Courses
Claude Code in Action
A Neopolis Akademy course on steering, securing, automating, and verifying longer Claude Code sessions with local media and sequential activities. Lessons cover “Steer the Work”, “Configure Claude”.
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NEOPOLIS × AKADEMY
Practical skills to use AI in your work.
72 results · Page 6 / 6
Courses
A Neopolis Akademy course on steering, securing, automating, and verifying longer Claude Code sessions with local media and sequential activities. Lessons cover “Steer the Work”, “Configure Claude”.
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Practical approach to AI‑assisted software engineering: code analysis, performance, testing, security, architecture, databases and human–AI collaboration, using local tools for interactive activities.
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Deep dive into the Model Context Protocol: message flows, roots management, transport selection and stateful StreamableHTTP communication. A technical course focused on integration and state exchanges using local…
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Explore Graph RAG with LangChain and Neo4j: combine hybrid retrieval and graph memory to enrich responses, structure reasoning and maintain a relational knowledge history.
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Practical exploration of multimodal models for vision, audio, video and image generation. Focuses on integrating multimodal data flows, compatible architectures, open-source libraries and concrete steps to assemble models…
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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.