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Artificial Intelligence (AI)

This course introduces the fundamentals of Artificial Intelligence, including key concepts, technologies, and real-world applications. Learners will explore AI ethics, business use cases, and implementation strategies. By the end, they will be able to confidently…
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Instructor
Duration
5h
Lectures
23
Language
English
Level
beginner
Artificial Intelligence (AI)
Free
One-time payment. Lifetime access.
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Course Curriculum

Learning Path

Structured Course Content

Creator and student users now use the same progress-aware curriculum context.

23 Lessons 2 Quizzes Preview Available
Lessons
6 items
Chapter 1: What Is AI? History and Evolution
Artificial Intelligence (AI) is one of the most transformative technologies of the 21st century. It refers to…
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Chapter 1: What Is AI? History and Evolution
Chapter 2: Types of AI & Machine Learning vs. Deep Learning
Artificial Intelligence (AI) is often used as a general term to describe intelligent computer systems, but no…
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Chapter 2: Types of AI & Machine Learning vs. Deep Learning
Chapter 3: How Machine Learning Works
Machine Learning (ML) is one of the most important branches of Artificial Intelligence. Instead of following…
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Chapter 3: How Machine Learning Works
Chapter 4: Data: The Fuel of AI
Artificial Intelligence is only as good as the data it learns from. No matter how advanced an AI model is, it…
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Chapter 4: Data: The Fuel of AI
Chapter 5: Ethics, Bias & Responsible AI
As Artificial Intelligence becomes more integrated into everyday life, organizations must ensure that AI syst…
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Chapter 5: Ethics, Bias & Responsible AI
Assignment
Choose a real-world or hypothetical AI tool and complete the following tasks: Identify whether the AI system…
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Quizzes
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Lessons
5 items
Chapter 1: Neural Networks & Deep Learning Basics
Artificial Intelligence has advanced rapidly over the past decade, largely because of Deep Learning. Deep Lea…
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Chapter 1: Neural Networks & Deep Learning Basics
Chapter 2: Natural Language Processing & Large Language Models
Natural Language Processing (NLP) is a branch of Artificial Intelligence that enables computers to understand…
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Chapter 2: Natural Language Processing & Large Language Models
Chapter 3: Computer Vision & Image Recognition
Computer Vision is a branch of Artificial Intelligence that enables computers to see, analyze, and understand…
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Chapter 3: Computer Vision & Image Recognition
Chapter 4: Generative AI: Text, Image & Audio Creation
Generative AI is one of the most exciting and rapidly growing areas of Artificial Intelligence. Unlike tradit…
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Chapter 4: Generative AI: Text, Image & Audio Creation
Chapter 5: Robotics & Autonomous Systems
Robotics and Autonomous Systems represent one of the most exciting applications of Artificial Intelligence. W…
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Chapter 5: Robotics & Autonomous Systems
Quizzes
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Lessons
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Chapter 1: AI in Marketing & Customer Experience
Artificial Intelligence has transformed the way businesses interact with customers. In today's competitive ma…
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Chapter 1: AI in Marketing & Customer Experience
Chapter 2: AI in Healthcare
Artificial Intelligence is transforming healthcare by helping medical professionals diagnose diseases more ac…
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Chapter 2: AI in Healthcare
Chapter 3: AI in Finance
Artificial Intelligence has become a powerful tool in the financial industry, helping banks, insurance compan…
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Chapter 3: AI in Finance
Chapter 4: AI for Productivity & Workplace Automation
Artificial Intelligence is transforming the modern workplace by helping employees complete routine tasks fast…
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Chapter 4: AI for Productivity & Workplace Automation
Chapter 5: Building an AI Adoption Strategy
Adopting Artificial Intelligence is more than simply purchasing new software or implementing advanced technol…
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Chapter 5: Building an AI Adoption Strategy
Assignment
Assignment: Build an AI Adoption Pilot Proposal Imagine you are an AI consultant hired by an organization. Se…
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Lessons
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Chapter 1: Choosing & Integrating AI Tools and Platforms
Artificial Intelligence has become widely accessible through a growing number of AI tools and platforms desig…
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Chapter 1: Choosing & Integrating AI Tools and Platforms
Chapter 2: AI Governance, Regulation & Compliance
As Artificial Intelligence becomes increasingly integrated into business, healthcare, finance, education, and…
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Chapter 2: AI Governance, Regulation & Compliance
Chapter 3: Measuring AI ROI & Performance
Implementing an Artificial Intelligence solution is only the first step in an organization's AI journey. To d…
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Chapter 3: Measuring AI ROI & Performance
Chapter 4: Careers & Skills in the AI Era
Artificial Intelligence is transforming the world of work at an unprecedented pace. Across industries such as…
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Chapter 4: Careers & Skills in the AI Era
Chapter 5: Capstone: Designing an AI Implementation Roadmap
This final chapter brings together everything learned throughout the course and challenges learners to apply…
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Chapter 5: Capstone: Designing an AI Implementation Roadmap
Quizzes
1 item
Quiz
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5 Questions Pass 80% 0/1 Attempts Locked
Lessons
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Overview
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Quizzes
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Final Assessment
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More Details

Course Overview

Full Course Description and Learning Context

This course introduces the fundamentals of Artificial Intelligence, including key concepts, technologies, and real-world applications. Learners will explore AI ethics, business use cases, and implementation strategies. By the end, they will be able to confidently understand, evaluate, and apply AI in professional environments.

Duration
5h

What You’ll Learn

Understand AI, Machine Learning & Deep Learning.
Explore AI technologies including NLP, Computer Vision, and Generative AI.
Understand AI ethics, bias, and responsible AI principles
Create a basic AI implementation roadmap.

Target Audience

Working professionals seeking AI literacy.
Business leaders and managers.
Students and career changers interested in AI.

Materials Included

19 video lessons across 4 modules.
Module quizzes and final assessment.
Downloadable course notes/slides (PDF).
Capstone project template/checklist.

Requirements / Instructions

No prior AI or programming experience required.
Basic computer and internet access needed.
Complete modules in sequence for best results.
Finish quizzes and the capstone project to complete the course.

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