This study examined the relationship between training programmes and employees' productivity in local governments in Uganda, focusing on Entebbe Municipal Council. Guided by three objectives-assessing training programmes, establishing productivity levels, and determining the relationship between them-the study adopted a descriptive cross-sectional and correlational design. From a target population of 140 employees, a sample of 103 respondents was selected using Krejcie and Morgan's (1970) table and stratified random sampling. Data were collected through a five-point Likert-scale questionnaire and analysed using SPSS, employing descriptive statistics, Pearson correlation, and simple linear regression. Results showed a high overall Training Index (M = 3.51) and a high overall Productivity Index (M = 3.61), with training weakest on pre-training needs assessment (M = 2.94). A moderately strong, positive, and statistically significant correlation was found between training and productivity (r = 0.548, p < 0.01), and regression analysis confirmed that training significantly predicts productivity (β = 0.532, p < 0.01), explaining 30.0% of the variance (R² = 0.300). The study concludes that structured, needs-based training programmes meaningfully enhance employee productivity in local government settings and recommends that Entebbe Municipal Council institutionalise systematic training needs assessment, increase training frequency, and adopt a formal training policy.