“We’re driving towards seamless integration of data, analytics, and machine learning that will be transformative...” - Adam Selipsky, CEO, Amazon Web Services at re:Invent 2021
Join us at Machine Learning Days Australia & New Zealand to access training on machine learning from AWS experts. You’ll learn about the industrialisation of machine learning, find out about the emerging trends, and hear how you can get started no matter your current level of expertise or experience. Then, choose from the getting started track for an introduction to machine learning, or the diving deep track to continue your machine learning journey.
| Time (local time) | Session | |
| 9:45 AM | Keynote: Industrialisation of machine learning AWS is on a journey to industrialise machine learning and make it accessible to anyone, including developers, data scientists, and technology enthusiasts. Join our keynote to hear about advancements in the field of software development, the evolution of tools and practices such as CI/CD, and how machine learning is making software development accessible, consumable, repeatable, and scalable. We’ll also share how you can get started, no matter your level of expertise. |
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| Getting started track | Diving deep track | |
| 10:45 AM | Machine learning with AWS (L100) Get started with machine learning on AWS. In this session, participants will be introduced to concepts and terminologies of machine learning, and hear how businesses can use AWS AI services to innovate faster. We provide an overview of services such as Amazon Comprehend and Amazon Lex, and how to address use-cases such as sentiment analysis, automated text processing, and building conversational interfaces into applications without any machine learning experience. |
Boosting data scientist's productivity with Amazon SageMaker (L200) Building a machine learning pipeline can be a complex, time-consuming process comprising of several phases. In this session, we share how to leverage Amazon SageMaker platform to tackle the challenges of building a ML pipeline, from data labelling, feature engineering, model training, tuning, to deployment. Using Amazon SageMaker, data scientists and engineers will be able to focus on their core values while Amazon SageMaker does the heavy-lifting of large scale and distributed model training, and infrastructure management. |
| 11:45 AM | AWS Training and Certification pathways Find out how to kick start your AWS training journey with practical advice, resources, and Certification pathway information to be shared by our AWS experts. Whether you’re new to the cloud, or an experienced user, you’ll walk away with an understanding of the steps you can take in your learning journey. |
DevOps for data science (L300) AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using DevOps practices. This session addresses the challenges of productionising ML models, and introduces DevOps for a machine learning - a set of practices that combines ML process and DevOps practices. Join us to hear the best practices of leveraging Amazon SageMaker Pipelines and AWS CI/CD tools to automate ML processes. |
| 12:30 PM | Lunch break | |
| 1:30 PM | Workshop: Build a chatbot with Amazon Lex (L100) These hands-on workshops will only be offered at the in person events. Please bring a laptop and charger to participate. |
Build, train, and deploy a machine learning model with Amazon SageMaker (L300) These hands-on workshops will only be offered at the in person events. Please bring a laptop and charger to participate. |
| 3:30 PM | Networking | |
| 4:00 PM | End of event | |
| Time (AEDT) | Session |
| 10:00 AM | Keynote: Industrialisation of machine learning AWS is on a journey to industrialise machine learning and make it accessible to anyone, including developers, data scientists, and technology enthusiasts. Join our keynote to hear about advancements in the field of software development, the evolution of tools and practices such as CI/CD, and how machine learning is making software development accessible, consumable, repeatable, and scalable. We’ll also share how you can get started, no matter your level of expertise. |
| 11:00 AM | Machine learning with AWS (L100) Get started with machine learning on AWS. In this session, participants will be introduced to concepts and terminologies of machine learning, and hear how businesses can use AWS AI services to innovate faster. We provide an overview of services such as Amazon Comprehend and Amazon Lex, and how to address use-cases such as sentiment analysis, automated text processing, and building conversational interfaces into applications without any machine learning experience. |
| 12:00 PM | AWS Training and Certification pathways Find out how to kick start your AWS training journey with practical advice, resources, and Certification pathway information to be shared by our AWS experts. Whether you’re new to the cloud, or an experienced user, you’ll walk away with an understanding of the steps you can take in your learning journey. |
| 12:45 PM | Boosting data scientist's productivity with Amazon SageMaker Building a machine learning pipeline can be a complex, time-consuming process comprising of several phases. In this session, we share how to leverage Amazon SageMaker platform to tackle the challenges of building a ML pipeline, from data labelling, feature engineering, model training, tuning, to deployment. Using Amazon SageMaker, data scientists and engineers will be able to focus on their core values while Amazon SageMaker does the heavy-lifting of large scale and distributed model training, and infrastructure management. |
| 1:45 PM | DevOps for data science (L300) AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using DevOps practices. This session addresses the challenges of productionising ML models, and introduces DevOps for a machine learning - a set of practices that combines ML process and DevOps practices. Join us to hear the best practices of leveraging Amazon SageMaker Pipelines and AWS CI/CD tools to automate ML processes. |
| 2:30 PM | End of webinar |
Machine Learning Days – Health Measures
Overview of health measures
The health and safety of our customers, partners, and employees remains our top priority. At the Machine Learning Days, the health measures outlined on this website will be in place (“Health Measures”). All attendees are required to comply with the Health Measures. Signage and additional staffing will be in place to support the Health Measures. AWS can make revisions to the Health Measures and this website at any time, including to comply with guidance from the Australian Government Department of Health, and other Federal, State, and local requirements.
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Vaccination All wristband holders attending the Machine Learning Days must be fully vaccinated against COVID-19 (unless they have a valid medical exemption) prior to checking in at the event in-person. If you are not fully vaccinated or do not have a valid medical exemption, you will not be permitted to attend the Machine Learning Days in-person, however you can attend the Machine Learning Days virtually by registering here for free. A person will be considered fully vaccinated 7 days after receiving the second dose in a 2-dose series of any Therapeutic Goods Administration (“TGA”) approved or TGA recognised COVID-19 vaccine (such as the Pfizer, Moderna or AstraZeneca vaccines), or 7 days after receiving the Johnson & Johnson’s Janssen COVID-19 vaccine. This also includes people who have received mixed doses of (for example, where a person has received a first dose of a Pfizer vaccine, and a second dose of the AstraZeneca vaccine). If you are not fully vaccinated, you will only be permitted to attend Machine Learning Days if you have a valid medical exemption as defined by applicable Federal or State laws or health orders. For more information on valid medical exemptions, visit the Victorian Government website if you are attending the event in Melbourne and the NSW Government website if you are attending the event in Sydney. Proof that you are fully vaccinated or have a valid medical exemption must be provided at onsite check-in to receive your Machine Learning Days wristband. Acceptable records include your government-issued COVID-19 digital certificate, your immunisation history statement or the defined medical exemption documentation required in each State. Information on how to obtain your proof of vaccination can be found here. The name on your COVID-19 vaccination record or valid medical exemption must match your name provided at registration and your government issued ID. A government issued ID will include an Australian drivers’ license, passport, or proof of age card. An international drivers’ license or passport will also be accepted. |
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Masks Masks are required for everyone at Machine Learning Days, unless a valid exemption, as this is defined in your State’s law or health orders, applies. For more information on valid exemptions, visit the Victorian Government website if you are attending the event in Melbourne and the NSW Government website if you are attending the event in Sydney.. Masks will be acceptable if they are fitted face coverings that fit securely around the face and are designed to be worn over the nose and mouth to provide the wearers with protection against infection (e.g., a flat surgical mask, P2/N95 mask or a cloth face mask with three layers). Masks may be removed while eating and drinking. |
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Personal protective equipment AWS will make masks available for Machine Learning Days attendees who need them. Hand sanitizer will be available throughout the event space. |
All wristband holders at Machine Learning Days will be required to be fully vaccinated against COVID-19 (unless they have a valid medical exemption) to attend the Machine Learning Days in-person this year.
A person will be considered fully vaccinated 7 days after receiving the second dose in a 2-dose series of any Therapeutic Goods Administration (“TGA”) approved or TGA recognised COVID-19 vaccine (such as the Pfizer, Moderna or AstraZeneca vaccines), or 7 days after receiving the Johnson & Johnson’s Janssen COVID-19 vaccine. This also includes persons who have received mixed doses of (for example, where a person has received a first dose of a Pfizer vaccine, and a second dose of the AstraZeneca vaccine).
If you plan on attending a Machine Learning Days event you need to receive your second dose in a 2-does series, or single-dose vaccine no later than:
- March 1, 2022 if you are attending the event in Melbourne; and
- March 10, 2022 if you are attending the event in Sydney.
Bring a record of your COVID-19 vaccination or valid medical exemption to onsite check-in to receive your entry wristband. Acceptable records include your COVID-19 digital certificate, your immunisation history statement or the defined medical exemption documentation required in each State. Information on how to obtain your proof of vaccination can be found here.
The name on your COVID-19 vaccination record or valid medical exemption must match your name provided at registration and your government issued ID. A government issued ID will include an Australian drivers’ license, passport, or proof of age card. An international drivers’ license or passport will also be accepted.
No. A person will be considered fully vaccinated 7 days after receiving the second dose in a 2-dose series of any Therapeutic Goods Administration (“TGA”) approved or TGA recognised COVID-19 vaccine (such as the Pfizer, Moderna or AstraZeneca vaccines), or 7 days after receiving the Johnson & Johnson’s Janssen COVID-19 vaccine. This also includes persons who have received mixed doses of (for example, where a person has received a first dose of a Pfizer vaccine, and a second dose of the AstraZeneca vaccine).
Yes. We will accept record of COVID-19 vaccinations authorized or approved by the national health authority of the country where it was administered if (a) you meet the definition of “fully vaccinated” as defined by the Australian Technical Advisory Group on Immunisation here, and (b) are able to produce the valid proof of vaccination required by the Australian Government Department of Health as defined here. The name on your COVID-19 vaccination record must match your government issued ID.
Yes. We will accept record of a mixed (heterologous) regime of COVID-19 vaccinations.
No. A negative COVID-19 test will not be accepted as a substitution for being fully vaccinated against COVID-19. Those who cannot comply with the vaccine requirement can join us virtually here for free.
Only individuals who have a valid medical exemption as defined by applicable Federal or State laws or health orders can attend Machine Learning Days. For more information on valid medical exemptions, visit the Victorian Government website if you are attending the event in Melbourne, the Western Australia Government website if you are attending the event in Perth and the NSW Government website if you are attending the event in Sydney. Those who cannot comply with the vaccine requirement can join us virtually here for free.
Yes. Masks are required for everyone at Machine Learning Days, unless a valid exemption, as this is defined in your State’s law or health orders, applies. For more information on valid exemptions, the Western Australia Government website if you are attending the event in Perth and the NSW Government website if you are attending the event in Sydney.
Masks will be acceptable if they are fitted face coverings that fit securely around the face and are designed to be worn over the nose and mouth to provide the wearers with protection against infection (e.g., a flat surgical mask, P2/N95 mask or a cloth face mask with three layers).
If required by local law, you will be required to maintain social distancing during the event.
If you test positive for COVID-19, report your diagnosis to the local health authority.
Local testing resources can be accessed via the following websites, depending on your location:
- for those based in New South Wales, the New South Wales Government website;
- for those based in Victoria, the Victorian Government website.
Please note, to attend the Machine Learning Days in-person, a negative COVID-19 test will not be accepted as a substitution for being fully vaccinated against COVID-19.