Level Up Your Skills with Advanced Traineeship Training

Master advanced programming, web development, and cutting-edge technologies to become a tech leader.
This phase 2 is a 6-month intensive program that builds on the foundational skills from Phase 1. It focuses on advanced problem solving, programming, and specialized learning, preparing participants for real-world challenges in software development and beyond.
Software training illustration

What you will learn

Sabilink COMP 102 curriculum illustration
Comp 102 - Problem-Solving and Computational Thinking II
Mode: On-Site
Duration: 8 Weeks
Topics focus on the introduction to the engineering of computer applications, emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing.
Sabilink WEB 102 curriculum illustration
WEB 102 - Full-Stack Web Development
Mode: Online
Duration: 4 Weeks
Web 102 builds on foundational web development skills by introducing functional programming, backend development with Node.js and Express, database management with SQL and PostgreSQL, authentication, and frontend development with React. This course provides hands-on experience in building modern, full-stack web applications and deploying them using Docker containers.
Sabilink OS 101 curriculum illustration
OS 101 - Introduction to Linux
Mode: On-site
Duration: 8 Weeks
Linux 101 is a comprehensive introduction to the Linux operating system, covering fundamental command-line operations, system navigation, file management, scripting, networking, and containerization. Designed for beginners, this course provides hands-on experience with essential Linux tools and concepts, laying a strong foundation for system administration, DevOps, and software development.
Sabilink FSPEC 101 curriculum illustration
FSPEC 101: - Specialization: Machine Learning
Mode: Online
Duration: 8 Weeks
FSPEC 101 provides a comprehensive introduction to machine learning, covering key algorithms, data preprocessing techniques, and model optimization. Students will learn how to implement K-Nearest Neighbors (KNN), gradient descent, logistic regression, and multi-class classification while using TensorFlow.js for real-world applications such as image recognition and data analysis. The course emphasizes hands-on projects, including CSV data handling, feature normalization, and performance optimization.

Why Sabilink Traineeship Program?

  • Master industry-relevant skills and tools.
  • Gain specialized knowledge in high-demand fields
  • Build a portfolio with real-world projects
  • Access mentorship and career guidance from experts.

Frequently Asked Questions (FAQ)

Locate Us

Nigeria Map Location

Find our Nigeria location with Google Maps and head directly to the Sabilink Accelerator Hub.

Navigate the complex

Use this short video guide to find your way within the complex and get to the Sabilink hub more easily.

Video transcript: This short guide shows the route through the complex to help visitors locate the Sabilink hub entrance.