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FUTURE SKILLS SHORT COURSE

Developing AI Strategy

Discover the implications of Artificial Intelligence on your business and how to build an AI strategy to keep ahead of the curve.

Time commitment
8 weeks (5-8 hours per week) 100% online
Next start date
18 Nov 2019
Prerequisites
No entry prerequisites
A$ 1600 incl GST
Enrol now

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Why learn AI Strategy

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.

How does it work

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

Skills learned

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.

Find out more in our FAQ section.

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Course Structure

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

Learn with Industry Experts

Get ready to meet some of the biggest names in the business

Rhys EvansGeneral Manager, Versent (Southern region)

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 WolfePractice Director for Cloud, Versent & AWS APN Cloud Warrior

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 WilsonCEO Eliiza

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.

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