AI & Deep Tech for Sustainable Innovation: ISO-Driven Approach
Course format: Online
This course equips learners with practical knowledge in AI-driven Deep Tech innovation, focusing on ISO standards, sustainability, and commercialization strategies. Participants will explore ISO 56002 (Innovation Management), ISO 42001 (AI Governance), and ISO 9001 (Quality Management) while applying AI to solve real-world challenges. The course is ideal for undergraduate and postgraduate students, as well as professionals aiming to integrate ISO-aligned innovation frameworks into Deep Tech development.
Course Description
Learner pre-requirements
This course is open to learners with a background in technology, engineering, business, or related fields. While no prior ISO certification is required, basic knowledge of AI, innovation management, or Deep Tech concepts is recommended. The course is suitable for undergraduate and postgraduate students, as well as professionals seeking to develop AI-driven innovation skills aligned with ISO standards and sustainability principles.
Learning objectives
Analyze the role of AI and Deep Tech in driving technological innovation across industries.
Apply ISO 56002 (Innovation Management) and ISO 42001 (AI Governance) principles to Deep Tech development.
Evaluate sustainability challenges and integrate ESG principles into AI-driven technological solutions.
Design scalable business models aligned with ISO 9001 (Quality Management) to enhance innovation processes.
Develop real-world Deep Tech solutions that incorporate sustainability, innovation management, and quality assurance frameworks.
Assess funding mechanisms, including EIT Deep Tech Talent programs, venture capital, and research grants.
Collaborate on a capstone project applying AI and Deep Tech strategies to solve sustainability challenges.
Skills addressed
AI-driven innovation; Deep Tech strategy; ISO 56002 (Innovation Management); ISO 42001 (AI Governance); ISO 9001 (Quality Management); Sustainable technology development; ESG principles; AI ethics; Deep Tech commercialization; Venture capital funding; Research and development management; Systems thinking; Problem-solving; Critical analysis; Technology policy and regulation.
Course structure
The "AI & Deep Tech for Sustainable Innovation: ISO-Driven Approach" course is designed as a 50-hour structured program, divided into five key modules. Each module covers essential aspects of Deep Tech, artificial intelligence, sustainable innovation, and international standards, with a strong focus on practical application.
Introduction to Deep Tech and AI (10 hours)
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Overview of Deep Tech fields: AI, robotics, biotech, quantum computing.
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The role of AI as a driver of Deep Tech innovations.
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European Deep Tech ecosystem and EIT Deep Tech Talent initiatives.
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Ethical and regulatory challenges in AI and emerging technologies.
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Introduction to ISO 42001 (AI management systems) and its relevance.
Innovation Management and ISO Standards in Deep Tech (10 hours)
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Fundamentals of innovation management in technology-driven sectors.
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Application of ISO 56002 (Innovation Management System) in Deep Tech.
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Agile, Lean, and Design Thinking approaches to Deep Tech development.
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Best practices in startup acceleration and product commercialization.
Sustainability and ESG in Deep Tech (10 hours)
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ESG principles in AI and Deep Tech development.
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Application of ISO 9001 (Quality Management Systems) in Deep Tech.
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Ethical considerations and responsible AI development.
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Case studies of sustainable technology-driven innovations.
Commercialization of Deep Tech Solutions (10 hours)
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Strategies for scaling AI and Deep Tech solutions.
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Understanding funding mechanisms: grants, venture capital, and EU innovation programs.
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Integrating ISO 26000 (Corporate Social Responsibility) and ISO 20400 (Sustainable Procurement) in business strategies.
Capstone Project: Deep Tech Case Study (10 hours)
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Students collaborate on a real-world Deep Tech challenge.
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Application of innovation management, sustainability, and quality standards.
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Final project presentation with feedback from industry experts.
By the end of the course, participants will have practical knowledge of Deep Tech innovation, sustainable AI development, and ISO standards integration, equipping them for industry and research roles.
Teaching design
This course follows a blended learning model, combining instructor-led sessions, self-paced online learning, and interactive project-based activities. The 50-hour curriculum is structured as follows:
Live online lectures and expert talks (30%)
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Delivered by academic and industry experts from DiTELC Switzerland, Warsaw University of Technology, and ISO certification specialists.
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Live Q&A sessions, interactive discussions, and deep dives into case studies.
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Guest speakers from the Deep Tech industry and sustainability sectors.
Self-paced learning and assignments (40%)
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Recorded lectures, reading materials, and quizzes available on the course platform.
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Individual assignments focusing on applying ISO frameworks to Deep Tech projects.
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Reflective exercises on AI ethics, governance, and sustainability challenges.
Group collaboration and hands-on projects (30%)
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Students work in teams on a Deep Tech case study, integrating ISO standards and sustainability principles.
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Peer feedback sessions and expert mentoring.
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Final presentation of project outcomes to industry and academic experts, with top teams receiving recommendations for EIT Deep Tech Talent accelerator programs.
The course is designed to provide a dynamic, interactive, and industry-aligned learning experience, ensuring participants develop real-world skills in AI, Deep Tech innovation, and sustainability.
Application process
