From personalized shopping recommendations to advanced medical imaging, artificial intelligence (AI) is driving innovation across industries and transforming the way you live, learn, and work. AI Fundamentals: Foundations for Understanding AI is your introduction to the core concepts and technologies of AI.
In five engaging modules, you’ll explore what AI is, how machines and humans learn differently, and how machine learning, neural networks, and deep learning drive today’s AI applications. You’ll discover real-world examples of AI in action, practice applying models to solve problems, and reflect on the ethical considerations of using AI responsibly. Whether you’re a student, professional, or lifelong learner, this course equips you with the knowledge and skills to understand, explain, and apply AI in meaningful ways.
Complete the following required modules to earn an industry-recognized IBM SkillsBuild digital credential called AI Fundamentals:Foundations for Understanding AI:
Introduction to Artificial Intelligence
The Intelligence Behind AI
Machine Learning
Neural Networks and Deep Learning
AI Forms and Functions
What you’ll learn
After completing AI Fundamentals: Foundations for Understanding AI, you should be able to:
Describe the foundations of artificial intelligence, including its forms, eras of data processing, and data types
Differentiate human and machine intelligence by recognizing learning processes, machine capabilities, and applications of AI
Apply machine learning principles by using classical models, identifying learning types, and considering their impact on AI accuracy and outputs
Explain how neural networks and deep learning function, including their learning processes, limitations, and issues of fairness and bias
Identify different forms of AI, including predictive, decision-making, computer vision, and generative AI, and their appropriate applications
Audience: This intermediate-level course is for anyone curious about the AI technologies shaping today’s digital world.
The knowledge and skills in these modules build on each other, so IBM SkillsBuild recommends that you complete the modules in the order in which they are presented.
Languages: English, Brazilian Portuguese
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.
From personalized shopping recommendations to advanced medical imaging, artificial intelligence (AI) is driving innovation across industries and transforming the way you live, learn, and work. AI Fundamentals: Foundations for Understanding AI is your introduction to the core concepts and technologies of AI.
In five engaging modules, you’ll explore what AI is, how machines and humans learn differently, and how machine learning, neural networks, and deep learning drive today’s AI applications. You’ll discover real-world examples of AI in action, practice applying models to solve problems, and reflect on the ethical considerations of using AI responsibly. Whether you’re a student, professional, or lifelong learner, this course equips you with the knowledge and skills to understand, explain, and apply AI in meaningful ways.
Complete the following required modules to earn an industry-recognized IBM SkillsBuild digital credential called AI Fundamentals:Foundations for Understanding AI:
Introduction to Artificial Intelligence
The Intelligence Behind AI
Machine Learning
Neural Networks and Deep Learning
AI Forms and Functions
What you’ll learn
After completing AI Fundamentals: Foundations for Understanding AI, you should be able to:
Describe the foundations of artificial intelligence, including its forms, eras of data processing, and data types
Differentiate human and machine intelligence by recognizing learning processes, machine capabilities, and applications of AI
Apply machine learning principles by using classical models, identifying learning types, and considering their impact on AI accuracy and outputs
Explain how neural networks and deep learning function, including their learning processes, limitations, and issues of fairness and bias
Identify different forms of AI, including predictive, decision-making, computer vision, and generative AI, and their appropriate applications
Audience: This intermediate-level course is for anyone curious about the AI technologies shaping today’s digital world.
The knowledge and skills in these modules build on each other, so IBM SkillsBuild recommends that you complete the modules in the order in which they are presented.
Languages: English, Brazilian Portuguese
Sign in to IBM SkillsBuild to take this free, on-demand, virtual course.