4.37 out of 5
4.37
742 reviews on Udemy

AWS Machine Learning Certification Exam | Complete Guide

500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
Instructor:
Dr. Ryan Ahmed, Ph.D., MBA
5,894 students enrolled
English [Auto]
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

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.

INTRODUCTION, DATA/ML LINGO, AWS DATA STORAGE

1
What makes this course unique?
2
AWS Machine Learning Exam Overview
3
Course Outline
4
BONUS: Learning Path
5
Guidelines and Best Practices
6
Section Introduction
7
Section Introduction Quiz



8
What is Machine Learning and AI - Part 1
9
What is Machine Learning and AI - Part 1 Quiz
10
What is Machine Learning and AI - Part 2
11
What is Machine Learning and AI - Part 2 Quiz
12
Amazon Web Services
13
Amazon Web Services Quiz
14
AIML Data Lingo - Labeled vs. unlabeled
15
AIML Data Lingo - Labeled vs. unlabeled Quiz
16
AIML Data Lingo - Data Types
17
AIML Data Lingo - Data Types - quiz
18
Database vs. datalake vs. warehouse
19
Database vs. datalake vs. warehouse - Quiz
20
AWS Storage S3 DynamoDB RDS
21
AWS Storage S3 DynamoDB RDS Quiz
22
GET YOUR BONUS MATERIALS
23
Section 1 Slides

AMAZON S3

1
Section Introduction
2
Amazon S3 Partitions and Tags
3
Amazon S3 Partitions and Tags Quiz
4
S3 Storage Tiers and LifeCycle Polices
5
S3 Storage Tiers and LifeCycle Polices Quiz
6
S3 Encryption
7
S3 Encryption Quiz
8
S3 Security - Part 1
9
S3 Security - Part 1 Quiz
10
S3 Security - Part 2
11
S3 Security - Part 2 Quiz
12
Additional Information
13
Additional Information Quiz
14
GET YOUR BONUS MATERIALS
15
Section 2 Slides

AWS DATA MIGRATION, GLUE, PIPELINE, STEP and BATCH

1
Section Introduction
2
AWS Glue – part #1
3
AWS Glue – part #1 Quiz
4
AWS Glue – part #2
5
AWS Glue – part #2 Quiz
6
AWS Data Pipeline
7
AWS Data Pipeline Quiz
8
AWS Data Migration Service DMS
9
AWS Data Migration Service DMS Quiz
10
AWS Batch
11
AWS Batch Quiz
12
AWS Step Function
13
AWS Step Function Quiz
14
GET YOUR BONUS MATERIALS
15
Section 3 Slides

DATA STREAMING AND KINESIS

1
Section Introduction
2
Section Introduction Quiz
3
Kinesis Overview
4
Kinesis Overview Quiz
5
AWS Kinesis Video Streams - Part 1
6
AWS Kinesis Video Streams - Part 1 Quiz
7
AWS Kinesis Video Streams - Part 2
8
AWS Kinesis Video Streams - Part 2 Quiz
9
AWS Kinesis Data Streams - Part 1
10
AWS Kinesis Data Streams - Part 1 Quiz
11
AWS Kinesis Data Streams - Part 2
12
AWS Kinesis Data Streams - Part 2 - Quiz
13
AWS Kinesis Firehose
14
AWS Kinesis Firehose - Quiz
15
AWS Kinesis Analytics - Part 1
16
AWS Kinesis Analytics - Part 1 - Quiz
17
AWS Kinesis Analytics - Part 2
18
AWS Kinesis Analytics - Part 2 - Quiz
19
GET YOUR BONUS MATERIALS
20
Section 4 Slides

JUPYTER NOTEBOOK, SCIKIT-LEARN, PYTHON PACKAGES, AND DISTRIBUTIONS

1
Section Introduction
2
Jupyter Notebooks and Scikit Learn
3
Jupyter Notebooks and Scikit Learn Quiz
4
Python Packages (Pandas, Numpy, Matplotlib and Seaborn)
5
Python Packages (Pandas, Numpy, Matplotlib and Seaborn) Quiz
6
Data Visualization
7
Data Visualization - Quiz
8
Distributions (Normal, Standard, Poisson, Bernoulli)
9
Distributions (Normal, Standard, Poisson, Bernoulli) - Quiz
10
Time Series
11
Time Series - Quiz
12
GET YOUR BONUS MATERIALS
13
Section 5 Slides

ATHENA, QUICKSIGHT, EMR

1
Section Introduction
2
Athena - Part 1
3
Athena - Part 1 - Quiz
4
Athena - Part 2
5
Athena - Part 2 - Quiz
6
Amazon Quicksight - Part 1
7
Amazon Quicksight - Part 1 - Quiz
8
Amazon Quicksight - Part 2
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AWS Machine Learning Certification Exam | Complete Guide
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