Courses

Build applications with large language models: prompting, retrieval-augmented generation and evaluation.

MCP and A2A · LangGraph, CrewAI, Agent Frameworks · Evaluation and production readiness

Analyse data and build, evaluate and deploy machine learning models with Python.

Build reliable batch and streaming data pipelines and data platforms.

Python 3.14 · PCEP and PCAP preparation · Automation, data and testing

SAA-C03 and SAA-C04 · Well-Architected Framework · Hands-on AWS account

Exam AZ-305 · Design over implementation · Case study technique

Professional Cloud Architect · Four published case studies · Trade-off reasoning

AWS, Azure, GCP and OCI · Cross-cloud interconnect · Migration planning and execution

CKA and CKAD preparation · Troubleshooting-weighted · Live cluster throughout

Terraform Associate 004 · Terraform 1.12 and OpenTofu · Modules, state and CI/CD

Pipelines, ArgoCD and Flux · Progressive delivery · DORA metrics and platform practice