#SageMaker

Kubernetes

@kubernetes.activitypub.awakari.com.ap.brid.gy

1 day ago

Unlock efficient model deployment: Simplified Inference Operator setup on Amazon SageMaker HyperPod In this post, we walk through the new installation experience, demonstrate three deployment metho...

#Amazon #SageMaker #Amazon #SageMaker #AI #Amazon […]

[Original post on aws.amazon.com]

Notum Robotics

@n-r.hr

1 day ago

Serverless SageMaker custom models trim tool‑calling overhead, but the pay‑as‑you‑go pricing could surprise heavy‑use pipelines. 🤖 #sagemaker

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI

deepseek

@deepseek.activitypub.awakari.com.ap.brid.gy

1 day ago

Accelerate agentic tool calling with serverless model customization in Amazon SageMaker AI In this post, we walk through how we fine-tuned Qwen 2.5 7B Instruct for tool calling using RLVR. We cover...

#Advanced #(300) #Amazon #SageMaker #AI #Artificial […]

[Original post on aws.amazon.com]

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

3 days ago

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026 Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to the right place. Artificial intelligence and machine learning (ML) are transforming industries, and AWS SageMaker is one of the most powerful tools for building, training, and deploying ML models at scale. Whether you’re a data scientist, ML engineer, or cloud practitioner, learning AWS SageMaker can give you a competitive edge in the AI-driven job market. In the past, I have shared the best AI courses, best AWS Bedrock courses, best ChatGPT courses, and best courses to learn deep learning, and today, I am going to share the best online courses to learn AI. AWS SageMaker integrates with other AWS services, provides built-in algorithms, and supports popular ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. If you want to master SageMaker in 2026, enrolling in the right Udemy course can accelerate your learning. In this article, I’ll share the 5 best Udemy courses to learn AWS SageMaker, covering hands-on projects, real-world ML applications, and AWS certification preparation. By the way, if you are new in the area of Machine Learning and AI, then I also recommend you to first go through this classic course, Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2026] on Udemy. It’s perfect for learning many things related to ML and AI. ## 5 Best AWS SageMaker Courses on Udemy for Beginners and Experts Without any further ado, here are the top 5 online courses you can join on Udemy to become an AWS SageMaker in 2026 ### 1. AWS SageMaker Practical for Beginners | Build 6 Projects 📌 Students Enrolled: 16,443 students ⭐ Rating: 4.7/5 🎯 Best For: Beginners & Intermediate ML Practitioners This is one of the most comprehensive courses on AWS SageMaker, teaching you how to build, train, and deploy ML models using real-world datasets. The course covers SageMaker Studio, AutoML, built-in algorithms, and model deployment. Here are the projects you will build in this course: * A deep learning-based model to perform image classification. * A Time series forecasting models to predict future product prices using DeepAR. * Develop and deploy a sentiment analysis model using SageMaker. * Deploy trained NLP model and interact/make predictions using secure API. * Train and evaluate the Object Detection model using SageMaker built-in algorithms. What You Will Learn: ✅ Train ML models using built-in AWS SageMaker algorithms ✅ Use SageMaker Studio, Jupyter Notebooks, and AutoML ✅ Deploy models to SageMaker endpoints for real-time inference ✅ Integrate AWS Lambda, API Gateway, and SageMaker Why Take This Course? ✔️ Covers both beginner and intermediate-level topics ✔️ Hands-on projects with real-world datasets ✔️ Step-by-step deployment of ML models on AWS Here is the link to join this course: AWS SageMaker Practical for Beginners | Build 6 Projects ### 2. AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On 📌 Students Enrolled: 15,000+ ⭐ Rating: 4.6/5 🎯 Best For: AWS Certification & ML Professionals If you’re preparing for the AWS Certified Machine Learning Specialty (MLS-C01) exam, this course is a must. It covers AWS SageMaker extensively and teaches ML best practices on AWS. What You Will Learn:\ ✅ End-to-end ML workflow using AWS SageMaker\ ✅ Feature engineering and model tuning in SageMaker\ ✅ Deploying deep learning models with TensorFlow & PyTorch\ ✅ Preparing for the AWS Machine Learning Specialty certification Why Take This Course?\ ✔️ Designed specifically for AWS MLS-C01 exam preparation\ ✔️ Practical hands-on projects covering AWS SageMaker\ ✔️ Teaches advanced ML model tuning and deployment strategies Here is the link to join this course: AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On ### 3. Amazon SageMaker by Jose Portilla 📌 Students Enrolled: 3,000+\ ⭐ Rating: 4.7/5\ 🎯 Best For: Hands-on ML with AWS SageMaker This course is ideal for developers and data scientists who want hands-on experience with AWS SageMaker. It walks you through end-to-end machine learning workflows and teaches you how to optimize models on AWS. What You Will Learn:\ ✅ Preprocessing and feature engineering in AWS SageMaker\ ✅ Train ML models using SageMaker built-in algorithms\ ✅ Hyperparameter tuning and model optimization\ ✅ Deploying ML models with real-time inference on AWS Why Take This Course? ✔️ Highly practical with real-world ML projects ✔️ Covers feature engineering and hyperparameter tuning ✔️ Focuses on building and deploying ML models efficiently Here is the link to join this course: Amazon SageMaker by Jose Portilla ### 4. AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT 📌 Students Enrolled: 10,000+ ⭐ Rating: 4.5/5 🎯 Best For: Data Scientists & ML Engineers This course is tailored for data scientists and ML engineers who want to integrate AWS SageMaker into their workflows. It focuses on using SageMaker for scalable machine learning projects. What You Will Learn: ✅ Using AWS SageMaker for large-scale ML projects ✅ Training deep learning models with SageMaker & PyTorch ✅ Automating ML workflows with SageMaker Pipelines ✅ Deploying scalable ML models on AWS infrastructure Why Take This Course?\ ✔️ Designed specifically for data scientists & ML engineers\ ✔️ Covers both classical ML and deep learning techniques\ ✔️ Focuses on large-scale ML projects and automation Here is the link to join this course — — AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT ### 5. Build an AWS Machine Learning Pipeline for Object Detection 📌 Students Enrolled: 8,000+ ⭐ Rating: 4.6/5 🎯 Best For: AI & Deep Learning with AWS SageMaker This course explores AI and deep learning applications using AWS SageMaker. It covers building and deploying ML models for real-world AI applications, including NLP and image classification. What You Will Learn: ✅ Training AI models with AWS SageMaker and TensorFlow ✅ Implementing NLP and computer vision models on AWS ✅ Deploying AI models with real-time and batch inference Why Take This Course? Best for AI-focused learners and deep learning enthusiasts ✔️ Includes hands-on projects with NLP and image classification Here is the link to join this course: Build an AWS Machine Learning Pipeline for Object Detection ### Final Thoughts: Start Learning AWS SageMaker Today! AWS SageMaker is an essential skill for ML engineers, data scientists, and cloud professionals in 2026. Whether you’re looking to train ML models, deploy AI applications, or prepare for AWS certifications, these Udemy courses provide hands-on experience with real-world projects. If you want to accelerate your machine learning career on AWS, enroll in one of these top-rated AWS SageMaker courses and start building scalable AI models today! _👉_ _Which course is right for you?_ _🔹_ _For Beginners:____AWS SageMaker Practical for Beginners | Build 6 Projects_ _🔹_ _For AWS Certification:__A_ _AWS Certified Machine Learning Specialty (MLS-C01) — — Hands-On_ _🔹_ _For Hands-on ML:____Build an AWS Machine Learning Pipeline for Object Detection_ Other AI and Machine Learning articles you may like * 10 Best Coursera courses to learn Python * 10 Best Udacity Courses for Python Developers * 10 Books and Courses to Learn Data Science in 2026 * Top 10 TensorFlow Courses for Data Scientists * Is Google’s CyberSecurity Certification worth it? * Top 5 Free Courses to Learn Machine Learning * Is Google’s Advanced Data Analytics Certification worth it? * Top 5 Courses to Learn Advanced Data Science * Is Google’s IT Automation with Python certification worth it? * 5 Courses to Learn Maths and Stats for Data Science * Top 5 Courses to Learn Tableau for Data Science * 5 Books to Learn Python for Data Science * Top 5 Courses to Learn Pandas for Data Analysis Start learning today and become an AWS SageMaker expert in 2026! All the best with your learning !! Thanks for reading this article so far. If you like these AWS Sagemaker Udemy courses, then please share it with your friends and colleagues. If you have any questions or feedback, please drop a note. > P. S. — — By the way, if you want to join multiple course on Udemy, its better to get a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

I Tried 20+ AWS SageMaker Courses: Here Are My Top 5 Recommendations for 2026 Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you have come to...

#Amazon #Web #Service #or #AWS #courses #SageMaker #Udemy

Origin | Interest | Match

PostgreSQL

@postgresql.activitypub.awakari.com.ap.brid.gy

1 week ago

AWS Weekly Roundup: AWS AI/ML Scholars program, Agent Plugin for AWS Serverless, and more (March 30, 2026) Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars progra...

#Amazon #Aurora #Amazon #Polly #Amazon #SageMaker #Studio […]

[Original post on aws.amazon.com]

Solar-Flare

@solar-flare.activitypub.awakari.com.ap.brid.gy

1 week ago

Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data In this post, we show you how to use Amazon SageMaker AI to build and deploy a deep learning model for detecting...

#Aerospace #& #Satellite #Amazon #SageMaker #Amazon […]

[Original post on aws.amazon.com]

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

1 week ago

Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3 Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpo...

#Advanced #(300) #Amazon #SageMaker #Amazon #SageMaker […]

[Original post on aws.amazon.com]

roxsross

@roxsross.bsky.social

2 weeks ago

🚀 Lleva tus modelos Amazon Nova a producción con SageMaker

aws.amazon.com/blogs/aws/announcing-ama...

#AWS #AmazonNova #SageMaker #MachineLearning

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

2 weeks ago

Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova In this post, we’re excited to showcase how AWS ISV Partner Artificial Genius is u...

#Amazon #Nova #Amazon #SageMaker #AI #Customer #Solutions […]

[Original post on aws.amazon.com]

Kubernetes

@kubernetes.activitypub.awakari.com.ap.brid.gy

3 weeks ago

Introducing Disaggregated Inference on AWS powered by llm-d In this blog post, we introduce the concepts behind next-generation inference capabilities, including disaggregated serving, intelligent...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

[Original post on aws.amazon.com]

Kubernetes

@kubernetes.activitypub.awakari.com.ap.brid.gy

3 weeks ago

Introducing Disaggregated Inference on AWS powered by llm-d In this blog post, we introduce the concepts behind next-generation inference capabilities, including disaggregated serving, intelligent...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

[Original post on aws.amazon.com]

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

1 month ago

Build a serverless conversational AI agent using Claude with LangGraph and managed MLflow on Amazon SageMaker AI This post explores how to build an intelligent conversational agent using Amazon Bed...

#Amazon #Bedrock #Amazon #DynamoDB #Amazon #SageMaker #AI […]

[Original post on aws.amazon.com]

AWS Community Builder Blog Posts

@awscmblogposts.bsky.social

1 month ago

How I Passed the AWS Machine Learning Associate Exam: Real Questions, Real Lessons Notes from someone who's been through it — what actually shows up, and what you need to know. I...

✍️ New blog post by Jhon Robert Quintero Hurtado

How I Passed the AWS Machine Learning Associate Exam: Real Questions, Real Lessons

#ai #machinelearning #aws #sagemaker

JavaJobs

@javajobs.activitypub.awakari.com.ap.brid.gy

1 month ago

I Tested 20+ AWS SageMaker Courses on Udemy: Here Are My Top 5 Recommendations for 2026 Hello guys, if you want to learn about AWS SageMaker and are looking for the best online courses, then you ha...

#Amazon #Web #Service #or #AWS #artificial #intelligence #courses #SageMaker #Udemy

Origin | […]

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

1 month ago

Large model inference container – latest capabilities and performance enhancements | Amazon Web Services AWS recently released significant updates to the Large Model Inference (LMI) container, delivering comprehensive performance improvements, expanded model support, and streamlined deployment capabilities for customers hosting LLMs on AWS. These releases focus on reducing operational complexity while delivering measurable performance gains across popular model architectures.

Large model inference container – latest capabilities and performance enhancements AWS recently released significant updates to the Large Model Inference (LMI) container, delivering comprehensive...

#Advanced #(300) #Amazon #SageMaker #Artificial #Intelligence

Origin | Interest | Match

FunctionalProgramming

@functionalprogramming.activitypub.awakari.com.ap.brid.gy

1 month ago

Train CodeFu-7B with veRL and Ray on Amazon SageMaker Training jobs In this post, we demonstrate how to train CodeFu-7B, a specialized 7-billion parameter model for competitive programming, using G...

#Amazon #SageMaker #AI #Artificial #Intelligence […]

[Original post on aws.amazon.com]

ninjasre

@ninjasre.bsky.social

1 month ago

💰 Amazon launches SageMaker Inference for custom Nova models
• Custom models on SageMaker cut cost & speed up AI
• Supports instance types, scaling, concurrency settings
#AWS #SageMaker
aws.amazon.com/blogs/aws/announcing-ama...

Alon Shrestha

@alonshrestha.bsky.social

1 month ago

new enhancement:
sagemaker canvas now lets you train the model immediately after code generation in the same interface, making it a complete no code ml platform.

tldr:
data wrangler = code generator
canvas = code generator + model trainer + predictor

#aws #ai #sagemaker

Alon Shrestha

@alonshrestha.bsky.social

1 month ago

i explored amazon sagemaker ground truth.

a smart data labeling platform where you send unlabeled data and it labels it while reducing up to 70 percent cost.

#aws #sagemaker #ai

Berg Codex

@barronsdigital.bsky.social

1 month ago

AWS in the AI Era: A Complete Guide to Building Intelligent Applicatio Master AI Development on Amazon Web Services — The 2026 Essential Guide Author: Berg Codex | Format: Digital PDF Guide | Price: $34.99 | Instant Download Build, Deploy & Scale Production-Ready AI ...

The AWS AI stack in 2026:
→ SageMaker — custom ML models
→ Lambda — serverless inference
→ Rekognition — computer vision
→ Comprehend — NLP
→ Lex — conversational AI
→ Polly — text to speech
All in one guide 👇

#AWS #SageMaker #AIEngineering

Alon Shrestha

@alonshrestha.bsky.social

1 month ago

vpc only mode is more secure, and gives full network control, since you manage the networking. even in vpc only mode, you can enable internet access, using nat, or igw network setup.

im gaining clearer picture of how ml environments are structured in real systems on aws.

#ml #ai #aws #sagemaker

roxsross

@roxsross.bsky.social

1 month ago

🤖 Presentamos Amazon SageMaker Inference para modelos personalizados de Amazon Nova

Configura instancias, escalado y concurrencia pa

aws.amazon.com/blogs/aws/announcing-ama...

#MachineLearning #ModelDeployment #SageMaker #AWS #RoxsRoss

LLMs

@llms.activitypub.awakari.com.ap.brid.gy

1 month ago

Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI In this post, we show how this integrated approach transforms enterprise LLM fine-tuning from a complex, resource-intensive challenge...

#Amazon #SageMaker #AI #Amazon #SageMaker #HyperPod […]

[Original post on aws.amazon.com]

Kubernetes

@kubernetes.activitypub.awakari.com.ap.brid.gy

2 months ago

Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK In this post, we demonstrate how to use the CLI and the SDK to create and manage SageMaker HyperPod clusters in your AWS acc...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

[Original post on aws.amazon.com]

Kubernetes

@kubernetes.activitypub.awakari.com.ap.brid.gy

2 months ago

Manage Amazon SageMaker HyperPod clusters using the HyperPod CLI and SDK In this post, we demonstrate how to use the CLI and the SDK to create and manage SageMaker HyperPod clusters in your AWS acc...

#Amazon #Elastic #Kubernetes #Service #Amazon #SageMaker […]

[Original post on aws.amazon.com]

Notum Robotics

@n-r.hr

2 months ago

SageMaker Data Agent could let clinicians query EHRs like a chatbot, but privacy compliance and model bias remain major hurdles. 🤖 #sagemaker

Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent

roxsross

@roxsross.bsky.social

2 months ago

🤖 AWS Weekly Roundup: Flujos de trabajo de agentes en Amazon Bedrock, conectividad privada en ...

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AmazonBedrock #SageMaker #Serverless #AWS #RoxsRoss

Elizabeth Fuentes L

@elizabethfue12.bsky.social

2 months ago

AWS Weekly Roundup: Amazon Bedrock agent workflows, Amazon SageMaker private connectivity, and more (February 2, 2026) | Amazon Web Services Over the past week, we passed Laba festival, a traditional marker in the Chinese calendar that signals the final stretch leading up to the Lunar New Year. For many in China, it’s a moment associated...

📰🚨 AWS Weekly Roundup: Amazon Bedrock agent workflows, Amazon SageMaker private connectivity, and more (February 2, 2026)

#LabaFestival #Lichun #AWS #Bedrock #SageMaker

AWS Community Builder Blog Posts

@awscmblogposts.bsky.social

2 months ago

Creation of Jupyter Notebook Instance Using Amazon Braket “ I have checked the documents of AWS for the creation of jupyter notebook instance using amazon...

✍️ New blog post by GargeeBhatnagar

Creation of Jupyter Notebook Instance Using Amazon Braket

#amazonbraket #iamrole #jupyternotebook #sagemaker

AWS Insider

@awsinsider.bsky.social

2 months ago

Amazon SageMaker HyperPod Adds Enhanced Debugging -- AWSInsider New capabilities improve visibility into distributed training issues, helping teams diagnose failures and optimize long-running AI workloads.

Amazon Web Services (AWS) upgraded SageMaker HyperPod debugging with CloudWatch-integrated log pointers and more actionable lifecycle-script errors, making distributed training failures easier to pinpoint.

Learn more: https://ow.ly/Uuxj50Y19qG

#AWS #SageMaker #MLOps #GenAI #MachineLearning