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Certificate of completion Artificial Intelligence

Artificial Intelligence (AI)

15-hour self-paced eLearning course, certificate of completion issued by Edkore (INFOSEC CENTER). Live trainer-led or in-house delivery available on request.

eLearning · 15 hours Level: Intermediate Certificate of completion Romanian / English

About this Course

Artificial intelligence is no longer a topic reserved for research labs or large technology companies. It is now a practical capability that shapes operations, decision-making, customer interaction, productivity and the long-term competitiveness of organisations.

AI creates significant opportunities, process optimisation, better forecasting, automation of repetitive tasks, but also responsibilities: poorly governed AI introduces risks around bias, security, transparency and compliance. This course helps you understand not just what AI is, but how to apply it responsibly in real business contexts.

What You Will Learn

  • Core and advanced concepts in artificial intelligence and machine learning
  • How AI can be applied across different sectors and business functions
  • The role of cloud platforms in developing and scaling AI solutions
  • The organisational, ethical, security and compliance dimensions of AI adoption
  • Planning and supporting AI projects in a structured, responsible manner

Course Structure 7 modules

Advanced Foundations of Artificial Intelligence
  • AI, machine learning and deep learning in organisational context
  • Neural networks: CNNs, RNNs and problem types
  • Autoencoders, GANs and transfer learning
  • NLP, Transformers and BERT; optimisation and explainability
AI Applications Across Economic Sectors
  • AI in manufacturing, healthcare, finance, transport, public services
  • AI in business functions: HR, finance, risk, customer service
  • Case studies: optimisation, prediction, automation, personalisation
  • Implementation barriers and strategies to overcome them
AI and Machine Learning Tools
  • Creating, training and validating models
  • Python for AI development and data analysis
  • TensorFlow and PyTorch for deep learning
  • Model evaluation and responsible data handling
Using Cloud Platforms for AI
  • Advantages and limits of cloud for AI
  • AI services: AWS, Google AI Platform, Azure AI
  • Storage, training, deployment and monitoring in the cloud
  • Security, compliance and cost in cloud AI
Managing and Implementing AI Projects
  • The AI project lifecycle
  • From business need to objectives and success criteria
  • Multidisciplinary teams and data governance
  • Implementation challenges and risk management
Responsible AI, Ethics and Governance
  • Why responsible AI matters
  • Fairness, transparency, explainability, human oversight
  • Risks: discrimination, privacy breaches, unreliable outputs
  • Documentation, auditability and European compliance
Course Closing & Consolidation
  • Structured review across all modules
  • Preparation for the final assessment
  • Responsible application of AI in your own context

Who It Is For

Professionals seeking to understand, apply and govern artificial intelligence in organisational and business contexts; no advanced programming experience required.

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