AI Applications in Manufacturing, Sports, and Finance
Apply generative AI and data-driven solutions to optimize manufacturing, enhance sports analytics, and innovate financial trading and asset management.
Subject area
AI & Emerging Technology
Build, deploy and govern AI systems — from prompt engineering and machine learning to responsible AI and MLOps.
Specializations in this field
Each is an ordered path of three to five courses, sequenced so that the second course can assume what the first one taught. Every title is a Wiley book rebuilt as structured learning.
AI Applications in Urban, Retail, Marketing, and Legal Sectors
Apply AI and automation solutions to real-world challenges in smart cities, retail, marketing, and legal technology.
AI Cloud Platforms and MLOps
Deploy, manage, and optimize AI solutions on cloud platforms with MLOps best practices.
AI for Social Good and Sustainability
Deploy AI technologies to address societal, humanitarian, and environmental challenges.
AI in Creative Industries and Content Generation
Utilize AI for content creation, business writing, art, and storytelling.
AI Leadership Foundations for Enterprise Transformation
Apply enterprise AI concepts and leadership strategies to drive digital change and outcompete in the AI era.
AI Product Management and Strategy
Lead the development and lifecycle of AI-powered products from concept to execution.
AI Security, Deepfakes, and Digital Integrity
Detect, mitigate, and manage AI-driven threats such as deepfakes and digital disinformation.
AI-Driven Decision Intelligence and Analytics
Leverage AI and data analytics to support and automate complex decision-making.
AI-Driven Innovation and Hyperautomation
Apply generative and agentic AI to innovate, automate, and enhance business competitiveness.
AI-Driven Marketing and Financial Forecasting
Apply generative AI, neuroscience, and agent-based solutions to enhance marketing pipelines and financial predictions.
Applied Generative AI Solutions with LLMs and AWS
Design, implement, and optimize generative AI applications using ChatGPT, coding tools, and AWS services including Amazon Bedrock.
Foundations of Generative AI and Prompt Engineering
Apply core generative AI concepts and craft effective prompts for diverse creative and business applications.
Machine Learning and Deep Learning Engineering
Develop, deploy, and optimize machine learning and deep learning models for real-world tasks.
Metaverse, Web3, and Emerging Tech Ecosystems
Develop strategies and applications for the metaverse, Web3, and convergent emerging technologies.
Python Programming for Data Science and AI
Use Python and its ecosystem to analyze data and build AI/ML applications.
Responsible AI, Ethics, and Governance
Implement and oversee trustworthy, ethical, and responsible AI practices in organizations.
Spatial Computing and Remote Sensing
Apply AI and image processing techniques to spatial computing and earth observation tasks.
Single-course subjects
Not every capability needs a path. These stand on their own — one Wiley title, one complete course, nothing else required.