Upskill in AI—Fast

Go beyond the notebook and put vision models where they matter: in the factory, on the drone, at the edge. Starting with dataset curation and YOLO-v8 fine-tuning, you’ll compress models with ONNX/TensorRT, serve them through NVIDIA Triton, and deploy to Jetson or KServe with auto-scaling GPUs. The capstone—an end-to-end detection or segmentation system—gives you portfolio proof for Computer-Vision or Edge-AI roles in manufacturing, mining, retail, and robotics.

Turn terabytes of documents into instant, trustworthy answers. You’ll master embeddings, hybrid BM25 + vector ranking, and build multilingual RAG pipelines with pgvector, Pinecone, LangChain and OpenAI. Automated hallucination tests, governance dashboards, and Prometheus monitoring ensure your search or Q&A service stays accurate, compliant, and fast. Ideal for engineers modernising legacy Lucene stacks or delivering AI-powered knowledge bases in finance, legal, or energy sectors.

Unlock the full power of large-language models while meeting enterprise-grade security and compliance. In this 12-week cohort you’ll design and deploy Retrieval-Augmented Generation (RAG) services on Kubernetes, wire in bias- and PII-guard-rails, and build cost dashboards that keep CFOs happy. You’ll graduate with a live KServe endpoint, an MLflow-tracked fine-tune, and a governance playbook—exactly what hiring managers expect from a modern Generative-AI or LLM Engineer.

Deliver insights in under five seconds. This course takes you from change-data-capture with Debezium and Kafka to stateful stream processing in Apache Flink and Spark Structured Streaming. You’ll land data in a Delta Lakehouse, serve online features for ML, and wrap the entire pipeline with Prometheus observability and Great Expectations data contracts. Perfect for engineers facing IoT, click-stream, or telemetry workloads who need exactly-once guarantees at cloud scale.

Think like a Staff Engineer. Over 12 intensive weeks you’ll translate product goals into SLIs/SLOs, draft cost-aware architecture diagrams, and implement blue-green and canary roll-outs with Argo Rollouts. From feature stores and data lineage to drift dashboards and GDPR audit trails, you’ll learn the frameworks that underpin reliable, scalable machine-learning in production—then prove it with a peer-reviewed design doc and monitored service.