LTTI · Level 6 Diploma

Engineer the Automated Logic Systems of Tomorrow

AI is actively rewriting global productivity paradigms. This pioneering Level 6 program targets analytical coders ready to design, optimise, and deploy autonomous intelligent software systems that solve real African development challenges.

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Core Curriculum

Machine Learning Workflows Design end-to-end ML pipelines: data collection, feature engineering, model selection, training, evaluation, and iterative optimisation using Scikit-learn and TensorFlow.

Neural Networks & Deep Learning Implement convolutional neural networks (CNNs), recurrent networks (RNNs/LSTMs), and transformer architectures for vision, language, and time-series tasks.

Natural Language Processing Build text classification, named entity recognition, sentiment analysis, and generative text systems using Hugging Face Transformers and spaCy.

Computer Vision Systems Develop object detection, image segmentation, and real-time video analysis pipelines using OpenCV and YOLO-family architectures.

AI Ethics & Responsible Deployment Analyse bias in training data, implement fairness metrics, and navigate regulatory frameworks for AI governance in the African context.

Capstone: AI for African Development Design and deploy a functional AI solution addressing a real challenge in Kenyan fintech, sustainable agriculture, or healthcare infrastructure — presented to an industry panel.

Lab Edge

GPU-Accelerated AI Training Infrastructure

LTTI provides access to GPU compute resources for model training, a curated library of African development datasets, and a structured capstone programme where students build deployable AI solutions. Industry partners review final projects, with top graduates offered direct employment referrals.

LTTI AI Programming student reviewing model training curves on a high-resolution monitor — TensorFlow loss graph, Jupyter notebook, GPU utilisation panel, focused modern lab atmosphere

Technology Stack

Python TensorFlow PyTorch Scikit-learn Hugging Face OpenCV spaCy FastAPI Docker Google Colab YOLO LangChain

Career Outcomes

AI Programmer

Machine Learning Engineer

NLP Engineer

Computer Vision Developer

Automation Specialist

Cognitive Systems Developer

AI Product Manager

ML Ops Engineer

Duration 2 Years

Entry KCSE C– (Minus) or equivalent TVETA qualification

Status Applications Open

Regulator TVETA Licensed

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Engineer the Automated Logic Systems of Tomorrow

Core Curriculum

Lab Edge

Technology Stack

Career Outcomes

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