{"id":16508084,"url":"https://github.com/noahgift/aws-ml-guide","last_synced_at":"2025-04-04T12:07:29.339Z","repository":{"id":33496933,"uuid":"158305833","full_name":"noahgift/aws-ml-guide","owner":"noahgift","description":"[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide","archived":false,"fork":false,"pushed_at":"2025-01-10T22:54:01.000Z","size":9685,"stargazers_count":121,"open_issues_count":4,"forks_count":104,"subscribers_count":12,"default_branch":"master","last_synced_at":"2025-03-28T11:09:06.071Z","etag":null,"topics":["cloud","machine-learning","pearson","python","video-courses"],"latest_commit_sha":null,"homepage":"https://noahgift.github.io/aws-ml-guide/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/noahgift.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-11-20T00:01:46.000Z","updated_at":"2025-01-10T22:54:06.000Z","dependencies_parsed_at":"2024-10-27T11:08:49.179Z","dependency_job_id":"b3e2c816-1e24-458c-a914-8ef2e92cd42b","html_url":"https://github.com/noahgift/aws-ml-guide","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Faws-ml-guide","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Faws-ml-guide/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Faws-ml-guide/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noahgift%2Faws-ml-guide/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/noahgift","download_url":"https://codeload.github.com/noahgift/aws-ml-guide/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247174418,"owners_count":20896078,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cloud","machine-learning","pearson","python","video-courses"],"created_at":"2024-10-11T15:32:42.250Z","updated_at":"2025-04-04T12:07:29.317Z","avatar_url":"https://github.com/noahgift.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers\n\n### 🔥 Hot Course Offers:\n* 🤖 [Master GenAI Engineering](https://ds500.paiml.com/learn/course/0bbb5/) - Build Production AI Systems\n* 🦀 [Learn Professional Rust](https://ds500.paiml.com/learn/course/g6u1k/) - Industry-Grade Development\n* 📊 [AWS AI \u0026 Analytics](https://ds500.paiml.com/learn/course/31si1/) - Scale Your ML in Cloud\n* ⚡ [Production GenAI on AWS](https://ds500.paiml.com/learn/course/ehks1/) - Deploy at Enterprise Scale\n* 🛠️ [Rust DevOps Mastery](https://ds500.paiml.com/learn/course/ex8eu/) - Automate Everything\n\n### 🚀 Level Up Your Career:\n* 💼 [Production ML Program](https://paiml.com) - Complete MLOps \u0026 Cloud Mastery\n* 🎯 [Start Learning Now](https://ds500.paiml.com) - Fast-Track Your ML Career\n* 🏢 Trusted by Fortune 500 Teams\n\nLearn end-to-end ML engineering from industry veterans at [PAIML.COM](https://paiml.com)\n\n\n#  AWS Certified Machine Learning-Specialty (ML-S) Guide\n\n![awsmlbook](https://user-images.githubusercontent.com/58792/54616901-a4bf0580-4a1d-11e9-8d46-a9d982b96f07.png)\n\n[Interactive Jupyter/Colab book companion](https://noahgift.github.io/aws-ml-guide/) to [AWS Certified Machine Learning-Speciality Video](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)\n\n## Recommended Preparation\n\n* You can take a [Free Course I created here on AWS Cloud Practitioner Exam](https://store.paiml.com/aws-cloud-practitioner).  \n\n### Additional Related Topics from Noah Gift\n\n#### Next Steps:  Take Coursera MLOps Course\n\n![cloud-specialization](https://user-images.githubusercontent.com/58792/121041040-650ca180-c780-11eb-956e-8d1ecb134641.png)\n\n* [Take the Specialization](https://www.coursera.org/learn/cloud-computing-foundations-duke?specialization=building-cloud-computing-solutions-at-scale)\n* [Cloud Computing Foundations](https://www.coursera.org/learn/cloud-computing-foundations-duke?specialization=building-cloud-computing-solutions-at-scale)\n* [Cloud Virtualization, Containers and APIs](https://www.coursera.org/learn/cloud-virtualization-containers-api-duke?specialization=building-cloud-computing-solutions-at-scale)\n* [Cloud Data Engineering](https://www.coursera.org/learn/cloud-data-engineering-duke?specialization=building-cloud-computing-solutions-at-scale)\n* [Cloud Machine Learning Engineering and MLOps](https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke?specialization=building-cloud-computing-solutions-at-scale)\n\n\nHis most recent books are:\n\n# Python MLOps Cookbook \nThis is an example of a Containerized Flask Application the can be the core ingredient in many \"recipes\", i.e. deploy targets.\n\n![mlops-color](https://user-images.githubusercontent.com/58792/121539559-c6787e80-c9d3-11eb-9f48-5d25924fad25.png)\n* [Read Practical MLOps Online](https://learning.oreilly.com/library/view/practical-mlops/9781098103002/)\n* [Purchase Practical MLOps](https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017)\n\n*   [Pragmatic A.I.:   An introduction to Cloud-Based Machine Learning (Pearson, 2018)](https://www.amazon.com/Pragmatic-AI-Introduction-Cloud-Based-Analytics/dp/0134863860)\n*   [Python for DevOps (O'Reilly, 2020)](https://www.amazon.com/Python-DevOps-Ruthlessly-Effective-Automation/dp/149205769X).\n*   [Cloud Computing for Data Analysis, 2020](https://leanpub.com/cloud4data)\n*   [Testing in Python, 2020](https://leanpub.com/testinginpython)\n\nHis most recent video courses are:\n\n*   [Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)](https://learning.oreilly.com/videos/essential-machine-learning/9780135261118)\n*   [AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-machine/9780135556597)\n*   [Python for Data Science Complete Video Course Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/python-for-data/9780135687253)\n*   [AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)](https://learning.oreilly.com/videos/aws-certified-big/9780135772324)\n*   [Building A.I. Applications on Google Cloud Platform (Pearson, 2019)](https://learning.oreilly.com/videos/building-ai-applications/9780135973462)\n*   [Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)](https://learning.oreilly.com/videos/pragmatic-ai-and/9780136554714)\n*   [Data Engineering with Python and AWS Lambda (Pearson, 2019)](https://learning.oreilly.com/videos/data-engineering-with/9780135964330)\n\nHis most recent online courses are:\n\n*   [Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)](https://www.udacity.com/course/cloud-dev-ops-nanodegree--nd9991)\n*   [Command Line Automation in Python (DataCamp, 2019)](https://www.datacamp.com/instructors/ndgift)\n*   [AWS Certified Cloud Practitioner 2020-Real World \u0026 Pragmatic](https://www.udemy.com/course/aws-certified-cloud-practitioner-2020-real-world-pragmatic/?referralCode=CAC679A7D08212773428).\n\nMailing List and Newsletter:\n\n*   [Get the latest content and updates from Pragmatic AI Labs:  Subscribe to the mailing list!](https://newsletter.paiml.com/social)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Faws-ml-guide","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoahgift%2Faws-ml-guide","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoahgift%2Faws-ml-guide/lists"}