GenAI and ML Academy

LLM engineering course covering large language models, fine-tuning, evaluation and deployment.

Retrieval-augmented generation training covering vector databases and production RAG systems.

Agentic AI developer course covering autonomous agents, reasoning, planning and tool use.

Multi-agent systems course covering collaborative agents and orchestration.

Machine learning course taught with Python, covering supervised and unsupervised learning, algorithms and evaluation.

Advanced machine learning course covering ensemble methods, feature engineering and optimisation.

Deep learning course covering neural networks, CNNs, RNNs and transformers with PyTorch and TensorFlow.

MLOps course covering Docker, Kubernetes, CI/CD, monitoring and scaling of machine learning systems.

Natural language processing course covering text processing and language model techniques.

Computer vision course covering image processing, object detection, YOLO and OpenCV.

Reinforcement learning course covering Q-learning and policy gradients.

End-to-end data science course with AI, covering analytics and visualisation.

Python course for machine learning covering scikit-learn, model building and ML pipelines.