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Amazon Web Services Machine Learning

Course

AMAZON WEB SERVICES MACHINE LEARNING

Category

Machine Learning Online Courses

Eligibility

Working Professionals and Freshers

Mode

Online and Offline Classes

Batches

Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Machine Learning Objectives

•Learn how to code in Machine Learning.
•Learn to manage application state with Machine Learning.
•Learn from simple and interactive sessions on Machine Learning
•Students will learn how to build apps using Machine Learning.Learn Machine Learning programming best pracitices, SOLID, Design and more!
•Become a Machine Learning Certified Developer! Learn all Machine Learning Developer topics
•An easy way to learn one of the widely used Machine Learning
•In This Course u Will Learn How To Develop Apps using Machine Learning
•Learn Machine Learning From Beginner To Intermediate Fast! Become a Machine Learning expert in no time!

amazon web services machine learning Course Features

•We are Known for High-Quality Training
•Training by Industry expert professionals
• Helps you stand out in a competitive market
•Immersive hands-on training on Python Programming
•Assignments and test to ensure concept absorption.
•Courseware includes reference material to maximize learning.
•Every class will be followed by practical assignments which aggregates to minimum 60 hours.
• Our dedicated HR department will help you search jobs as per your module & skill set, thus, drastically reducing the job search time

Who are eligible for Machine Learning

•Cloud Computing, Cybersecurity, Application Development And Programming., Networking And Wireless, Analytics And Data Management, Systems And Enterprise
•Db2 Dba, SQL Dba, Java Developers, Java Lead, Firmware Developer, asp.net developer, Device Driver Developer, Hybris Developer, e Commerce Architect, ATG, WCS
•Java/j2ee, Microsoft, Erp, Cloud, Qa/testing, Automation Testing, Analytics, Machine Learning, Artificial Intelligence, Agile Project Management, Mobility
•Sap, Process Executive, Hadoop Developer, Hadoop Architect, Sap Srm/snc Testing, Sap Pp / Qm Testing, Sap Ewm Testing, Sharepoint Developer, T24 Technical And
•Software Engineer, Business Operational Analyst, Project Manager, Software Test Engineer, Android Developers, HTML5 Developers, IT Help Desk, IT Freshers

AMAZON WEB SERVICES MACHINE LEARNING Syllabus

INTRODUCTION, DATA/ML LINGO, AWS DATA STORAGE
•What makes this course unique?
•AWS Machine Learning Exam Overview
•BONUS: Learning Path
•Guidelines and Best Practices
•Section Introduction Quiz
•What is Machine Learning and AI –
•What is Machine Learning and AI – Quiz
•Amazon Web Services
•Amazon Web Services Quiz
•AIML Data Lingo – Labeled vs. unlabeled
•AIML Data Lingo – Labeled vs. unlabeled Quiz
•AIML Data Lingo – Data Types
•AIML Data Lingo – Data Types – quiz
•Database vs. datalake vs. warehouse
•Database vs. datalake vs. warehouse – Quiz
•AWS Storage S3 DynamoDB RDS
•AWS Storage S3 DynamoDB RDS Quiz
•GET YOUR BONUS MATERIALS
•Section 1 Slides
•AMAZON S3
•Amazon S3 Partitions and Tags
•Amazon S3 Partitions and Tags Quiz
•S3 Storage Tiers and LifeCycle Polices
•S3 Storage Tiers and LifeCycle Polices Quiz
•S3 Encryption
•S3 Encryption Quiz
•S3 Security –
•S3 Security – Quiz
•Additional Information
•Additional Information Quiz
•Section 2 Slides
•AWS DATA MIGRATION, GLUE, PIPELINE, STEP and BATCH
•AWS Glue – part #1
•AWS Glue – part #1 Quiz
•AWS Glue – part #2
•AWS Glue – part #2 Quiz
•AWS Data Pipeline
•AWS Data Pipeline Quiz
•AWS Data Migration Service DMS
•AWS Data Migration Service DMS Quiz
•AWS Batch
•AWS Batch Quiz
•AWS Step Function
•AWS Step Function Quiz
•Section 3 Slides
•DATA STREAMING AND KINESIS
•Kinesis Overview
•Kinesis Overview Quiz
•AWS Kinesis Video Streams –
•AWS Kinesis Video Streams – Quiz
•AWS Kinesis Data Streams –
•AWS Kinesis Data Streams – Quiz
•AWS Kinesis Data Streams – – Quiz
•AWS Kinesis Firehose
•AWS Kinesis Firehose – Quiz
•AWS Kinesis Analytics –
•AWS Kinesis Analytics – – Quiz
•Section 4 Slides
•JUPYTER NOTEBOOK, SCIKIT-LEARN, PYTHON PACKAGES, AND DISTRIBUTIONS
•Jupyter Notebooks and Scikit Learn
•Jupyter Notebooks and Scikit Learn Quiz
•Python Packages (Pandas, Numpy, Matplotlib and Seaborn)
•Python Packages (Pandas, Numpy, Matplotlib and Seaborn) Quiz
•Data Visualization
•Data Visualization – Quiz
•Distributions (Normal, Standard, Poisson, Bernoulli)
•Distributions (Normal, Standard, Poisson, Bernoulli) – Quiz
•Time Series
•Time Series – Quiz
•Section 5 Slides
•ATHENA, QUICKSIGHT, EMR
•Athena –
•Athena – – Quiz
•Amazon Quicksight –
•Amazon Quicksight – – Quiz
•Elastic Map Reduce –
•Elastic Map Reduce – – Quiz
•EMR and Hadoop
•EMR and Hadoop – Quiz
•EMR and Spark
•EMR and Spark – Quiz
•Section 6 Slides
•FEATURE ENGINEERING
•Introduction to Feature Engineering
•Feature Engineering Overview
•Feature Engineering Overview – Quiz
•Amazon SageMaker GroundTruth
•Amazon SageMaker GroundTruth – Quiz
•Feature Selection
•Feature Selection – Quiz
•Scaling
•Saling Quiz
•Imputation
•Imputation – Quiz
•Outliers
•Outliers – Quiz
•One Hot Encoding
•One Hot Encoding – Quiz
•Binning
•Binning – Quiz
•Log Transformation
•Log Transformation – Quiz
•Shuffling, Feature Splitting, Unbalanced Datasets
•Shuffling, Feature Splitting, Unbalanced Datasets Quiz
•Text Feature Engineering overview
•Text Feature Engineering overview – Quiz
•Bag of words, punctuation, and dates (easy ones!)
•Bag of words, punctuation, and dates (easy ones!) – Quiz
•Term Frequency Inverse Document Frequency (TF-IDF)
•Term Frequency Inverse Document Frequency (TF-IDF) – Quiz
•N-Grams (Unigram vs. Bigram vs. Trigram)
•N-Grams (Unigram vs. Bigram vs. Trigram) – Quiz
•Orthogonal Sparse Bigram (OSB)
•Orthogonal Sparse Bigram (OSB) – Quiz
•Cartesian Product Transformation
•Cartesian Product Transformation – Quiz
•Section 7 Slides
•MACHINE AND DEEP LEARNING BASICS – PART #1
•Artificial Neural Networks Basics: Single Neuron Model
•Artificial Neural Networks Basics: Single Neuron Model – Quiz
•Activation Functions
•Activation Function – Quiz
•Multi-Layer Perceptron Model
•Multi-Layer Perceptron Model – Quiz
•How do Artificial Neural Networks Train?
•How do Artificial Neural Networks Train? – Quiz
•ANN Parameters Tuning – Learning rate and batch size
•ANN Parameters Tuning – Learning rate and batch size – Quiz
•Tensorflow playground
•Gradient Descent and Backpropagation
•Gradient Descent and Backpropagation – Quiz
•Overfitting and Under fitting
•Overfitting and Under fitting – Quiz
•How to overcome overfitting?
•How to overcome overfitting? – Quiz
•Bias Variance Trade-off
•Bias Variance Trade-off – Quiz
•L2 Regularization
•L2 Regularization – Quiz
•L1 Regularization
•L1 Regularization – Quiz
•Section 8 Slides
•MACHINE AND DEEP LEARNING BASICS – PART #2
•Artificial Neural Networks Architectures
•Artificial Neural Networks Architectures – Quiz
•Convolutional Neural Networks
•Convolutional Neural Networks – Quiz
•Recurrent Neural Networks
•Recurrent Neural Networks – Quiz
•Vanishing Gradient Problem
•Vanishing Gradient Problem – Quiz
•Long Short Term Memory (LSTM) Networks
•Long Short Term Memory (LSTM) Networks – Quiz
•Model Performance Assessment – Confusion Matrix
•Model Performance Assessment – Confusion Matrix – Quiz
•Model Performance Assessment – Precision, recall, F1-score
•Model Performance Assessment – Precision, recall, F1-score – Quiz
•Model Performance Assessment – ROC, AUC, Heatmap, and RMSE
•Model Performance Assessment – ROC, AUC, Heatmap, and RMSE – Quiz
•Transfer Learning
•Transfer Learning – Quiz
•Ensemble Learning – Bagging and Boosting
•Ensemble Learning – Bagging and Boosting – Quiz
•K Fold Cross Validation
•K Fold Cross Validation – Quiz
•Section 9 Slides
•MACHINE AND DEEP LEARNING IN AWS – PART #1
•AWS SageMaker
•AWS Sagemaker – Quiz
•AWS SageMaker
•AWS Sagemaker – Quiz
•Deep Learning on AWS
•Deep Learning on AWS – Quiz
•SageMaker Built-in algorithms overview
•SageMaker Built-in algorithms overview – Quiz
•Object Detection
•Object Detection – Quiz
•Image classification
•Image classification – Quiz
•Semantic Segmentation
•Semantic Segmentation – QUiz
•Linear Learner
•Linear Learner – Quiz
•Factorization Machines
•Factorization Machines – Quiz
•XGboost
•XGboost – Quiz
•Seq2Seq
•Seq2Seq – Quiz
•DeepAR
•DeepAR – Quiz
•Blazing Text
•Blazing Text – Quiz
•Section 10 Slides
•MACHINE AND DEEP LEARNING IN AWS – PART #2
•Random Cut Forest
•Random Cut Forest – Quiz
•K Nearest Neighbors KNN
•K Nearest Neighbors KNN – Quiz
•K Means
•K-Means Quiz
•Principal Component Analysis PCA
•Principal Component Analysis PCA – Quiz
•IP Insights
•IP Insights – Quiz
•Reinforcement Learning
•Reinforcement Learning – Quiz
•Neural Topic Model NTM
•Neural Topic Model NTM – Quiz
•LDA
•LDA – Quiz
•Object2Vec
•Object2Vec – Quiz
•Multi Model
•Multi Model – Quiz
•Automatic Model Tuning
•Automatic Model Tuning – Quiz
•Section 11 Slides
•AWS HIGH LEVEL AI/ML SERVICES
•SageMaker AIML High Level Services
•Top 5 AI/ML Services
•ReKognition
•ReKognition – Quiz
•Amazon Comprehend and Comprehend Medical
•Amazon Comprehend and Comprehend Medical – Quiz
•Translate
•Translate – Quiz
•Transcribe
•Transcribe – Quiz
•Polly
•Polly – Quiz
•Forecast
•Forecast – Quiz
•Lex
•Lex – Quiz
•Personalize
•Personalize – Quiz
•Textract
•Textract – Quiz
•AWS DeepLens
•AWS DeepLens – Quiz
•AWS DeepRacer
•AWS DeepRacer – Quiz
•Section 12 Slides
•ML IMPLEMENTATION AND OPERATION
•SageMaker Components Review – Quiz
•SageMaker Model Deployment
•SageMaker Model Deployment – Quiz
•Resources and Instance Types
•Resources and Instance Types – Qui