AWS Data and Business Intelligence Training
Empower your team to harness data, uncover insights, and drive smarter business outcomes with AWS analytics and machine learning.
Companies grow with a more skilled team thanks to our training programs
Course Overview
The AWS Data and Business Intelligence Training Program equips professionals with the expertise to manage, analyze, and visualize data using Amazon’s powerful analytics and machine learning ecosystem. Through a combination of conceptual learning and hands-on labs, participants gain the skills to design and deploy scalable data solutions using tools like Amazon Redshift, Amazon SageMaker, Amazon EMR, and Amazon Kinesis. This program is perfect for teams looking to transform raw data into real-time insights that power innovation and business growth.
Who This Course Is For
- Data engineers, analysts, and solution architects
- Organizations building or managing AWS-based analytics pipelines
- IT teams responsible for cloud-based data integration and automation
- Professionals pursuing AWS Data Analytics certification
Learning Outcomes
After completing this training, participants will be able to:
- Design and deploy scalable data architectures using AWS tools
- Manage large datasets and run analytics workloads efficiently
- Build, train, and deploy machine learning models using Amazon SageMaker
- Implement secure, high-performance data pipelines for business intelligence
- Apply best practices for cost optimization and governance in AWS analytics environments
What’s Included
Below are the specialized courses included under the AWS Data and Business Intelligence Training catalog
Learn how to leverage the AWS big data platform, including Amazon EMR, Amazon Redshift, Amazon Kinesis, and more. Understand how to design and manage large-scale data solutions that power modern analytics.
Explore best practices for designing cloud-based data warehouses using Amazon Redshift. Gain hands-on experience integrating services like Amazon S3, Amazon DynamoDB, and Amazon EMR to create scalable, secure analytics environments.
Dive into the world of applied machine learning. Learn how to use Amazon SageMaker to build, train, and deploy models while mastering the end-to-end data science process from feature engineering to deployment.
Prepare for the AWS Certified Data Analytics – Specialty exam. Validate your expertise in designing, implementing, and maintaining data analytics solutions that deliver measurable business value.
Why Choose Us
Hands-On AWS Labs
Gain practical experience with real AWS services and analytics pipelines.
Certification-Focused Curriculum
Every course aligns with AWS’s official certification tracks to help you advance your career.
Industry-Relevant Case Studies
Learn how global companies use AWS data tools to drive innovation and performance.
Flexible Learning
Choose onsite, virtual, or blended training to match your team’s needs.
Our Unique Advantage
At NexTechBreedge, we help organizations go beyond collecting data. We teach them to understand and use it effectively. Our programs bridge the gap between technical know-how and strategic insight, empowering every participant to think like a data-driven leader.
50%
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Empower your workforce with our Training Programs
Speak to our Training Experts to design an AWS Data and Analytics learning path that empowers your team.
AWS Data & Business Intelligence Training
Take a look below at the various courses we offer
under the AWS Data & Business Intelligence training catalog
Big Data on AWS
This course introduces students to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform.
Data Warehousing on AWS
Students are introduced you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3.
Practical Data Science with Amazon SageMaker
In this course, students learn how to solve a realworld use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches provides insight into how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment
Exam Readiness: AWS Certified Data AnalyticsSpecialty 
This course prepares you to take the AWS Certified Data Analytics - Specialty exam, which validates your ability to design, implement, deploy, and maintain data analytic solutions.