ANZ Webinar Series On-Demand - AI, ML, and IoT
Enabling business analysts and the line of business to scale the adoption of ML
Organisations are looking to leverage the broad set of in-house analytics skills to help scale the adoption of machine learning to drive business outcomes. SageMaker Canvas provides a visual point...
Intelligent Document Processing—Understanding and extracting data to accelerate the application process
Understanding and extracting data from non-structured data to accelerate back office processing is a major challenge for organisations across industry. Artificial Intelligence (AI) can automate docu..
Reducing Operational Risk and Platform Scalability with MLOps
Machine Learning Operationalisation (MLOps) is a collection of best practices to efficiently operationalise models. It’s not just technology—it’s about processes and people, thinking about the...
AWS DeepRacer 2022 Australian Championship - Virtual Workshop
Kick-start your ML journey by going hands-on with AWS DeepRacer. Presenter: Jacob Cantwell, Solution Architect, AWS
AWS Machine Learning Day - Machine learning with 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.
AWS Machine Learning Day - Keynote - The industrialisation of machine learning
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...
AWS Machine Learning Day - 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.
AWS Machine Learning Day - Fireside chat
Join us for a fireside chat with Melanie Botha, Head of Training and Certification ANZ, at Amazon Web Services, and Brooke Jamieson, AWS Community Builder and Head of Enablement AI/ML and Data at...
AWS Machine Learning Day - Boost your productivity with Amazon Sagemaker
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.
- Back to home
AWS Machine Learning Day - DevOps for data science
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.
Machine Learning for CMOs: How to personalise the customer experience and drive innovation in marketing
Organisations have more customer data at their fingertips than ever before.
Amazon Web Services and KPMG invite you to Machine Learning for Executives
Cloud technology and machine learning are driving forces behind technological disruption affecting every organisation, making it critical to businesses’ efforts to transform and innovate at speed.
The Return to Work Experience
As people around the world start to return to their offices, employers have significant responsibilities to prepare and deliver a safe working environment.
The Future of Search powered by Amazon Kendra
In this webinar you’ll be introduced to Amazon Kendra and provided with insights into how it can enhance employee productivity, accelerate projects and drive opportunities.
AWS DeepRacer League Workshop Webinar
Join Amazon Web Services (AWS) for a fun, educational and virtual AWS DeepRacer event which is running in conjunction with the AWS She Builds program. Get behind your keyboard for an immersive experie
Hey Operator Using SageMaker with EKS for Machine Learning Pipelines
In this Level 300 webinar, we will cover how and why to use Amazon SageMaker with Kubernetes, with a focus on how to build production-ready solutions which are scalable, and robust. The webinar will i
Developer Day 2 - MLOps: Automation with Machine Learning
Overview: Data Scientists and ML developers need more than a Jupyter notebook to create a ML model, test it, put into production and integrate it with a portal and/or a basic web/mobile application i