Cloud Data Engineering on AWS
Master AWS tools and services to become a proficient Cloud Data Engineer. Learn by doing, guided by experts at Ni Analytics India.
Course Overview
In today's data-driven world, mastering cloud data engineering is essential. This course equips you with the skills to design, build, and manage data pipelines on AWS, leveraging its powerful ecosystem. From data ingestion to real-time analytics, you'll gain hands-on experience with industry-standard tools and best practices.
Whether you're a data engineer, developer, or aspiring cloud professional, this course will provide you with the knowledge and practical skills needed to excel in cloud data engineering. You'll learn how to architect scalable data solutions, optimize performance, and ensure data security in the cloud.
Join us to transform your career and become a proficient Cloud Data Engineer, ready to tackle real-world challenges in data management and analytics on AWS.
By the end of this course, you will be able to:
- Design and implement scalable data pipelines on AWS
- Utilize AWS services for data storage, processing, and analytics
- Optimize data workflows for performance and cost-efficiency
- Ensure data security and compliance in cloud environments
- Gain hands-on experience with real-world projects
Join us to master the art of cloud data engineering and unlock new career opportunities in the rapidly evolving field of data management.
This AWS-focused data engineering course enables professionals to build scalable, secure, and efficient data pipelines using cloud-native tools. You'll master data ingestion, storage, transformation, real-time and batch processing, orchestration, and cost optimization – all essential skills for a cloud data engineer.
What You'll Learn
In this comprehensive course, you will:
- Understand AWS Cloud fundamentals and IAM security
- Store and manage data using Amazon S3
- Perform ETL operations with AWS Glue
- Build data warehouses using Amazon Redshift
- Process real-time data streams with Amazon Kinesis
- Execute batch processing using EMR clusters
- Analyze data serverlessly with Amazon Athena
- Orchestrate workflows using AWS Step Functions
- Implement monitoring, cost-optimization, and governance best practices
Who Should Attend?
This course is designed for professionals who want to enhance their data engineering skills with cloud technologies, specifically AWS. It is suitable for:
- Data Engineers and Developers
- ETL & BI Professionals migrating to cloud
- Big Data Engineers transitioning to AWS
- Freshers with basic Python/SQL knowledge
- Anyone seeking AWS data certification
Prior experience with Python and SQL is beneficial but not mandatory. This course is ideal for those looking to build a career in cloud data engineering or enhance their existing skills with AWS technologies.
Whether you're a seasoned data professional or just starting your career, this course will equip you with the skills needed to excel in cloud data engineering on AWS.
Key Features
Our Cloud Data Engineering on AWS course offers:
- Instructor-led live sessions (online & classroom)
- 100% Job Assistance & AWS certification prep
- Hands-on labs, real-time industry projects
- Resume & Interview Coaching
- Flexible weekday/weekend batches
- Access to cloud sandbox and learning materials
- Post-course support and career mentoring
Join us to gain in-demand skills and become a proficient Cloud Data Engineer, ready to tackle real-world challenges in data management and analytics on AWS.
