
Wiley
Blockchain Platforms and Applications
This unit explores major blockchain platforms, their ecosystems, and practical applications across public and permissioned networks. Students will configure development […]
FreeFoundations of Blockchain Platforms
This unit introduces the core concepts, history, and ecosystem variety of distributed ledger technologies and major public and permissioned blockchains. […]
FreeAI Implementation and Optimization
This capstone unit builds on prior prompt-writing fundamentals and focuses on real-world implementation, optimization, and governance of AI in business […]
FreeAI for Marketing and Automation
This unit develops practical skills for deploying, measuring, and governing AI-driven prompts and systems across marketing, customer engagement, and workflow […]
FreeApplied Prompting and AI Integration
This unit develops practical prompt-writing skills and integrates ethical, privacy, and workflow considerations into real-world AI tasks. Students will learn […]
FreeFoundations of AI Prompting
This unit introduces foundational knowledge and practical skills for creating effective AI prompts across text, image, audio, and conversational interfaces. […]
FreeDeploying Secure Generative AI Apps
This unit covers end-to-end implementation and deployment practices for generative AI applications using Amazon Bedrock playgrounds and a Flask web […]
FreeBedrock Generative Model Workflows
This unit trains students to integrate and operate generative AI models within the Amazon Bedrock ecosystem, covering image generation, multimodal […]
FreeBedrock Setup and Integration
This unit guides students through configuring AWS tooling and Amazon Bedrock to develop, test, and deploy generative AI applications. Learners […]
FreeGenerative AI Foundations with Bedrock
This unit introduces the current generative AI landscape, core prompt engineering practices, and an overview of Amazon Bedrock and multimodal […]
FreeAdvanced Generative Models and Careers
This culminating unit examines a range of advanced generative models (DeepFaceLab, DeepArt Effects, AIVA, WaveNet, ImageNet, VQ-VAE), emphasizing the role […]
FreeGenerative AI Tools and Prompting
This unit examines a range of specialized generative models (audio, image, code, video, and face synthesis) and how prompt design […]
FreeGenerative AI Models and Prompts
This unit surveys major generative and specialized machine learning models (ChatGPT, DALL·E, CTRL, T2T, BERT, Tacotron, MuseNet), focusing on how […]
FreeFoundations of Prompt Engineering
This unit introduces core concepts and vocabulary of AI, machine learning, and prompt engineering, explains how prompts guide AI responses […]
FreeModel Training, Optimization & Deployment
This unit covers advanced TensorFlow topics for producing, optimizing, debugging, and deploying machine learning models. Students will integrate feature processing, […]
FreeBuilding and Training Neural Models
This unit guides learners through transforming and visualizing data, constructing TensorFlow models, and training both logistic and deep neural networks. […]
FreeTensorFlow Training and Operations
This unit covers configuring TensorFlow runtimes and devices, building data pipelines, training and testing estimators and neural network models, and […]
FreeFoundations of TensorFlow and ML
This unit introduces core machine learning concepts and the TensorFlow ecosystem, including installation, tensor creation, graph execution, and basic model […]
FreeAI-Driven Spatial Strategy Integration
This capstone unit synthesizes prior learning to produce actionable business strategies for AI-driven spatial computing. Students evaluate technical, ethical, regulatory, […]
FreeDesigning AI-Driven Spatial Experiences
This unit explores how AI (including ML, DL, and computer vision) is integrated into spatial computing to create immersive, measurable, […]
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