IBM
Introduction to Artificial Intelligence (AI)
IBM

Introduction to Artificial Intelligence (AI)

Rav Ahuja

Instructor: Rav Ahuja

619,922 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(19,527 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 12 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(19,527 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 12 hours
Learn at your own pace
96%
Most learners liked this course

What you'll learn

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

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

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

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

Skills you'll gain

  • Category: Artificial Neural Networks
  • Category: Computer Vision
  • Category: Business Technologies
  • Category: ChatGPT
  • Category: Large Language Modeling
  • Category: Digital Transformation
  • Category: Artificial Intelligence and Machine Learning (AI/ML)
  • Category: OpenAI
  • Category: Data Ethics
  • Category: Machine Learning
  • Category: Ethical Standards And Conduct
  • Category: Deep Learning
  • Category: Business Transformation
  • Category: Applied Machine Learning
  • Category: Artificial Intelligence
  • Category: Prompt Engineering
  • Category: Governance
  • Category: Generative AI
  • Category: Natural Language Processing
  • Category: Automation

Details to know

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Assessments

12 assignments

Taught in English

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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

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.

What's included

12 videos2 readings3 assignments1 app item1 discussion prompt3 plugins

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.

What's included

14 videos1 reading3 assignments1 discussion prompt1 plugin

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.

What's included

12 videos1 reading4 assignments1 app item1 discussion prompt3 plugins

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.

What's included

7 videos3 readings2 assignments1 app item2 plugins

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Instructor

Instructor ratings
4.6 (5,959 ratings)
Rav Ahuja
Rav Ahuja
IBM
57 Courses3,848,819 learners

Offered by

IBM

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4.7

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