AI for Technology Transfer Professionals
Master the tools to accelerate innovation, IP, and commercialization.
AI-Powered Workflows
Expert-Led Network
Practical Commercialization Tools
AI is Now a Game-Changer for Tech Transfer
Discover how AI can supercharge invention reviews, IP drafting, market research, and commercialization — all in one practical course.
What to expect from this course
Understand How AI Fits into Tech Transfer
- Learn how AI can support each stage of the technology transfer process — from invention disclosure reviews and IP research to commercialization planning and licensee engagement.
- Gain confidence using AI tools in real-world tech transfer and academic innovation environments.
Apply AI to Real Innovation Challenges
- Use AI to accelerate tasks like market research, patent landscape mapping, feasibility assessments, and even investor pitch preparation.
- Develop practical AI-powered outputs you can immediately use in your TTO, startup, or university research group.
Work Smarter, Not Harder
- Automate routine processes, reduce manual workloads, and focus your time on strategic decisions.
- With prompt templates, real case studies, and interactive tasks, you’ll build skills that directly improve your tech transfer efficiency and impact.
What you’ll learn on this course
Duration
6 weeks
Course Format
Video, Quiz, Article
Level
All Levels
Study Method
Online
01
Introduction to Technology Transfer and the Role of AI
3 lectures and 1 quiz
Explore the fundamentals of technology transfer — from invention disclosures to commercialization pathways — and discover how AI, can revolutionize this process. Gain hands-on exposure to prompt engineering techniques that turn AI into a practical assistant for innovation, IP, and market analysis.
02
Initial Assessment of the Invention Disclosure
3 lectures, 2 exercises and 1 quiz
Learn how to streamline the early evaluation of invention disclosures using AI. This session covers how to automate the review process, generate smart checklists, and extract preliminary patentability insights — helping you assess novelty and non-obviousness efficiently. Includes real-world exercises and case study analysis to apply AI in decision-making.
03
In-Depth Evaluation and Feasibility Studies with ChatGPT
8 lectures, 2 exercises and 1 quiz
Master the use of AI for gathering critical data, assessing markets, and evaluating technologies with speed and clarity. This session walks you through competitor research, technology analysis, and feasibility scenario building — all enhanced by AI. Learn how to generate financial models, write feasibility reports, and prepare compelling presentations, while also unlocking AI’s creative potential through structured brainstorming exercises.
04
AI in Intellectual Property Management and Research
6 lectures and 1 quiz
Discover how AI can support every stage of early IP work — from researching legal frameworks to drafting patent descriptions. Learn to conduct AI-assisted prior art searches, generate IP documentation, and map competitive IP landscapes. Through hands-on exercises and a case study, you'll see how AI can accelerate IP analysis and documentation with accuracy and insight.
05
AI in Commercialization Strategies
5 lectures and 1 quiz
Leverage AI to accelerate the development of business plans, go-to-market strategies, and investor-facing materials. This session guides you through using AI to shape commercialization roadmaps, craft compelling marketing messages, and identify and engage potential licensees. You’ll build practical skills in strategic planning, outreach, and value proposition communication — all powered by AI.
06
AI & Spin-Out Creation
5 lectures and 1 quiz
Learn how to use AI to guide the creation and launch of university spin-outs and deep-tech startups. From assessing viability and drafting business plans to preparing investor pitches and understanding legal frameworks, this session equips you with AI-powered tools to navigate every step of spin-out formation. You’ll also explore how to identify mentors, partners, and industry networks using AI’s strategic search capabilities.
Artificial Intelligence is the electricity of the 21st century — and you're either plugged in, or left behind."
— Andrew Ng (adapted) —
This course is for you
Use AI to streamline invention evaluations, draft IP documents, and accelerate commercialization workflows. No technical background required — just bring your domain expertise.
Transform your research into impact by identifying market potential and drafting spin-out strategies with AI support. Learn how to use AI to bridge the gap between lab and industry.
Speed up business planning, feasibility analysis, and investor outreach using AI-powered prompts and templates. Gain practical tools to sharpen your go-to-market strategy.
Leverage AI to support IP assessments, competitive analysis, and strategic decision-making. Get equipped with the tools to guide innovation from idea to market.
Listen to real people, real results
Hello, I’m Ned
My Story
My story is defined by a lifelong commitment to bridging the gap between science and market, transforming academic research into global impact. With over two decades of experience in technology transfer, I’ve helped universities, startups, and governments unlock the full potential of innovation.
As the former Director of the University of Belgrade’s Center for Technology Transfer and a current mentor in leading European accelerators, I’ve supported hundreds of innovators in navigating intellectual property, securing investment, and building commercialization roadmaps. From writing IP policies to co-founding deep-tech startups, I’ve worked hands-on to translate breakthrough research into real-world solutions.
I now focus on empowering professionals with practical strategies and tools — especially AI-driven ones — to streamline the entire innovation lifecycle. Whether mentoring spin-outs or designing international programs, I bring a strategic, system-level approach to making knowledge matter.
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Beyond the classroom, I am a thought leader, continually pushing the boundaries of AI research. My dedication to ethical AI development and a forward-thinking approach sets the stage for you not only to understand the technology but also to contribute to its responsible and innovative growth.
My Experience
- 15+ years in technology transfer, innovation strategy & commercialization
- Founder & Co-Director of multiple startup accelerators (Labena Ventures, Founder Institute Serbia)
- Senior Expert & Mentor for WIPO, EIT, EC, Oxentia, Oxford Oracle, and many international incubators
- Co-founder of award-winning startups Dr. Knight and Harmonia Tech , focused on sustainablity
- Delivered keynotes and training in over 20 countries, supporting deep-tech ecosystems globally
Brands I worked with
Instructors & Contributors
With 25 years in global tech transfer, I help inventors turn research into impact. I’ve led university TTOs to ASX-listed startups and global licensing deals, and helped shape ATTP and RTTP. My work includes training and advising across Asia, including China, India, and Southeast Asia. Today, I focus on supporting innovators through strategic insight, capacity building, and AI-powered commercialization tools.
Dr. Andrew Sierakowski, RTTP
Director at Levey Rise Investments
Throughout my career, I’ve been dedicated to bridging the gap between science and society — turning research into real-world impact. With over 15 years of experience in technology transfer, innovation strategy, and startup acceleration, I help innovators, universities, and founders navigate the path from idea to market through actionable insights, strategic frameworks, and AI-powered tools.
Dr. Nedeljko Milosavljević, RTTP
Co-director at Labena Ventures
With nearly 30 years of experience, I’ve led innovation initiatives that bridge science, strategy, and commercialization. Trained as a biologist and shaped by academic, consultancy, and entrepreneurial roles—including at the University of Oxford and through my own international consultancy—I specialize in unlocking the social and financial value of research through high-impact partnerships, commercialization deals, and innovation training.
Dr. Nathan Pike, RTTP
Director at Oxford Oracle
Now opening
Starting at
Sep 20 2025
Price
$750
Early bird discount
20% off for register before Aug 01 2025
🔥 Join over 100 professionals who enrolled in just the first month!
This is your chance to be part of a one-time program — join the waitlist now and secure your spot before it's gone.
Find the answers to your questions here
What is this course about?
This course teaches you how to use ChatGPT and AI tools to streamline key processes in technology transfer — from invention disclosure reviews to commercialization, IP drafting, and spin-out support.
Who is this course for?
It’s ideal for technology transfer professionals, researchers, startup founders, innovation managers, and legal advisors involved in R&D commercialization.
Do I need prior AI or technical knowledge?
No technical background is required. The course starts with the basics of AI and prompt engineering, then moves into hands-on applications relevant to your work.
How is the course structured?
The course is divided into practical modules, each focusing on a key aspect of the tech transfer lifecycle. Every module includes videos, exercises, templates, and real-world case studies.
What tools will I need?
You only need access to ChatGPT (free or Pro version), a web browser, and basic office tools like Google Docs or Word. All necessary prompts and templates will be provided.
What will I be able to do by the end of this course?
You’ll be able to use AI to evaluate inventions, perform market and feasibility assessments, draft IP and commercialization documents, and prepare investor materials with confidence.
Will I receive a certificate?
Yes! Upon completing all required modules and assignments, you will receive a Certificate of Completion that you can add to your LinkedIn or CV.
How much time should I allocate for the course?
You can complete the course in 4–5 weeks by dedicating around 3–4 hours per week. It’s completely self-paced to fit your schedule.
Is there any support or mentorship?
Yes. You’ll have access to a peer group and optional live sessions for feedback, as well as discussion boards where you can ask questions and connect with others.
How is this course different from other AI courses?
This is the only course focused on the real-world application of AI in technology transfer and innovation management. It goes beyond theory and teaches you how to use AI as a productivity tool in your daily professional practice.
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