Wiley
Securing the Entire Application
This course provides a comprehensive guide to securing your entire large language model (LLM) application within the Azure ecosystem. Learn to implement robust security measures across all tiers, from edge protection to data storage. Develop the expertise to build and maintain highly resilient, trustworthy AI solutions.
Implementing Azure OpenAI Security Controls
Master the essential security controls for Azure OpenAI deployments with this targeted course. Learn to mitigate risks through practical implementation of access control, network isolation, and content filtering, aligning with robust security principles. Equip yourself to protect sensitive data and maintain compliance in your generative AI applications.
Security Controls for Azure OpenAI Service
This course provides a practical deep dive into securing Azure OpenAI Service deployments. Learn to select, evaluate, and implement robust security controls, leveraging Azure-native tools for scalable protection. Master the strategies essential for safeguarding sensitive data and maintaining compliance in AI environments.
Overview of Generative Artificial Intelligence Security
This course provides a concise overview of security considerations for generative AI in enterprise environments. Explore common use cases, understand the shared responsibility model, and examine key regulatory and control frameworks impacting AI deployment. Equip yourself with foundational knowledge to navigate the evolving landscape of AI security with confidence.
Next Steps
“Next Steps” equips professionals with a rigorous understanding of Generative AI’s evolving landscape. This course dissects key technical capabilities, diverse application domains, and critical ethical implications. Develop a robust framework for continuous learning to confidently navigate the future of artificial intelligence, ensuring your expertise remains relevant and impactful.
Generative AI on AWS Labs
Master Generative AI on AWS through a series of practical, hands-on labs. This course provides direct experience with Amazon Bedrock, Agents, RAG, and Amazon Q, enabling you to build sophisticated AI solutions. Develop essential skills for deploying advanced natural language processing applications within the AWS ecosystem.
Retrieval-Augmented Generation
Master Retrieval-Augmented Generation (RAG) with this comprehensive 8-module course. Learn to design, build, and deploy RAG solutions, including custom data pipelines and AWS integration. Explore real-world applications and future challenges in leveraging large language models effectively for accurate, context-aware outputs.
Customization of Your Foundation Model
Master the art of tailoring large language models to your specific needs. This course provides practical skills and robust methodologies for customizing foundation models, with a hands-on focus on AWS. Develop highly specialized AI solutions that deliver precise and relevant results for any domain.
Generative AI on AWS
Master the core principles and practical applications of Generative AI on AWS. This course offers a deep dive into Amazon Bedrock, covering essential services like Knowledge Bases, Agents, and Guardrails. Develop the skills to build, customize, and secure your own generative AI solutions using AWS.
Introduction to Amazon SageMaker
Master Amazon SageMaker for end-to-end machine learning workflows, from data preparation to model deployment. This course provides a rigorous introduction to MLOps, no-code ML, and advanced generative AI applications using SageMaker JumpStart and Amazon Bedrock. Gain practical skills to develop and manage scalable, production-ready ML solutions.
Introduction to Foundation Models
Master the fundamentals of foundation models—the AI systems powering today’s most advanced language models and applications. Learn their architecture, types, capabilities, and real-world use cases in this comprehensive professional course.
Introduction to Generative AI
This course provides a rigorous introduction to Generative AI, covering core technologies, Transformer architecture, and essential terminology. Learn practical prompt engineering techniques and explore the strategic business value of AI. Develop a foundational understanding to leverage generative AI within your enterprise effectively.
Deep Learning
Master the foundational principles and practical applications of Deep Learning. This comprehensive course demystifies neural networks, explores cutting-edge architectures, and provides hands-on experience deploying models on AWS. Gain the expertise to design, implement, and evaluate advanced AI solutions.
Machine Learning
This course provides a foundational understanding of Machine Learning principles and practical applications. You will explore core concepts, delve into common algorithms, and learn real-world implementation strategies. Develop the essential knowledge and critical perspective needed to navigate and contribute effectively to the rapidly evolving field of artificial intelligence.
A Brief History of AI
“A Brief History of AI” traces the foundational concepts and pivotal developments that shaped artificial intelligence from its earliest mechanical precursors to the cutting-edge deep learning models of today. This course provides a concise, rigorous overview of AI’s evolution, offering essential context for understanding current trends and future directions. Explore the key eras and paradigm shifts that define this transformative field.
The Part of Tens
Master the art of generative AI with “The Part of Tens,” a focused program designed to supercharge your creative and technical skills. Discover ten proven strategies for enhancing your creative output and gain ten expert tips for crafting advanced, effective prompts. This course equips you with the precise knowledge needed to elevate your AI interactions and drive tangible results.
Navigating the Intersection of Ethics, Quality, and Humanity
This course provides a critical examination of ethical considerations in Generative AI. Learn to implement responsible AI standards, ensure data privacy, and understand the profound human impact of these powerful technologies. Develop strategies to integrate GenAI responsibly, fostering innovation while prioritizing human values and quality outcomes.
Exploring Advanced GenAI Models and Techniques
This course delves into advanced Generative AI models and techniques, equipping you with the knowledge to optimize content creation and integrate specialized tools. Master strategies for enhancing creativity and productivity, transforming your approach to GenAI applications. Elevate your skills to leverage the full potential of artificial intelligence in professional contexts.
Mastering Creative Content with Generative AI
Master the art of creative content generation using advanced AI. This course equips you with the strategic prompts and techniques to produce high-quality, customized long-form, short-form, and multimedia content. Learn to manipulate AI models, refine outputs, and optimize your workflow for unparalleled efficiency and impact.
Diving into Generative AI Fundamentals
Master the core concepts and practical applications of Generative AI in this comprehensive course. Learn to engineer effective prompts, collaborate creatively with AI, and navigate the ethical landscape of this rapidly evolving technology. Develop essential skills to leverage GenAI for innovation and problem-solving across various domains.