AWS Certified Machine Learning Specialty MLS-C01 [NEW 2023]

AWS Certified Machine Learning Specialty MLS-C01 [NEW 2023]

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 137 lectures (12h 14m) | 4.23 GB

Ace your AWS Certified Machine Learning Specialty Exam [MLS-C01] | AWS Machine Learning Practice Test included | 2023

Are you ready to take your AWS Machine Learning knowledge to the next level and earn your AWS Certified Machine Learning Specialty certification? Then this AWS Machine Learning Specialty video course is for you! Designed for intermediate to advanced learners, this 12-hour training will equip you with the knowledge and confidence you need to succeed in your MLS-C01 exam.

This course is your key to acing the Certified Machine Learning Specialty exam! With our mixture of in-depth theory, architectural diagrams and hands-on training, you’ll learn how to design, build, deploy, optimize, train, tune, and maintain ML solutions using AWS services. With this comprehensive Udemy AWS Machine Learning Specialty training, you have everything you need to comfortably pass the MLS-C01 certification exam.

Table of Contents

Lets Get Started
1 How to Use this Course
2 The MLSC01 Exam
3 Course Download

AWS Accounts and IAM
4 Introduction
5 AWS Account Overview
6 HandsOn Lesson HOL Create Your AWS Free Tier Account
7 HOL Configure Account and Create a Billing Alarm
8 AWS IAM Overview
9 IAM Users Groups Roles and Policies
10 HOL Create IAM User Account

Compute Storage and Database
11 Introduction
12 Amazon Elastic Compute Cloud EC2
13 Amazon Elastic Container Service ECS
14 Amazon S3 Overview
15 IAM Policies Bucket Policies and ACLs
16 Block vs File vs Object Storage
17 Amazon EBS
18 Amazon Elastic File System EFS
19 Amazon FSx
20 Amazon DynamoDB
21 Amazon Redshift

Data Engineering
22 Introduction
23 Amazon Kinesis
24 Amazon Kinesis Data Streams
25 Create a Kinesis Data Stream
26 Amazon Kinesis Data Firehose
27 Create a Kinesis Data Firehose
28 Kinesis Data Streams vs Firehose
29 Amazon Kinesis Data Analytics
30 Amazon Kinesis Video Streams
31 AWS Glue
32 AWS Glue crawler transformation
33 AWS Batch
34 AWS Database Migration Service DMS
35 AWS Step Functions
36 Exam cram

Exploratory Data Analysis
37 Introduction
38 CrossIndustry Standard Process for Data Mining CRISPDM
39 Plots
40 Data types
41 Data distribution
42 Feature Engineering
43 Data transformation NumbersCategories
44 Data transformation TextImages
45 Imputation Techniques
46 Unbalanced data
47 Outliers
48 Amazon Sagemaker Ground Truth
49 Create a labelling job
50 Amazon Quicksight
51 Create an analysis using Quicksight
52 Amazon Athena
53 Running SQL queries in Athena
54 Amazon Elastic Map Reduce EMR
55 Exam cram

Machine learning
56 Introduction
57 Machine Learning categories
58 Regression
59 Regression Model evaluation
60 Classification
61 Classification Model evaluation
62 Dimensionality Reduction
63 Deep Learning
64 Natural Language processing NLP
65 Computer Vision CV
66 Convolutional Neural Network CNN
67 Recurrent Neural Network
68 Neural Network characteristics
69 Neural Networks problems
70 OverfittingUnderfitting
71 Preventing overfitting
72 Validation techniques
73 Ensemble learning
74 Exam cram

AI services
75 Introduction
76 AI services
77 Amazon Comprehend
78 Customers reviews sentiment analysis
79 Amazon Translate
80 Amazon Transcribe
81 Amazon Polly
82 Amazon Rekognition
83 AWS Deeplens
84 Amazon Textract
85 Amazon Forecast
86 Amazon Lex
87 Amazon Fraud detector
88 Exam cram

Modelling
89 Introduction
90 Amazon SageMaker
91 Amazon SageMaker Walkthrough
92 Create an Amazon SageMaker Notebook instance
93 Builtin algorithms overview
94 Linear Learner
95 XGBoost
96 KNearest Neighbours
97 Factorization machines
98 DeepAR
99 Image classification
100 Object Detection
101 Semantic Segmentation
102 Seq2Seq
103 BLazingText
104 Neural Topic Model NTM
105 Latent Dirichlet Allocation LDA
106 Random Cut Forest RCF
107 Kmeans clustering
108 Object2Vec
109 Principal Component Analysis PCA
110 IP insights
111 Reinforcement learning
112 Builtin algorithms recap
113 Docker containers with Sagemaker
114 XGBoost Churn prediction
115 Script mode
116 Bring Your Own BYO Docker
117 Sagemaker Instance types
118 Hyperparameter tuning
119 Hyperparameter tuning job
120 Distributed Training
121 Apache Spark with Sagemaker
122 Sagemaker Debugger
123 Sagemaker Autopilot
124 Exam cram

Deployment
125 Introduction
126 Online Inference Realtime
127 Batch transform
128 Sagemaker Deployment
129 Inference Pipeline
130 SageMaker Monitoring
131 Sagemaker Security
132 Sagemaker Model Monitor
133 Sagemaker Neo and IOT greengrass
134 EC2 Inf1 instances
135 XGBoost Churn prediction deployment
136 Exam cram

Practice Test

Additional Training
137 Bonus Lesson

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