Practical Python programming and scripting for automation tasks (6+ months) API call access and event stream handling Exception handling, debugging, testing, and logging Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes) Familiarity with CI/CD pipelines and tools, such as Jenkins, GitLab, or GitHub Actions Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their services Experience with monitoring and logging tools, such as Prometheus, Grafana, and ELK stack (Elasticsearch, Logstash, Kibana) is recommended but not required Machine Learning concepts recommended - classification, regression, clustering
Predictive AI & Machine Learning
Comprehensive Generative AI Engineering for LLMOps
Offered by StorSoft through its training partners, the Comprehensive Generative AI Engineering for LLMOps course develops practical, mission-ready predictive AI & machine learning skills. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in classroom formats, typically over 5 days. Relevant background is recommended before enrollment. Completion supports readiness for the AI track.
Predictive AI & Machine LearningGenerative AI
Before you enroll
Prerequisites and certification path.
AI
Delivered through StorSoft
Schedule this course for your team.
StorSoft coordinates delivery through its authorized training partners, including Ascendient Learning, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.