Building Modern Data Analytics Solutions on AWS Course in Kenya

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

4.9/5

6096 Enrolled

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

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?

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

Overall ratings by our students

Upcoming sessions

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.

Learners Point Certificate

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

Related courses

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

Frequently asked questions

The four main AWS courses that make up our Building Modern Data Analytics Systems on AWS course in Kenya help professionals design, develop, and oversee secure, scalable analytics systems that use AWS cloud-native services. We concentrate on effective data collection, archiving, processing, analysis, and visualization in a contemporary data environment.

Upon successful completion of the course, you can take up jobs like:

Data Engineer
Cloud Architect
Cloud Consultant
AWS Data Analyst
Big Data Specialist

These jobs are in great demand within cloud services, finance, healthcare, and retail industries.

Our course features easy learning options, such as online learning, live lectures, and review classes. This is convenient for working professionals to combine their work duties with learning, thus being able to obtain the certification at their convenience.

Completing the course boosts your profile as an AWS-certified data analytics professional. You’ll be ready for roles like Data Engineer, Cloud Architect, Data Analyst, and Analytics Consultant, increasing your chances of securing high-paying jobs in data-driven industries globally.

Yes, AWS certifications are worldwide-recognized, and the same is true for this course. It gives credentials that are appreciated globally in industries such as tech, finance, healthcare, and retail.