AWS Certified Machine
Learning Speciality
Learn how to run your scientic notebooks on AWS and how to leverage AWS ML services
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USD $60.00
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You need to signup and submit an application to our early access program.
You need to signup and submit an application to our early access program.
This Course Includes:
1 Year Access
8.5
Hours of Video
64
Lectures
8
Follow Alongs
4
Cheat Sheets
180
Flashcards
Certificate of Completion
Course Outline
Introduction into Machine Learning
14m 41s
Artificial Intelligence
4m 42s
Lecture
Watch
Machine Learning
5m 24s
Lecture
Watch
Deep Learning
4m 35s
Lecture
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ML Frameworks and Developer Tools
38m 37s
Sckit-learn
3m 54s
Lecture
Watch
pandas
6m 43s
Follow Along
Watch
Jupyter Notebooks
8m 8s
Follow Along
Watch
TensorFlow
3m 21s
Lecture
Watch
PyTorch
3m 55s
Lecture
Watch
MXNet
5m 2s
Lecture
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ML Frameworks and Developer Tools CheatSheet
7m 34s
Lecture
Watch
Machine Learning AWS Services
47m 35s
Amazon Transcribe
3m 43s
Lecture
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Amazon Polly
6m 12s
Lecture
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Amazon Translate
4m 34s
Lecture
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Amazon Comprehend
7m 32s
Lecture
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Amazon Lex
4m 2s
Lecture
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Amazon Rekognition
8m 41s
Lecture
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AWS DeepRacer
5m 38s
Lecture
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AWS DeepLens
3m 40s
Lecture
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AWS RoboMaker
3m 33s
Lecture
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SageMaker
52m 55s
Introduction to SageMaker
4m 15s
Lecture
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Model Training
4m 44s
Lecture
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Model Deployment
5m 12s
Lecture
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Monitoring
3m 51s
Lecture
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Security
6m 9s
Lecture
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Ground Truth
5m 14s
Lecture
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Notebooks
4m 41s
Lecture
Watch
Hyperparameter optimization
3m 21s
Lecture
Watch
SageMaker CheatSheet
15m 28s
Cheatsheet
Watch
Building a Model
1h 56m 27s
The Built-in Alogrithims
6m 11s
Lecture
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BlazingText
8m 50s
Lecture
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DeepAR
8m 22s
Lecture
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Factorization Machines
2m 1s
Lecture
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Image Classification
9m 40s
Lecture
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IP Insights
5m 51s
Lecture
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K-Means
5m 1s
Lecture
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K-NN
7m 12s
Lecture
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LDA
8m 24s
Lecture
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Linear Learner Algorithm
5m 2s
Lecture
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NTM
3m 33s
Lecture
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Object2Vec
5m 33s
Lecture
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Object Detection Algorithm
7m 56s
Lecture
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PCA
9m 7s
Lecture
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RCF
6m 22s
Lecture
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Semantic Segementation
5m 21s
Lecture
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seq2seq
5m 22s
Lecture
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XGBoost
6m 39s
Lecture
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Training a Model
26m 1s
Incremental Training
4m 22s
Lecture
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Managed Spot Training
6m 31s
Lecture
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Automatic Model Tuning
4m 2s
Lecture
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Deploying a Model
6m 22s
Lecture
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Training Model CheatSheet
4m 44s
Lecture
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Deploying a Model
29m 35s
Inference Pipeline
9m 20s
Lecture
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Neo
5m 41s
Lecture
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Batch Transform
4m 22s
Lecture
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Elastic Inference
4m 42s
Lecture
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Deploying Model CheatSheet
5m 30s
Lecture
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Supporting ML AWS Services
1h 30m 38s
Athena
7m 13s
Lecture
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QuickSight
5m 21s
Lecture
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Kinesis Data Streams
5m 4s
Lecture
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Kinesis Firehose
8m 47s
Lecture
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Kinesis Video Streams
7m 42s
Lecture
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Kinesis Data Analytics
8m 54s
Lecture
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S3
8m 4s
Lecture
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AWS Glue
9m 24s
Lecture
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Step Functions
8m 44s
Lecture
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Machine Learning AMIs
6m 43s
Lecture
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EMR
8m 2s
Lecture
Watch
Supporting ML Services CheatSheet
6m 40s
Cheatsheet
Watch
SageMaker Built-in Algorithm Follow Along
53m
Building the model
22m 2s
Follow Along
Watch
Training the model
16m 13s
Follow Along
Watch
Deploying the model
14m 45s
Follow Along
Watch
SageMaker Custom Algorithm Follow Along
53m 44s
Building a Container
19m 1s
Follow Along
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Packaging
19m 22s
Follow Along
Watch
Deploying
15m 21s
Follow Along
Watch