Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 52 Minute(s)
Language
English
Taught by
Olivier Maugain
Rating
Course Overview
Master AI fundamentals and practical business applications to future-proof your career and drive growth with AI
Being AI literate means having the knowledge and skills to understand, evaluate, and apply artificial intelligence effectively in a business context.
Regardless of your field or technical background, if you want a rewarding and future-proof career, you will benefit from these competencies.
Any competent manager, executive, or professional should be able to identify opportunities where AI can create value, understand its limitations, and communicate clearly with technical teams.
So, if you want to build a successful career in the age of AI, developing full AI literacy should be one of your key objectives.
Someone who is AI literate would have the ability to:
Identify business problems that AI can help solve
Understand the types of AI technologies and how they work
Assess the suitability and quality of AI solutions
Evaluate results and insights generated by AI systems
Make informed and responsible decisions using AI
Communicate AI value and impact through real-world use cases
You will acquire all these skills by taking this course. Together, we will build your understanding of AI fundamentals and prepare you to apply AI effectively in your organization or career.
The course is organized into four main sections. First, you will explore what AI really is, its history, and the key concepts behind machine learning, natural language processing, computer vision, and more.
Next, we will examine how AI is applied in business. You will see real-world examples of AI across industries, from marketing and customer service to finance, operations, and product development, and learn how to identify high-impact use cases.
In the third section, you will focus on AI risk and ethics. We will discuss bias, privacy, regulatory considerations, and responsible AI use to ensure your decisions are ethical and sustainable.
We conclude this course with practical skills for AI leadership. You will learn how to communicate with technical teams, evaluate AI tools and solutions, and develop actionable strategies to integrate AI into your business or career.
By the end of this course, you will understand the fundamentals of AI, recognize its opportunities and challenges, and be ready to leverage AI confidently and responsibly to drive growth and innovation.
Your instructor for this class will be Dr. Olivier Maugain. Few online courses are taught by someone with his professional track record. Olivier has worked across software distribution, consulting, consumer goods, and retail. In his current role at a major European retailer, Olivier supports digital transformation by driving the adoption of data and AI in decision-making at scale.
This course is built on real-world experience, not theory or hype.
You are about to enroll in a course that can strengthen your career, sharpen your decision-making, and prepare you for the realities of an AI-powered workplace.
What are you waiting for?
Click the “Enroll Now” button and start building your AI literacy today.
Course Content
- 9 section(s)
- 56 lecture(s)
- Section 1 Introduction
- Section 2 Defining Artificial Intelligence
- Section 3 Key Elements of AI
- Section 4 Business Applications of AI
- Section 5 Concerns and Risks around AI
- Section 6 AI Ethics
- Section 7 Skills for the Age of AI
- Section 8 Integration of AI in Key Business Domains
- Section 9 AI Transformation
What You’ll Learn
- Explain the fundamentals of AI, including what it is, how it works, and why it matters in today’s business world., Describe the key building blocks of AI, such as data, machine learning, and algorithms, without requiring a technical background., Demonstrate confidence in discussing AI concepts and collaborating effectively with technical teams., Analyze how AI is applied across industries and its impact on the future of work., Select appropriate AI applications for different business areas, including marketing, sales, supply chain, and finance., Identify common AI risks, including bias and misinformation, and propose strategies to manage them responsibly., Apply ethical principles to ensure fair and responsible use of AI in your organization., Develop a step-by-step action plan to implement AI initiatives in your organization., Communicate the potential and limitations of AI clearly to colleagues, leaders, and stakeholders, fostering understanding and excitement., Apply lessons from real-world case studies, including Anna’s story, to grow your career and adapt proactively to AI-driven change., Use the AI Literacy Handbook to reinforce learning, explore tools and terminology, and implement AI knowledge in practical business contexts.
Skills covered in this course
Reviews
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LLois Parker
The instructor explains concepts in a calm and structured way that makes the material easy to absorb. I especially liked the parts about communicating AI value to stakeholders —very practical.
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JJennifer
As someone preparing for a more strategic role, I found the AI transformation section particularly valuable. It helped me think beyond tools and focus more on organizational readiness.
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EEve lyn
Clear delivery and professional presentation throughout. The role play scenarios were surprisingly helpful for thinking through real workplace conversations about AI adoption.
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DDavid Hotař
I appreciated how balanced the course is. It doesn’t just hype AI . It gave me a more realistic understanding of both the opportunities and limitations.
