Building Modern Data Analytics Solutions on AWS Course

Master modern data architectures with hands-on AWS tools

32 hours of expert-led training sessions

Four intermediate-level AWS course options to explore

Learn from AWS-certified instructors with real-world expertise

Access to expert-led lessons, labs and case studies

Flexible learning options to fit your schedule & learning style

Various payment methods with instalment plans available

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4.9/5

6096 EnrolledEnrolled Learners

Overview

What you will master with us:

Manage data lakes using AWS Lake Formation
Develop analytics pipelines with Amazon EMR
Run batch data analysis via Apache Spark on EMR
Handle real-time data using Amazon Kinesis
Optimise Redshift security for data analytics
Use AWS Glue for scalable data storage
Design streaming solutions using Amazon MSK

Upcoming sessions

Curriculum

Introduction to Data Lakes

Data ingestion, cataloging and preparation

Building a Data Lake with AWS Lake formation

Data processing and analysis

Additional Lake formation configurations

Modern data architecture

Overview of Data Analytics and the Data Pipeline

Introduction to Amazon EMR

Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage

High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR

Processing and Analysing Batch Data with Amazon EMR and Apache Hive

Serverless Data Processing

Security and Monitoring of Amazon EMR Clusters

Designing Batch Data Analytics Solutions

Developing Modern Data Architectures on AWS

Overview of Data Analytics and the Data Pipeline

Using Amazon Redshift in the Data Analytics Pipeline

Introduction to Amazon Redshift

Ingestion and Storage

Processing and Optimizing Data

Security and Monitoring of Amazon Redshift Clusters

Designing Data Warehouse Analytics Solutions

Developing Modern Data Architectures on AWS

Overview of Data Analytics and the Data Pipeline

Using Streaming Services in the Data Analytics Pipeline

Introduction to AWS Streaming Services

Using Amazon Kinesis for Real-time Data Analytics

Securing, Monitoring and Optimizing Amazon Kinesis

Using Amazon MSK in Streaming Data Analytics Solutions

Securing, Monitoring and Optimizing Amazon MSK

Designing Streaming Data Analytics Solutions

Developing Modern Data Architectures on AWS

Meet your Trainer

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learning Outcomes

After you complete this training, you will be able to:

Learn AWS Lake Formation to create secure, scalable and well-governed cloud-based data lakes

Build efficient, high-performance data analytics pipelines utilising the full capabilities of Amazon EMR

Get practical experience using Apache Spark for processing large-scale batch data analytics workflows

Set up real-time data streaming and analytics applications using powerful Amazon Kinesis tools

Design robust and scalable data warehousing solutions with advanced features of Amazon Redshift

Enhance, secure and manage data storage and ETL workflows effectively using AWS Glue services

Ready to get started?

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Prerequisites

To enrol in the Building Modern Data Analytics Solutions on AWS Course, we recommend that you fulfil these eligibility requirements:

Understanding of relational databases and data warehousing basics
Previous experience with data analytics tools and techniques
Hands-on knowledge of core AWS services like S3, EC2 and IAM
Basic skills in scripting languages, such as Python
Familiarity with ETL (Extract, Transform, Load) workflows and data preparation techniques
Knowing the basics of networking, including VPC, subnets and security groups

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Frequently asked questions

The Building Modern Data Analytics Solutions on AWS course is a collection of four core AWS courses helping you to design, build and manage scalable and secure analytics solutions using AWS cloud-native services. We focus on how to collect, store, process, analyse and visualise data efficiently in a modern data ecosystem.

To enrol in the Building Modern Data Analytics Solutions on AWS Course, we recommend that you fulfil these eligibility requirements:

1. Understanding of relational databases and data warehousing basics
2. Previous experience with data analytics tools and techniques
3. Hands-on knowledge of core AWS services like S3, EC2 and IAM
4. Basic skills in scripting languages, such as Python
5. Familiarity with ETL (Extract, Transform, Load) workflows and data preparation techniques
6. Knowing the basics of networking, including VPC, subnets and security groups

In this training, you will explore a set of topics that prepare you to build scalable, secure and cost-effective data analytics pipelines on AWS. These topics are:

1. Introduction to Modern Data Analytics on AWS
2. Building a Data Lake with Amazon S3 & Lake Formation
3. Data Ingestion and Streaming
4. Data Processing and Transformation
5. Data Warehousing with Amazon Redshift
6. Interactive Queries and Data Exploration
7. Data Visualization with Amazon QuickSight

Earning the Building Modern Data Analytics Solutions on AWS Certification offers several benefits, if you are working in cloud, data engineering, or analytics roles. These benefits include:

1. Validates your ability to design end-to-end data analytics solutions
2. Certified professionals are in high demand across industries
3. Makes you a trusted candidate for enterprise-level data projects
4. Prepares you for advanced AWS certifications
5. Learn to optimise for cost, performance and scalability
6. Hands-on experience with key AWS tools

Earning this certification opens the door to a wide range of high-demand career opportunities in cloud, data and analytics roles across diverse industries. These job roles are:

1. Data Engineer (AWS)
2. Cloud Data Architect
3. Big Data Engineer
4. Business Intelligence (BI) Engineer
5. Analytics Consultant
6. Machine Learning Data Specialist
7. DevOps or DataOps Engineer

In our Building Modern Data Analytics Solutions on AWS course, you will gain hands-on experience with a range of AWS services that are essential for designing and optimising data analytics solutions. These AWS services include:

1. Amazon Kinesis Data Streams
2. AWS Data Migration Service (DMS)
3. Amazon S3 (Simple Storage Service)
4. AWS Glue & Lambda
5. Amazon Athena
6. Amazon Redshift
7. Amazon EMR (Elastic MapReduce)
8. Amazon QuickSight
9. AWS Lake Formation
10. AWS Identity and Access Management (IAM)
11. AWS CloudTrail & CloudWatch

Yes, this AWS training program helps you move beyond BI tools. You gain skills to design, build, and manage the backend data pipelines using services like Lake Formation, Glue, and EMR, which power modern analytics architectures.

Our Building Modern Data Analytics Solutions on AWS Course is an instructor-led, practical course that emphasises hands-on labs and guided learning. Instead of just videos, you’ll apply your skills to real AWS environments, making it more interactive and applicable to real-world data challenges.