training baseline 2 Last updated on 1 October 2026 Research / Academia++ Big Industry SME HPC application developer System administrator System designer Data scientist / Analyst Executive / Technical lead HPC application user Basic HPC cluster usage Mastering heterogeneous memory systems Efficient usage of HPC systems Crash course on HPC The basics of CUDA Mastering heterogeneous memory systems Crash course on AI The basics of OpenACC Parallel programming on HPC systems Essentials of HPC Parallel programming - from beginner to specialist Basic system administration of HPC systems Essentials of uncertainty quantification The basics of big data analytics Introduction to performance analysis Crash course on data management Essentials of ML Introduction to performance analysis Python for parallel programming System design in practice Python for data analytics Evaluating ML models Python for parallel programming Essentials of ML Industry relevant HPC training Scaling up accelerator / MPI codes HPC and the cloud Supercomputing principles Essentials of COMPSs Evaluating ML models Parallel programming - from beginner to specialist Advanced topics in large scale HPC and AI The basics of big data analytics Computational fluid dynamics on HPC systems The Training Baseline 2 follows the career path model developed at EPCC. A metadata analysis was performed on the underlying course repository. You can view it here.
