Objective: To enable participants to use AI-powered workflows and agents to automate communication, social media monitoring, analysis, reporting and marketing tasks
Course Category: Training

Objective: To equip PR and communication professionals with practical skills to identify communication priorities, analyze communication needs, develop and implement strategic communication plans, and measure communication results.
Course Category: Training

Objective: To equip participants with practical skills to produce evidence-based, data-driven sports analysis and commentary that goes beyond basic event reporting by integrating storytelling, context, statistics, tactics and digital media.
Course Category: Training

Objective: To equip journalists and communication professionals with practical, ethical, and effective skills to use Artificial Intelligence (AI) for news research, information verification, content development, transcription, translation, and story production while maintaining accuracy, editorial independence, professional ethics and legal compliance
Course Category: Training

Objective: Analyse international trade data and market trends to identify high-potential export products, markets, demand patterns and growth opportunities using Trade Map. Evaluate and prioritise target export markets based on market size, demand, growth potential, competition and Tanzania’s competitive position. Assess market access conditions by analysing tariffs, preferential trade arrangements and non-tariff measures affecting the competitiveness and market entry of Tanzanian products. Monitor international trade regulatory requirements using e-Ping, with particular focus on SPS and TBT notifications and their implications for export market access. Develop evidence-based export market strategies by integrating trade intelligence, market-access information and regulatory insights to support export promotion, market diversification and international market expansion.
Course Category: Training

Objective: Design and run statistical analysis workflows in R and RStudio. Produce high-quality scientific graphs and visualizations. Apply parametric and non-parametric methods, including hypothesis testing and multiple comparisons. Perform regression and ecological modelling with diagnostics, confidence intervals, and predictions. Prepare scientific reports that interpret and communicate statistical findings
Course Category: Training

Objective: To equip professionals with practical skills in using Microsoft Project to plan, schedule, allocate resources and track project performance so that projects are delivered successfully and on time, with better accountability and data-driven decision-making.
Course Category: Training

Objective: To equip participants with practical skills to collect, analyze, and visualize spatial data using open-source tools such as QGIS, so they can improve planning, monitoring, and data-driven decision-making in projects and development initiatives across Tanzania
Course Category: Training

Objective: To equip Tanzania Railways Corporation (TRC) electrical and energy systems maintenance technicians and artisans with practical skills and competencies to safely operate, inspect, test, troubleshoot, repair and maintain low-voltage electrical installations and associated energy systems at railway stations, depots and workshops, in accordance with IEC standards and TRC safety procedures
Course Category: Training

Objective: The training aims to equip participants with the technical knowledge and practical skills required for the safe and efficient operation of 220 kV/27.5 kV Traction Power Substations (TPS), covering electrical safety, Permit to Work (PTW), switching, isolation and earthing procedures, SCADA monitoring and control, traction power feeding and sectorization, equipment condition monitoring, fault diagnosis and emergency response, while strengthening operational coordination and decision-making to enhance personnel safety, equipment reliability and continuity of railway services. The training will be delivered in two batches, each lasting five (5) days: Batch 1: 16–20 November 2026 and Batch 2: 7–11 December 2026, with daily sessions running from 9:00 AM to 4:00 PM.
Course Category: Training

Objective: To equip trainees with the knowledge and practical skills required to select, plan, organise, execute and supervise civil engineering construction works using labour-based technology, with emphasis on appropriate use of local labour, materials, hand tools and light equipment.
Course Category: Training