Developing AI Strategy - Desarrollo de una estrategia de Inteligencia Artificial

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.

This industry approved short course, developed with Amazon Web Services, that explores AI´s potential to disrupt your business. Master the AI basics, make agile decisions, and get ahead of the curve.

BAU offers this intensive online specialisation course in collaboration with RMIT University in Australia with the aim of bringing the methods of this prestigious institution to design professionals in Europe.

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.

What is AI
Grasp the concepts of AI and machine learning (ML)
Explore various AI applications, including visual, linguistic, and predictive tasks
Discuss factors to consider when developing an AI strategy
Milestone: Create a two-minute explanation of AI and share it with your peers

Applying AI
Familiarize yourself with AI-powered technologies and their industry use cases
Examine the dynamic between humans and AI
Recognize the advantages and business opportunities associated with AI
Milestone: Identify a focus area where implementation of AI may benefit in your team or business

Finding AI and Machine Learning Opportunities for your Business
Analyze an AI case study: Amazon
Generate innovative AI opportunities and concepts tailored to your business
Milestone: Summarise your AI solution with expected benefits and lessons

An AI solution for your problem
Evaluate the ethical considerations surrounding AI, along with potential remedies for ethical challenges
Understand the barriers hindering AI adoption, such as sensitivity, quantity, and labeling issues
Explore the capabilities of cloud-based AI and machine learning services, including their applications and platforms
Milestone: Consider core skills, ethical considerations, and key hurdles to your AI solution

Select a Business Opportunity
Select a business opportunity as the basis for creating an AI proof of concept
Develop a comprehensive process and roadmap for your solution
Milestone: Refine your proof of concept including relevant KPIs

What´s next
Gain insights into the future of AI in the business landscape
Conclude your journey with the final project
Milestone: Submit your final project