CodePal simplify code deployment and streamline coding tasks. ChatGPT can write code for you for free in many coding languages, such as JavaScript, Python, C++, and more.

Explainability 147

Explainability DevOps AI AI 147

AWS Machine Learning Blog

NOVEMBER 19, 2024

These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Explore how this powerful tool streamlines the entire ML lifecycle, from data preparation to model deployment.

ML 92

ML Generative AI AI AI 92

AWS Machine Learning Blog

DECEMBER 19, 2023

Machine learning operations (MLOps) applies DevOps principles to ML systems. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations. PwC MLOps Accelerator is designed to be agnostic to ML models, ML frameworks, and runtime environments.

Machine Learning 128

Machine Learning ML Engineer DevOps ML 128

AWS Machine Learning Blog

JULY 8, 2024

Dependencies The solution has the following dependencies: Amazon SageMaker SDK – The Amazon SageMaker Python SDK is an open source library for training and deploying ML models on SageMaker. Boto3 SDK – The AWS SDK for Python (Boto3) provides a Python API for AWS infrastructure services.

Data Scientist 114

Data Scientist ML Engineer Machine Learning Data Science 114

Unite.AI

JUNE 24, 2024

It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. BentoML : BentoML is a Python-first tool for deploying and maintaining machine learning models in production. What is MLOps?

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

AWS Machine Learning Blog

JUNE 27, 2023

That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. They needed a cloud platform and a strategic partner with proven expertise in delivering production-ready AI/ML solutions, to quickly bring EarthSnap to the market.

DevOps 115

DevOps ML Machine Learning ML Engineer 115

Mlearning.ai

APRIL 24, 2023

The Coursera class is direct to the point and gives concrete instructions about how to use the Azure Portal interface, Databricks, and the Python SDK; if you know nothing about Azure and need to use the service platform right away I highly recommend this course. Be sure to create an Environment for the ML workspace.

DevOps 52

DevOps ETL Python Machine Learning 52

AWS Machine Learning Blog

OCTOBER 22, 2024

To do this, you will use an Execute code step type that allows you to run the Python code that performs model evaluation using the factual knowledge evaluation from the fmeval library. In this example, you will use a Python function. Download the complete Python file , including the function and all imported libraries.

Automation 84

Automation LLM DevOps Python 84

AWS Machine Learning Blog

OCTOBER 2, 2023

In our example, we’ve developed a Python-based private component to handle the following tasks: Install the required runtime components like the Ultralytics YOLOv8 Python package. With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life.

DevOps 114

DevOps Automation ML Machine Learning 114

AWS Machine Learning Blog

MARCH 18, 2025

Eliuth Triana Isaza is a Developer Relations Manager at NVIDIA, empowering Amazons AI MLOps, DevOps, scientists, and AWS technical experts to master the NVIDIA computing stack for accelerating and optimizing generative AI foundation models spanning from data curation, GPU training, model inference, and production deployment on AWS GPU instances.

Generative AI 92

Generative AI DevOps AI Modeling AI 92

AWS Machine Learning Blog

JUNE 21, 2023

This enables you to apply DevOps best practices and meet safety, compliance, and configuration standards across all AWS accounts and Regions. For this post, we use Python as the main language, but the code can be easily changed to other AWS CDK supported languages. For more information, refer to Working with the AWS CDK.

Python 98

Python Data Scientist ML DevOps 98

AWS Machine Learning Blog

OCTOBER 2, 2023

For instance, data labeling and training has a strong data science focus, edge deployment requires an Internet of Things (IoT) specialist, and automating the whole process is usually done by someone with a DevOps skill set. So if you have a DevOps challenge or want to go for a run: let him know.

DevOps 115

DevOps Automation ML Computer Vision 115