RMIT University
AI for Business Leaders
- Delivery: Online
- Duration: Four weeks
- Course Type: Short Course
- Total Price: $750
Learn how to assess and apply AI in real organisational contexts while building the confidence and capability to evaluate AI opportunities, make informed decisions about risk and investment and guide organisations from experimentation to meaningful strategic impact.
Course overview
AI for Business Leaders is designed to close that gap. Rather than focusing on tools or technical detail, the course develops the judgement leaders need to make informed decisions about AI. Students will learn how to evaluate proposals, challenge assumptions and prioritise initiatives that align with genuine business needs rather than technical possibilities alone.
The AI for Business Leaders course is delivered in partnership with Udacity, giving students access to both Udacity’s learning and career services, along with course enablement support from the RMIT Online Learner Success Team. Upon successful completion, students will also receive an RMIT University credential that can be uploaded to LinkedIn, verifying skill mastery in the discipline.
Key facts
What you will study
Machine Learning and AI for Business Leaders
- Lesson 1: Introduction to Machine Learning and AI for Business
Learn what AI and ML can do for your business, how to spot good use cases and how to talk confidently about these technologies with your team. - Lesson 2: Demystifying ML Models
Learn how machine learning drives business value, how to evaluate models, avoid common pitfalls and align ML solutions with real business goals. - Lesson 3: Implementing ML and AI in the Real World
Learn what it takes to turn AI ideas into business impact, including data readiness, ethics, system choices, risks and the practical steps to implement and scale AI successfully. - Lesson 4: Scaling and Leading with Machine Learning and AI
Move from individual projects to a strategic AI vision. Learn how to build roadmaps, align stakeholders and lead responsibly at scale.
Project: Write a plan to get real business value from ML. Consider technical and human alternatives, select the best model for the task, identify the data you’ll need and analyse risks and mitigations.
How you will learn
During this course, you’ll apply what you learn through three practical, business-focused projects designed for senior decision-makers.
Your first project focuses on developing a machine learning plan for a real business scenario, evaluating use cases, data requirements, risks and organisational readiness. Your second project centres on building a generative AI strategy and project roadmap, identifying where GenAI can create value and how to implement it responsibly at scale. Your final project explores agentic AI, where you’ll analyse and improve a multi-agent system, assessing feasibility, governance and real-world risk.
What you will learn
By the end of this course, you’ll be able to:
- Define and evaluate opportunities for machine learning and generative AI that align with strategic business goals and measurable outcomes.
- Design effective machine learning and agentic AI solutions that deliver actionable business outcomes while minimising organisational risk.
- Analyse the functional architecture of agentic AI systems to identify capability requirements, performance gaps and cost drivers.
- Communicate AI strategy, solution design and implementation road maps clearly to executive stakeholders and decision-makers.
Who should attend
The AI for Business Leaders course is best suited for mid-to-senior professionals responsible for making strategic decisions about how AI is used in their organisation and who need to connect AI opportunities with real business priorities. It’s designed for:
- Decision-makers who need to evaluate AI proposals through a business lens, including feasibility, trade-offs, cost, risk and organisational readiness.
- Leaders responsible for prioritising and sequencing AI initiatives so they deliver measurable impact, not just pilots.
- Professionals who need to guide responsible adoption, with clear accountability for outcomes, governance and risk.
You may be working in roles across operations, strategy, finance, product, transformation, digital or technology leadership or consulting.
Industry Partnerships and Accreditations
