NEOPOLIS × AKADEMY
Build the skills to use AI, automate workflows and develop new solutions. Explore the Neopolis Akademy catalogue, from first steps to hands-on projects.
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Certification preparation
Preparation path for the official Anthropic certification examination. Master enterprise architecture: solution design, production systems, responsible AI governance, and team enablement. Its courses include “Claude Platform Solution Design”,…
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Optimize production RAG systems: diagnose failure modes, apply query rewriting and reranking, design multi‑index retrieval, create synthetic datasets, use targeted metrics and set up human review workflows to…
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Establish auditable AI governance: inventory systems, risk classification, policies, alignment with NIST AI RMF and regulatory readiness, documentation and incident reporting.
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Deploy reliable AI workloads: containers, Kubernetes for GPU workloads, serverless approaches, vLLM model serving, autoscaling, reliability practices and levers to control cost and performance in production.
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Advanced training to secure LLM applications: threat identification, defenses against prompt injection and data leakage, hardening RAG pipelines, securing agents/tools, and mitigating supply-chain risks.
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Advanced program to instrument and monitor AI systems: traces, tokens, costs, latency, response quality, incidents and SLOs to improve reliability and observability of LLM applications.
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Advanced specialization on open‑source models: model selection and adaptation, dataset preparation, PEFT/LoRA/QLoRA/TRL methods, fine‑tuning and evaluation for deployment.
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Advanced course focused on using Codex to drive BI workflows: CSV profiling, star-schema modeling and data marts, DAX expressions, Power BI semantic models, executive reporting and pipeline automation.
View programmeCatalogues and programmes provided by Neopolis Akademy. Updated daily; enrolment takes place on Akademy.
