Artificial Intelligence Essentials (AIE v1)

Build AI Literacy & Use AI Responsibly

  • Understand how AI systems work and where they fail
  • Use AI tools effectively in real-world workflows
  • Evaluate AI outputs for accuracy and reliability
  • Apply ethical, privacy, and governance principles
  • Make informed AI-driven decisions confidently
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Artificial Intelligence Essentials (AIE) is a foundational certification designed to help individuals understand, use, and interact with AI responsibly in real-world environments. This course bridges the gap between AI usage and understanding by focusing on how AI systems behave, how outputs are generated, and how to evaluate them critically. It equips learners with practical skills to apply AI tools effectively while ensuring ethical, secure, and responsible usage. As highlighted on page 4 of the brochure, this course bridges the gap between AI usage and true understanding by focusing on how AI systems behave, how outputs are generated, and how they should be evaluated. It equips learners with practical skills to apply AI tools effectively while ensuring ethical, secure, and responsible usage.

What This Certification Covers

The AIE course provides a structured introduction to artificial intelligence, covering core concepts, real-world applications, prompt engineering, and responsible AI practices. It ensures learners understand how AI works, where it can fail, and how to use it effectively across different workflows while maintaining ethical and governance standards.

Key Skills You Will Gain

  • Understanding AI fundamentals, models, and systems
  • Differentiating AI, ML, Generative AI, and LLMs
  • Identifying AI limitations, bias, and hallucinations
  • Prompt engineering for accurate AI outputs
  • Using AI tools for text, image, and automation
  • Applying ethical, privacy, and governance practices
Certification Name AIE
Exam Code
112-59
Exam Format
MCQ
Duration
3 Hours
Questions
75
Passing Score
As per EC-Council criteria

Students, professionals, educators, entrepreneurs, and anyone looking to build AI literacy can enroll.

Yes, the course includes practical exposure to AI tools and real-world use cases.

Yes, the course includes practical exposure to AI tools and real-world use cases.

Yes, both online and offline modes are available.

You will learn to work with modern AI tools across text, image, and automation use cases.

It is designed as a foundational course with no prior experience required.

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Master The Syllabus

Module 01: Introduction to Artificial Intelligence
  • Human Intelligence vs Artificial Intelligence
  • AI vs Traditional Software
  • Human-AI Collaboration
  • Limitations of AI
  • Data, Algorithms & Models
  • Evolution of AI (History)
  • AI Trends & Future Directions
  • AI in Daily Life (Assistants, Smart Homes, Shopping, etc.)
  • AI in Workplace Productivity & Decision Making
  • AI in Manufacturing & Industry
  • AI in Transportation & Logistics
  • AI in Education & Learning Systems
  • AI in Cybersecurity & Data Protection
  • Data Types & Data Quality
  • AI Models & Training Process
  • Machine Learning & Algorithms
  • Neural Networks & Deep Learning
  • Computer Vision
  • Generative AI & LLMs
  • Advanced AI (Robotics, AI Agents, XAI)
  • AI Tools Selection
  • Generative AI & LLMs
  • Prompt Engineering Basics
  • How AI Interprets Prompts
  • Writing Effective Prompts
  • Prompt Optimization Techniques
  • Chain-of-Thought Prompting
  • Iterative Prompting
  • Multimodal Prompting
  • AI Ethical Concerns (Bias, Transparency, Accountability)
  • Privacy & Security Risks
  • Societal Impact (Jobs, Misinformation, Deepfakes)
  • Responsible AI Principles
  • AI Governance & Regulations (GDPR, CCPA, DPDP)
  • Safe & Ethical Use of AI

Program Highlights

40+ live sessions across 3 months

Hands-on labs & real-world practice

5 structured modules

Practical assignments & exercises

Tools Covered

ChatGPT & Generative AI

Creation

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AI Image Tools

Images

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AI Content Tools

Content

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Automation AI

Automation

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NLP Systems

Language

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VirtualBox

Virtualization

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Training Certification and Exam Details

  • Understand how AI systems generate outputs
  • Strong foundation in AI concepts and applications
  • Practical knowledge of prompt engineering
  • Hands-on experience with AI tools
  • Ability to evaluate AI outputs critically
Master In Courses.

One Corse Multiple Roles

Cloud Engineer
Cloud Administrator
Cloud Security Engineer
DevOps Engineer
Infrastructure Engineer
Systems Engineer
Cloud Operations Engineer
Site Reliability Engineer (SRE)
Cloud Support Engineer
Technical Operations Engineer

Our Learners Got Assured Placements. So Can You!

Exclusive Support You Will Get

1-on-1 mentorship & doubt solving

Resume building assistance

Interview preparation sessions

Placement assistance support

Career guidance from experts

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