
Wiley
Efficient Inference and Fine-Tuning
This unit covers techniques to produce concise model outputs, scale inference, and optimize models for deployment. Students will learn summarization […]
FreeEfficient LLM Customization and Inference
This unit introduces methods for adapting large language models with limited compute through parameter-efficient fine-tuning, explores cost/performance trade-offs, and covers […]
FreeAdvanced Prompting and Creative Applications
This unit focuses on advanced strategies for leveraging generative AI in creative and production workflows, emphasizing iterative prompting, meta-prompts, prompt […]
FreeApplied Generative AI Production
This unit focuses on advanced, practical skills for producing reliable, audience‑aware generative AI content and multimodal assets. Learners build on […]
FreeGenAI Content Creation and Oversight
This unit advances students’ practical prompt-engineering skills and editorial workflows for producing written and multimedia outputs with generative AI. Students […]
FreeGenerative AI Foundations
This unit introduces core concepts, capabilities, and workflows of generative AI and prompt engineering, surveying major providers, model types, and […]
FreeRAG and Generative AI on AWS
This capstone unit brings together retrieval-augmented generation (RAG) design, AWS-specific implementation, hands-on labs, and real-world case studies to deliver end-to-end […]
FreeImplementing Generative AI on AWS
This unit focuses on practical implementation and customization of generative AI using AWS services, centering on Amazon Bedrock, Amazon Q, […]
FreeGenerative AI Foundations and AWS Tools
This unit introduces foundational concepts of generative AI—including terminology, foundation models, LLMs, applications, and ethical/operational challenges—while bridging theory to practice […]
FreeFoundations of AI and Deep Learning
This unit surveys the historical evolution from mechanical reasoning to modern generative AI, introduces core machine learning and deep learning […]
FreeEnterprise Model Monitoring and Evaluation
This unit teaches students how to design, implement, and maintain enterprise-grade model monitoring and evaluation systems in the cloud. Students […]
FreeOperationalizing Enterprise AI
This unit focuses on operational frameworks and practical practices for deploying, monitoring, and governing AI/ML in the cloud. Students will […]
FreeEnterprise AI Deployment and Operations
This unit focuses on operationalizing AI in the cloud by teaching model deployment, monitoring, platform architecture, and organizational change management. […]
FreeFoundations of Enterprise AI Strategy
This unit establishes foundational knowledge for planning and initiating enterprise AI initiatives, covering responsible AI principles, use-case identification and prioritization, […]
FreeApplied Deep Learning Tools and Deployment
This unit focuses on applying advanced deep learning tools, hardware acceleration, and deployment techniques to real-world problems such as vision, […]
FreeDeep Learning Implementation and Deployment
This unit advances foundational deep learning concepts into practical implementation, optimization, and application development using frameworks such as TensorFlow, Chainer, […]
FreeDeep Learning Foundations and Tools
This unit develops core mathematical, architectural, and practical skills for building and experimenting with deep learning models. Students will learn […]
FreeFoundations of Deep Learning
This unit introduces core deep learning and machine learning concepts, essential mathematics, and practical tools (Python and common frameworks) for […]
FreeAdvanced ChatGPT Applications and Integration
This unit explores advanced prompt engineering, multi-agent orchestration, and domain-specific uses of ChatGPT across technical, creative, and operational contexts. Students […]
FreeAdvanced Prompting and Production
This unit develops advanced prompt-engineering skills and production workflows for using ChatGPT across creative, educational, and professional contexts. Students learn […]
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