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AWS Data Engineering Course Certification Info

The Data Engineering with AWS Course, spanning over 90 hours, provides participants with comprehensive knowledge about AWS services dedicated to data engineering. The course focuses on practical skills that can be applied in real-world situations. Our Data Engineering with AWS Course goes beyond theoretical concepts, providing practical, hands-on experience with AWS services.

Graduates possess a deep knowledge of data engineering in the AWS cloud environment, and they are fully prepared to design strong and reliable solutions for organizations. Get our AWS Data Engineering Course with flexible payment options, a detailed syllabus, and certification included.

Take your career to new heights by mastering data engineering on the AWS cloud! Our AWS Data Engineering Course provides training for beginners and professionals of all levels. Enroll in this course to learn how to navigate the AWS cloud environment.

Develop the necessary expertise to design and implement data engineering solutions with complete confidence. Join now and unlock the unlimited potential of AWS data engineering for your career growth!

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world applications should be incorporated throughout the sessions to reinforce learning.

AWS Data Engineering Course Content

Lesson 1: Overview of AWS services
Lesson 2: Cloud computing models: IaaS, PaaS, SaaS
Lesson 3: AWS global infrastructure and availability zones

Lesson 1: AWS Console walkthrough
Lesson 2: Key AWS services for data engineering: EC2, S3, Glue, Lambda
Lesson 3: AWS Identity and Access Management (IAM) basics

Lesson 1: Introduction to Amazon S3
Lesson 2: Bucket creation and management
Lesson 3: S3 storage classes and data lifecycle

Lesson 1: Understanding AWS Glue for data cataloging
Lesson 2: Building ETL jobs with AWS Glue
Lesson 3: Integrating Glue with S3 for data retrieval

Lesson 1: Overview of AWS Elastic MapReduce (EMR)
Lesson 2: Configuring EMR clusters for distributed processing
Lesson 3: Running data processing tasks on EMR

Lesson 1: Introduction to serverless computing
Lesson 2: Creating serverless functions with AWS Lambda
Lesson 3: Integrating Lambda with other AWS services

Lesson 1: Designing comprehensive data pipelines
Lesson 2: Connecting AWS services for seamless data flow
Lesson 3: Best practices for pipeline architecture

Lesson 1: Understanding Amazon Kinesis for real-time data
Lesson 2: Setting up Kinesis streams and shards
Lesson 3: Implementing data streaming solutions

Lesson 1: Applying acquired skills to a real-world project
Lesson 2: Designing and implementing a data solution using AWS services
Lesson 3: Project presentation and feedback

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