Heterogeneous Data Servers | Module 10: Software Development

We offer 50% discount to students, please complete this form to avail discount.

Programme Structure

The programme consists of 14 modules delivered across 18 live sessions:

• • Module 1: Software Engineering Foundations | 28 Oct 2026 9:00 AM - 11:00 AM BST
  • Module 2: C/C++ Programming Fundamentals | 29 and 30 Oct 2026 10:00 AM - 2:00 PM BST
  • Module 3: Python Fundamentals | 2 and 3 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 4: Rust Fundamentals | 4-5 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 5: OSI 7-Layer Architecture | 6 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 6: Network Programming | 9 Nov 2026 1:00 PM - 5:00 PM BST
  • Module 7: Data Formats and Middleware | 10 Nov 2026 1:00 PM - 5:00 PM BST
  • Module 8: Embedded Systems | 12 Nov 2026 1:00 PM - 5:00 PM BST
  • Module 9: AI/ML Systems Engineering | 16 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 10: Heterogeneous Data Servers | 19 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 11: ADAS and Automotive Software | 11 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 12: IoT Applications | 26 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 13: Networking Application | 30 Nov 2026 10:00 AM - 2:00 PM BST
  • Module 14: Capstone Project | 2-3^rd Dec 2026 10:00 AM to 2:00 PM BST

Register for the full 14-module training here.

Learn how modern software platforms collect, process, and distribute data across multiple systems and communication protocols. This module introduces REST APIs, gRPC, streaming pipelines, databases, and ETL architectures used to build scalable, high-performance data infrastructure.

You'll also develop a practical multi-protocol server capable of integrating data from diverse sources into a unified platform.

What You Will Learn

By the end of this module, you will:

• Build scalable backend data services

• Develop REST and gRPC-based applications

• Understand streaming data architectures

• Explore SQL, NoSQL, and time-series databases

• Learn ETL design principles

• Develop heterogeneous data integration platforms

Who Should Attend

• Backend Developers

• Software Engineers

• Data Engineers

• Cloud Engineers

• Systems Architects

• IoT Developers

Topics Covered

Session 1

APIs & Services

• REST APIs

• gRPC

Streaming & Data Processing

• Streaming pipelines

Databases

• SQL

• NoSQL

• Time-series databases

Data Engineering

• ETL systems

Module Project

• Multi-Protocol Data Aggregation Server

  • CAN

  • MQTT

  • REST

  • Database Integration

  • Dashboard Development

Key Benefits

✔ Learn modern backend architecture principles

✔ Build scalable data integration solutions

✔ Explore enterprise API technologies

✔ Understand heterogeneous data processing

✔ Complete a real-world server development project