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
Things you can do with AI and machine learning
Module 2
AI in the world today
Identify AI use cases in your industry
Advocate for AI in your business
Business benefits of AI
Module 3
Frameworks for identifying AI/machine learning opportunities
AI case study: Amazon
AI case study: Driverless car
Run an ideation workshop to define business problems to solve with AI
Module 4
AI solution requirements
Identify requirements: people, resources and tools
Ethics in AI
Challenges to AI adoption
Module 5
AI proof of concept
Select business opportunity to build a POC
Understand requirements to build a POC
Module 6
AWS deep dive
Explore Amazon AI tools and solutions
Module 7
Developing your AI strategy
AI development process
Create a hypothetical roadmap
Father feedback on your AI strategy
Module 8
Next steps
Next steps and further readings
Webinar and final project reflection
Get ready to meet some of the biggest names in the business
Our industry mentors are available to provide 1:1 feedback and guidance on your course work. Our mentors on this course include people like eRhys Evans. 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!"
RMIT Online has built our courses in partnership with industry, providing you with the latest industry insights and best practices from the real world of work. Our subject matter experts on this course include people like Mark Wolfe. 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.
Our learner success team are here to help you with 1:1 coaching, tips on how to successfully study online, and any questions or concerns you may have.