Wiley
Applied Prompting and Integration
This unit develops practical skills for crafting, refining, and deploying generative AI outputs across text, audio, and visual formats. Students […]
FreeFoundations of Generative AI Tools
This unit introduces learners to core concepts, capabilities, and practical uses of ChatGPT and related GPT models, including account choices, […]
FreeFuture Trends in Causal AI
This capstone unit examines emerging technologies, methodologies, and ethical considerations shaping the future of causal artificial intelligence. Building on prior […]
FreeImplementing Responsible Causal AI
This unit covers the practical components of building, validating, and deploying causal AI systems with an emphasis on explainability, bias […]
FreeFoundations of Causal Modeling
This unit introduces conceptual and process models used in causal AI, the fundamental building blocks of causal models, and the […]
FreeFoundations of Causal AI
This unit introduces the core concepts, history, and business rationale for causal artificial intelligence and contrasts it with traditional analytics. […]
FreeExam Prep, LLM Optimization & Evaluation
This culminating unit prepares students for the AWS Certified AI Practitioner exam by reviewing exam essentials, reinforcing core concepts, and […]
FreeModel Deployment and Responsible AI
This unit covers selecting appropriate ML techniques and AWS services, designing effective prompts for text and multimodal models, and deploying […]
FreeMLOps, Models, and Responsible AI
This unit deepens learners’ understanding of foundation models, the transformer architecture, and the relationships among AI, ML, and deep learning […]
FreeFoundations of Cloud AI & RAG
This unit introduces the historical, conceptual, and practical foundations of artificial intelligence and generative systems with a cloud-first focus on […]
FreeAI Impacts, Safety, and Futures
This capstone unit synthesizes real-world AI applications, leading researcher perspectives, and safety considerations to prepare students for responsible practice and […]
FreeSocietal and Economic Impacts of Agentic AI
This unit examines real-world impacts, risks, and strategic opportunities of agentic AI across sectors including healthcare, finance, entertainment, and geopolitics. […]
FreeSocietal and Technical Foundations of Agentic AI
This unit examines the cultural, ethical, social, environmental, educational, and technical foundations of agentic AI, connecting first principles of intelligence […]
FreeIntelligent Agents: Personal to Societal
This unit introduces the foundations and broad impacts of intelligent agents, exploring definitions of agency, technological convergences, and the ways […]
FreeAI Applications in Extreme Contexts
This culminating unit explores advanced applications of artificial intelligence in demanding domains such as space operations, healthcare, and planetary-scale systems. […]
FreeApplied AI Systems and Ethics
This unit explores advanced AI methods (decision trees, deep learning, generative models, and computer vision) and their application in real-world […]
FreeApplied Machine Learning Systems
This unit explores foundational machine learning concepts, the specialized hardware that accelerates them (GPUs and DLPs), and practical AI application […]
FreeFoundations of Artificial Intelligence
This unit introduces foundational concepts in artificial intelligence including definitions, history, core algorithms, data practices, learning paradigms, neural networks, and […]
FreeApplied GenAI Integration and Deployment
This unit focuses on applying advanced generative AI techniques and tools to real-world problems, emphasizing end-to-end workflows, system integration, and […]
FreeAI Productization: Tools, UX, Deployment
This unit focuses on applying generative AI and tooling to real-world products and services, emphasizing user experience, accessibility, and responsible […]
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