Courses
AI Data Engineering and RAG Practitioner
Design robust data pipelines for RAG: ingestion, parsing, chunking, embeddings, vector and hybrid search, access control, citation handling, and data refresh strategies.
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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.
116 results · Page 9 / 10
Courses
Design robust data pipelines for RAG: ingestion, parsing, chunking, embeddings, vector and hybrid search, access control, citation handling, and data refresh strategies.
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Learn to design AI products that are useful and adopted by combining product discovery, human-centered UX, human-in-the-loop feedback, trust-building, and launch metrics. Practical focus on UX, feedback loops,…
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Master building complete AI applications: streaming interfaces, secure backends, authentication, persistence, file handling, tool integration and deployment. A modular path covering foundations, APIs, frontend UX and testing/deployment.
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Exploration of large language model fundamentals: Transformer architecture, tokenization, dataset preparation and training workflows. A technical approach focused on understanding components and training stages.
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Preparation path for the official Anthropic certification examination. Design AI systems at scale: API architecture, multi-cloud deployment, Claude Code, and Model Context Protocol. Its courses include “AI Fluency:…
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Advanced course on Databricks automation via the Python SDK: managing clusters, jobs, and deploying AI models. Details programmatic use of APIs and structuring reproducible pipelines within a Databricks…
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Learn to design and orchestrate AI agents using smolagents. The course presents agent construction, RAG approaches, inter-agent communication and coordination, and multi-agent workflows to tackle complex tasks.
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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…
View programmeCatalogues and programmes provided by Neopolis Akademy. Updated daily; enrolment takes place on Akademy.