# Corporate AI courses: choose the right path Artificial intelligence creates value when it enters daily work with method: documents, recurring decisions, handoffs between functions, quality controls and operational responsibilities. Artik Lab courses are not a generic catalog of AI lessons. They are paths designed around the client's processes, built to turn individual use of AI tools into governable, measurable and repeatable company practices. ## Start from AI Workflow Redesign Lab For most companies, the first issue is not choosing an AI tool. It is understanding which activities should be redesigned, which data can be used, which risks need governance and which capabilities must remain inside the company. ## Training adapted to the company context, not standard lessons. Dynamic Training Rework is Artik Lab's proprietary method: the path is not identical from the first to the last session, but is recalibrated around processes, roles, materials and priorities that emerge with participants. Companies are flooded with generic AI training, often full of examples far from real work. DTR avoids that waste and turns advanced AI tools into practices people can actually use. ## Before choosing the format, recognise the process. The Atlas gathers concrete AI application examples across documents, operations, HR, marketing, software, governance, production, training and data. It helps decide whether the need requires consulting, data analysis, technical development or training. [Open the Atlas](https://ar-tik.com/en/ai-applications-atlas.md) ## Course catalog ### AI Workflow Redesign Lab Practical corporate course for applying AI to workflow redesign, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 8 hours, configurable as 2 or 4 sessions - Choose it if: When the company wants concrete progress on workflow redesign and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for workflow redesign. - URL: https://ar-tik.com/en/courses/workflow-redesign.html ### Managing AI Practical corporate course for applying AI to managerial AI adoption, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on managerial AI adoption and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for managerial AI adoption. - URL: https://ar-tik.com/en/courses/managing-ai.html ### Managing AI for mixed company teams Practical corporate course for applying AI to cross-functional AI alignment, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on cross-functional AI alignment and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for cross-functional AI alignment. - URL: https://ar-tik.com/en/courses/managing-ai-general.html ### Operational AI Governance Practical corporate course for applying AI to operational AI governance, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on operational AI governance and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for operational AI governance. - URL: https://ar-tik.com/en/courses/ai-governance.html ### AI Business Case & ROI Sprint Practical corporate course for applying AI to AI business cases and ROI, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours or a half-day sprint - Choose it if: When the company wants concrete progress on AI business cases and ROI and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for AI business cases and ROI. - URL: https://ar-tik.com/en/courses/ai-business-case-roi.html ### AI Adoption Manager / AI Champions Practical corporate course for applying AI to AI adoption champions, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 6-8 hours, configurable - Choose it if: When the company wants concrete progress on AI adoption champions and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for AI adoption champions. - URL: https://ar-tik.com/en/courses/ai-adoption-manager.html ### Role-Based AI Literacy & Responsible Use Practical corporate course for applying AI to role-based AI literacy, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-8 hours, adaptable by role - Choose it if: When the company wants concrete progress on role-based AI literacy and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for role-based AI literacy. - URL: https://ar-tik.com/en/courses/ai-literacy.html ### AI course: managing documents with AI Practical corporate course for applying AI to document management, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 8 hours, customisable - Choose it if: When the company wants concrete progress on document management and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for document management. - URL: https://ar-tik.com/en/courses/ai-documenti.html ### AI course: AI-driven marketing and communication Practical corporate course for applying AI to marketing and communication, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 8 hours, customisable - Choose it if: When the company wants concrete progress on marketing and communication and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for marketing and communication. - URL: https://ar-tik.com/en/courses/ai-marketing.html ### AI course: B2C and B2B sales with AI Practical corporate course for applying AI to B2B and B2C sales, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 8 hours, customisable - Choose it if: When the company wants concrete progress on B2B and B2C sales and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for B2B and B2C sales. - URL: https://ar-tik.com/en/courses/ai-vendite.html ### AI for administration and management control Practical corporate course for applying AI to finance and management control, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on finance and management control and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for finance and management control. - URL: https://ar-tik.com/en/courses/ai-admin-finance.html ### AI Operations Practical corporate course for applying AI to operations and process coordination, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on operations and process coordination and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for operations and process coordination. - URL: https://ar-tik.com/en/courses/ai-operations.html ### AI Legal Ops and compliance documentation Practical corporate course for applying AI to legal operations and compliance documents, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on legal operations and compliance documents and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for legal operations and compliance documents. - URL: https://ar-tik.com/en/courses/ai-legal-ops.html ### AI for procurement and supplier intelligence Practical corporate course for applying AI to procurement and supplier intelligence, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on procurement and supplier intelligence and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for procurement and supplier intelligence. - URL: https://ar-tik.com/en/courses/ai-procurement.html ### AI for customer service and ticket triage Practical corporate course for applying AI to customer service and ticket triage, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on customer service and ticket triage and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for customer service and ticket triage. - URL: https://ar-tik.com/en/courses/ai-customer-service.html ### AI for quality and non-conformities Practical corporate course for applying AI to quality and non-conformities, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on quality and non-conformities and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for quality and non-conformities. - URL: https://ar-tik.com/en/courses/ai-quality-management.html ### AI People Ops Practical corporate course for applying AI to People Ops and HR workflows, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on People Ops and HR workflows and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for People Ops and HR workflows. - URL: https://ar-tik.com/en/courses/ai-people-ops.html ### AI Brand Voice and communication Practical corporate course for applying AI to brand voice and communication, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on brand voice and communication and needs training that produces usable workflows, not abstract theory. - Profile: For managers and non-technical teams; no programming required. - Final output: Operating canvas for brand voice and communication. - URL: https://ar-tik.com/en/courses/ai-brand-voice.html ### Semantic search and AI knowledge bases Practical corporate course for applying AI to semantic search and knowledge bases, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 60-90 minuti o modulo breve - Choose it if: When the company wants concrete progress on semantic search and knowledge bases and needs training that produces usable workflows, not abstract theory. - Profile: For technical teams with programming and software architecture basics. - Final output: Operating canvas for semantic search and knowledge bases. - URL: https://ar-tik.com/en/courses/embeddings.html ### RAG Engineering for reliable AI systems Practical corporate course for applying AI to RAG engineering, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 5 hours, two 2.5-hour sessions - Choose it if: When the company wants concrete progress on RAG engineering and needs training that produces usable workflows, not abstract theory. - Profile: For technical teams with programming and software architecture basics. - Final output: Operating canvas for RAG engineering. - URL: https://ar-tik.com/en/courses/rag-engineering.html ### AI Coding Agents for software teams Practical corporate course for applying AI to AI coding agents, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, two 2-hour sessions - Choose it if: When the company wants concrete progress on AI coding agents and needs training that produces usable workflows, not abstract theory. - Profile: For technical teams with programming and software architecture basics. - Final output: Operating canvas for AI coding agents. - URL: https://ar-tik.com/en/courses/ai-coding-agents.html ### AI Software Engineering Practical corporate course for applying AI to AI software engineering, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 5 hours, two 2.5-hour sessions - Choose it if: When the company wants concrete progress on AI software engineering and needs training that produces usable workflows, not abstract theory. - Profile: For technical teams with programming and software architecture basics. - Final output: Operating canvas for AI software engineering. - URL: https://ar-tik.com/en/courses/ai-software-engineering.html ### Secure AI SDLC Practical corporate course for applying AI to secure AI software lifecycle, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on secure AI software lifecycle and needs training that produces usable workflows, not abstract theory. - Profile: For technical teams with programming and software architecture basics. - Final output: Operating canvas for secure AI software lifecycle. - URL: https://ar-tik.com/en/courses/secure-ai-sdlc.html ### Secure AI at Work Practical corporate course for applying AI to secure AI use at work, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4 hours, adaptable by function - Choose it if: When the company wants concrete progress on secure AI use at work and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for secure AI use at work. - URL: https://ar-tik.com/en/courses/secure-ai-at-work.html ### AI Output Quality & Human Review Practical corporate course for applying AI to AI output quality and human review, with exercises on realistic work, reusable materials and clear governance criteria. - Duration: 4-6 hours, customisable - Choose it if: When the company wants concrete progress on AI output quality and human review and needs training that produces usable workflows, not abstract theory. - Profile: For company teams, operational functions and managers; no programming required. - Final output: Operating canvas for AI output quality and human review. - URL: https://ar-tik.com/en/courses/ai-output-quality.html ## FAQ ### Why start from AI Workflow Redesign Lab? Because before introducing tools or automation the company needs to understand which workflows have real potential, which data can be used and which controls are necessary. ### Are courses standard or customised? The structure is stable, but content, examples, exercises and priorities are adapted to the client's processes. ### Is programming required? No for introductory, managerial and operational paths. It is required only in technical paths. ### What remains after the course? Operating materials, context-specific examples, usage criteria and a view of high-potential workflows.