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AWS: Compute and Data Transfer

AWS: Compute and Data Transfer is the third course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course focuses on designing serverless solutions using AWS Lambda and AWS Serverless Application Model. It also focuses on running batch computing workloads using AWS Batch. This course describes AWS data transfer services to transfer files into and out of AWS storage services. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners. Module 1: Compute in AWS Module 2: Data Transfer in AWS By the end of this course, a learner will be able to: - Explore serverless features and best practices of AWS Lambda. - Enhance developer's experience in building and running serverless applications on AWS. - Describe methods to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in architecting complex solutions adopting a consumption-based (pay-per-use) model and have basic hands-on experience in scaling and migrating infrastructure.
Duration 7 Months
Institution Whizlabs
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Whizlabs.

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Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $266
Total Est. Investment $266

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the AWS: Compute and Data Transfer program at Whizlabs are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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