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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.

  • Starting 2 Sep 2019
  • 100% online, 8 weeks (5-8 hours per week)
  • A$1,600 GST inc.
  • Prerequisites:

    No entry prerequisites

 
 

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100% online, mentor supported, workplace ready

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.

Your experience with RMIT Future Skills

Upskill online, on your terms. Taught by industry leaders, backed by RMIT.

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100% online

Our flexible short courses are designed to fit your lifestyle, not replace it. Study online, after hours, when and where you like.

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RMIT credential

The cutting edge skills you learn will be rigorously assessed and recognised by both a leading university and key employers in the field.

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Industry mentors

RMIT experience provides structure on top of online learning through 1:1 mentor support, webinars and a community of lifelong learners.

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Real world skills

Level up your skills and qualifications as a digital native. Our courses are about practical training, building a network and applying your learning.

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Expert content

We have partnered with leading employers across the world to multiply the power of a world-leading university with the best of industry.

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Community

Make the most out of your online learning by interacting with your peers, experts and industry employers. Meaningful connections to help propel your career.

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Learning outcomes

What do you take away from our courses?

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Qualification

After completing an RMIT Future Skills course, you will earn an RMIT certificate and credential which can be validated, recognised and shared on social media platforms.

Skills

These courses are all about practical training. Each week, the skills you need to master will be walked through in live online tutorials that allow you to see success in action, and ask questions to overcome obstacles that are slowing your progress.

Work-ready project

We combine the power of industry experts with a leading university to get you working on practical, work-ready projects that you can immediately apply back in your office.

Course Outline

Module 1

Artificial Intelligence Fundamentals

Understand AI and Machine Learning

Deep Learning and Reinforcement Learning

Technology fundamentals

Assignment

Video presentation

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Module 2

Global use cases

Business applications across products, processes and insights

Robotics and automation

Natural language Processing

Autonomous Vehicles

Assignment

Summarise leading application of AI/ML

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Module 3

Frameworks for identifying AI/ML opportunities

Ideation

Business casing

Risks and limitations

Assignment

Run an ideation session

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Module 4

Delivery and operating models for data projects

People and resources

Collaboration frameworks

Executing projects

Assignment

Design a high level operating model

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Module 5

Platforms and Tools

Technology Landscape

AWS technology deep dive

Data & Cloud strategy

Assignment

Complete a demo project in AWS Sage Maker sandpit environment (coding experience not expected!)

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Module 6

Building POC

Select business opportunity to build a POC

Understand requirements to build a POC

Assignment

Create a plan to run a POC in your company

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Module 7

Developing Your AI Strategy

Cloud and data strategy

Optimising business case for ROI

Anticipate risks and limitations

Roadmap/implementation plan

Assignment

Assessment - AI Strategy Deck for a funding proposal

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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 Evans logo

Rhys 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!"

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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.

James Wilson logo

James Wilson

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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