Discover the implications of Artificial Intelligence on your business and how to build an AI strategy to keep ahead of the curve.
With 31% of enterprises expected to add AI into their strategy over the next 12 months (Adobe), it’s never been more important to upskill.Today’s neural networks and machine learning algorithms are more likely to drive an autonomous car, analyse property markets, power a chatbot or help with clinical diagnoses and suggest treatments. In fact, the real challenge facing AI isn’t potential applications, it’s getting companies to recognise them.
Developing AI Strategy equips your business with the latest AI thinking. Our industry pros will walk you through the AI fundamentals, you’ll have access to the latest tools from Amazon Web Services, and we’ll help you develop a real-world AI strategy for your organisation. Over eight weeks, you’ll also get to know the full AI stack: from Natural Language Processing and robotics to machine learning and Neural Networks and create an AI business plan for your industry
AI technology fundamentals, Natural Language Processing, Frameworks for AI/ML opportunities, collaboration frameworks, operating models, Data and Cloud strategy, AWS Sage Maker sandpit, POC, optimising business case, roadmap and implementation plan, ethics.
After completing an RMIT Future Skills course, you will earn an RMIT credential which can be validated, recognised and shared on social media platforms.
Module 1
Artificial Intelligence Fundamentals
Understand AI and Machine Learning
Deep Learning and Reinforcement Learning
Technology fundamentals
Module 2
Global use cases
Business applications across products, processes and insights
Robotics and automation
Natural language Processing
Autonomous Vehicles
Module 3
Frameworks for identifying AI/ML opportunities
Ideation
Business casing
Risks and limitations
Module 4
Delivery and operating models for data projects
People and resources
Collaboration frameworks
Executing projects
Module 5
Platforms and Tools
Technology Landscape
AWS technology deep dive
Data & Cloud strategy
Module 6
Building POC
Select business opportunity to build a POC
Understand requirements to build a POC
Module 7
Developing Your AI Strategy
Cloud and data strategy
Optimising business case for ROI
Anticipate risks and limitations
Roadmap/implementation plan
Module 8
Responsible AI
AI & Society
Ethical considerations
The Future of AI
Get ready to meet some of the biggest names in the business
Rhys has over 15 years' experience in delivering quality business outcomes with technology. He's been a CTO, a leader at NAB and a seasoned systems integrator with a passion for everything being code. He loves a challenge and is passionate about getting tech projects "done, done!"
Mark is the go-to guy when you need anything code related solved. He's been a CTO, part of a start-up, developer and all-round network guru. When he's not designing and building software for telecommunications and IoT industries, he spends his time building his self-driving car or mountain biking.
James leads Eliiza, a Melbourne based AI consulting and technology business that helps companies apply AI/ML to solve real-world problems. James has over 15 years' experience leading digital business and technology transformation across financial services, telco, wagering, media and FMCG in Australia and Europe. James is passionate about the ethical impacts of intelligent technology and co-founded Responsible AI Australia.