Description
Introduction to Artificial Intelligence (AI) is a course offered by IBM on Coursera, designed to provide a foundational understanding of AI. The course covers essential AI concepts such as machine learning, deep learning, and neural networks. Participants will explore the applications of AI across various domains, including natural language processing, computer vision, and robotics. The course also delves into generative AI models, including large language models (LLMs), and their capabilities. Learners will gain insights into how AI is reshaping business and work environments, with a focus on ethical considerations and AI governance.
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The course includes hands-on labs and projects, allowing participants to apply AI concepts in real-world scenarios. It is suitable for professionals, enthusiasts, and students interested in launching or transforming their AI careers. The course is structured into four modules, each focusing on different aspects of AI, from foundational concepts to ethical considerations.
Participants will have access to course materials, assignments, and the opportunity to earn a certificate upon completion. The course also offers a free trial option for eligible learners. With over 947,535 enrollments and 23,359 reviews, it is a popular choice for those seeking to enhance their AI literacy and skills.
- CategoryAI Course Creators
- Pricing ModelFree Trial
Introduction to Artificial Intelligence (AI)'s Core Features
Covers core AI concepts
Includes machine learning and deep learning
Explores generative AI models
Focuses on ethical AI considerations
Hands-on labs and projects
Suitable for professionals and students
Certificate upon completion
Free trial available
How to use Introduction to Artificial Intelligence (AI)?
Enroll: Sign up for the course on Coursera
Access Materials: Start with the free trial or purchase the certificate experience
Learn: Engage with videos, readings, and assignments
Apply: Complete hands-on labs and projects
Introduction to Artificial Intelligence (AI)'s Use Cases
- AI Literacy
- Career Transformation
- Generative AI
- Ethical AI
- Hands-on Experience
