Übersicht
This course introduces learners to the core principles of artificial intelligence, including its history, definitions, and the role of data in AI. You’ll explore algorithms, specialized hardware, and delve into machine learning and deep learning fundamentals.
Ethical considerations around AI, especially generative AI (GenAI), will also be discussed, ensuring you understand the broader impact AI has on society and the workforce. With clear explanations and real-world examples, the course ensures you not only learn theoretical concepts but also understand their practical implications.
You’ll also gain insight into the growing landscape of jobs in the AI-driven world, preparing you to navigate the evolving job market and ethical challenges. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area.
While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From Artificial Intelligence All-in-One For Dummies Copyright © 2025 by John Wiley & Sons, Inc.
All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Used by arrangement with John Wiley & Sons, Inc.
Lehrplan
- Delving into What AI Means
This module introduces the foundational concepts of artificial intelligence, including its definitions, categories, and real-world applications. Learners will also explore common misconceptions and sources of hype surrounding AI, gaining a clearer understanding of what AI truly is and is not.
- Defining Data's Role in AI
This module examines the essential role of data in artificial intelligence, focusing on methods for ethical data collection, data preparation, and ensuring data reliability. Learners will explore common pitfalls such as data mistruths and the importance of perspective, as well as strategies for maintaining data security and integrity in AI applications.
- Considering the Use of Algorithms
This module explores how algorithms and data interact within artificial intelligence, emphasizing planning, graph traversal, and the use of heuristics in problem-solving. Learners will discover how expert systems and search strategies are applied to real-world and game-based scenarios. The module also highlights the importance of selecting appropriate algorithms to address complex, data-driven challenges.
- Pioneering Specialized Hardware
This module explores the evolution and impact of specialized hardware in artificial intelligence, including GPUs, deep learning processors, and advanced sensor integration. Learners will examine the limitations of standard hardware, compare performance across processor types, and understand how specialized environments enhance AI capabilities.
- Parsing Machine Learning and Deep Learning
This module introduces the foundational concepts of machine learning, deep learning, and natural language processing, including how models are trained and evaluated. Learners will explore the mechanics of neural networks, attention mechanisms, and the architecture of transformer and generative AI models. By the end, you'll gain a clearer understanding of how modern AI systems interpret and generate human language.
- Upholding Responsible AI Standards in GenAI Use
This module guides learners through the ethical, quality, and journalistic standards essential for responsible use of Generative AI. You will discover how to maintain integrity and accountability in AI-generated content, balance speed with ethical considerations, and align your practices with global responsible AI initiatives.
- Finding Job Security in an AI World
This module guides learners through identifying human skills that remain essential in an AI-driven workplace, such as emotional intelligence and creativity. Learners will discover how to adapt and transfer their current abilities to future-proof roles, develop strategies for career transitions, and proactively leverage AI technologies to enhance their professional value.
Unterrichtet von
Wiley Skills Network
Fachgebiete
Artificial Intelligence
