Professional CertificateIntermediate106 hours 49 mins

Data Engineering

Instructor: Joe Reis

DeepLearning.AI

Enroll Now on Coursera

Intermediate
106 hours 49 mins
229 Video Lessons
17 Code Examples
31 Graded Assignments
Instructor: Joe Reis
DeepLearning.AI

Start Learning

What you'll learn

Understand the data engineering lifecycle: Gain insights into the foundational lifecycle to approach data engineering problems systematically.
Build effective data pipelines and architecture: Understand data generation, ingestion, storage, and retrieval to choose the right tools and function effectively as a real-world data engineer.
Make data useful and drive results: Serve processed data to data stakeholders to effectively drive business and organizational goals.

Why Enroll?

The DeepLearning.AI Data Engineering Professional Certificate is a comprehensive online program for aspiring data engineers and other data practitioners looking to start or grow their careers.

Organizations of all sizes and across all industries are capturing and generating data at an ever-increasing pace. Within these organizations, every team, from executives, sales and marketing, finance and operations, product and engineering, to customer service, can derive insights and value from organizational data. Whether the end use case is data science, machine learning, or analytics, data engineering is what allows raw data to be converted to value for the business. This is why the role of data engineer is one of the highest-demand jobs in tech today.

Throughout this program, you’ll learn the foundations of data engineering while gaining hands-on experience designing and implementing data architectures using AWS and open-source tools. You’ll acquire the fundamental practices and gain intuition on the core principles to think, act, and function like an effective data engineer in the real world.

Taught by industry expert Joe Reis, co-author of Fundamentals of Data Engineering, this certificate equips you with the skills and knowledge to excel in a high-demand field, focusing on ingesting, processing, transforming, storing, and serving data to data stakeholders to drive organizational and business objectives.

With this certificate, you will have the tools to further your data engineering career.

Throughout this program, you will:

Gather requirements from simulated stakeholder conversations, translate those requirements to design a data system, and choose the tools for the project.
Design and implement end-to-end data pipelines in AWS cloud, troubleshoot common problems data engineers face, and use popular open-source tools to monitor your data pipelines.
Build different data storage architecture, query and transform your data, and serve your data to data stakeholders for business analytics and machine learning use cases.

Instructor

Joe Reis

Co-author of the Fundamentals of Data Engineering book, and CEO of Ternary Data

Skills you will gain

Machine Learning

LLMs (Large Language Models)

Generative AI

Software Development

Software Engineering

Data Engineering

Data Architecture

Data Management

Data Orchestration

Data Modeling

Data transformation

Data Ingestion

Data Sourcing

DataOps

Learner reviews from other DeepLearning.AI courses

Selami A.

What I loved about the “AI for Everyone” course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success

Chris C.

Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with “lifelong learning” approach.

Adeel B.

What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.

Krystal L.

I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.

John S.

I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.

Muhammad S.

Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.

Andrew’s knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.

Frequently Asked Questions

What is the focus of this Professional Certificate?

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.

Who should take this Professional Certificate?

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.

What will I learn?

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.

How long does it take to complete the program?

The program takes approximately 15 weeks to complete.

What are the prerequisites?

Intermediate Python programming and some familiarity working with data are the only prerequisites. Basic SQL and AWS Cloud services skills may be helpful but are not required.

Who is the instructor?

The instructor is Joe Reis, a data engineering leader and co-author of the best-selling book “Fundamentals of Data Engineering.”

How will this course help in my career?

This course will equip you with practical skills and fundamental principles to start and build a career in the high-demand field of data engineering.

Do I need to take the courses in a specific order?

We recommend taking the courses in the prescribed order for a logical and consistent learning experience.

Can I take this course at my own pace?

Yes, the course is designed to be taken at your own pace.

What kind of support is available?

Access to discussion forums, detailed documentation, and resources to support your learning.

Is there a certificate upon completion?

- You will receive a certificate at the end of each course if you pay or receive financial aid for the courses and complete the assessments. There is a limit of 180 days of certificate eligibility, after which you must re-purchase the course to obtain a certificate. If you audit the course for free, you will not receive a certificate.
- If you complete all 4 courses in the Professional Certificate, you will also receive an additional certificate showing that you completed the entire Professional Certificate.

I have questions about my subscription of this Professional Certificate, whom can I ask?

Please use the Coursera Learner Help Center for questions about your subscription.

How much does this Professional Certificate cost?

A Coursera subscription costs $49 / month.

Can I apply for financial aid?

Yes, Coursera provides financial aid to learners who cannot afford the cost of a subscription.

Can I get the Professional Certificate without enrolling in it? Can I just take all four courses individually and still get the Professional Certificate?

You can only get the DeepLearning.AI Data Engineering Professional Certificate if you enroll in the DeepLearning.AI Data Engineering specialization and complete all four courses. If you enrolled in each individual course, you will get the course certificate on completion of each of the four courses but you will not recieve the specialization certificate.

Can I just enroll in a single course? I’m not interested in the entire Professional Certificate

To enroll in an individual course, search for the course title in the catalog.

When you subscribe to a course that is part of a Professional Certificate, you will be automatically subscribed to the entire professional certificate. If you are just interested in a single course, you will need to cancel your subscription after completing this course in order to stop the recurring monthly charge.

Can I preview the program?

> Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.

I want to purchase this professional certificate for my employees. How can I do that?

Visit coursera.org/business for more information, to pick up a plan, and to contact Coursera. For each plan, you decide the number of courses every member can enroll in and the collection of courses they can choose from.

How do I get a receipt to get this reimbursed by my employer?

Go to your Coursera account. Click on My Purchases and find the relevant program. Click Email Receipt and wait up to 24 hours to receive the receipt. You can read more about it here.