IBM

Artifical Intelligence

Artificial Intelligence (AI) is the ability of machines or computer programs to perform tasks that typically require human intelligence.

Rajul Aggarwal

IBM
57 Courses • 3,968,052 learners

645,204 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

4.7

(20,023 reviews)

Beginner level

Recommended experience

Flexible schedule

Approx. 12 hours
Learn at your own pace

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What you'll learn

  • Explain the fundamental concepts and applications of AI in various domains.

  • Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

  • Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

  • Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Skills you'll gain

Details to know

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Assessments

12 assignments

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Taught in English

30 languages available

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This course is available as part of multiple programs

When you enroll in this course, you’ll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one.

This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases.

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The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation.

The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI.

This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.

Introduction and Applications of AI

In this module, you will explore the fundamentals of Artificial Intelligence (AI) and its growing impact across industries. You will learn to distinguish between AI and augmented intelligence and examine the evolution from traditional AI to generative AI. Through practical examples, you’ll identify real-world use cases in daily life and business. You’ll also gain hands-on experience with generative AI tools and chatbot design. By the end, you’ll understand AI’s capabilities, limitations, and role in enhancing human potential.

AI Concepts, Terminology, and Application Domains

In this module, you will explore the foundational concepts of artificial intelligence, including cognitive computing, machine learning, and deep learning. You’ll learn how AI systems simulate human cognition, process language, and recognize patterns using neural networks. The module also covers the architecture of generative models and large language models, and how AI technologies are applied in domains such as autonomous vehicles, speech recognition, and the Internet of Things (IoT). Through real-world examples and practical insights, you’ll gain a deeper understanding of the capabilities of AI and how it integrates across industries.

Business and Career Transformation Through AI

In this module, you will examine how AI agents, robotics, and automation are transforming industries by enhancing decision-making and operational efficiency. You’ll explore the rise of generative AI and its applications in business innovation, content creation, and strategic planning. The module introduces real-world business applications, including tools like retrieval-augmented generation (RAG). You’ll also examine how leading companies adopt AI and discover ways to apply AI in your own future career.

Issues, Concerns, and Ethical Considerations

In this module, you will explore the ethical foundations of AI, focusing on fairness, transparency, and accountability. You’ll examine challenges posed by generative AI, such as hallucinations and misuse, and learn strategies for ethical risk mitigation. The module covers AI governance frameworks and responsible AI practices in workplace scenarios. The model concludes with a final project where you’ll design an ethical, generative AI-driven solution to address a real organizational challenge and a graded quiz.

Instructor

Instructor ratings 4.6 ★ (6,116 ratings)

Rajul Aggarwal

IBM
57 Courses • 3,968,052 learners

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Frequently asked questions

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don’t see the audit option:

 

  • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

  • The course may offer ‘Full Course, No Certificate’ instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time.

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