 Hi, I am Tarun Bonu, the main coordinator for ML4AU, Machine Learning Community of Practice. ML4AU is an ARDC initiative to accelerate machine learning-based discovery while this community of practice is co-facilitated by ARDC and Monash Data Science and AI Platform. As part of the initiative, ML4AU was launched in 2020 to unify the collaborative network of researchers, ML practitioners, and e-research groups interested in ML capabilities and expertise. This talk will focus on ML4AU training space. As part of the ARDC Discovery project, Monash and UQ surveyed researchers nationally in 2020 to understand the pain points of researchers in applying ML into research. A few significant challenges across the community involved identification of gap in ML skills and lack of training to ML researchers. Training needs found to be different for ML researchers who develop algorithms and ML researchers who apply ML into the research. More specifically, the gap in skills were narrowed down to these reasons where there was lack of knowledge or resources or lack of compute or understanding of other researchers' work. These are the different areas of ML trainings identified which represent a particular area of ML application based on a researcher's data. It can be image processing or natural language processing or application of reinforcement learning. There are several trainings associated to these areas of interest, but they are localized to a particular organization. In most cases, many researchers can benefit from training activities probably happening in another organization. The main challenge was to identify all these different trainings and develop collaboration between organizations in sharing training materials, training seats or helping train more trainers. ML4AU discussed about challenges related to trainings in the community meeting on the 27th of May which was chaired by Anastasios from Intersect. There were a few key challenges identified by the ML community associated to trainings, lack of ML expertise and training development, very high demand in ML trainings, more towards intermediate trainings, lack of forums or domain expertise to analyze and make use of the data at hand. ML4AU has tried to address a few of these challenges where a few fixed training seats between Monash and UQ in respective training sessions were shared between the organizations. Over 920 participants from 50 organizations have benefited with this, with a total of 19 training events between the organizations. There was also a trainer session organized to share the training material and general experience towards semi-supervised learning training event. Most importantly, the biggest step towards addressing these challenges were launching the ML4AU portal. The web portal has different sections which help the trainers and the researchers. The events tab has trainings or other events option which show the different training related events available. The nominations to add to this list to feature your own training event can be done by filling the form here. Apart from this, there are resources for researchers with respect to the different tools, data collections or content for trainers. These are all publicly available and can be accessed by anyone on the internet. To add in your own training material, you can reach the team by clicking the contact us button here. To tackle the trainer availability, ML4AU portal has a trainer pool page on the people tab. Several trainers have been featured here who currently are trainers across various training events in Australia. More details about the trainer can be obtained by opening the trainer page. Lastly, all this is possible due to the demand and interest in community towards addressing ML or AI applications in research. Building a community of practice is crucial to solve challenges collaboratively which arise in the e-research space. ML4AU community of practice is free for all and is keen to accommodate the emerging needs for ML capabilities and expertise in e-research. If you'd like to be involved and be notified with latest ML events and opportunities across Australia, make sure you subscribe to the mailing list on the web portal. Thank you.