AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. Access to accelerated instances (GPUs) for hosting the LLMs.

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Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1. Programming: Learn Python, as its the most widely used language in AI/ML. Problem-Solving and Critical Thinking 2.

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AWS Machine Learning Blog

MARCH 18, 2025

With this launch, you can now deploy NVIDIAs optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS. As part of NVIDIA AI Enterprise available in AWS Marketplace , NIM is a set of user-friendly microservices designed to streamline and accelerate the deployment of generative AI.

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AWS Machine Learning Blog

DECEMBER 18, 2024

Training an LLM is a compute-intensive and complex process, which is why Fastweb, as a first step in their AI journey, used AWS generative AI and machine learning (ML) services such as Amazon SageMaker HyperPod. The team opted for fine-tuning on AWS.

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AWS Machine Learning Blog

APRIL 1, 2025

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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AWS Machine Learning Blog

JULY 7, 2025

With this launch, you can deploy the Qwen3 models—available in 0.6B, 4B, 8B, and 32B parameter sizes—to build, experiment, and responsibly scale your generative AI applications on AWS. Under AWS Services , select Amazon SageMaker. Make sure at least one of these instance types is available in your target AWS Region.

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AWS Machine Learning Blog

MARCH 19, 2025

At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel, and Outlook, as the backbone of their daily workflows. Using AWS, organizations can host and serve Office Add-ins for users worldwide with minimal infrastructure overhead.

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Flipboard

JUNE 16, 2025

Python: The demand for Python remains high due to its versatility and extensive use in web development, data science, automation, and AI. Python, the language that became the most used language in 2024, is the top choice for job seekers who want to pursue any career in AI. Learning the core language, however, is just not enough.

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Pickl AI

APRIL 1, 2025

Summary: This cloud computing roadmap guides you through the essential steps to becoming a Cloud Engineer. Learn about key skills, certifications, cloud platforms, and industry demands. Thats cloud computing! The demand for cloud experts is skyrocketing! Start your journey today! And guess what?

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ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in computer science from the University of California, Berkeley; and Bachelors and Masters degrees fromMIT. Holding a Ph.D.

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Analytics Vidhya

DECEMBER 5, 2022

Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. LLMs are large deep learning models that are pre-trained on vast amounts of data.

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Analytics Vidhya

SEPTEMBER 16, 2022

Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].

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Analytics Vidhya

FEBRUARY 1, 2024

Introduction In cloud computing, we face different services designed for specific purposes. AWS (Amazon Web Services) is a formidable force in this landscape. Once you navigate the complexities, two services, AWS Elastic Beanstalk and AWS Lambda, often become vital concerns.

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Hacker News

JULY 1, 2025

Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. On the backend we're using 100% Go with AWS primitives. Our stack is mostly: Rust, TypeScript, Python, NixOS.

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Analytics Vidhya

AUGUST 25, 2022

AWS Lambda is a service that allows developers to run code without having to set up and manage such servers and hence is often classified under the […]. The post A primer on AWS Lambda Function appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 23, 2022

Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. With this one tool, it can handle multiple AWS services from the […]. The post Creating and Managing DynamoDB Tables using AWS CLI appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 4, 2022

It is a Lucene-based search engine developed in Java but supports clients in various languages ​​such as Python, C#, Ruby, and PHP. The post Basic Concept and Backend of AWS Elasticsearch appeared first on Analytics Vidhya. It takes unstructured data from multiple sources as input and stores it […].

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Analytics Vidhya

JANUARY 1, 2023

convenient Introduction AWS Lambda is a serverless computing service that lets you run code in response to events while having the underlying compute resources managed for you automatically. The post AWS Lambda: A Convenient Way to Send Emails and Analyze Logs appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 1, 2023

The post Introduction to Amazon API Gateway using AWS Lambda appeared first on Analytics Vidhya. If you want to make noodles, you just take the ingredients out of the cupboard, fire up the stove, and make it yourself. This […].

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Analytics Vidhya

APRIL 23, 2024

This article explores the intricacies of automating ETL pipelines using Apache Airflow on AWS EC2. It […] The post Streamlining Data Workflow with Apache Airflow on AWS EC2 appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 28, 2022

The post Automate Model Deployment with GitHub Actions and AWS appeared first on Analytics Vidhya. First, you build software, test it for possible faults, and finally deploy it for the end user’s accessibility. The same can be applied to […].

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Analytics Vidhya

DECEMBER 26, 2022

The post Crafting Serverless ETL Pipeline Using AWS Glue and PySpark appeared first on Analytics Vidhya. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems. Traditionally, ETL processes are […].

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AWS Machine Learning Blog

MAY 3, 2023

AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0 times the speed for BERT, making Graviton-based instances the fastest compute optimized instances on AWS for these models. is up to 3.5

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Data Science Blog

SEPTEMBER 19, 2023

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. using for loops in Python). Infrastructure as Code (IaC) can be a game-changer in this scenario.

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Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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AWS Machine Learning Blog

MAY 8, 2023

In a previous post , we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure. The changes to the MLflow Python SDK are available for everyone since MLflow version 1.30.0.

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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?

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Data Science Connect

JANUARY 27, 2023

Learn a programming language: Data engineers often use programming languages like Python or Java to write scripts and programs that automate data processing tasks. It is important to learn a language that is most commonly used in the industry and one that is best suited to your project needs.

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AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. Therefore, AWS can help lower the workload carbon footprint up to 96%.

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AWS Machine Learning Blog

MAY 7, 2024

Solution overview The entire infrastructure of the solution is provisioned using the AWS Cloud Development Kit (AWS CDK), which is an infrastructure as code (IaC) framework to programmatically define and deploy AWS resources. AWS CDK version 2.0 AWS CDK version 2.0

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AWS Machine Learning Blog

OCTOBER 21, 2024

However, customers who want to deploy LLMs in their own self-managed workflows for greater control and flexibility of underlying resources can use these LLMs optimized on top of AWS Inferentia2-powered Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances. Main components The following are the main components of the solution.

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Pickl AI

SEPTEMBER 16, 2024

Summary: AWS Lambda enables serverless computing, letting developers run code without managing servers. It offers benefits like automatic scaling and pay-as-you-go pricing, and integration with AWS services enhances its functionality. This article aims to explore AWS Lambda by exploring its functions and how to code with it.

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Pickl AI

JULY 11, 2024

Summary: Platform as a Service (PaaS) offers a cloud development environment with tools, frameworks, and resources to streamline application creation. Introduction The cloud computing landscape has revolutionized the way businesses approach IT infrastructure and application development.

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AWS Machine Learning Blog

DECEMBER 13, 2023

The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit , AWS CodePipeline , and AWS CodeBuild. An AWS account.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

LangChain is a Python library designed to build applications with LLMs. Prerequisites To implement this solution, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic familiarity with SageMaker and AWS services that support LLMs. Python 3.10

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