Building Modern Data Analytics Solutions on AWS Course in Rwanda

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, & case studies

Flexible learning options to fit your schedule & learning style

Various payment methods with instalment plans available

4.9/5

5748 EnrolledEnrolled Learners

4.9/5

5748 EnrolledEnrolled Learners

Overview

What our training includes:

Set up & maintain data lakes efficiently with AWS Lake Formation
Create data analytics workflows using Amazon EMR
Perform batch analytics through Apache Spark on EMR clusters
Process live data streams using Amazon Kinesis
Strengthen data security & performance in Redshift analytics
Leverage AWS Glue for flexible & scalable data storage
Build real-time streaming architectures with 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 to create scalable & secure cloud data lakes using AWS Lake Formation’s governance features

Build efficient analytics pipelines that handle large datasets with Amazon EMR

Use Apache Spark for fast, batch data processing across distributed systems

Set up real-time streaming analytics using the capabilities of Amazon Kinesis

Design secure & scalable data warehouses with Amazon Redshift’s advanced tools

Manage ETL workflows & data storage efficiently 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 in Rwanda, 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, & 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, & security groups

Overall ratings by our students

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Frequently asked questions

This Building Modern Data Analytics Solutions on AWS course is all about teaching professionals how to create full-scale data analytics pipelines using AWS. You get hands-on experience with tools like Amazon EMR, Redshift, Glue, Kinesis, Lake Formation, and MSK. You also explore modern data architectures and work with both batch and live data workflows.