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DeepLearning.AI Data Engineering Professional Certificate

A cloud-first data engineering course that arms you with in-demand skills in AWS, Airflow, and infrastructure automation.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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What you will learn in DeepLearning.AI Data Engineering Professional Certificate Course

  • This course offers a comprehensive pathway into the field of data engineering, focusing on designing and managing scalable data systems.

  • Learners will gain hands-on experience in building data pipelines, handling data ingestion, storage, transformation, and serving techniques.

  • The curriculum introduces key cloud platforms—especially AWS—and tools like Apache Airflow and Terraform for modern data workflows.

  • Students learn the foundational concepts of data warehousing, batch vs streaming data processing, and Infrastructure as Code (IaC).

  • Participants will also explore the lifecycle of data and learn how to build robust, automated data workflows from scratch.

  • Emphasis is placed on real-world applications and business problem-solving using data infrastructure.

Program Overview

Introduction to Data Engineering

⏱️ 2-3 weeks

This foundational module introduces the data engineering field and its ecosystem.

  • Understand the data engineering lifecycle and core responsibilities

  • Learn about different data storage types and processing models

  • Get introduced to cloud data architectures and infrastructure

  • Explore the tools and technologies used in the field

Data Ingestion and Storage

⏱️ 3-4 weeks

Learn how to collect and store data efficiently and securely.

  • Explore file formats like JSON, CSV, and Parquet

  • Ingest data from APIs, logs, and databases

  • Use AWS services like S3, RDS, and DynamoDB

  • Design storage systems optimized for scale and access

Data Transformation with Airflow and dbt

⏱️4–5 week

Focus on preparing data for analytics through transformation processes.

  • Build data pipelines using Apache Airflow

  • Automate data cleaning and transformation tasks

  • Integrate dbt for modeling and transforming data in warehouses

  • Follow modular and test-driven approaches to pipelines

Data Orchestration and Infrastructure as Code

⏱️ 4–5 week

Automate, manage, and scale your data infrastructure.

  • Write IaC using Terraform to provision data platforms

  • Monitor and orchestrate workflows in production environments

  • Implement DataOps principles for collaboration and reliability

  • Learn about deployment strategies and environment management

Capstone Project

⏱️ 3–4 weeks

Apply your knowledge in a real-world scenario with cloud-based tools.

  • Design and build a production-level data pipeline

  • Use ingestion, transformation, and orchestration tools

  • Implement monitoring and error-handling strategies

  • Deploy infrastructure using Terraform and AWS services

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Job Outlook

  • Data engineering is one of the fastest-growing tech fields with a high demand in industries such as finance, healthcare, and tech
  • Entry-level data engineers typically earn $80K–$110K, with senior roles reaching $140K+
  • Skills in cloud platforms (AWS, GCP), orchestration (Airflow), and IaC (Terraform) are highly sought after
  • Employers seek professionals who can build reliable, scalable, and secure data systems
  • This certificate prepares learners for roles such as Data Engineer, Data Pipeline Engineer, and Infrastructure Engineer
  • Knowledge gained also supports career transitions into Machine Learning and Big Data roles
  • Certifications from DeepLearning.AI and AWS enhance visibility on job platforms and resumes
  • Remote and freelance opportunities are expanding in cloud-based data engineering
9.8Expert Score
Highly Recommended
The DeepLearning.AI Data Engineering Certificate is a powerful program for those looking to enter the data infrastructure space with a cloud-first mindset.
Value
9.3
Price
9.2
Skills
9.7
Information
9.8
PROS
  • Cloud-centric, job-ready curriculum focused on modern tools
  • Excellent exposure to orchestration and infrastructure automation
  • Taught by leading industry experts from DeepLearning.AI and AWS
  • Real-world projects help build a technical portfolio
  • Beginner-friendly with no prior experience required
CONS
  • Requires time commitment and consistent practice
  • Advanced users may find the pace a bit slow
  • Cloud concepts may be overwhelming for complete beginners

Specification: DeepLearning.AI Data Engineering Professional Certificate

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

DeepLearning.AI Data Engineering Professional Certificate
DeepLearning.AI Data Engineering Professional Certificate
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