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.
Introduction to Artificial Intelligence (AI)
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Introduction to Artificial Intelligence (AI)
This course is part of multiple programs.
Instructor: Rav Ahuja
619,922 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(19,483 reviews)
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
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
Shareable certificate
Add to your LinkedIn profile
Assessments
12 assignments
Taught in English
Build your subject-matter expertise
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- 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
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
4.6 (5,944 ratings)Rav Ahuja
IBM
57 Courses3,848,819 learners
Offered by
IBM
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Learner reviews
4.7
19,483 reviews
- 5 stars
77.24%
- 4 stars
18.22%
- 3 stars
2.91%
- 2 stars
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0.96%
Showing 3 of 19483
VT
5
Reviewed on May 29, 2020
Very informative & interactive session organized by the team, loved it, thanks team for making us informed about the growing and emerging technologies in the field of Artificial Intelligence
LS
5
Reviewed on Aug 9, 2024
This course navigates you through AI concepts and applications in real life by citing examples from diverse group of professionals which will help the learner connect the dots of AI life cycle.
MA
5
Reviewed on Jul 17, 2020
It was really an amazing introduction to Artificial Intelligence course with lot of discussions that matter a lot in this field for learning more and more applications of Artificial Intelligence.
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