

AIE: Artificial Intelligence Essentials
Course Information

Course Name
AIE: Artificial Intelligence Essentials

Exam code
112-59

Duration
2 Days
Certification
Overview
Artificial intelligence is no longer a future trend. It is already embedded in business operations, education, and the global workforce. Yet its rapid spread has outpaced foundational understanding and skills needed to use it effectively, ethically, and responsibly.
Artificial Intelligence Essentials (AI|E) is EC-Council’s foundational AI literacy certification. It equips professionals and students with a practical understanding of how AI works, how it is used, and how to engage with it responsibly in real-world environments. This course prepares students to:
- Understand how AI systems behave, generate outputs, and where they can fail
- Critically evaluate AI outputs for quality, accuracy, and ethical alignment
- Use AI tools effectively in real-world workflows
- Apply responsible AI practices aligned with ethical, privacy, and regulatory standards
- Build confidence to make informed AI-driven decisions across business, academic, and personal contexts
This credential closes the critical gap between AI use and AI understanding, responsibility, and judgment.
Audience Profile
- Students and Early Learners
- IT Professionals and Engineers
- Entrepreneurs and Decision-Makers
- Analysts and Project and Operations Managers
- Non-IT Working Professionals
- Educators and Trainers
- AI Enthusiasts
- HR, L&D, and People Professionals
Prerequisites
At Course Completion
You’ll learn to:
- Understand AI Fundamentals
- Explain how AI systems generate outputs and learn from data
- Differentiate between AI, Generative AI, LLMs, and traditional software systems
- Recognize AI limitations and points of failure
- Use AI Tools Effectively
- Structure prompts for clear, accurate, and useful responses
- Operate leading AI tools for text, image, audio, and automation tasks
- Integrate AI outputs into workflows responsibly
- Apply Responsible AI Practices
- Identify bias, hallucinations, and ethical concerns in AI outputs
- Apply privacy, governance, and ethical standards in AI usage
- Make informed decisions based on AI outputs, not blind trust
- Prepare for Advanced AI Learning
- Build foundational knowledge for AI, ML, or Generative AI certifications
- Develop confidence for professional or academic AI applications
Course Outline
- Understand the Similarities, Differences, and Collaboration between Human and Artificial Intelligence
- Explain How Data, Algorithms, and Models form the Foundation of AI Systems
- Summarize Major Milestones and Developments in the Evolution of AI
- Explore Recent Advancements and Future Directions Shaping AI Technologies
- Identify Common AI Technologies Used in Daily Life
- Recognize AI Tools in the Workplace and How they Improve Workflow and Decision-Making
- Explain How AI Improves Manufacturing and Industrial Processes
- Explain How AI Improves Transportation Safety, Efficiency, and Sustainability
- Identify How AI Personalizes Learning and Provides Feedback
- Identify How AI Improves Security by Detecting Threats, Protecting Data, and Ensuring Privacy
- Understand the Role of Data for Effective AI Systems
- Identify the Different AI Models and Explain How They are Developed and Trained
- Understand Machine Learning and Neural Networks
- Understand Natural Language Processing (NLP) and its Role in AI
- Explain Generative AI (GenAI) and Large Language Models (LLMs)
- Understand Advanced AI Systems and Technologies
- Select the Appropriate Tools Based on AI Project Requirements
- Understand the Basics of Prompt Engineering
- Learn How to Craft Effective Prompts
- Learn Prompt Engineering Techniques
- Identify Key Ethical, Societal, and Security Concerns in AI Systems
- Explain the Principles and Importance of Using AI Ethically and Fairly
- Apply Responsible Practices, Governance, and Global Standards in AI Usage.
Overview
Overview
Artificial intelligence is no longer a future trend. It is already embedded in business operations, education, and the global workforce. Yet its rapid spread has outpaced foundational understanding and skills needed to use it effectively, ethically, and responsibly.
Artificial Intelligence Essentials (AI|E) is EC-Council’s foundational AI literacy certification. It equips professionals and students with a practical understanding of how AI works, how it is used, and how to engage with it responsibly in real-world environments. This course prepares students to:
- Understand how AI systems behave, generate outputs, and where they can fail
- Critically evaluate AI outputs for quality, accuracy, and ethical alignment
- Use AI tools effectively in real-world workflows
- Apply responsible AI practices aligned with ethical, privacy, and regulatory standards
- Build confidence to make informed AI-driven decisions across business, academic, and personal contexts
This credential closes the critical gap between AI use and AI understanding, responsibility, and judgment.
Audience Profile
Audience Profile
- Students and Early Learners
- IT Professionals and Engineers
- Entrepreneurs and Decision-Makers
- Analysts and Project and Operations Managers
- Non-IT Working Professionals
- Educators and Trainers
- AI Enthusiasts
- HR, L&D, and People Professionals
Prerequisities
Prerequisites
At Course Completion
At Course Completion
You’ll learn to:
- Understand AI Fundamentals
- Explain how AI systems generate outputs and learn from data
- Differentiate between AI, Generative AI, LLMs, and traditional software systems
- Recognize AI limitations and points of failure
- Use AI Tools Effectively
- Structure prompts for clear, accurate, and useful responses
- Operate leading AI tools for text, image, audio, and automation tasks
- Integrate AI outputs into workflows responsibly
- Apply Responsible AI Practices
- Identify bias, hallucinations, and ethical concerns in AI outputs
- Apply privacy, governance, and ethical standards in AI usage
- Make informed decisions based on AI outputs, not blind trust
- Prepare for Advanced AI Learning
- Build foundational knowledge for AI, ML, or Generative AI certifications
- Develop confidence for professional or academic AI applications
Course Outline
Course Outline
- Understand the Similarities, Differences, and Collaboration between Human and Artificial Intelligence
- Explain How Data, Algorithms, and Models form the Foundation of AI Systems
- Summarize Major Milestones and Developments in the Evolution of AI
- Explore Recent Advancements and Future Directions Shaping AI Technologies
- Identify Common AI Technologies Used in Daily Life
- Recognize AI Tools in the Workplace and How they Improve Workflow and Decision-Making
- Explain How AI Improves Manufacturing and Industrial Processes
- Explain How AI Improves Transportation Safety, Efficiency, and Sustainability
- Identify How AI Personalizes Learning and Provides Feedback
- Identify How AI Improves Security by Detecting Threats, Protecting Data, and Ensuring Privacy
- Understand the Role of Data for Effective AI Systems
- Identify the Different AI Models and Explain How They are Developed and Trained
- Understand Machine Learning and Neural Networks
- Understand Natural Language Processing (NLP) and its Role in AI
- Explain Generative AI (GenAI) and Large Language Models (LLMs)
- Understand Advanced AI Systems and Technologies
- Select the Appropriate Tools Based on AI Project Requirements
- Understand the Basics of Prompt Engineering
- Learn How to Craft Effective Prompts
- Learn Prompt Engineering Techniques
- Identify Key Ethical, Societal, and Security Concerns in AI Systems
- Explain the Principles and Importance of Using AI Ethically and Fairly
- Apply Responsible Practices, Governance, and Global Standards in AI Usage.
