Movatterモバイル変換


[0]ホーム

URL:


DeepLearning.AI
Amazon Web Services
DeepLearning.AI Data Engineering Professional Certificate

Heat up your career with 40% off top courses from Google, Adobe, and more.Save today.

DeepLearning.AI
Amazon Web Services

DeepLearning.AI Data Engineering Professional Certificate

Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems.

Joe Reis

Instructor:Joe Reis

Top Instructor

20,707 already enrolled

Earn a career credential that demonstrates your expertise
4.8

(455 reviews)

Intermediate level

Recommended experience

Recommended experience

Intermediate level

This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills.

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.8

(455 reviews)

Intermediate level

Recommended experience

Recommended experience

Intermediate level

This program is for beginners in the field of data engineering. The only prerequisite knowledge is intermediate Python programming skills.

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop a mental model for the field of data engineering as a whole, including the data engineering lifecycle and its undercurrents.

  •  Learn a framework for approaching any data engineering project you work on so you can effectively create business value with data.

  • Build your skill in the five stages of the data engineering lifecycle; including generating, ingesting, storing, transforming, and serving data.

  • Learn the principles of good data architecture and apply them to build data systems on the AWS cloud.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Professional Certificate - 4 course series

What you'll learn

  • Gain a comprehensive understanding of the data engineering lifecycle and its undercurrents

  • Gather stakeholder needs and translate them into system requirements

  • Design and implement batch and streaming data pipelines on AWS

Skills you'll gain

Category: Data Pipelines
Category: Amazon Web Services
Category: Requirements Analysis
Category: Data Processing
Category: Data Transformation
Category: System Requirements
Category: Data Architecture
Category: Data Modeling
Category: Data Warehousing
Category: Scalability
Category: Performance Tuning
Category: Security Controls

What you'll learn

  • Gather stakeholder needs and translate them into system requirements.

  • Implement a batch and a streaming ingestion process on AWS to ingest data from various source systems.

  • Integrate aspects of security, data management, DataOps and orchestration into the data systems you build.

Skills you'll gain

Category: Data Quality
Category: Data Pipelines
Category: Terraform
Category: NoSQL
Category: Apache Airflow
Category: Extract, Transform, Load
Category: Infrastructure as Code (IaC)
Category: AWS Kinesis
Category: Amazon CloudWatch
Category: Data Processing
Category: CI/CD
Category: Data Transformation
Category: Amazon Web Services
Category: Data Integration
Data Storage and Queries

Data Storage and Queries

Course 322 hours

What you'll learn

  • Design storage architectures for various use cases, and select appropriate technologies to implement these architectures

  • Practice common query patters and identify ways to improve query performance and enhance the value of your data systems

Skills you'll gain

Category: Data Storage
Category: Query Languages
Category: Amazon S3
Category: Data Architecture
Category: Cloud Storage
Category: Data Lakes
Category: Database Management Systems
Category: Amazon Web Services
Category: Data Warehousing
Category: Performance Tuning
Category: SQL
Category: Graph Theory
Category: File Systems
Category: Database Systems
Category: Data Pipelines
Category: Apache Kafka
Category: Databases

What you'll learn

  • Model and transform data based on stakeholder needs to deliver business value

  • Choose the appropriate data processing tools for your architecture design

  • Process data for batch analytics and machine learning data pipelines using distributed and non-distributed processing frameworks

Skills you'll gain

Category: Data Transformation
Category: Apache Spark
Category: Star Schema
Category: Data Cleansing
Category: Data Modeling
Category: Data Warehousing
Category: Extract, Transform, Load
Category: Data Pipelines
Category: Real Time Data
Category: Applied Machine Learning
Category: Feature Engineering
Category: Apache Hadoop
Category: Data Processing

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Joe Reis

Top Instructor

DeepLearning.AI
4 Courses31,608 learners

Offered by

DeepLearning.AI

Offered by

DeepLearning.AI

DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.

Offered by

Amazon Web Services

Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions

The focus of this program is to provide foundational training in the field of data engineering that includes both conceptual knowledge and principles as well as practical skills for building data systems on the AWS cloud.

This course is ideal for aspiring or practicing data engineers, as well as data professionals in adjacent roles like software engineering, data science, or analytics looking to broaden and deepen their skills in data engineering. Other data stakeholders such as data team leads and technical business leaders will also find value in these courses as they think about data systems and structures at the organizational level.

You will learn about the stages of the data engineering lifecycle, including generation, ingestion, storage, transformation, and serving data, as well as the s undercurrents of the lifecycle including security, DataOps, Data Management, Data Architecture, Orchestration, and Software Engineering. You’ll also learn how to design good data architecture, choose tools and technologies, and build data pipelines on the AWS cloud.

Financial aid available,

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2024 - 7/1/2025)


[8]ページ先頭

©2009-2025 Movatter.jp