Wiley
Prompting, Ethics, and AI Workflows
This unit builds on introductory concepts to focus on practical prompt design, ethical use, and integration of AI across media […]
Free
AI Prompting Foundations
This unit introduces the core concepts and practical skills for writing effective AI prompts across text, image, audio, and conversational […]
Free
Generative AI Application Development
This unit guides students through building, testing, and deploying generative AI web applications using Amazon Bedrock and Flask, with hands-on […]
Free
Generative AI with Amazon Bedrock
This unit covers advanced practical skills for using generative and multimodal foundational models via Amazon Bedrock, including image generation with […]
Free
Deploying Generative AI on AWS
This unit guides students through configuring the AWS CLI and Amazon Bedrock environment, establishing the technical foundation for using generative […]
Free
Generative AI Foundations and Setup
This unit introduces the current generative AI landscape, core prompt-engineering practices, and Amazon Bedrock’s role in model access while addressing […]
Free
Prompt Engineering Capstone and Careers
This unit synthesizes advanced prompt engineering concepts by evaluating prominent generative AI systems (DeepFaceLab, DeepArt Effects, AIVA, WaveNet, ImageNet, VQ-VAE), […]
Free
Generative AI Tools and Prompting
This unit examines a range of generative AI models (audio, image, text/code, and deepfake tools) and how prompt design influences […]
Free
Comparative Prompting Across Models
This unit surveys major generative and encoder models (ChatGPT, DALL·E, CTRL, T2T, BERT, Tacotron, MuseNet), focusing on how prompts function […]
Free
Foundations of Prompt Engineering
This unit introduces core concepts of artificial intelligence, machine learning, and deep learning and traces the origins and role of […]
Free
Model Training, Optimization, Deployment
This unit covers advanced TensorFlow skills for building robust training pipelines, optimizing deep learning models, managing model state, and preparing […]
Free
TensorFlow Model Training and Deployment
This unit covers building, training, visualizing, and deploying TensorFlow models. Students will learn tensor transformations, logistic regression and deep learning […]
Free
Training and Deployment with TensorFlow
This unit expands foundational TensorFlow concepts into hands-on model training, evaluation, and deployment workflows. Students will work with data pipelines, […]
Free
TensorFlow Foundations and Machine Learning
This unit introduces core machine learning concepts and the foundational TensorFlow workflow, including installation, tensors, computation graphs, sessions, estimators, and […]
Free
AI-Driven Spatial Computing Strategy
This capstone unit synthesizes technical, business, ethical, and regulatory perspectives to guide organizational adoption of AI-driven spatial computing. Students will […]
Free
Integrating AI into Spatial Experiences
This unit examines how AI — including ML, DL, computer vision, and generative models — combines with spatial computing to […]
Free
AI and Spatial Computing Applications
This unit examines the current landscape and capabilities of AI-driven spatial computing, surveying the evolution of technologies, categories of AI […]
Free
Foundations of AI-Driven Spatial Computing
This unit introduces the historical, technological, and business contexts for AI-driven spatial computing, tracing media and UX revolutions from photography […]
Free
Azure AI and LLM Security
This unit focuses on securing large language model (LLM) applications and Azure AI services, including Azure AI Search, across the […]
Free
Deploying Secure Azure LLM Infrastructure
This unit teaches students how to design, deploy, and secure a three-tier LLM application on Microsoft Azure using managed services. […]
Free