Building and Operating Trustworthy AI Applications with Validation Driven Machine Learning (VDML)
This practical two-day course is designed to provide a comprehensive understanding of Validation Driven Machine Learning: a practical methodology for deploying trustworthy machine learning enabled systems such as chatbots driven by large language models and image analysis systems.
The course blends theoretical knowledge with practical exercises and is suitable for professionals looking to implement or enhance ML solutions using the VDML methodology.
Courses coming soon in Canberra, Brisbane, Melbourne, and Sydney. Register your interest here
or contact your local KJR General Manager:
Key information
- Face-to-face
- 2 Days (Consecutive)
- Workshop date will be released soon
- Price: $1000 ex-GST
Course topics:
Day 1:
Understanding VDML and its Foundations
⚡ Introduction to VDML
Overview of VDML, Key Stages in VDML, Hands-on Exercise
⚡ Evolution of Machine Learning
History & Evolution, Deep Learning & Impact on AI
⚡ Machine Learning Failures
Common Failure Modes in ML, Hands-on Exercise
⚡ Evaluation & Optimisation in VDML
Exploration of ML Model Development, Focus on Iterative Development with Large Language Models, Hands-on Exercise
⚡ Key Concept of VDML
Detailed Exploration of Key Concepts, Hands-on Exercise
Day 2:
Practical Application of VDML
⚡ ML vs Traditional Software Development
Differences ML/Traditional Software Development, Introduction to Data-Centric AI, Active Learning, and Transfer Learning, Hands-on Exercise
⚡ The Data Store in VDML
Role & Management of the Data Store, Hands-on Exercise
⚡ Applying VDML in the real-world
Monitoring & Governing Model Performance, Hands-on Exercise
⚡ Team Roles in VDML
Overview of Various Team Roles, Roles Interplay & Collaboration
⚡ Conclusion and Q&A
Key Takeaways, Conclusion and Q&A
What's included?
Expert Workshops
Learn from leading industry experts in tech and business.
Hands-on Exercises
Gain practical experience in developing and operating machine learning-enabled systems.
Interactive Sessions
Engage in interactive sessions that facilitate collaborative learning and discussion among participants.
Networking Opportunities
Connect with peers and industry who share a common interest in AI deployment and governance.
Who is it for?
This workshop is intended for technical practitioners and any professionals looking to implement or enhance ML solutions using the VDML methodology.
Where is it delivered?
📍 Upcoming workshops in Melbourne, Canberra, Sydney and Brisbane
Participants have to join in-person to attend the program.
How to register?
and we will get back to you with further details
More Questions?
Reach out to KJR at info@kjr.com.au if you have any questions.
This program is delivered by KJR. KJR is a founding member of the Queensland AI Hub
KJR is an Australian Software Quality Engineering Consultancy and a leading practitioner in Responsible AI implementation. Founded on over 26 years of experience in quality assurance and verification, KJR has always understood the importance of managing IT risk and especially do so now with the steady maturation of various emerging technologies. We recognise the potential of Artificial Intelligence and Machine Learning and see the specific challenges these technologies pose to traditional forms of quality assurance. We have harnessed our expertise to develop practical approaches to assuring compliant and successful deployments of AI solutions.
Your Trainers
KJR CTO
ACS AI Ethics Committee Vice-Chair
Mark is an IT professional with a passion for digital culture. During the week, he leads his team at KJR through straight-talking solutions to software problems. In his spare time, he can be found crafting soundscapes and audio/visual installations that embrace technology’s propensity for playfulness and expression. As CTO, Mark’s technical knowledge and lateral thinking abilities are counted on to lead critical software projects safely out of the red and into the light. And, as a world-class software risk analyst and advisor, he thrives on the satisfaction of bettering lives with technology that actually works.
KJR Founder
Dr Kelvin Ross is an entrepreneur, technologist and researcher. He is the founder and Chairman of KJR, CTO to Datarwe, Director of the Queensland AI Hub, and IntelliHQ, developing the ecosystem for AI innovation in healthcare. He is an Adjunct Associate Professor at the Institute for Intelligent and Integrated Systems, Griffith University. He has over 30 years of experience in software engineering and enterprise IT applications. Kelvin holds a PhD in safety critical systems engineering he is a firm believer of AI’s added value to the Community.