ChandraLingam / AmazonSageMakerCourseLinks
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hy…
☆238Updated 9 months ago
Alternatives and similar repositories for AmazonSageMakerCourse
Users that are interested in AmazonSageMakerCourse are comparing it to the libraries listed below
Sorting:
- AWS Certified Machine Learning - Specialty (MLS-C01)☆168Updated 2 years ago
- ☆154Updated 2 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated last year
- AWS Lambda☆230Updated last year
- Learn Amazon SageMaker☆105Updated last month
- Repo with resources to pass the AWS ML Specialty exam☆142Updated 5 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆67Updated last month
- End-to-End examples that show how to solve business problems using Amazon SageMaker and it's ML/DL algorithm.☆17Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆419Updated last year
- Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.☆32Updated 3 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated last month
- Learn Amazon SageMaker - Second Edition, published by Packt☆59Updated last month
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆327Updated 2 years ago
- ☆318Updated last month
- Mastering Machine Learning on AWS, published by Packt☆47Updated 2 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 4 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆119Updated 3 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years ago
- Deploy Flask Machine Learning Application on Azure App Services☆115Updated last year
- Hands-on SageMaker lab looking at cell phone churn☆42Updated 4 years ago
- MLOps workshop with Amazon SageMaker☆112Updated 9 months ago
- DAS-C01 ACG/LA by Brock Tubre and John Hanna☆124Updated 2 years ago
- Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker☆329Updated last year
- This is a repo for building out Github Actions and Tricks☆53Updated last year
- Machine Learning Engineering on AWS, published by Packt☆72Updated last month
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Automated Machine Learning on AWS, published by Packt☆45Updated 2 years ago