Data Engineering DE198
About This Course
Are you interested in a career as an AWS Data Engineer?
The “Data Engineering Masters Program with AWS” is designed to equip you with the skills necessary to become an expert in data engineering using AWS. This comprehensive program covers the design, development, deployment, and management of data-intensive pipelines and applications using a range of AWS services such as S3, Redshift, DynamoDB, Glue, PySpark, Lambda, and more.
In addition to learning how to build efficient and scalable data engineering pipelines, you will also learn to store and manage large volumes of data and perform data transformations and analytics using AWS services. The course covers the AWS data ecosystem, data warehousing, querying techniques, and real-time data streams.
With real-world projects and personalized feedback from experienced data engineering professionals, you will gain hands-on experience and be able to apply your knowledge and skills to real-world scenarios. This program is suitable for both beginners and experienced developers looking to build a career as an AWS Data Engineer.
Data Engineering on AWS Course Syllabus
Course Introduction and Overview
LIVE TRAINING
To explore and understand the Content, Structure and basic concepts of the course.
Database Foundations
LIVE TRAINING
Understanding Data Modelling and Designing
LIVE TRAINING
To Learn the principles of data modeling and database design, including the different types of data models and their applications.
Python for Data Engineering
LIVE TRAINING
To Learn the Core concepts of Python. To Develop proficiency in Python libraries and Master advanced data manipulation and analysis techniques using Pandas in Python
Individual Project
SELF PACED
This section consists of One Individual Project. Learners gain Practical knowledge on the different topics such as Database Fundamentals, Python for Data Engineering.
Understanding the concepts of Data Engineering
LIVE TRAINING
Gain a comprehensive understanding of data engineering, including the principles, tools, and technologies involved in building and maintaining efficient and scalable data systems.
Exploring Big Data Processing and Open-Source Tools
LIVE TRAINING
Understand the fundamentals of Big Data Processing and Open-Source Tools, including Hadoop, Apache Spark, Cassandra, MongoDB, HPCC, Apache Storm, KNIME Analytics Platform, Rapid Miner, and RStudio.
Dive into Cloud Computing and AWS
LIVE TRAINING
To Develop a comprehensive understanding of Cloud Computing and AWS, including its architecture, service and deployment models, key aspects such as regions, AZs, and account creation. To gain knowledge on Amazon Web Services (AWS) including cloud computing, core services, storage and management, security and compliance, pricing and support, architecture and design, and operations and management.
Mastering Distributed Data Processing using AWS Apache Spark
LIVE TRAINING
Understand the fundamentals of distributed data processing using AWS Apache Spark, including its features, use cases, and integration with other AWS services.
Group Project - 1
HANDS-ON
This section consists of One Individual Project. Learners gain Practical knowledge on the different topics such as Database Fundamentals, Python for Data Engineering.
Working with the Tools for Data Engineering Part - 1 (Hands-on)
LIVE TRAINING
Edureka’s Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File System, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration and Linux programming.
Working with the Tools for Data Engineering Part - 2 (Hands-on)
LIVE TRAINING
Edureka’s Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File System, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration and Linux programming.
Group Project - 2
HANDS-ONÂ
To Learn the Core concepts of Python. To Develop proficiency in Python libraries and Master advanced data manipulation and analysis techniques using Pandas in Python
Job market overview
AWS Data Engineers are in high demand in the job market due to the increasing need for data-driven decision making. According to Glassdoor, the national average salary for a Data Engineer is $96,774 in the United States, and the demand for AWS Data Engineers is expected to grow exponentially in the coming years. This course will provide you with the necessary skills to excel in this field and stay ahead of the competition.
What you will learn
By the end of this course, you will have the skills and knowledge necessary to design and implement scalable data engineering pipelines on AWS using a range of services and tools.
Course Format
- Live classes
- Hands-on trainings
- Mini-projects for every module
- Recorded sessions (available for revising)
- Collaborative projects with team mates in real-world projects
- Demonstrations
- Interactive activities: including labs, quizzes, scenario walk-throughs
What this course includes
- 200+hrs of live classes
- Collaborative projects
- Slide decks, Code snippets
- Resume preparation from the 2nd week of course commencement
- 1:1 career/interview preparation
- Soft skill training
- On-call project support for up to 3 months
- Certificate of completion
- Unlimited free access to our exam engines
Our students work at
Prerequisites
- CS/IT degree or prior IT experience is highly desired
- Basic programming and cloud computing concepts
- Database fundamentals
Why should you take the course with us
- Project-Ready, Not Just Job-Ready!
By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.
- Authentic Data For Genuine Hands-On Experience
Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.
- Personalized Career Preparation
We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.
- Multiple Experts For Each Course
Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.
- On-Call Project Assistance After Landing Your Dream Job
Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.
- A Vibrant and Active Community
Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.
FAQs
AWS Data Engineering involves designing, building, and maintaining the data architecture required to support data-driven applications and business decisions. This includes collecting, storing, processing, and analyzing large volumes of data using AWS services and tools.
The prerequisites for this program include basic understanding of programming languages such as Python, SQL, and Java, and a working knowledge of Cloud Computing, Databases and AWS services. Candidate with CS/IT background is highly desirable.
This program will cover the following topics:
- Designing and implementing data pipelines using AWS services such as Glue, Kinesis.
- Building data warehouses and data lakes using Redshift and S3.
- Performing data transformation and processing using Lambda and EMR.
- Implementing security and compliance best practices and much more.
Kindly read brochure to see the list of topics.
The duration of the live training session is approximately 200+ hours, which includes hands-on labs, interactive quizzes, assignments etc. On top of this, You will be having real-world projects, the completion depends on your pace of work and on your collaboration with other team members to get projects done.
Yes, there is a certificate of completion available at the end of the program for those who successfully complete all the course requirements.
Yes, you will have access to the course materials even after the program has ended. You can refer to the course materials anytime to revise and refresh your knowledge.
You will have access to a dedicated instructor, as well as a support team to help you with any questions or issues you may have during the course. On top, you get to communicate with your personal Learning Manager. Your support is ensured from day 1 and before.
Yes, there are several hands-on activities and projects during the course to help you apply the concepts learned in real-world scenarios. These activities and projects are designed to give you practical experience in building data engineering solutions on AWS.
Yes, we include a complete package of hands-on training and exercises to help you apply what you learn to a real-world setting.
After completing this program, you can expect to pursue career opportunities such as AWS Data Engineer, Big Data Engineer, Cloud Data Engineer, Data Architect, and Cloud Solutions Architect. The demand for professionals with skills in data engineering on AWS is increasing rapidly, and this program can help you capitalize on this demand.
The amount of time required will vary depending on the schedule you have opted for. You should check the course description for an estimated time commitment, and plan to dedicate enough time to complete the course within the allotted time frame.
Yes, we provide a friendly platform for students to interact with each other, such as a discussion forum or chat room. We also provide an engaging learning experience through collaborative projects.
Tools Covered
Course Completion Certification
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