ITF/Techlytics Technical Skills Development Program (TSDP) 2026

ITF/Techlytics Technical Skills Development Programme (TSDP) 2026 – AI-Augmented Data Analytics

Applications are now open for the 2026 Technical Skills Development Programme (TSDP), a fully sponsored training initiative focused on AI-Augmented Data Analytics.

The programme is sponsored by the Nigeria Employers’ Consultative Association (NECA) and the Industrial Training Fund (ITF), and delivered by Techlytics Institute of Technology and Innovation.

Designed to address the growing demand for digital and analytical skills in the Nigerian workforce, the programme equips participants with practical knowledge in data analytics, business intelligence, and AI-powered analytical tools.

Participants will gain hands-on experience with industry-relevant technologies, learn from experienced professionals, and work on real-world projects that can strengthen their portfolios and improve their employability.

Programme Details

• Programme: Technical Skills Development Programme (TSDP)
• Track: AI-Augmented Data Analytics
• Sponsors: Nigeria Employers’ Consultative Association (NECA) and Industrial Training Fund (ITF)
• Delivery Partner: Techlytics Institute of Technology and Innovation
• Duration: 4 Months
• Schedule: 2 Days Per Week
• Start Date: 9th July, 2026
• Course Fee: Free
• Application Deadline: 26th June, 2026

About the Programme

The Technical Skills Development Programme is a government-backed workforce development initiative designed to help participants build practical skills in Data Analytics and Artificial Intelligence.

The programme combines traditional data analysis techniques with modern AI tools, enabling participants to analyse data more efficiently, generate insights, and support business decision-making using technologies increasingly adopted across industries.

The training includes classroom learning, practical exercises, industry engagement, and a real-sector capstone project.

What You Will Learn

Module 1: Data Foundations and Advanced Excel

• Data types and structures
• Advanced Excel techniques
• Data cleaning and preparation
• Pivot tables and reporting
• Dashboard development

Module 2: Business Intelligence with Power BI

• Data connection and transformation
• Power BI fundamentals
• Data modelling
• Interactive dashboards
• Business reporting and visualization

Module 3: AI-Augmented Analytics

• Introduction to AI for analytics
• Claude and ChatGPT integration for analytics workflows
• Prompt engineering for analysts
• AI-assisted data interpretation
• Automating repetitive analytical tasks

Module 4: Real-Sector Capstone Project

• Working with real-world datasets
• End-to-end analysis workflow
• Business problem solving
• Data storytelling
• Project presentation and review

Programme Benefits

Monthly Masterclasses

• Live sessions with industry data professionals and analysts from leading organisations.
• Exposure to practical industry applications and professional insights.

Participant Stipend

• A monthly stipend to support participants throughout the programme duration.

Internship Placement

• Top-performing participants may be considered for internship placements with partner organisations.

Recognised Certificate

• A programme completion certificate from Techlytics Institute of Technology and Innovation.
• Certificate accredited by the Industrial Training Fund (ITF).

Who Should Apply?

The programme is suitable for:

• Graduates
• NYSC members
• Young professionals
• Job seekers
• Individuals interested in Data Analytics
• Individuals interested in Artificial Intelligence
• Professionals seeking digital upskilling opportunities

The Programme

Data analytics and AI are becoming essential skills across sectors including finance, telecommunications, consulting, technology, manufacturing, government, and development organisations.

This programme provides participants with practical exposure to tools and workflows used in modern workplaces while helping them build project experience that can support future career opportunities.

Application Deadline

Deadline: 26th June, 2026

How to Apply

Interested applicants should complete their application through the official programme portal before the deadline.

Apply Here