500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
Instructed by Ryan Ahmed 17 hours on-demand video, 26 articles & 13 downloadable resources
After completing the course, you will learn…
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Data Engineering
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Data types, Python Libraries (pandas, Numpy, scikit Learn, MatplotLib, Seaborn), data distributions, timeseries, Feature Engineering (imputation, binning, encoding, and normalization)
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AWS Services and Algorithms
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Amazon SageMaker, Amazon S3 Storage services, AWS Glue
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AWS Kinesis Services (Kinesis firehose, Kinesis video streams, Kinesis data streams, Kinesis analytics)
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Redshift, Redshift Spectrum, DynamoDB, Athena, Amazon Quicksight, Elastic Map Reduce (EMR)
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Rekognition, Lex, Polly, Comprehend, Translate, transcribe, BlazingText Word2Vec, DeepAR, Factorization Machines, Gradient Boosted Trees (XGBoost)
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Image Classification (ResNet), IP Insights, K-Means Clustering, K-Nearest Neighbor (k-NN)
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Latent Dirichlet Allocation (LDA), Linear Learner (Classification), Linear Learner (Regression)
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Neural Topic Modelling (NTM), Object2Vec, Object Detection, Principal Component Analysis (PCA), Random Cut Forest, Semantic Segmentation, and Seqence2Sequence
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Machine and Deep Learning Basics
Who this course is for:
- Developers and data scientists wanting to get certified in AWS Machine Learning
Suggested Courses
- AWS Certified Data Analytics Specialty 2024 – Hands On!
- Amazon AWS Machine Learning. Curso de AWS Machine Learning
- AWS Lambda & Serverless – Developer Guide with Hands-on Labs
- Amazon Web Services (AWS) – Master Amazon Cloud Platform
Deal Score+1
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