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.
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Big Data Engineer Masters Program Syllabus
Big Data Foundations - Preparatory Course
Big Data Foundation module offers comprehensive knowledge in Big Data, SQL, NoSQL, Linux, and Git. You’ll learn database management, querying, data manipulation, Linux operations, and version control using Git. This solid foundation primes you for a successful career in the ever-evolving Big Data landscape.
Python For Data Engineering
Distributed Data Processing
This course covers Distributed Data Processing using Big Data Hadoop, HDFS, Apache Spark, PySpark, and Hive. Explore fundamentals of Hadoop and HDFS for data management, learn Apache Spark. Become expert in PySpark and efficient data processing. Interact with distributed data using Hive’s HQL queries. Hands-on projects for practical expertise in distributed data processing. Master Hadoop eco-system to tackle big data challenges and drive data-driven insights.
Individual Project -1
This is an Individual Project designed to equip the learners with Hands-On E
AWS Certified Data Analytics Specialty - Certification Training
This comprehensive certification course is designed to transform you into an AWS data analytics expert. Gain proficiency in data collection, storage, and processing using Amazon S3, Redshift, and AWS Glue. Build scalable data pipelines for ETL through hands-on practice. Explore data analysis and visualization with Amazon QuickSight. Dive into machine learning using Amazon SageMaker and real-time data processing with Amazon Kinesis. Prepare for the certification exam and unlock new career possibilities in AWS data analytics.
Snowflake Advanced Data Engineer Certification
This comprehensive certification course is designed to equip you with advanced skills in Snowflake data engineering and analytics. Covering data modeling, loading, unloading, and performance optimization, you’ll learn to design efficient data pipelines. Explore Snowflake’s features for data security, sharing, and scaling. Gain hands-on experience with Snowflake’s cloud-based platform, preparing for the SnowPro Advanced Data Engineer Certification. Unlock the full potential of Snowflake for advanced data engineering and analytics in this exciting journey.
Group Project - 1
This section consists of One Group Project that covers the Concepts of AWS Data Analytics Specialty certification which helps to gain Real Time Project Experience.
Dive Into Data Lake Table Format Frameworks
This comprehensive certification course is designed to provide in-depth knowledge of data lake storage frameworks. Explore Delta Lake and Hudi, powerful technologies for data lake management. Learn about data consistency, reliability, and versioning with Delta Lake. Discover Hudi’s capabilities for stream processing and efficient data ingestion. Work on real-world projects and elevate your expertise in data lake storage solutions.
This comprehensive course is designed to provide a strong foundation in DevOps practices and principles. Participants will gain a deep understanding of DevOps culture, methodologies, and tools, enabling them to improve collaboration and streamline software development and deployment processes.
Group Project - 2
This section consists of One Group Project that covers all the concepts of the program.
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.
- Live classes
- Hands-on trainings
- Mini-projects for every module
- Recorded sessions (available for revising)
- Collaborative projects with team mates in real-world projects
- 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
- 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.
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.
Course Completion Certification
Pay upfront and save 32% on tuition fee
Pay monthly and save 20% on tuition fee
Total up to 60,000
Avail upto 70% Scholarship
- Computer Science or IT Students is highly desirable
- or other graduates with passion to get into IT
- Data Warehouse, Database, SQL, ETL developers who want to transition to Data Engineering roles