AWS Machine Learning Certification Exam|2020 Complete Guide
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3,161 students enrolled

AWS Machine Learning Certification Exam|2020 Complete Guide

500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
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4.2 (390 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3,161 students enrolled
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This course includes
  • 17 hours on-demand video
  • 26 articles
  • 13 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Data Engineering
  • Data types, Python Libraries (pandas, Numpy, scikit Learn, MatplotLib, Seaborn), data distributions, timeseries, Feature Engineering (imputation, binning, encoding, and normalization)
  • AWS Services and Algorithms
  • Amazon SageMaker, Amazon S3 Storage services, AWS Glue
  • AWS Kinesis Services (Kinesis firehose, Kinesis video streams, Kinesis data streams, Kinesis analytics)
  • Redshift, Redshift Spectrum, DynamoDB, Athena, Amazon Quicksight, Elastic Map Reduce (EMR)
  • Rekognition, Lex, Polly, Comprehend, Translate, transcribe, BlazingText Word2Vec, DeepAR, Factorization Machines, Gradient Boosted Trees (XGBoost)
  • Image Classification (ResNet), IP Insights, K-Means Clustering, K-Nearest Neighbor (k-NN)
  • Latent Dirichlet Allocation (LDA), Linear Learner (Classification), Linear Learner (Regression)
  • Neural Topic Modelling (NTM), Object2Vec, Object Detection, Principal Component Analysis (PCA), Random Cut Forest, Semantic Segmentation, and Seqence2Sequence
  • Machine and Deep Learning Basics
Requirements
  • Basic AI/ML/AWS knowledge
Description

Update 01/02/2020: Section #13 on Machine Learning Implementation and Operations is released.


Machine and Deep Learning are the hottest tech fields to master right now! Machine/Deep Learning techniques are widely adopted in many fields such as banking, healthcare, transportation and technology. Amazon has recently introduced the AWS machine Learning Certification Speciality exam and its quite challenging! AWS Certified Machine Learning Specialty is targeted at data scientists and developers who design, train and deploy AI/ML models to solve real-world challenging problems.

The bad news: this exam is a very challenging AWS exam since it tests the candidate’s knowledge on multiple aspects such as (1) Data Engineering and Feature Engineering, (2) AI/ML Models selection, (3) Appropriate AWS services solution to solve business problem, (4) AI/ML models building, training, and deployment, (5) Model optimization and Hyperparameters tuning. You need to answer these questions in order to pass the exam:

o How to select proper ML technique to solve a given business problem?

o Which AWS service could work best for a given problem?

o How to design, implement and scale secure ML solutions?

o How to choose the most cost-effective solution?

The good news: With over 500+ slides and over 50 practice questions, this course is by far the most comprehensive course on the market that provides students with the foundational knowledge to pass the AWS Machine Learning Certification exam like a pro! This course covers the most important concepts without any fillers or irrelevant information.

Who this course is for:
  • Developers and data scientists wanting to get certified in AWS Machine Learning
Course content
Expand all 172 lectures 16:52:17
+ INTRODUCTION, DATA/ML LINGO, AWS DATA STORAGE
15 lectures 01:42:29
BONUS: Learning Path
00:32



Section Introduction Quiz
2 questions
What is Machine Learning and AI - Part 1 Quiz
2 questions
What is Machine Learning and AI - Part 2
09:50
What is Machine Learning and AI - Part 2 Quiz
2 questions
Amazon Web Services Quiz
2 questions
AIML Data Lingo - Labeled vs. unlabeled
14:04
AIML Data Lingo - Labeled vs. unlabeled Quiz
2 questions
AIML Data Lingo - Data Types
10:04
AIML Data Lingo - Data Types - quiz
2 questions
Database vs. datalake vs. warehouse
06:50
Database vs. datalake vs. warehouse - Quiz
2 questions
AWS Storage S3 DynamoDB RDS
11:02
AWS Storage S3 DynamoDB RDS Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 1 Slides
00:02
+ AMAZON S3
9 lectures 47:02
Section Introduction
02:40
Amazon S3 Partitions and Tags Quiz
2 questions
S3 Storage Tiers and LifeCycle Polices Quiz
2 questions
S3 Encryption
05:05
S3 Encryption Quiz
2 questions
S3 Security - Part 1 Quiz
2 questions
S3 Security - Part 2
05:11
S3 Security - Part 2 Quiz
2 questions
Additional Information
03:23
Additional Information Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 2 Slides
00:02
+ AWS DATA MIGRATION, GLUE, PIPELINE, STEP and BATCH
9 lectures 41:25
Section Introduction
03:18
AWS Glue – part #1 Quiz
2 questions
AWS Glue – part #2
08:40
AWS Glue – part #2 Quiz
2 questions
AWS Data Pipeline
07:34
AWS Data Pipeline Quiz
2 questions
AWS Data Migration Service DMS
03:33
AWS Data Migration Service DMS Quiz
2 questions
AWS Batch
02:57
AWS Batch Quiz
2 questions
AWS Step Function
08:31
AWS Step Function Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 3 Slides
00:02
+ DATA STREAMING AND KINESIS
11 lectures 56:18
Section Introduction
05:06
Section Introduction Quiz
1 question
Kinesis Overview Quiz
2 questions
AWS Kinesis Video Streams - Part 1
05:43
AWS Kinesis Video Streams - Part 1 Quiz
2 questions
AWS Kinesis Video Streams - Part 2 Quiz
2 questions
AWS Kinesis Data Streams - Part 1
05:21
AWS Kinesis Data Streams - Part 1 Quiz
2 questions
AWS Kinesis Data Streams - Part 2
06:59
AWS Kinesis Data Streams - Part 2 - Quiz
2 questions
AWS Kinesis Firehose - Quiz
2 questions
AWS Kinesis Analytics - Part 1
03:20
AWS Kinesis Analytics - Part 1 - Quiz
2 questions
AWS Kinesis Analytics - Part 2
07:53
AWS Kinesis Analytics - Part 2 - Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 4 Slides
00:02
+ JUPYTER NOTEBOOK, SCIKIT-LEARN, PYTHON PACKAGES, AND DISTRIBUTIONS
8 lectures 42:58
Section Introduction
06:42
Jupyter Notebooks and Scikit Learn
06:32
Jupyter Notebooks and Scikit Learn Quiz
2 questions
Python Packages (Pandas, Numpy, Matplotlib and Seaborn)
09:37
Python Packages (Pandas, Numpy, Matplotlib and Seaborn) Quiz
2 questions
Data Visualization - Quiz
2 questions
Distributions (Normal, Standard, Poisson, Bernoulli) - Quiz
2 questions
Time Series
02:35
Time Series - Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 5 Slides
00:02
+ ATHENA, QUICKSIGHT, EMR
11 lectures 01:10:52
Section Introduction
03:13
Athena - Part 1 - Quiz
2 questions
Athena - Part 2
07:54
Athena - Part 2 - Quiz
2 questions
Amazon Quicksight - Part 1 - Quiz
2 questions
Amazon Quicksight - Part 2
11:27
Amazon Quicksight - Part 2 - Quiz
2 questions
Elastic Map Reduce - Part 1
10:02
Elastic Map Reduce - Part 1 - Quiz
2 questions
Elastic Map Reduce - Part 2
11:21
Elastic Map Reduce - Part 2 - Quiz
2 questions
EMR and Hadoop
07:20
EMR and Hadoop - Quiz
2 questions
EMR and Spark
05:33
EMR and Spark - Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 6 Slides
00:02
+ FEATURE ENGINEERING
19 lectures 01:37:24
Introduction to Feature Engineering
02:31
Feature Engineering Overview - Quiz
2 questions
Amazon SageMaker GroundTruth - Quiz
2 questions
Feature Selection
05:25
Feature Selection - Quiz
2 questions
Scaling
09:27
Saling Quiz
2 questions
Imputation
10:21
Imputation - Quiz
2 questions
Outliers
05:08
Outliers - Quiz
2 questions
One Hot Encoding
03:41
One Hot Encoding - Quiz
2 questions
Binning
05:26
Binning - Quiz
2 questions
Log Transformation
03:31
Log Transformation - Quiz
2 questions
Shuffling, Feature Splitting, Unbalanced Datasets
06:24
Shuffling, Feature Splitting, Unbalanced Datasets Quiz
2 questions
Text Feature Engineering overview
03:40
Text Feature Engineering overview - Quiz
1 question
Bag of words, punctuation, and dates (easy ones!)
04:46
Bag of words, punctuation, and dates (easy ones!) - Quiz
2 questions
Term Frequency Inverse Document Frequency (TF-IDF)
06:43
Term Frequency Inverse Document Frequency (TF-IDF) - Quiz
2 questions
N-Grams (Unigram vs. Bigram vs. Trigram)
05:36
N-Grams (Unigram vs. Bigram vs. Trigram) - Quiz
2 questions
Orthogonal Sparse Bigram (OSB)
03:14
Orthogonal Sparse Bigram (OSB) - Quiz
2 questions
Cartesian Product Transformation
03:36
Cartesian Product Transformation - Quiz
1 question
GET YOUR BONUS MATERIALS
00:10
Section 7 Slides
00:02
+ MACHINE AND DEEP LEARNING BASICS - PART #1
15 lectures 01:57:19
Section Introduction
08:53
Artificial Neural Networks Basics: Single Neuron Model - Quiz
2 questions
Activation Functions
05:01
Activation Function - Quiz
2 questions
Multi-Layer Perceptron Model
07:30
Multi-Layer Perceptron Model - Quiz
2 questions
How do Artificial Neural Networks Train?
16:24
How do Artificial Neural Networks Train? - Quiz
2 questions
ANN Parameters Tuning – Learning rate and batch size - Quiz
2 questions
Tensorflow playground
14:39
Gradient Descent and Backpropagation
09:03
Gradient Descent and Backpropagation - Quiz
2 questions
Overfitting and Under fitting
06:09
Overfitting and Under fitting - Quiz
2 questions
How to overcome overfitting?
09:27
How to overcome overfitting? - Quiz
2 questions
Bias Variance Trade-off - Quiz
2 questions
L2 Regularization
07:47
L2 Regularization - Quiz
2 questions
L1 Regularization - Quiz
2 questions
GET YOUR BONUS MATERIALS
00:10
Section 8 Slides
00:02
+ MACHINE AND DEEP LEARNING BASICS - PART #2
14 lectures 01:52:38
Section Introduction
02:39
Artificial Neural Networks Architectures - Quiz
2 questions
Convolutional Neural Networks
18:54
Convolutional Neural Networks - Quiz
2 questions
Recurrent Neural Networks - Quiz
2 questions
Vanishing Gradient Problem
07:15
Vanishing Gradient Problem - Quiz
2 questions
Long Short Term Memory (LSTM) Networks
07:10
Long Short Term Memory (LSTM) Networks - Quiz
1 question
Model Performance Assessment – Confusion Matrix
07:55
Model Performance Assessment – Confusion Matrix - Quiz
2 questions
Model Performance Assessment – Precision, recall, F1-score
16:43
Model Performance Assessment – Precision, recall, F1-score - Quiz
2 questions
Model Performance Assessment – ROC, AUC, Heatmap, and RMSE - Quiz
2 questions
Transfer Learning - Quiz
1 question
Ensemble Learning - Bagging and Boosting
09:57
Ensemble Learning - Bagging and Boosting - Quiz
2 questions
K Fold Cross Validation
02:14
K Fold Cross Validation - Quiz
1 question
GET YOUR BONUS MATERIALS
00:10
Section 9 Slides
00:02
+ MACHINE AND DEEP LEARNING IN AWS - PART #1
16 lectures 01:39:21
Section Introduction
03:46
AWS Sagemaker - Quiz
2 questions
AWS SageMaker Part 2
12:11
AWS Sagemaker Part 2 - Quiz
1 question
Deep Learning on AWS
02:44
Deep Learning on AWS - Quiz
2 questions
SageMaker Built-in algorithms overview
06:36
SageMaker Built-in algorithms overview - Quiz
2 questions
Object Detection - Quiz
2 questions
Image classification
06:28
Image classification - Quiz
1 question
Semantic Segmentation
08:07
Semantic Segmentation - QUiz
2 questions
Linear Learner
06:57
Linear Learner - Quiz
2 questions
Factorization Machines
04:31
Factorization Machines - Quiz
2 questions
XGboost - Quiz
2 questions
Seq2Seq
05:55
Seq2Seq - Quiz
2 questions
DeepAR
08:14
DeepAR - Quiz
2 questions
Blazing Text
09:51
Blazing Text - Quiz
1 question
GET YOUR BONUS MATERIALS
00:10
Section 10 Slides
00:02