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Practical Course

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:

Queensland

Graham Cummins
graham.cummins@kjr.com.au
0416 551 811

Victoria

Anil Kumar
anil.kumar@kjr.com.au
0404 441 695

ACT & New South Wales

Andrew Hammond
andrew.hammond@kjr.com.au
0416 007 055

Key information

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

Dr Mark Pedersen
KJR CTO

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.

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Dr Kelvin Ross
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. 

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