AWS Certified Machine Learning Engineer - Associate MLA-C01

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Nikolai Schuler

25:50:25

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1 - Introduction

1 -Welcome!.mp4

02:13

2 -About the exam & this course.mp4

07:59

3 -Important tips for this course.mp4

02:28

4 -All Slides.pdf

4 - All Slides.html

2 - SageMaker Basics & Setup

1 -AWS Free Tier Account ML.mp4

06:18

3 -SageMaker Notebooks.mp4

06:37

4 -Setting Up SageMaker Notebook Instance.mp4

06:58

5 -Basic Operations in SageMaker Notebook Instance.mp4

09:17

6 -SageMaker Studio Setting Up Domain & Users.mp4

08:08

7 -SageMaker Studio Overview.mp4

08:56

8 -AWS Budgets Machine Learning.mp4

06:32

3 - SageMaker Data Ingestion & Feature Engineering

1 -Data Preparation with Data Wrangler.mp4

04:38

2 -Import data using Data Wrangler.mp4

07:07

3 -Data Wrangler - Get Insights.mp4

05:56

4 -Data Wrangler Transform Data.mp4

09:55

5 -Export Data in Data Wrangler.mp4

06:58

6 -Stop Running Instances.mp4

02:08

7 -Understanding Feature Engineering.mp4

10:21

8 -SageMaker Feature Store.mp4

05:24

9 -Feature Store - Creating Features & Feature Group.mp4

09:58

10 -SageMaker Notebooks- Setting up Features.mp4

09:13

10 -income data.csv

10 -sagemaker feature store notebook with docs.zip

11 -SageMaker Ground Truth.mp4

06:25

12 -Create Labeling Jobs in Groud Truth.mp4

14:27

12 -image.zip

13 -Setting up Groud Truth Workforce.mp4

06:53

14 -Ground Truth Plus.mp4

01:30

4 - SageMaker Training & Hyperparameter Tuning

1 -Training with Built-in Algorithms.mp4

03:08

2 -SageMaker JumpStart.mp4

06:17

3 -Deploy a Model Using JumpStart.mp4

11:31

4 -Training Models - Potential Paths.mp4

09:00

5 -Employee.csv

5 -Prepare The Training Of The Model.mp4

11:10

5 -sagemaker employee attrition demo.zip

6 -Train Model.mp4

07:10

7 -Reviewing the Trained Model.mp4

02:26

8 -Model Tuning & Hyperparameters.mp4

04:38

9 -Hyperparamter Optimization Techniques.mp4

05:07

10 -Hyperparameter Tuning.txt

10 -Hyperparameter Tuning in Notebooks.mp4

08:29

11 -Hyperparameter Tuning in the UI.mp4

08:29

12 -SageMaker Canvas.mp4

06:54

14 -SageMaker Canvas Predict & Deploy.mp4

05:41

15 -Custom Training Script.mp4

06:49

16 -Custom Docker Containers.mp4

04:07

17 -Distributed Training.mp4

06:51

5 - SageMaker Experiment Tracking & Debugging

1 -SageMaker Experiments.mp4

07:55

2 -MLflow.zip

2 -MLflow Setting Up Tracking Server.mp4

08:05

3 -MLflow Setup Experiment.mp4

05:08

4 -MLflow Track & Record Experiments.mp4

11:48

5 -SageMaker Neo.mp4

05:34

6 - SageMaker Clarify & Responsible AI

1 -Challenges of Responsible Al.mp4

04:14

2 -Strategies Against Bias & Variance.mp4

03:55

3 -SageMaker Clarify.mp4

06:23

4 -Employee.csv

4 -SageMaker Clarify Pre-Training Analysis.mp4

10:33

4 -sagemaker clarify demo.zip

5 -SageMaker Clarify Review Pre-Training Analysis.mp4

06:49

6 -SageMaker Clarify Model Bias Analysis.mp4

09:32

7 -SageMaker Clarify Explainability Report.mp4

09:07

7 - SageMaker Debugging & Deployment

1 -SageMaker Debugger.mp4

04:13

2 -SageMaker Debugger (Hands-on).mp4

15:32

2 -sagemaker debugger demo.zip

3 -Model Deployment Strategies in SageMaker.mp4

05:28

4 -Deploy Real-Time Inference Endpoint.mp4

06:46

4 -sagemaker model deployment examples.zip

5 -Deploying Endpoint using Model Artifact.mp4

03:20

6 -Serverless Inference Endpoint.mp4

02:26

7 -Deploy Using Batch Transform.mp4

05:24

8 -Deploy as Asynchronous Inference Endpoint.mp4

07:30

9 -Multi-Model & Multi-Container Endpoints in SageMaker.mp4

04:30

10 -Deploying a Multi-Model Endpoint.mp4

06:53

8 - SageMaker Monitoring Models

1 -Monitoring Models.mp4

04:17

2 -SageMaker Model Monitor.mp4

02:51

3 -Monitoring Data Quality in SageMaker.mp4

05:58

4 -Monitor Model Quality with SageMaker.mp4

05:10

5 -ModelMonitoring.zip

5 -Model Monitoring Create a Baseline.mp4

10:44

6 -SageMaker Monitor Create a Schedule.mp4

07:46

9 - SageMaker Pipelines & Model Registry

1 -SageMaker Pipelines.mp4

04:58

2 -SageMaker Pipelines (Hands-on).mp4

11:04

2 -sagemakerpipelines.zip

3 -Model Registry.mp4

04:40

4 -SageMaker Model Registry.mp4

04:00

10 - Machine Learning Concepts

1 -Understanding Machine Learning Models.mp4

07:48

2 -Supervised Learning.mp4

09:05

3 -Unsupervised Learning.mp4

06:17

4 -Text Analysis Algorithms.mp4

04:46

5 -Image Classification.mp4

05:31

6 -Reinforcement Learning.mp4

05:08

7 -Reinforcement Learning with SageMaker.mp4

03:46

8 -Model Evaluation Concepts.mp4

04:32

9 -Performance Evaluation Metrics.mp4

06:24

10 -Machine Learning Development Lifecycle.mp4

07:59

11 -MLOps.mp4

08:25

11 - AWS Machine Learning Services

1 -What is Amazon Bedrock.mp4

08:25

2 -Amazon Bedrock - Architecture.mp4

04:09

3 -Amazon Bedrock - Use Cases.mp4

02:17

4 -Hands-on Exploring Amazon Bedrock.mp4

09:15

5 -Hands-on Installing Visual Studio Code.mp4

01:47

6 -Hands-on Setting up Visual Studio Code.mp4

07:12

7 -Hands-on Invoking Amazon Titan Model.mp4

07:55

8 -Hands-on Image Generation in Bedrock.mp4

07:11

9 -Amazon Personalize.mp4

02:28

10 -Dataset.csv

10 -Hands-on Dataset Group (Amazon Personalize).mp4

13:12

10 -Movies Data with Year.csv

10 -S3Policy.txt

10 -Users Data.csv

11 -Hands-on Training Dataset (Amazon Personalize).mp4

03:46

12 -Hands-on Train Model (Amazon Personalize).mp4

06:09

13 -Hands-on Make Predictions (Amazon Personalize).mp4

07:00

14 -Amazon Fraud Detector.mp4

06:51

15 -Setup & Event Type (Amazon Fraud Detector).mp4

12:09

15 -test dataset.csv

15 -train dataset.csv

16 -Build & Train Model (Amazon Fraud Detector).mp4

05:23

17 -Evaluate our Model (Amazon Fraud Detector).mp4

09:07

18 -Create Detector & Make Predictions (Amazon Fraud Detector).mp4

10:03

19 -Cleaning up Resources (Amazon Fraud Detector).mp4

06:52

20 -Amazon Augmented AI.mp4

04:12

21 -Amazon Comprehend.mp4

07:17

22 -Hands-on Amazon Comprehend.mp4

06:42

23 -Amazon Comprehend Medical Hands on.mp4

05:18

24 -Amazon Rekognition.mp4

03:06

25 -Hands-on Amazon Rekognition.mp4

05:14

26 -Hands-on Using Rekognition in Lambda Function.mp4

10:11

27 -Amazon Textract.mp4

06:35

28 -Hands-on Amazon Textract.mp4

08:15

29 -Amazon Kendra.mp4

06:27

30 -Employee Onboarding Guide.pdf

30 -Hands-on Create an Index & Sync (Amazon Kendra).mp4

10:42

31 -Hands-on Create Experience (Amazon Kendra).mp4

08:33

12 - Data Ingestion

1 -AWS S3 - Basics.mp4

08:44

2 -Create a Bucket in S3 (Hands-on).mp4

04:19

3 -Uploading files to S3 (Hands-on).mp4

02:16

3 -customers.csv

4 -Streaming vs Batch Ingestion.mp4

02:56

6 -Setting Up Crawlers (Hands-on).mp4

11:08

13 - Querying with Athena

1 -AWS Athena - Overview.mp4

04:20

2 -Query data using Athena (Hands-on).mp4

05:16

3 -Federated Queries.mp4

02:18

4 -Performance & Cost.mp4

10:06

5 -Workgroups.mp4

03:04

6 -Workgroups (Hands-on).mp4

02:49

14 - AWS Data Processing Services

1 -Glue Costs.mp4

07:34

2 -Run Glue ETL Jobs (Hands-on).mp4

13:19

3 -Scheduling Crawlers & ETL Jobs (Hands-on).mp4

03:36

4 -Stateful vs Stateless.mp4

05:10

5 -Stateless Data Ingestion in Glue (Hands-on).mp4

03:49

5 -customers2.csv

6 -Stateful Ingestion with Bookmarks (Hands-on).mp4

05:10

6 -customers2.csv

7 -Glue Transformations (ETL).mp4

05:09

8 -Glue Data Quality (Hands-on).mp4

05:45

9 -Glue Workflows.mp4

04:33

10 -Glue Workflows - (Hands-on).mp4

07:33

11 -Glue Job Types.mp4

06:43

12 -Glue Job Types (Hands-on).mp4

02:32

13 -Partitioning.mp4

02:55

14 -AWS Glue DataBrew.mp4

06:17

15 -AWS Glue DataBrew - Transformations.mp4

07:43

16 -AWS Glue DataBrew (Hands-On).mp4

10:09

17 -AWS Lambda.mp4

07:07

18 -Event Lambda Function.txt

18 -Event-Driven Ingestion with AWS Lambda (Hands-on).mp4

10:07

18 -customers.csv

19 -Lambda Layers.mp4

04:13

20 -Replayability.mp4

05:57

21 -Amazon Kinesis for Streaming Data.mp4

03:34

22 -Amazon Kinesis Data Streams.mp4

12:11

23 -Throughput and Latency.mp4

04:20

24 -Creating a Data Stream (Hands-on).mp4

05:05

25 -Enhanced Fan-Out for Kinesis Consumers.mp4

05:25

26 -KinesisStream.txt

26 -Pull and Consume Data From Stream (Hands-on).mp4

08:53

27 -Calling a Lambda Function From Amazon Kinesis (Hands-on).mp4

08:53

27 -LambdaFunctionKinesis.txt

28 -Common Issues & Troubleshooting.mp4

10:53

29 -Kinesis Firehose.mp4

12:32

30 -Creating Data Firehose Stream (Hands-on).mp4

07:02

31 -Data Firehose - Transformations with Lambda (Hands-on).mp4

07:54

32 -Amazon Managed Service for Apache Flink.mp4

08:31

33 -Amazon MSK.mp4

09:07

34 -MSK Connect & MSK Serverless.mp4

02:49

35 -Amazon EMR.mp4

12:11

36 -AWS EMR Cluster Types & Storage.mp4

05:54

37 -AWS EMR Storage & Scaling.mp4

03:48

38 -AWS EMR Deployment Options.mp4

03:33

15 - AWS Storage Solutions

1 -Importance of Partitioning.mp4

03:07

2 -Partitioning with Glue (Hands-on).mp4

11:46

2 -sales data files.zip

3 -Lifecycle Management & Storage Classes.mp4

10:18

4 -Using Lifecycle Rules.mp4

01:37

5 -Storage Classes (Hands-on).mp4

05:03

5 -gpt-4.pdf

6 -Intelligent Tiering (Hands-on).mp4

04:13

7 -Lifecycle Rules (Hands-on).mp4

04:39

8 -Versioning in S3.mp4

05:56

9 -FilesUsed.zip

9 -Versioning (Hands-on).mp4

10:08

10 -Replication.mp4

06:37

11 -Replication (Hands-on).mp4

06:38

11 -sensor data.zip

11 -supermarket sales.csv

12 -Security in S3.mp4

06:28

13 -Security (Hands-on).mp4

04:12

14 -Bucket Policies.mp4

02:26

15 -Access Points in S3.mp4

02:32

16 -Object Lambda.mp4

03:30

17 -S3 Event Notifications.mp4

04:49

17 -bucketpolicy.zip

18 -S3 Event Notifications (Hands-on).mp4

08:49

19 -S3 Select & Glacier Select.mp4

03:57

19 -customers.csv

19 -customers2.csv

20 -S3 Select (Hands-on).mp4

04:55

21 -Data Mesh.mp4

03:51

22 -Data Exchange.mp4

02:34

23 -Amazon Elastic Block Store (EBS).mp4

06:41

24 -EBS Provisioning.mp4

09:24

25 -EBS Volumes (Hands-on).mp4

09:01

26 -Amazon Elastic File System (EFS).mp4

07:51

16 - AWS Security and Compliance

1 -IAM Overview.mp4

02:33

2 -IAM Users, Groups & Role.mp4

05:11

3 -IAM Policies.mp4

08:30

5 -IAM Policies (Hands-on).mp4

06:00

6 -IAM Create Groups & Roles (Hands-on).mp4

05:14

7 -AWS KMS Overview.mp4

08:54

8 -AWS KMS Key Management & Pricing.mp4

04:25

9 -AWS KMS Cross-Region & Cross-Account.mp4

08:00

10 -AWS Macie.mp4

02:45

11 -AWS Secrets.mp4

05:36

12 -AWS Secrets (Hands-on).mp4

05:20

13 -AWS Shield.mp4

03:13

14 -Virtual Private Cloud & Subnets.mp4

02:58

15 -Gateways.mp4

02:26

16 -VPN & VPC Peering.mp4

02:33

17 -Security Groups & NACLs.mp4

01:19

18 -Additional VPC features.mp4

01:23

19 -AWS CloudTrail.mp4

08:09

20 -AWS CloudTrail Lake.mp4

01:41

21 -AWS Config.mp4

06:26

22 -AWS Config (Hands-on).mp4

07:19

23 -AWS Well-Architected Framework.mp4

04:54

24 -AWS Well-Architected Tool.mp4

04:47

17 - AWS Deployment and Orchestration Services

1 -AWS CloudFormation.mp4

05:11

2 -AWS CloudFormation (Hands-on).mp4

09:03

2 -example.zip

3 -Docker Containers.mp4

08:38

4 -Amazon ECS.mp4

05:39

5 -Amazon ECS - Launch Types.mp4

08:41

6 -Amazon ECS - IAM Roles.mp4

02:00

7 -Amazon ECR.mp4

04:46

8 -Amazon EKS.mp4

07:34

18 - AWS Monitoring and Cost Management Tools

1 -Amazon CloudWatch Overview.mp4

05:32

2 -Amazon CloudWatch Metrics (Hands-on).mp4

06:22

3 -Amazon CloudWatch Metrics Stream.mp4

02:36

4 -Amazon CloudWatch Alarms.mp4

04:51

5 -CloudWatch Alarms (Hands-on).mp4

04:51

6 -Amazon CloudWatch Logs.mp4

03:31

7 -CloudWatch Logs (Hands-on).mp4

03:31

8 -Amazon CloudWatch Log Filtering & Subscription.mp4

04:13

9 -Amazon CloudWatch Logs Agent.mp4

02:15

19 - AWS AI Services

1 -What is Amazon Q Business.mp4

08:29

2 -Hands-on Create Amazon Q Business Application.mp4

14:09

2 -Sample Employee Dataset.csv

3 -Hands-on Assign Users & Test Application.mp4

07:41

4 -Hands-on Using Global Controls.mp4

06:24

5 -Hands-on Blocking Words.mp4

02:40

6 -Hands-on Topic Controls.mp4

06:45

7 -Amazon Transcribe.mp4

08:11

8 -Hands-on Amazon Transcribe.mp4

11:22

9 -Amazon Polly.mp4

03:13

10 -Hands-on Pricing & Models (Amazon Polly).mp4

05:10

11 -Hands-on Text-to-Speech (Amazon Polly).mp4

04:02

12 -Hands-on SSML to modify speech output (Amazon Polly).mp4

05:16

13 -Hands-on Real-time translation (Amazon Translate).mp4

06:09

14 -Hands-on Batch job translation (Amazon Translate).mp4

10:11

14 -Translate.zip

20 - Practice Exam, Exam Tips & Scheduling

1 -Exam Signup & Get 30min more time!.mp4

08:10

2 -Final Exam Tips.mp4

07:26

Description

The ONLY course you need to PASS the AWS Certified Machine Learning Engineer Exam | MLA-C01 | Incl. FULL Practice Exam!

What You'll Learn?

PASS the AWS Certified Machine Learning Engineer Associate Exam (MLA-C01)
Full Practice Exam incl. Full Explanations to ACE the exam
All Slides available as downloadable PDFs
All Topics Covered & 100% up-to-date
Hands-on Demos with Real-World Scenarios
Start your Machine Learning Career
Build, Train & Deploy Machine Learning Models in Amazon SageMaker
Data Ingestion and Preprocessing with SageMaker Data Wrangler
Full Machine Learning Pipelines with SageMaker & Much More
Master the Full Machine Learning Lifecycle with Real-World Skills

Who is this for?

Aspiring Machine Learning Engineers looking to get certified and kickstart their ML careers

Data Scientists, Data Engineers, Developers, and IT Professionals

Professionals seeking to expand their knowledge of Machine Learning on AWS

What You Need to Know?

No previous experience with AWS or Machine Learning is needed!

More details

Description
The ONLY course you need to prepare and PASS the AWS Certified Machine Learning Engineer â€“ Associate exam (MLA-C01) and become an AWS Certified Machine Learning Engineer â€“ Associate!
Make your exam preparation and learning Machine Learning on AWS fun, easy, and highly effective with real-life hands-on projects, quizzes, and a full practice exam!
This course teaches you every single topic you need to master the exam with ease.

Why is this the ONLY course you need to pass the AWS Certified Machine Learning Engineer exam?
Every single topic is covered in depth
100% up-to-date!
Hands-On & Practical
Full practice exam including all explanations
Practical &Â Real-World Skills
Tips for success
This course guides you step-by-step to prepare in the best possible way for the exam
Donâ€™t waste your time but focuses on what really matters to master the exam!

This course guides you step-by-step to prepare in the best possible way for the exam and start your successful career in machine learning!

Your Instructor
Hi, my name is Nikolai, and I am AWSÂ Certified and I teach AWS and data analytics in over 200 countries. My mission with this course is to take the stress out of your exam prep, make it fun but very effective to maximize your preparation time. I want to make sure you have the best chances of succeeding and moving your career forward with the AWS Machine Learning Engineer certification in your professional journey.

Enroll Now and Get:

Lifetime Access including all future updates
High quality video content
All slides & project files as downloadable resources
Full practice exam with explanations
Tipps for success &Â expert-level support
30-day money-back guarantee (no-questions-asked!)

Become an Expert & Learn the Full Machine Learning Lifecycle in AWS:

PASS the AWS Certified Machine Learning Engineer exam
Master Machine Learning on AWS and become an expert
Build, train, and deploy machine learning models with SageMaker
Orchestrate ML workflows with SageMaker Pipelines
Perform data ingestion and transformation with SageMaker Data Wrangler and AWS Glue
Use SageMaker Feature Store for feature engineering
Deploy models using real-time, batch, and serverless inference
Monitor models in production with SageMaker Model Monitor
Debug and optimize models with SageMaker Debugger and Profiler
Implement responsible AI practices with SageMaker Clarify
Understand AWS storage and data processing services relevant to ML
Secure your ML workflows with IAM, KMS, and VPCs
Implement CI/CD pipelines for ML using SageMaker and AWS CodePipeline
Optimize costs and monitor ML workloads with CloudWatch and AWS Cost Management tools
And much more!

Whether youâ€™re new to machine learning or looking to expand your AWS expertise, this course offers everything you needâ€”practical labs, a full practice exam, and up-to-date content that covers every aspect of Machine Learning on AWS.

Take this chance today â€” this can be your first step into a successful machine learning engineering career!
Looking forward to seeing you inside the course!
Who this course is for:
Aspiring Machine Learning Engineers looking to get certified and kickstart their ML careers
Data Scientists, Data Engineers, Developers, and IT Professionals
Professionals seeking to expand their knowledge of Machine Learning on AWS

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Amazon AWS

Nikolai Schuler

Instructor's Courses

Are you thinking about pursuing a career as a Data Analyst or Data Scientist?Do you ever think that your career could take a leap forward if you would have more knowledge and skills in the world of data? Perhaps you are even feeling overwhelmed by the number of courses available or by the fact that your life is already too full to concentrate on one more course?I am Nikolai Schuler, I am a data scientist and BI consultant, and I have been there too... A few years ago I noticed that the world of data benefits from many new tools and technologies. However, I also realized that it is extremely difficult to get trained in the field: Practical courses with real quality content are rare and are often structured in such a way that they are incompatible with a working life full of other tasks and activities. While going through hours of research and training, I came up with the idea of creating a course that would offer extremely valuable content but that would be at the same time easy to follow due to its structure. My goal is to help as many people as possible to pursue their desired career in this new Digital Age by enabling them to upgrade their data analysis skills. I am proud to say that I am heading in the right direction as my courses have already found their audience in over 170 countries and received thousands of positive feedbacks.I am super excited about equipping you with the skillset to master Data Science and Data Analytics! If you are looking for quality AND approachable training, then jump onboard! I am really looking forward to leveling up your IT skills.-- German version --In meiner Arbeit als Data Scientist sehe ich, dass in der heutigen Zeit neue Tools riesige Vorteile bringen und sie nicht mehr wegzudenken sind. Allerdings sehe ich auch, dass es nicht immer leicht ist, sich neben der täglichen Arbeit in diese neuen Tools einzuarbeiten.Mir selbst ist es auch schwer gefallen Kurse zu finden, die einerseits qualitativ hochwertig und andererseits verständlich und gut strukturiert sind.Aus diesem Grund habe ich mich dazu entschlossen, selbst strukturierte und praxisorientierte Kurse zu erstellen.Da ich sowohl für einfache Anwender als auch für Datenspezialisten Einweisungen in Power BI und anderen Tools gebe, bin ich einerseits technischer Spezialist, habe aber andererseits auch ein gutes Gefühl für die, die nicht die reinen Datenspezialisten sind.Mir zu überlegen, wie man das Wissen wirklich sinnvoll und verständlich vermitteln kann, ist das, was mir dabei Freude macht.

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