AI Fundamentals

About Course

Learn the core concepts of Artificial Intelligence, understand how AI systems work, explore real-world applications, and build a strong foundation for using AI technologies. This beginner-friendly course introduces essential AI concepts, terminology, tools, applications, Machine Learning fundamentals, and the basics of Generative AI.

Understand the fundamental concepts and terminology of Artificial Intelligence
Learn how AI systems use data, algorithms, and models to make predictions and decisions
Understand the basics of Machine Learning, Deep Learning, and Neural Networks
Explore Generative AI and how modern AI tools create text, images, audio, and other content
Discover practical applications of AI across different industries
Understand AI ethics, privacy, bias, security, and responsible AI usage
Identify opportunities to use AI tools in everyday tasks and professional workflows
Build a strong foundation for further learning in AI and related technologies

Course Content

Module 1: Introduction to Artificial Intelligence
What is Artificial Intelligence? History and Evolution of AI Types of Artificial Intelligence Key AI Terminology and Concepts How AI Systems Work AI in Everyday Life

Module 2: Machine Learning and Deep Learning Fundamentals
What is Machine Learning? Supervised, Unsupervised, and Reinforcement Learning Understanding Data, Algorithms, and Models Introduction to Neural Networks and Deep Learning Training, Testing, and Evaluating AI Models Real-World Machine Learning Applications

Module 3: Generative AI and Practical AI Applications
What is Generative AI? Large Language Models and AI Assistants Text, Image, Audio, and Video Generation Understanding Prompts and AI Instructions AI Applications in Business, Education, Marketing, and Healthcare Using AI Tools for Productivity and Automation

Module 4: Responsible AI and Future of Artificial Intelligence
Understanding Responsible and Ethical AI AI Bias, Fairness, and Transparency Data Privacy and AI Security Limitations and Risks of AI Evaluating and Verifying AI-Generated Results Future Trends, Skills, and Career Opportunities in AI

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AI Fundamentals

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Artificial Intelligence
What is Artificial Intelligence? History and Evolution of AI Types of Artificial Intelligence Key AI Terminology and Concepts How AI Systems Work AI in Everyday Life

Module 4: Responsible AI and Future of Artificial Intelligence
Understanding Responsible and Ethical AI AI Bias, Fairness, and Transparency Data Privacy and AI Security Limitations and Risks of AI Evaluating and Verifying AI-Generated Results Future Trends, Skills, and Career Opportunities in AI

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About Course

What Will You Learn?

Course Content

Module 1: Introduction to Artificial Intelligence What is Artificial Intelligence? History and Evolution of AI Types of Artificial Intelligence Key AI Terminology and Concepts How AI Systems Work AI in Everyday Life

Module 4: Responsible AI and Future of Artificial Intelligence Understanding Responsible and Ethical AI AI Bias, Fairness, and Transparency Data Privacy and AI Security Limitations and Risks of AI Evaluating and Verifying AI-Generated Results Future Trends, Skills, and Career Opportunities in AI

Student Ratings & Reviews

Please Rotate Your Device

Module 1: Introduction to Artificial Intelligence
What is Artificial Intelligence? History and Evolution of AI Types of Artificial Intelligence Key AI Terminology and Concepts How AI Systems Work AI in Everyday Life

Module 4: Responsible AI and Future of Artificial Intelligence
Understanding Responsible and Ethical AI AI Bias, Fairness, and Transparency Data Privacy and AI Security Limitations and Risks of AI Evaluating and Verifying AI-Generated Results Future Trends, Skills, and Career Opportunities in AI