Elements of AI - AI in IT Careers: Exploring Paths and Opportunities
The Digital Learning Hub offers various workshops for people who have signed up for the online course "Elements of AI" developed by MinnaLearn and the University of Helsinki.
Elements of AI is a free Massive Open Online Course (MOOC) designed to encourage a broad group of people to learn what AI is, what you can (and cannot) do with AI, and how to start developing AI methods.
The MOOC combines theoretical and practical exercises and can be taken at your own pace. Priority for this workshop will be given to participants who are registered for the MOOC.
This guide explores the vast career landscape in Artificial Intelligence, catering to beginners and professionals alike. It covers essential skills, career paths, roles, and emerging trends within the AI industry. Whether you aspire to become a Machine Learning Engineer, Data Scientist, AI Researcher, or specialize in other niches like NLP or Computer Vision, this resource is your go-to for navigating opportunities in AI.
Content
- Overview of AI in IT Careers
- Key Roles and Responsibilities in AI
- Essential Skills and Tools for AI Careers
- Career Pathways: Entry-Level to Advanced Roles
- Emerging Trends and Opportunities in AI
- Educational Resources and Certifications
- Tips for Building a Successful AI Career
Learning Outcomes
- Understand foundational concepts of AI and Machine Learning.
- Identify key career paths and roles in AI.
- Gain insights into the skills and tools needed for success in AI.
- Learn how to build a strong AI portfolio and leverage certifications.
- Explore trends and opportunities shaping the AI industry.
Training Method
Interactive presentation
Additional Information
This training is offered in collaboration with University of Luxembourg Competence Centre.Organised By
Digital Learning Hub Luxembourg
Prerequisites
- Being registered and follow the MOOC is recommended.
- Basic programming knowledge (e.g., Python).
- Familiarity with mathematics (linear algebra, probability, statistics).
- Analytical thinking and problem-solving skills.
Planning and location
09:00 - 13:00
ESCO Skills
Your trainer(s) for this course
