Day 3 - Aws Lambda, docker container, ECS, EKS смотреть онлайн

1 Month Internship on Amazon web services

Fee: Rs.1999 | Discount Fee: Rs.1000
Final Fee: Rs.999
Use Code - AWSMC1
Payment Link - https://imjo.in/zNppAn

Part - 1: Introduction to amazon web services
Day 1 - aws Introduction, account creation
Day 2 - aws cloud essentials 1 - Virtual machines (EC2), ELB, EBS
Day 3 - aws cloud Essentials 2 - AWS Lambda, docker container, ECS, EKS
Day 4 - aws cloud Essentials 3 - RDS, DynamoDB, S3
Part - 2: Machine learning
Day 5 - Introduction to machine learning, ML with AWS Sagemaker
Day 6 - Data collection, Pandas for machine learning
Day 7 - Data Engineering with (aws glue, glue ETL, Athena)
Day 8 - Numpy for machine learning
Day 9 - Matplotlib, Seaborn for machine learning
Dat 10 - aws data wrangler
Day 11 - Feature Scaling, encoding, handling null values
Day 12 - Outlier detection & handling, feature selection, train test split
Day 13 - Data preprocessing with SageMaker’s Scikit-Learn Container
Day 14 - Machine learning Modeling, model evaluation
Day 15 - aws Sagemaker built-in Algorithms for ML
Day 16 - Machine learning project - classification - Vehicle insurance claim fraud detection
Day 17 - Machine learning project - Regression - Abalone age prediction
Day 18 - AWS Sagemaker canvas, autopilot
Day 19 - Deep learning introduction
Day 20 - CNN project - Dog / Cat identification project
Day 21 - RNN, NLP basics
Day 22 - NLP project - Clothing - e-commerce review project
Part - 3: Deployment
Day 23 - Version control with Git & Github
Day 24 - CI/CD with Github
Day 25 - Deploying model with aws sagemaker
Day 26 - CI/CD with sagemaker pipeline
Day 27 - Census income prediction project with deployment
Day 28 - Music recommender system project with deployment
Day 29 - AWS AI services - Amazon Rekognition, Comprehend, Polly
Day 30 - AWS AI services - Lex, Transcribe, Textract

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