Robotics
Robotics is the branch of technology that deals with the design, construction, and operation of robots (machines that can perform tasks automatically or with human guidance).
Rajul Aggarwal
IBM
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What you'll learn
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Explain the fundamental concepts and applications of AI in various domains.
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Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.
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Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.
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Design a generative AI solution for an organizational challenge, integrating ethical considerations.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
12 assignments
Taught in English
30 languages available
See how employees at top companies are mastering in-demand skills
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This course is available as part of multiple programs
- 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.
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