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1 7 continuous delivery for ml engineering
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Classroom Contents
Cloud Computing with Python
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- 1 1 1 multi cloud onboarding with cloud computing
- 2 1 2 cloud computing service models
- 3 1 4 cloud computing build etl pipelines
- 4 1 5 build serverless solutions with cloud computing
- 5 1 6 containers in the cloud
- 6 1 7 continuous delivery for ml engineering
- 7 1 3 distributed computing in the cloud
- 8 Data Science for Infrastructure
- 9 Use AutoML for prototyping
- 10 MLOps containers with AWS and GCP
- 11 Pytest Master Class Full Course
- 12 Hello world IAC with AWS CDK
- 13 MLOPs chronicles 11 2021
- 14 AWS lambda python cloud9 and Boto3 one hour
- 15 Learn AWS CloudShell
- 16 Cloud computing for Data Full Course walkthrough
- 17 Benchmarking exotic and ridiculously powerful machines on AWS
- 18 Build Real-World Python Microservices with Continuous Delivery From Zero
- 19 Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers and Microservices
- 20 52 Weeks of AWS: Introduction to AWS ML Certification
- 21 Boost Python Code Speed with GPUs: Compare CPU, JIT, and CUDA
- 22 Key Skills Software Craftsmanship-10 Lessons
- 23 MLOps Workflows - Data vs Model Centric Pipelines
- 24 Cloud Developer Workspaces - The Future of Software Engineering Environments
- 25 Python Functions Master Class 2023
