AWS Certified Machine Learning Engineer Associate: Hands On!

Introduction
1 Introduction and Course Overview
2 Udemy 101
3 Get the Course Materials
4 Setting Up an AWS Billing Alarm

Data Ingestion and Storage
5 Intro Data Ingestion and Storage
6 Types of Data
7 Properties of Data (The Three V’s)
8 Data Warehouses, Lakes, and Lakehouses
9 Data Mesh
10 ETL & ETL Pipelines and Orchestration
11 Common Data Sources and Data Formats
12 Amazon S3
13 Amazon S3 – Hands On
14 Amazon S3 Security – Bucket Policy
15 Amazon S3 Security – Bucket Policy – Hands On
16 Amazon S3 – Versioning
17 Amazon S3 – Versioning – Hands On
18 Amazon S3 – Replication
19 Amazon S3 – Replication – Notes
20 Amazon S3 – Replication – Hands On
21 Amazon S3 – Storage Classes
22 Amazon S3 – Storage Classes – Hands On
23 Amazon S3 – Lifecycle Rules
24 Amazon S3 – Lifecycle Rules – Hands On
25 Amazon S3 – Event Notifications
26 Amazon S3 – Event Notifications – Hands On
27 Amazon S3 – Performance
28 Amazon S3 – Select & Glacier Select
29 Amazon S3 – Encryption
30 About DSSE-KMS
31 Amazon S3 – Encryption – Hands On
32 Amazon S3 – Default Encryption
33 Amazon S3 – Access Points
34 Amazon S3 – Object Lambda
35 Amazon EBS
36 Amazon EBS – Hands On
37 Amazon EBS Elastic Volumes
38 Amazon EFS
39 Amazon EFS – Hands On
40 Amazon EFS vs. Amazon EBS
41 Amazon FSx
42 Amazon FSx – Hands On
43 Amazon Kinesis Data Streams
44 Amazon Kinesis Data Streams – Producers
45 Amazon Kinesis Data Streams – Consumers
46 Amazon Kinesis Data Streams – Hands On
47 Amazon Kinesis Data Streams – Enhanced Fan Out
48 Amazon Kinesis Data Streams – Scaling
49 Amazon Kinesis Data Streams – Handling Duplicates
50 Amazon Kinesis Data Streams – Security
51 Amazon Kinesis Data Firehose
52 Kinesis Tuning and Troubleshooting
53 Amazon Managed Service for Apache Flink
54 Kinesis Analytics Costs; RANDOM_CUT_FOREST
55 Amazon MSK
56 Amazon MSK – Connect
57 Amazon MSK – Serverless
58 Amazon Kinesis vs. Amazon MSK

Data Transformation, Integrity, and Feature Engineering
59 Intro Data Transformation, Integrity, and Feature Engineering
60 Elastic MapReduce (EMR) and Hadoop Overview
61 Apache Spark on EMR
62 Feature Engineering and the Curse of Dimensionality
63 Lab Preparing Data for TF-IDF with Spark and EMR Studio, Part 1
64 Lab Preparing Data for TF-IDF with Spark and EMR Studio, Part 2
65 Imputing Missing Data
66 Dealing with Unbalanced Data
67 Handling Outliers
68 Binning, Transforming, Encoding, Scaling, and Shuffling
69 SageMaker Overview
70 Data Processing, Training, and Deployment with SageMaker
71 Amazon SageMaker Ground Truth and Label Generation
72 Amazon Mechanical Turk
73 SageMaker Data Wrangler
74 Demo SageMaker Studio, Canvas, and Data Wrangler
75 SageMaker Model Monitor and SageMaker Clarify
76 Partial Dependence Plots (PDPs), Shapley values, and SHAP
77 SageMaker Feature Store
78 AWS Glue
79 AWS Glue Studio
80 AWS Glue Data Quality
81 AWS Glue DataBrew
82 Demo Glue DataBrew
83 Handling PII in DataBrew Transformations

AWS Managed AI Services
84 Intro AWS Managed AI Services
85 Why AWS Managed Services
86 Amazon Comprehend
87 Amazon Comprehend – Hands On
88 Amazon Translate
89 Amazon Translate – Hands On
90 Amazon Transcribe
91 Amazon Polly
92 Amazon Rekognition
93 Amazon Forecast
94 Amazon Lex & Connect
95 Amazon Personalize
96 Amazon Textract
97 Amazon Textract – Hands On
98 Amazon Kendra
99 Amazon Augmented AI
100 Amazon Augmented AI – Hands On
101 Amazon’s Hardware for AI
102 Amazon’s Hardware for AI – Hands On
103 Amazon Lookout
104 Amazon Fraud Detector
105 Amazon Q Business
106 Amazon Q Business – Hands On
107 Amazon Q Apps
108 Amazon Q Apps – Hands On
109 Amazon Q Business – Hands On – Cleanup
110 Amazon Q Developer
111 Amazon Q Developer – Hands On

SageMaker Built-In Algorithms
112 Intro SageMaker Built-In Algorithms
113 Introducing Amazon SageMaker
114 SageMaker Input Modes
115 Linear Learner in SageMaker
116 XGBoost in SageMaker
117 Seq2Seq in SageMaker
118 DeepAR in SageMaker
119 BlazingText in SageMaker
120 Object2Vec in SageMaker
121 Object Detection in SageMaker
122 Image Classification in SageMaker
123 Semantic Segmentation in SageMaker
124 Random Cut Forest in SageMaker
125 Neural Topic Model in SageMaker
126 Latent Dirichlet Allocation (LDA) in SageMaker
127 K-Nearest-Neighbors (KNN) in SageMaker
128 K-Means Clustering in SageMaker
129 Principal Component Analysis (PCA) in SageMaker
130 Factorization Machines in SageMaker
131 IP Insights in SageMaker

Model Training, Tuning, and Evaluation
132 Intro Model Training, Tuning, and Evaluation
133 Introduction to Deep Learning
134 Activation Functions
135 Convolutional Neural Networks
136 Recurrent Neural Networks
137 Tuning Neural Networks
138 Regularization Techniques for Neural Networks (Dropout, Early Stopping)
139 L1 and L2 Regularization
140 The Vanishing Gradient Problem
141 The Confusion Matrix
142 Precision, Recall, F1, AUC, and more
143 Ensemble Methods Bagging and Boosting
144 Automatic Model Tuning (AMT) in SageMaker
145 Hyperparameter Tuning in AMT
146 SageMaker Autopilot AutoML
147 SageMaker Studio, SageMaker Experiments
148 SageMaker Debugger
149 SageMaker Model Registry
150 Analyzing Training Jobs with TensorBoard
151 SageMaker Training at Large Scale Training Compiler, Warm Pools
152 SageMaker Checkpointing, Cluster Health Checks, Automatic Restarts
153 SageMaker Distributed Training Libraries and Distributed Data Parallelism
154 SageMaker Model Parallelism Library
155 Elastic Fabric Adapter (EFA) and MiCS

Generative AI Model Fundamentals
156 Intro Generative AI Model Fundamentals
157 The Transformer Architecture
158 Self-Attention and Attention-Based Neural Networks
159 Applications of Transformers
160 Generative Pre-Trained Transformers How they Work, Part 1
161 Generative Pre-Trained Transformers How they Work, Part 2
162 Fine-Tuning and Transfer Learning with Transformers
163 Lab Tokenization and Positional Encoding with SageMaker Notebooks
164 Lab Multi-Headed, Masked Self-Attention in SageMaker
165 Lab Using GPT within a SageMaker Notebook
166 AWS Foundation Models and SageMaker JumpStart with Generative AI
167 Lab Using Amazon SageMaker JumpStart with Huggingface

Building Generative AI Applications with Bedrock
168 Intro Building Generative AI Applications with Bedrock
169 Building Generative AI with Amazon Bedrock and Foundation Models
170 Lab Chat, Text, and Image Foundation Models in the Bedrock Playground
171 Fine-Tuning Custom Models and Continuous Pre-Training with Bedrock
172 Retrieval-Augmented Generation (RAG) Fundamentals with Bedrock
173 Vector Stores and Embeddings with Amazon Bedrock Knowledge Bases
174 Implementing RAG with Amazon Bedrock Knowledge Bases
175 Lab Building and Querying a RAG System with Amazon Bedrock Knowledge Bases
176 Content Filtering with Amazon Bedrock Guardrails
177 Lab Building and Testing Guardrails with Amazon Bedrock
178 Building LLM Agents Agentic AI with Amazon Bedrock Agents
179 Lab Build a Bedrock Agent with Action Groups, Knowledge Bases, and Guardrails
180 Other Amazon Bedrock Features (Model Evaluation, Bedrock Studio, Watermarks)

Machine Learning Operations (MLOps) with AWS
181 Intro MLOps
182 Deployment Guardrails and Shadow Tests
183 SageMaker’s Inner Details and Production Variants
184 SageMaker On the Edge SageMaker Neo and IoT Greengrass
185 SageMaker Resource Management Instance Types and Spot Training
186 SageMaker Resource Management Automatic Scaling
187 SageMaker Deploying Models for Inference
188 SageMaker Serverless Inference and Inference Recommender
189 SageMaker Inference Pipelines
190 SageMaker Model Monitor
191 Model Monitor Data Capture
192 MLOps with SageMaker, Kubernetes, SageMaker Projects, and SageMaker Pipelines
193 What is Docker
194 Amazon ECS
195 Amazon ECS – Create Cluster – Hands On
196 Amazon ECS – Create Service – Hands On
197 Amazon ECR
198 Amazon EKS
199 Amazon EKS – Hands On
200 AWS CloudFormation
201 AWS CloudFormation – Hands On
202 AWS CDK
203 AWS CDK – Hands On
204 AWS CodeDeploy
205 AWS CodeBuild
206 AWS CodePipeline
207 Git Review Architecture and Commands
208 Gitflow, GitHub Flow
209 Amazon EventBridge
210 Amazon EventBridge – Hands On
211 AWS Step Functions
212 AWS Step Functions State Machines and States
213 Amazon Managed Workflows for Apache Airflow (MWAA)

Security, Identity, and Compliance
214 Intro Security, Identity, and Compliance
215 Principle of Least Privilege
216 Data Masking and Anonymization
217 SageMaker Security Encryption at Rest and in Transit
218 SageMaker Security VPC’s, IAM, Logging and Monitoring
219 IAM Introduction Users, Groups, Policies
220 IAM Users & Groups – Hands On
221 IAM Policies
222 IAM Policies – Hands On
223 IAM MFA
224 IAM MFA – Hands On
225 IAM Roles
226 IAM Roles – Hands On
227 Encryption 101
228 AWS KMS
229 AWS KMS – Hands On
230 Amazon Macie
231 AWS Secrets Manager
232 AWS Secrets Manager – Hands On
233 AWS WAF
234 AWS Shield
235 VPC, Subnets, Internet Gateway, NAT Gateway
236 NACL, Security Groups, VPC Flow Logs
237 VPC Peering, Endpoints, VPN, Direct Connect
238 VPC Cheat Sheet & Closing Comments
239 AWS PrivateLink

Management and Governance
240 Intro Management and Governance
241 Amazon CloudWatch – Metrics
242 Amazon CloudWatch – Logs
243 Amazon CloudWatch – Logs – Hands On
244 Amazon CloudWatch – Logs Unified Agent
245 Amazon CloudWatch – Alarms
246 Amazon CloudWatch – Alarms – Hands On
247 AWS X-Ray
248 AWS X-Ray – Hands On
249 Overview of Amazon Quicksight
250 Types of Visualizations, and When to Use Them
251 Amazon CloudTrail
252 Amazon CloudTrail – Hands On
253 AWS Config
254 AWS Config – Hands On
255 CloudWatch vs. CloudTrail vs. Config
256 AWS Budgets
257 AWS Budgets – Hands On
258 AWS Cost Explorer
259 AWS Trusted Advisor

Machine Learning Best Practices
260 Intro Machine Learning Best Practices
261 Designing ML Systems with AWS Responsible AI
262 ML Design Principles and Lifecycle
263 ML Business Goal Identification
264 Framing the ML Problem
265 Data Processing
266 Model Development
267 Deployment
268 Monitoring
269 AWS Well-Architected Machine Learning Lens

Wrapping Up
270 Intro Wrapping Up
271 Walkthrough of the Exam Guide
272 Additional Training Resources
273 Overview of the New Question Types (Ordering, Matching, Case Study)
274 What to Expect
275 Exam Walkthrough and Signup
276 Save 50% on your AWS Exam Cost!
277 Get an Extra 30 Minutes on your AWS Exam – Non Native English Speakers Only
278 AWS Certification Paths
279 Bonus Lecture