
Wiley
Deep Learning Architectures and Tools
This unit develops practical fluency with the core mathematics, architectures, and tooling of deep learning: environment setup, frameworks (TensorFlow/Keras), linear […]
FreeFoundations of Deep Learning
This unit introduces core concepts, mathematics, and tooling of deep learning, including Python programming, common frameworks, and basic neural architectures […]
FreeApplied ChatGPT in Practice
This capstone unit synthesizes advanced prompting, verification, and deployment strategies to apply ChatGPT across real-world domains such as IT operations, […]
FreeAdvanced ChatGPT Prompting Applications
This unit advances foundational ChatGPT skills into targeted prompt engineering, model tuning, and domain-specific workflows. Students learn to tailor prompts […]
FreeApplied Prompting and Multimodal AI
This unit develops practical prompt-engineering skills and multimodal use of ChatGPT, covering model selection, UI features, audio and visual outputs, […]
FreeFoundations of ChatGPT Use
This unit introduces learners to ChatGPT account types, GPT model families (including unimodal and multimodal distinctions), core prompt-engineering practices, and […]
FreeCausal AI Futures and Integration
This capstone unit examines emerging trends and technologies shaping the next generation of causal AI, including generative models, causal reinforcement […]
FreeCausal AI Implementation and Governance
This unit focuses on operationalizing causal AI by covering explainability, bias detection, the end-to-end causal AI pipeline, synthetic data, available […]
FreeCausal Model Design & Collaboration
This unit introduces students to conceptual and process modeling for causal AI, the fundamental building blocks of causal models, and […]
FreeFoundations of Causal AI
This unit introduces the fundamentals, business value, and context of causal artificial intelligence, contrasting it with traditional analytics and outlining […]
FreeAI Practitioner Exam Capstone
This capstone unit consolidates AWS Certified AI Practitioner exam essentials while applying practical techniques for inference optimization and model evaluation […]
FreeML Services, Inference, and Safety
This unit covers cloud ML services and operational workflows on AWS, focusing on prompt engineering, model deployment/inference, automation of MLOps, […]
FreeModeling, MLOps, and Responsible AI
This unit introduces core model concepts, operational practices, and governance needed to customize, deploy, and monitor AI systems on AWS. […]
FreeFoundations of AI on AWS
This unit introduces foundational AI and machine learning concepts, a brief history, and current trends while surveying AWS-managed AI and […]
FreeAI Impacts, Safety, and Futures
This capstone quarter-unit examines real-world AI deployments, synthesizes expert insights on research and safety, and draws key takeaways to anticipate […]
FreeSocietal and Strategic Impacts
This unit examines how agentic AI and evolving AI platforms affect healthcare, economics, geopolitics, privacy, security, entertainment, and global trends. […]
FreeSociety, Ethics, and Agentic AI
This unit examines the societal, cultural, ethical, economic, and environmental implications of agentic AI and revisits foundational principles of intelligence […]
FreeFoundations of AI Agents
This unit introduces learners to autonomous AI agents and their implications for individuals, households, workplaces, and society. Students will build […]
FreeAdvanced AI Systems and Applications
This capstone unit synthesizes advanced topics in AI systems engineering, including integration with specialized sensors and hardware, telepresence and automation, […]
FreeApplied AI Systems and Ethics
This unit advances foundational AI concepts into applied systems and real-world contexts, covering machine learning models, deep learning, generative AI, […]
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