AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering

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Noah Gift

1:29:18

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01 - Introduction

01 - Overview.mp4

04:21

02 - Technology prerequisites.mp4

03:00

03 - Use SageMaker Studio Lab.mp4

07:04

04 - Learn AWS CloudShell.mp4

12:01

05 - The cloud developer workspace advantage.mp4

04:10

06 - Prototype AI APIs on AWS with CloudShell and Bash.mp4

12:39

07 - Using AWS Cloud9 with Amazon CodeWhisperer.mp4

09:17

02 - 1. Create Data Repositories for Machine Learning

01 - Domain one Introduction.mp4

01:54

02 - Data storage.mp4

01:27

03 - Determine storage mediums.mp4

03:33

04 - Use S3 demo.mp4

06:43

03 - 2. Identify and Implement a Data Ingestion Solution

01 - Job styles batch vs. streaming.mp4

02:30

02 - Data ingestion pipelines.mp4

02:11

03 - AWS Batch demo.mp4

03:29

04 - Step Function demo.mp4

08:25

04 - 3. Identify and Implement a Data Transformation Solution

01 - Transform data in transit.mp4

02:02

02 - Handle ML-specific MapReduce.mp4

01:55

03 - EMR Spark demo.mp4

01:10

05 - Conclusion

01 - Next steps.mp4

01:27

Description

Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the data engineering portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. After walking you through the technology prerequisites and the tools you will use, Noah dives into creating data repositories, identifying and implementing data ingestion and transformation solutions, designing and implementing data warehousing solutions, and enabling data access and discovery. He also presents practical demos of AWS Batch, step functions, EMR Spark, and more.

This course was created by Noah Gift. We are pleased to host this training in our library.

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Amazon AWS

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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