Business100% OFF

ISO 9001:2026 Lead Implementer: costruire un SGQ

Udemy Instructor

0(3 students)

Self-paced

All Levels

About this course

In questo corso vengono utilizzati strumenti di intelligenza artificiale. La ISO 9001 è uscita nel 2026 nella sua sesta edizione. Chi oggi costruisce un sistema di gestione per la qualità lo costruisce su questa edizione, e deve sapere che cosa è davvero cambiato.

La premessa della norma elenca sei modifiche principali: i termini fondamentali nel punto 3, la cultura della qualità e il comportamento etico nei requisiti, la separazione tra rischi e opportunità nel punto 6. 1, una gestione delle modifiche rafforzata nel punto 6. 3, un'Appendice A molto più ampia e l'eliminazione dell'Appendice B.

Il corso insegna ognuna di queste modifiche direttamente dal testo della norma e la separa con cura dai requisiti che esistevano già nel 2015 e dai miti che circolano sulla revisione. Il corso segue l'ordine di una vera implementazione, non la numerazione dei punti: decisione e mandato, business case, governance del progetto e gap analysis; poi contesto, campo di applicazione, processi, politica, rischi, opportunità e obiettivi; quindi supporto, attività operative, valutazione delle prestazioni e miglioramento, fino all'audit di Stage 1 e di Stage 2 dell'organismo di certificazione. Per tutto il percorso accompagniamo Meridia Precision Tools GmbH, un produttore di componenti metallici di precisione con stabilimenti a Sindelfingen, Brno e Gliwice.

Il nuovo stabilimento di Gliwice costruisce il proprio SGQ direttamente sull'edizione 2026: vedrete ogni decisione, ogni documento e ogni errore lungo la strada, con nomi, numeri e obiezioni realistici. Che cosa include67 lezioni in 9 sezioni, circa 6 ore di videoUn pacchetto di 40 modelli Word in italiano: business case, project charter e matrice RACI, gap analysis, analisi del contesto, registro dei rischi e delle opportunità, obiettivi per la qualità, registro delle tarature, matrice delle competenze, programma di audit interno, riesame di direzione, azioni correttive, piano di transizione e altro, ciascuno con un esempio compilato per Meridia8 quiz di sezione con 64 domande e un test di pratica di 64 domande3 esercitazioni con soluzioni svolte complete Per chi è particolarmente utilePer chi deve costruire un SGQ da zero o portare un sistema conforme alla ISO 9001:2015 all'edizione 2026. Una lezione dedicata analizza le dieci trappole più comuni dell'implementazione, un'altra il passaggio dal 2015 al 2026 entro il periodo di transizione.

Skills you'll gain

OperationsItalian

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$70.99

Save $70.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/iso-90012026-lead-implementer-costruire-un-sgq

This comprehensive course is designed for professionals who want to deepen their understanding of supply chain management and optimize their organization’s supply chain operations. The "Professional Diploma in Supply Chain Management" provides you with the strategic skills and knowledge needed to manage supply chain processes effectively and efficiently in today's global marketplace.Whether you are a beginner looking to enter the field or a seasoned professional seeking to enhance your knowledge, this course covers all the critical components of modern supply chain management. From procurement and inventory management to logistics, distribution, and risk management, you will develop a thorough understanding of how supply chains operate and how to improve them to deliver results.By completing this course, you will gain valuable insights into supply chain strategy, operations, and technology, learning to align procurement practices with business goals, forecast demand accurately, and manage suppliers and logistics networks. Additionally, you will explore sustainability in the supply chain and understand the importance of ethical procurement practices.The course concludes with real-world case studies and practical examples to ensure that you can immediately apply your new skills in your organization. Upon completion, you will earn a professional diploma in supply chain management, validating your expertise and opening doors to advanced career opportunities.Join us today and take the next step in mastering supply chain management, driving efficiency, reducing costs, and improving operational performance.

Senior Executive Program: AI, Robotics, and Systems

Udemy Instructor

This course contains the use of artificial intelligence(AI).The Senior Executive Program for Technology Leaders: AI, Robotics, and Systems is a transformative one-year leadership journey designed for forward-thinking executives who seek to lead the future of intelligent enterprises. Built at the intersection of artificial intelligence (AI), robotics, and complex systems innovation, this program empowers senior leaders to architect digital transformation strategies that drive sustainable growth, resilience, and competitive advantage in a rapidly evolving technological landscape.Across 52 immersive weeks, participants explore the full spectrum of emerging technologies shaping the Fourth Industrial Revolution — from machine learning, deep learning, and generative AI, to industrial robotics, Internet of Things (IoT), digital twins, and quantum computing. Each module blends strategic foresight, hands-on labs, and executive-level application, ensuring that learners not only understand the technologies but can translate them into business impact.The curriculum begins with Technology Leadership in the Age of Intelligence, helping participants build a clear vision and innovation culture aligned with enterprise strategy. As they progress, they master AI foundations, data governance, robotics systems, and automation maturity models, developing the ability to assess readiness, manage risk, and lead multidisciplinary teams across global organizations. Executives engage with systems thinking, exploring cyber-physical systems, feedback loops, and systems integration — critical skills for managing interdependencies across AI, robotics, and IoT ecosystems.The program delves deeply into intelligent automation, cognitive agents, and AI-driven decision systems, empowering leaders to harness MLOps, cloud infrastructure, and edge computing for enterprise scalability. Through specialized labs, learners design AI-enabled workflows using platforms like ChatGPT, IBM watsonx, and NVIDIA Jetson, bridging strategy with technical fluency. Later modules extend into human-robot collaboration, ethics, responsible AI, and regulatory frameworks, equipping participants to govern innovation with accountability and transparency.Beyond technology, the program emphasizes strategic foresight, innovation leadership, and corporate entrepreneurship. Executives explore AI in business strategy, supply chain resilience, energy systems, national competitiveness, and tech diplomacy, preparing them to operate effectively in complex global ecosystems. A dedicated focus on cybersecurity, bias mitigation, and sustainable AI ensures graduates lead responsibly in data-driven enterprises.The capstone project allows participants to synthesize learning by crafting an integrated AI-Robotics-Systems strategy for their organization — supported by peer feedback and executive panel evaluation. By graduation, leaders will have developed not only a strategic technology roadmap but also the executive communication, influence, and decision intelligence needed to drive large-scale transformation initiatives.Whether you’re a Chief Technology Officer (CTO), Chief Digital Officer (CDO), or innovation-driven senior executive, this program will enable you to align emerging technologies with business value, build resilient organizations, and lead confidently in the era of intelligent systems. Through a balance of visionary theory, real-world case studies, and immersive labs, the Senior Executive Program for Technology Leaders equips you to become the architect of your enterprise’s AI-powered future.Keywords: AI, robotics, systems thinking, intelligent enterprises, digital transformation, machine learning, deep learning, generative AI, IoT, quantum computing, MLOps, cloud infrastructure, automation, governance, data strategy, cyber-physical systems, foresight, leadership, innovation, decision intelligence, sustainable AI, enterprise strategy, executive education.

AI Governance and Security

Udemy Instructor

This course contains the use of artificial intelligence.AI Governance and Security is a practical course designed to help professionals understand how to manage the risks, security concerns, privacy obligations, and oversight requirements associated with artificial intelligence. As organizations adopt generative AI, large language models, AI assistants, and autonomous agents, strong governance is essential for protecting data, maintaining compliance, and ensuring responsible use.The course begins with the foundations of AI governance. You will explore common AI risk categories, including security, privacy, operational, ethical, legal, financial, and reputational risks. You will learn how policies, controls, accountability structures, and oversight committees help organizations manage AI consistently. You will also examine how responsibilities can be shared across business, technology, security, legal, compliance, and risk teams.The security section focuses on important AI security risks. You will learn how sensitive information may be exposed through prompts, model responses, connected tools, logs, training data, and external integrations. The course explains prompt injection, indirect prompt injection, model abuse, unauthorized tool use, and other threats that can affect generative AI applications and AI agents. You will also learn why permissions, isolation, validation, and human approval are important when AI systems can take actions.The course then addresses AI compliance and privacy. You will explore regulatory considerations, responsible data handling, consent, access, retention, documentation, and audit readiness. You will learn how organizations can identify sensitive information, limit unnecessary data exposure, and maintain evidence showing how AI systems are designed, reviewed, approved, and monitored.In the enterprise-controls section, you will examine role-based access control, permissions, logging, monitoring, approvals, exception handling, and incident response. These controls help organizations understand who used an AI system, what data was accessed, what actions were taken, and whether established policies were followed. You will also learn how approval workflows can be designed for higher-risk use cases.The final section focuses on responsible AI deployment. You will learn how to conduct AI risk assessments, define human review requirements, document decisions, manage exceptions, and build a repeatable governance operating model. The course emphasizes balancing innovation with safety rather than treating governance as a barrier to progress.By the end of AI Governance and Security, you will understand how to evaluate AI risks, protect sensitive data, improve security, support compliance, and create practical enterprise controls. You will be prepared to contribute to governance programs involving responsible AI, AI risk management, AI security, data privacy, regulatory compliance, and enterprise AI governance.This course is ideal for executives, managers, architects, developers, security professionals, risk teams, auditors, privacy specialists, legal professionals, consultants, and anyone responsible for deploying AI safely and responsibly.

0.0•425•Self-paced

FREE$88.99

Enroll

ISO 9001:2026 Lead Implementer: costruire un SGQ

About this course

Skills you'll gain

Available Coupons