Generative AI for Business
Learn how to use the power of Generative AI to streamline workflows, enhance decision-making, drive innovation, and develop a strategic plan to apply AI in your organization.
What you will learn
- The fundamentals of Generative AI: Key concepts, models, capabilities, and its role in business and strategy.
- How to apply Generative AI in business: Use GenAI for content creation, automation, data analysis, and product development.
- Effective prompt engineering: Master fundamental and advanced techniques for crafting, optimizing, and refining prompts across different GenAI models.
- How to assess Generative AI’s impact and risks: Evaluate business implications, ethical concerns, and legal frameworks to ensure responsible GenAI implementation.
- Strategies for integrating Generative AI: Implement GenAI effectively, enhance human-GenAI collaboration, and communicate its value.
The course gives you the knowledge and tools to make the most of Generative AI (GenAI) in business. You’ll learn how GenAI works, what it can do today, and how it can help businesses automate tasks, create content, analyze data, and make better decisions.
With a mix of theory and hands-on learning, you’ll explore prompt engineering, workflow optimization, and how to integrate GenAI into business operations. You'll also dive into the ethical, legal, and security challenges that come with using artificial intelligence.
As part of the course, you’ll develop a strategic plan for applying GenAI to a specific challenge or opportunity within your current company or a chosen organization.
This course is ideal for middle and senior managers, team leaders, and entrepreneurs who want to integrate GenAI into their work, optimize team workflows, and drive strategic innovation in their organizations.
Admission requirements
- You are at least 25 years old
- Have completed a bachelors degree
- 4 years of full time work experience (3 years if you already have a masters degree)
Students without a completed bachelors degree can, in some cases, be admitted based on prior learning and work experience.
Read more about the admission requirements at master’s level.
Take a course or build a degree
This course can be integrated in an Executive Master of Management.
The course awards 15 credits, a masters degree consists of 90 credits. Should you choose to take more masters level courses later, you can accumulate a complete masters degree. The combination of courses is up to you, based on your learning goals and career plans.
Modules and course content
This course consists of two physical modules of two days over a semester. All modules takes place on campus in Nydalen, Oslo.
The syllabus is made available as soon as you have been admitted to the course.
Exams consists of a project assignment that counts for 60% of the total grade and an individual 72-hour home exam that counts for 40%. The project assignment can be written individually or in groups of up to three people.
Modules
-
GenAI Foundations and Business Integration
- Core principles and key concepts of Generative AI
- Current state-of-the-art GenAI models and their capabilities
- Strategic considerations for GenAI adoption in business
- Integration approaches and impact on business models
Prompt Engineering and Communication
- Fundamentals and best practices of prompt engineering
- Advanced techniques for crafting effective prompts
- Methods for optimizing prompts across different GenAI models
- Quality control and output refinement strategies
GenAI tools- Content creation tools (text, image, video, sound, slide generation)
- Code generation tools and no-code programing
- Data analysis and visualization tools
- Customized agent and personal assistant tools
-
GenAI Applications
- Marketing (e.g., generative advertising, generative engine optimization)
- Research and development (e.g., simulation, AI interviewers)
- Human resources (e.g., personalized training, candidate screening automation)
- Operations management (e.g., demand forecasting, production process simulation)
Management and Strategy
- Workflow automation and optimization
- GenAI-assisted decision-making processes
- Human-GenAI collaboration strategies
Implementation and Ethics
- Strategic planning for GenAI integration
- Risk assessment and mitigation
- Legal and ethical considerations
- Security and privacy frameworks
Faculty
Time and effort required
All our courses are structured to fit alongside a job and a personal life. Still - you'll need to dedicate some time.
You'll spend a total of six workdays on modules, plus three days for the home exam.
Additionally, you'll need to make time for reading the course material and writing the term paper. How much time this takes varies widely from student to student, and you can adjust this to fit your other commitments.
Tuition
This course is eligible for support from the Norwegian State Educational Loan Fund. The invoice is usually issued on 1 October.
Want to know more?
We regularly host informational webinars that you can join. You can also schedule a personal guidance session with one of our counsellors.
Similar courses
Not quite the course you were looking for? We offer a range of courses in the same subject area - from short courses to part-time master's level studies.