Igvir Ramirezpwd.hashnode.dev·Feb 13, 2025AWS Certified AI Practitioner Exam PreparationThe AWS Certified AI Practitioner exam is designed to validate knowledge in AI, machine learning (ML), and generative AI concepts and use cases. It is a foundational certification, similar in level to the Cloud Practitioner certification, it is not t...AWS
Igvir Ramirezpwd.hashnode.dev·Feb 7, 2025AWS Integrates DeepSeek-R1 for Cost-Effective Generative SolutionsAmazon Web Services (AWS) has recently expanded its AI offerings by integrating DeepSeek's R1 models into its platform. This integration provides developers and data scientists access to advanced reasoning capabilities, enhancing the development of g...Deepseek
Anix Lynchgozeroshot.dev·Jan 24, 202522 Most Common AWS Combos for Your Cloud AI DeploymentAWS certification exams, especially the Machine Learning Specialty, often focus on recognizing common combinations of services in real-world scenarios. They love asking about how tools integrate, so spotting patterns in these combinations is key to s...AWSAWS
Amit Sidesamitsides.hashnode.dev·Jan 18, 2025A Complete Guide for Building ML Pipeline with Athena, SQS, EKS, Keda & SageMaker[ Included: the architecture, YAMLs, and Python Code for the 2 microservices (Athena→SQS & SQS→SageMaker) to make this pipeline work. ] Secured Data Pipeline: Secure your (Athena, SQS) Credentials in Vault/Secret Manager for the Pods to Query Them P...1 likeEKS
Pranjal Chaubeypranjal28.hashnode.dev·Nov 26, 2024Data Wrangling with AWS SageMaker: Simplifying Data Preprocessing for Machine LearningData wrangling, or data preprocessing, is one of the most critical steps in the machine learning (ML) pipeline. It involves cleaning, transforming, and preparing raw data into a format suitable for training models. AWS SageMaker, a fully managed serv...mlops
Wojciech Kaczmarczykaws-notes.hashnode.dev·Nov 22, 2024Accelerate AI Workloads with Amazon EC2 Trn1 Instances and AWS Neuron SDKIntroduction As machine learning models grow in complexity, the need for cost-effective and high-performance infrastructure becomes crucial. Amazon EC2 Trn1 Instances, powered by AWS-designed Trainium chips, and the AWS Neuron SDK offer a powerful co...AWS
Anshul Gargmymlopsjourney.hashnode.dev·Nov 21, 2024Build Scalable Machine Learning Training Pipelines with Amazon SageMakerIntroduction Machine learning workflows often involve repetitive steps like preprocessing, training, and evaluation. Amazon SageMaker Pipelines simplifies this process by orchestrating these steps into automated, reproducible pipelines. In this guide...Machine Learning
Anix Lynchgozeroshot.dev·Nov 20, 2024AWS Machine Learning Tool StackAWS Core Services (General Knowledge) Amazon S3: Storage for data, models, and datasets. Amazon EC2: Compute services for running ML workloads. AWS Lambda: Serverless execution for lightweight ML tasks. AWS CloudFormation: Infrastructure as code ...AWS
Wojciech Kaczmarczykaws-notes.hashnode.dev·Nov 19, 2024Why Generative AI Projects Struggle to Reach ProductionIntroduction The rapid advancements in Generative AI (GenAI) have captured the imagination of organizations worldwide. Yet, many Proof-of-Concept (PoC) initiatives fail to transition into production. Based on surveys with AWS GenAI partners, six crit...1 like·29 readsAWS
Anshul Gargmymlopsjourney.hashnode.dev·Nov 14, 2024Automatic Model Tuning with Amazon SageMakerIn this article, we will explore how to perform automatic model tuning using Amazon SageMaker. This process helps optimize the performance of machine learning models by adjusting their hyperparameters. If you haven't already, please check out my prev...mlops
