Generative AI & Machine Learning Engineer
Build and deploy real ML pipelines and LLM-powered apps, from data prep to model serving.
Course catalogue
20 live online programmes across 6 subjects. Filter by subject, search by topic, and compare duration and fees.
Build and deploy real ML pipelines and LLM-powered apps, from data prep to model serving.
CNNs, RNNs, and transformer architectures, trained hands-on with live GPU lab sessions.
Fine-tuning, prompt engineering, and retrieval-augmented generation for production LLM apps.
Image classification, object detection, and deployment of vision models to edge devices.
Hands-on labs across the three major clouds — networking, storage, IAM, and cost control.
CI/CD pipelines, container images, and production-grade Kubernetes clusters, taught live.
Monitoring, incident response, and reliability practices used by production on-call teams.
Provision and version cloud infrastructure using Terraform modules and CI/CD workflows.
Pipelines, warehousing, and dashboards using modern data-stack tooling and live datasets.
Distributed processing at scale — batch and streaming pipelines on real cluster environments.
Turn raw data into decision-ready dashboards using industry-standard BI tooling.
Penetration testing, network defense, and vulnerability assessment in supervised live labs.
Securing multi-cloud environments and mapping controls to common compliance frameworks.
Frontend, backend, databases, and deployment — ship a complete production-grade web app.
Cross-platform app development from prototype to app-store-ready release.
REST and GraphQL API design, authentication, and scalable backend system patterns.
Design, program, and fly custom drone builds; intro to robotics control systems.
Build and deploy smart contracts and decentralized applications on live testnets.
Sensor networks, embedded firmware, and connected-device pipelines from board to cloud.
Build interactive AR/VR experiences using industry game and immersive-tech engines.
Fees shown are per learner and are paid in full when you enrol. Applicable taxes, if any, are shown before payment.
Tell us about your background and goals, and the admissions team will suggest a starting point.