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The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI. Through a combination of theoretical discussions and practical exercises, students will learn about the intricate process of prompt engineering, which involves crafting inputs to guide AI systems towards ethically sound outputs. They will investigate the four qualifiers that govern AI output and master the techniques of proper prompting to ensure adherence to ethical standards. Drawing from real-world examples, including case studies centered on images, participants will analyze the ethical implications of AI applications and develop a comprehensive understanding of the ethical wheel guiding prompt engineering decisions. Ultimately, students will come to appreciate prompt engineering as both a skill and an art, essential for the ethical use of AI in various domains. This course equips participants with the knowledge and tools necessary to navigate the ethical complexities of AI, empowering them to contribute positively to the development and implementation of AI technologies in society.

This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.

As generative artificial intelligence (AI) reshapes our world, the ability to analyze data is quickly becoming as fundamental as reading and writing. “AI-Powered Data Analysis: A Practical Introduction” explores how AI tools like ChatGPT are revolutionizing our approach to data, making advanced analysis accessible to everyone. Whether you're a complete novice or looking to enhance your skills, you'll learn how to navigate this new terrain. You'll learn to think critically about the context of data analysis, delve into the specifics of analyzing and visualizing data using AI, and consider broader factors that support but are not directly part of data analysis. This practical approach focuses on generative AI tools, ensuring you know how to ask the right questions to avoid common mistakes. Your final activity will allow you to set yourself up for continued learning with a prepared Python environment and data sets, which you can voluntarily showcase on GitHub—a code-sharing hub. By the end of this course, you'll be adept at using AI tools to analyze data effectively and seamlessly apply these skills to future projects.

This course helps you understand some common issues of around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (AWS) services and features that will help you apply governance controls and achieve your compliance objectives. Finally, you will be introduced to AWS services that can help you secure your AI systems.

In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following: - Defining a business use case - Selecting a foundation model (FM) - Improving the performance of an FM - Evaluating the performance of an FM - Deployment and its impact on business objectives This course is a primer to generative AI courses, which dive deeper into concepts related to customizing an FM using prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning.

In this course, you will learn about responsible artificial intelligence (AI) practices. In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI. Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI.

In this course, you will explore real-world use cases in artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.

In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI), which has captured the attention of businesses and individuals alike. You will gain a solid understanding of fundamental AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

Generative AI is a disruptive technology with enormous impact. It is forcing companies to rethink their customer strategies and redesign their products, chip makers are struggling to keep up with increased demand for processors, and in academia, educators are changing curricula and programs across all disciplines. The material presented in this course will introduce you to the world of Generative AI and uncover some of the ingredients of this groundbreaking field. Using basic terms and a few simple examples, we will explain what Generative AI is, what makes it work, and help you lay the foundation for the next step in your learning journey. Throughout the course, you will learn about big language models, neural networks, training datasets, and Prompt. You will also be introduced to some of the tools and processes used to build Generative AI applications. This course is designed for students, early career professionals, and anyone new to Machine Learning who wants to learn more about Generative AI. The material is "code-free" and lays a foundation of knowledge that can be used to study Generative AI and Machine Learning in depth.

AI is the hottest, most exciting technology to burst onto the scene in recent years. Its impact is so big, it is revolutionizing industries all over the globe. If you are an executive, you may be wondering how to harness AI's incredible power for your organization. Well, this course is going to show you how to do just that. This Short Course was created to help leaders in organizations harness the power of AI to create long-term value for their businesses. By completing this course you'll be able to develop and execute an effective AI Strategy for your organization that enables efficiency, growth, and an increased competitive advantage. More specifically, in this 1.5-hour long course, you will learn how to develop your organization's GenAI capability to enable the sustainable delivery of AI-powered solutions, analyze the potential applications of GenAI in your organization, identify opportunities for improvement and expansion, and apply a governance structure that assures the implementation of GenAI solutions that are ethical and compliant with legislation. This course is unique because it will give you all the essentials you will need to turn your organization into an AI-fueled powerhouse.

Welcome to "Generative AI for Beginners," a comprehensive course designed to introduce you to the exciting world of Generative Artificial Intelligence (AI). This course is perfect for software engineers, industry professionals, and aspiring prompt engineers who want to harness the power of Generative AI to innovate and streamline their work processes. What You'll Learn: 1. Introduction to Generative AI: - Understanding the basics of Generative AI and its significance in today's technological landscape. - Key concepts and terminology essential for grasping the fundamentals of AI. 2. Use Cases Across Industries: - Explore real-world applications of Generative AI in various industries: - Software Development: Automated code generation, bug fixing, and enhancing productivity. - Retail: Personalized shopping experiences, inventory management, and customer service automation. - Marketing: Content creation, campaign optimization, and audience segmentation. 3. Prompt Engineering: - Mastering the art of crafting effective prompts to elicit desired responses from AI models. - Techniques for refining prompts to improve AI output accuracy and relevance. 4. Tools and Platforms: - An overview of popular Generative AI tools and platforms. - Hands-on experience with leading AI models like GPT-4, 3.5 and others. 5. Future of Generative AI: - Trends and advancements shaping the future of Generative AI. - Ethical considerations and best practices for responsible AI usage. Course Highlights: - Interactive Learning Modules: Engaging video lectures, and practical exercises to solidify your understanding. - Industry Expert Insights: Hear from professionals who are pioneering the use of Generative AI in their fields. - Hands-On Projects: Apply your knowledge through real-world projects tailored to your industry. - Community Support: Join a vibrant community of learners and experts to collaborate, share ideas, and receive feedback. Who Should Enroll: - Software Engineers: Looking to integrate AI into their development workflows for enhanced efficiency and innovation. - Industry Professionals: Seeking to understand and implement AI-driven solutions in their respective fields. - Aspiring Prompt Engineers: Interested in specializing in the creation and optimization of AI prompts for various applications. By the end of this course, you will have a solid foundation in Generative AI, practical skills to apply in your work, and a vision for how AI can transform your industry. Join us on this journey to unlock the future of innovation with Generative AI! --- Enroll Now to start your journey into the fascinating world of Generative AI and become a pioneer in your industry!

Prepare thoroughly for the Oracle Cloud Infrastructure 2024 Generative AI Professional certification exam with our comprehensive practice exam course. This course is tailored for professionals and enthusiasts aiming to validate their skills in generative AI using Oracle Cloud services. Throughout the course, you'll engage with a wide range of practice questions that mirror the format and difficulty of the actual exam, helping you to identify areas for improvement and build confidence. Each question comes with detailed explanations, providing insights into the correct answers and reinforcing your understanding of key concepts. We'll also cover effective exam strategies, including time management and techniques for tackling various question types, ensuring you're well-prepared to succeed. In addition to practice questions, the course includes tips on navigating OCI tools and resources, enabling you to apply theoretical knowledge in practical settings. Whether you're an IT professional, data scientist, cloud architect, or a motivated learner, this course offers the resources and support you need to achieve certification and advance your career in the cutting-edge field of generative AI on Oracle Cloud Infrastructure. With our focused and detailed practice material, you'll enhance your readiness and confidence for the exam. Enroll now and take the next step towards your certification success!