AWS Certified Data Engineer Associate 2024

NEW: Now includes a full-length practice exam.

The AWS Certified Data Engineer Associate Exam (DEA-C01 or DE1-C01) is one of the most challenging associate-level certification exams you can take from Amazon Web Services, and even among the most challenging overall. Passing it tells employers in no uncertain terms that your knowledge of data pipelines is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the data ingestion, transformation, and orchestration technologies on the exam and how they fit together.

Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we've seen. Together, they've taught over 2 million people around the world. This course combines Stéphane's depth on AWS with Frank's experience in wrangling massive data sets, gleaned during his 9-year career at Amazon itself.

The world of data engineering on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:

Streaming and transforming data with Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK)
Queuing messages with Simple Queue Service (SQS)
Orchestrating data pipelines with Amazon AppFlow, Amazon EventBridge, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA)
Transitioning from small to big data with the AWS Database Migration Service (DMS), AWS DataSync, Snow Family, Transfer Family, and more
Storing massive data lakes with the Simple Storage Service (S3) and managing data lifecycles
Optimizing transactional queries with DynamoDB, DocumentDB, Keyspaces, and MemoryDB
Tying your big data systems together with AWS Lambda
Making unstructured data query-able with AWS Glue, Glue DataBrew, and Lake Formation
Processing data at unlimited scale with Elastic MapReduce, including Apache Spark
Applying advanced machine learning algorithms at scale with Amazon SageMaker
Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
Querying S3 data lakes with Amazon Athena
Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
Integrating smaller data with your big data, using the Relational Database Service (RDS)
Keeping your data secure with encryption, KMS, Macie, Secrets Manager, IAM, and more
Managing and governing your systems with CloudFormation, CloudTrail, CloudWatch, AWS Config, and more

Throughout the course, you'll have lots of opportunities to reinforce your learning with hands-on demos, a full-length practice exam, and additional practice questions. We'll also arm you with some valuable test-taking tips and strategies along the way.

Although this is an associate-level exam, it is one of the more challenging ones. AWS recommends having a few years of both data engineering experience and AWS experience before tackling it. This exam is not intended for AWS beginners.

You want to go into the AWS Certified Data Engineer Associate Exam with confidence, and that's what this course delivers. Hit the enroll button, and we're excited to see you in the course... and ultimately to see you get your certification.

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Instructor

My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.

I have already taught

With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Data Analytics Professional. So, let’s kick start the course. You are in good hands.

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Instructor

Hey, I'm Frank Kane, and I'm also co-instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I'm best known for my top-selling courses in "big data", data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch.

I've been teaching on Udemy since 2015, where I've reached over 800,000 students all around the world.

I've worked hard to keep this course up to date with the latest developments in AWS data engineering, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready.

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This course also comes with:

Lifetime access to all future updates
A responsive instructor in the Q&A Section
Udemy Certificate of Completion Ready for Download
A 30 Day "No Questions Asked" Money Back Guarantee.

Join us in this course if you want to pass the AWS Certified Data Engineer - Associate Exam DEA-C01 and master the AWS platform.

What's inside

Learning objectives

Maximize your odds of passing the aws certified data engineer - associate (dea-c01) exam
Design and implement data pipelines with aws to ingest, store, and transform data
Choose and design data stores, data models, data schemas, and data lifecycles.
Maintain, operationalize, and orchestrate data pipelines with eventbridge, airflow, aws step functions,, and more

Apply security, governance, and privacy best practices to your aws data pipelines.
Create data lakes with s3, glue, redshift and more
Process batch and streaming data with kinesis, emr, containers, lambda, and more

Maximize your odds of passing the aws certified data engineer - associate (dea-c01) exam
Design and implement data pipelines with aws to ingest, store, and transform data
Choose and design data stores, data models, data schemas, and data lifecycles.
Maintain, operationalize, and orchestrate data pipelines with eventbridge, airflow, aws step functions,, and more
Apply security, governance, and privacy best practices to your aws data pipelines.
Create data lakes with s3, glue, redshift and more
Process batch and streaming data with kinesis, emr, containers, lambda, and more

Syllabus

Introduction

Course Overview - Services we will Cover

Get the Course Materials

Udemy 101

The following three coding exercises allow you to practice solving SQL problems in a hands-on environment!

However, we have heard feedback from some students that Udemy's SQL workspace can be unreliable at times, timing out even on simple queries. If you encounter technical problems, please let Udemy support know. You can visit https://support.udemy.com/hc/en-us/articles/229606768-Learning-With-Coding-Exercises and click on the "Contact Us" button. After some screening from a chatbot, you should be able to file a trouble ticket describing the problem.

Check your learning from our overview of the data engineering fundamentals called out on the AWS exam guide.

Test your knowledge of AWS storage services and how they relate to data engineering pipelines.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers in-demand topics, such as Amazon S3, DynamoDB, and Redshift

Provides guidance for the AWS Certified Data Engineer - Associate Exam, which can be beneficial for career advancement

Offers practical application through hands-on demos and practice questions

Instructors are experienced professionals with industry expertise

Content is up-to-date with the latest developments in AWS data engineering

Course includes lifetime access to future updates, ensuring learners stay current

Reviews summary

Comprehensive aws data engineering certification

According to students, this course is a highly comprehensive and hands-on resource designed for the challenging AWS Certified Data Engineer Associate exam. Learners frequently highlight the exceptional expertise of the dual instructors, Stéphane Maarek and Frank Kane, making complex AWS data services understandable. The course's strong emphasis on practical labs and demonstrations is a key positive, providing invaluable experience for certification and real-world application. While the course is praised for its up-to-date content and thorough exam preparation materials, including a full-length practice exam, some caution that it assumes prior AWS and data engineering experience, reiterating that it's not suitable for absolute beginners.

Regularly updated to reflect the latest AWS changes.

"I was impressed by how current the content was, reflecting the latest AWS service updates and exam changes."

"It's great to see a course that keeps pace with the rapid evolution of AWS, ensuring the information is always relevant."

"The instructors make an effort to update the modules, which is vital for an AWS certification course like this."

Abundant practical exercises and demonstrations reinforce learning.

"The hands-on labs were extremely helpful; I learned so much by actually doing the configurations and seeing the services in action."

"I loved the practical demos; they are crucial for solidifying understanding and remembering concepts for the exam."

"The active learning through labs made a significant difference in my preparation and confidence with AWS data tools."

Thoroughly covers exam objectives with practice materials.

"This course covered every single topic on the DEA-C01 exam blueprint, leaving no stone unturned."

"The practice exam and additional questions were indispensable for my success in passing the certification."

"I felt fully prepared for the AWS Certified Data Engineer Associate exam thanks to the breadth and depth of the content."

Led by highly experienced and knowledgeable AWS experts.

"The combination of Frank Kane's deep data engineering background and Stéphane Maarek's AWS expertise is truly unparalleled."

"I found the instructors to be incredibly knowledgeable and effective in explaining complex AWS data services."

"Their teaching style is clear, engaging, and they break down difficult concepts into digestible parts, which I really appreciated."

Technical issues encountered with the in-platform SQL exercises.

"The Udemy SQL workspace was sometimes unreliable; I encountered timeouts during the practice queries."

"I had some technical problems with the SQL coding exercises, which interrupted my flow but were resolvable by using external tools."

"While the SQL review itself was useful, the platform's coding environment could be frustrating at times."

Requires prior AWS and data engineering experience.

"As stated in the course description, this is definitely not for beginners; I struggled initially without prior AWS knowledge."

"I recommend having a solid foundation in both AWS and data engineering concepts before attempting this course."

"It moves at a fast pace, assuming you have some background, so come prepared with your existing experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AWS Certified Data Engineer Associate 2024 - Hands On! with these activities:

Review SQL Syntax

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Refresh your SQL syntax by completing exercises and reviewing documentation to help you prepare for this course.

Browse courses on SQL

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Review basic SQL syntax, including SELECT, INSERT, UPDATE, and DELETE statements
Practice writing SQL queries to retrieve and manipulate data
Review additional SQL syntax as needed to prepare for the course

Compile a Collection of AWS Data Engineering Tools and Resources

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Strengthen your knowledge base by gathering and organizing a comprehensive list of AWS data engineering tools and resources that you can refer to throughout your learning journey.

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Research and identify AWS data engineering tools
Gather information on each tool, including its purpose, benefits, and use cases
Create a spreadsheet or document to organize the resources

Build a Data Lake with AWS Lake Formation

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Enhance your data lake skills by following a guided tutorial on building and managing a data lake using AWS Lake Formation.

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Set up AWS Lake Formation
Create a data lake
Add data to the data lake
Query data using Athena

Four other activities

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Practice Data Pipeline Design with AWS CLI

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Reinforce your understanding of data pipeline design by practicing with the AWS CLI, which is essential for real-world data engineering tasks.

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Set up your AWS CLI environment
Create an S3 bucket for data storage
Create a DynamoDB table for data storage
Use the AWS CLI to copy data from S3 to DynamoDB
Use the AWS CLI to query data from DynamoDB

Join a Study Group for Data Pipeline Optimization

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Enhance your understanding by collaborating with peers in a study group dedicated to exploring techniques and best practices for optimizing data pipelines.

Browse courses on Data Pipeline Optimization

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Find or create a study group
Establish a regular meeting schedule
Discuss optimization techniques
Share knowledge and experience

Design and Implement a Data Pipeline for a Real-World Dataset

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Apply your knowledge and solidify your understanding by designing and implementing a data pipeline that addresses a real-world business problem.

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Identify a data source
Design the data pipeline
Implement the data pipeline
Evaluate the data pipeline

Mentor Junior Data Engineers on Data Engineering Fundamentals

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Reinforce your own understanding and solidify your knowledge by guiding and assisting junior data engineers in grasping the fundamentals of data engineering.

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Identify opportunities to mentor
Prepare materials and topics
Provide guidance and support

Career center

Learners who complete AWS Certified Data Engineer Associate 2024 - Hands On! will develop knowledge and skills that may be useful to these careers:

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AWS Certified Data Engineer Associate 2024 - Hands On!

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive aws data engineering certification

Activities

Career center

Reading list

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