NEOPOLIS × AKADEMY
Practical skills to use AI in your work.
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Courses
Hands-on introduction to embeddings with the OpenAI API: vector representations, semantic search and recommendation pipelines. Covers creating embeddings, indexing, vector querying and practical scaling strategies.
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Learn to design and deploy production-ready n8n workflows that incorporate local media and sequential autonomous tasks. This intermediate course focuses on building, orchestrating, and hardening reliable automated flows…
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Practical course on responsible GitHub Copilot use for software development: context engineering, customizing suggestions, testing strategies, code security and performance optimization within iterative development cycles.
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A Neopolis Akademy course on practical software development workflows with Claude Code, local media, interactive exercises, and sequential progression. Lessons cover “Getting Started with Claude Code”, “Extending Claude…
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Master efficient model training in PyTorch: data handling, optimized training loops, hyperparameter tuning, parallelism and best practices to speed convergence and lower compute cost.
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Learn to deploy robust AI APIs using FastAPI and Pydantic. The course addresses securing, optimizing, versioning and monitoring AI endpoints, with local hands-on media and sequential activities to…
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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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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.
View programmeCatalogues and programmes provided by Neopolis Akademy. Updated daily; enrolment takes place on Akademy.
