EC-Council AIE Training Course

• Module 1: Introduction to Artificial Intelligence
  • Understand AI evolution, milestones, and future directions
  • Explore collaboration between humans and AI
  • Recognize data, algorithms, and models as the foundation of AI systems
• Module 2: Everyday AI Tools and Use Cases
  • Identify AI tools used in daily life and the workplace
  • Explore AI applications in manufacturing, transportation, education, and security
  • Understand how AI improves productivity and decision-making
• Module 3: Building Blocks of AI
  • Understand AI models, machine learning, neural networks, NLP, and Generative AI (LLMs)
  • Differentiate between AI, Generative AI, LLMs, and traditional software systems
  • Select suitable AI tools for the project and business needs
• Module 4: Prompt Crafting for AI-Driven Interactions
  • Learn core prompt engineering principles
  • Structure prompts for clear, accurate, and useful responses
• Module 5: AI Ethics and Responsible AI
  • Identify societal, ethical, privacy, and security concerns
  • Understand bias, hallucinations, and misuse risks
  • Apply governance, responsible practices, and global standards

• Students and Early Learners
• Non-IT Working Professionals
• IT Professionals and Engineers
• Analysts, Project Managers, and Operations Managers
• Educators and Trainers
• AI Enthusiasts
• Entrepreneurs and Decision-Makers
• HR, L&D, and People Professionals

• There are no strict technical prerequisites for this course. Basic digital literacy, curiosity about AI, and an interest in using AI tools responsibly are recommended.

Note: To maintain the quality and fairness of certification exams, the exams are offered in multiple sets with different question banks. Each question is assigned a difficulty rating, which helps determine the passing score, also known as the “cut score.” Since some exam sets may be slightly more difficult than others, the cut score is determined separately for each set to ensure fair evaluation standards. Therefore, the passing score can range from 60% to 85%, depending on the exam version taken.

After completing this training, you will be able to:

• Differentiate between AI, ML, Generative AI, LLMs, and traditional software systems
• Explain how AI systems generate outputs and learn from data
• Recognize AI limitations, hallucinations, bias, and failure points
• Use AI tools for text, image, audio, automation, and workplace tasks
• Create effective prompts for useful and accurate AI responses
• Evaluate AI outputs for quality, accuracy, fairness, and ethical alignment
• Apply privacy, governance, and responsible AI practices
• Integrate AI outputs into real-world workflows without blind trust
• Build a foundation for advanced AI, ML, cybersecurity, or Generative AI certifications