April 2025
Intermediate
9h 19m
English
Closed Captioning available in English
Overview
Master Cloud-Based Machine Learning on AWS
This course will teach critical skills to design and deploy scalable ML solutions. The core skills covered are:
- Data Preparation: Ingest, transform, and clean data using SageMaker
- Pipeline Automation: Build and deploy end-to-end ML workflows
- Solution Management: Monitor, secure, and optimize AWS-based ML systems
It offers hands-on AWS training that is ideal for software developers, data scientists, ML engineers, and DevOps professionals, this course blends theory with practical projects to help you design production-ready ML architectures, automate CI/CD pipelines for efficient deployment, implement security best practices for cloud-based systems.
You can find additional resources here: https://bitbucket.org/awsdevguru/awsmlassoc/src/main/
Related Learning:
- Sign up for more live trainings by Nick Garner
About the Instructor
Nick Garner, CCIE No. 17871, is a Solutions Integration Architect with Cisco Systems supporting customers in large-scale network design. He has deployed and supported large-scale data center designs for prominent clients in the San Francisco Bay area and works with Amazon Web Services daily. Prior to Cisco, he spent some time with a Cisco partner, Denali Advanced Integration, and is also a founder of several IoT companies that operate exclusively in AWS.
Skill Level:
- Intermediate to advanced
Course requirement:
- None
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
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