Artificial Intelligence Essentials (AIE) Training in Helsinki

Developed by EC-Council, the Artificial Intelligence Essentials (AIE) certification is a foundational AI literacy program designed for professionals and learners seeking to understand the fundamentals of artificial intelligence.
This course introduces participants to the core principles, key technologies, and ethical aspects of AI in a clear and practical way.
No coding or technical background is required — this program is ideal for individuals from all industries who want to become AI-fluent.

After completing the course and passing the online exam, participants earn the EC-Council Artificial Intelligence Essentials (AIE) certification.
This globally recognized credential validates your foundational understanding of AI and positions you as an AI-Literate Professional.  

Bilginç IT Academy is an Official Accredited Training Partner of EC-Council, delivering EC-Council-authorized cybersecurity trainings and certification programs globally.

• Business professionals seeking AI awareness

• Managers and decision-makers exploring AI adoption

• Students and graduates entering the digital economy

• IT professionals aiming to expand into AI fundamentals

• Anyone interested in understanding and leveraging AI

By the end of this course, participants will be able to:

• Understand what Artificial Intelligence is and how it works

• Recognize the key disciplines under AI, including Machine Learning (ML) and Deep Learning (DL)

• Identify real-world applications of AI across various industries

• Discuss the ethical and security challenges of AI

• Explore future career paths in AI and digital transformation

1. Introduction to Artificial Intelligence

• The evolution of AI: from theory to everyday use

• The difference between traditional programming and AI systems

• AI types: Narrow, General, and Superintelligence

• Real-life AI applications

2. Machine Learning Fundamentals

• The concept of data-driven learning

• Supervised, unsupervised, and reinforcement learning

• Model training, validation, and testing

• Common ML use cases: prediction, classification, recommendation

3. Deep Learning and Neural Networks

• Understanding the structure of neural networks

• How deep learning powers image and speech recognition

• Real-world examples: self-driving cars, voice assistants, facial recognition

4. Natural Language Processing (NLP)

• Basics of language modeling and text analysis

• The logic behind ChatGPT, Copilot, and Gemini models

• Applications of NLP in marketing, automation, and communication

5. AI Ethics and Security

• Bias in AI systems and responsible AI design

• Ethical decision-making and data transparency

• Privacy, data protection, and compliance considerations

6. AI in the Real World

• AI in healthcare, finance, education, and manufacturing

• Automation and digital transformation in business processes

• How governments and organizations use AI responsibly

7. Career Paths in AI

• Job roles: Data Analyst, Machine Learning Engineer, AI Ethics Officer

• The global value of an EC-Council certification

• Key trends and skills for the AI-powered future