We'll be diving into the AI Ops job role, the framework for AI Ops projects, no-code tools, evaluation techniques, safety considerations, and monitoring strategies.

This course provides a comprehensive introduction to AI Ops, also known as AI Operations. You will learn how to leverage artificial intelligence to automate and enhance business operations. From understanding the key concepts and benefits to hiring the right talent and implementing AI systems, this course covers everything you need to know to succeed in AI Ops.

This course provides a comprehensive guide to mastering AI Operations, covering the foundational understanding of AI, hands-on experience with AI models, building chatbots and automations, custom AI models, AI intuition, identifying good problems, setting success metrics, training and change management, and the difference between AI Ops and RPA.

This course provides a practical framework for building generative AI features. You will learn how to identify problems that can be solved using AI, break down problems into manageable components, involve humans in the AI solution, measure success, and stay focused on simplicity. Additionally, the course covers the concept of AI evaluations and prompt drift, including how to plan for and mitigate the risks associated with prompt drift.

This course will guide you through the process of creating prompt libraries to effectively delegate work to AI models. Learn how to organize prompts using a Goal > Task > Prompts framework, optimize prompt versions, and improve prompts over time. Discover advanced options such as assigning prompt creators and creating a leaderboard. Gain insights on naming prompts, goals, and tasks for clarity and specificity. Explore the benefits of storing reusable prompt context for efficient use. Join this course to build a culture of collaboration and maximize the potential of AI in your work.

This course provides a comprehensive introduction to the world of no-code tools and their integration with artificial intelligence (AI). You will learn how these tools have revolutionized the development process by eliminating the need for extensive coding knowledge. Through hands-on exercises and practical examples, you will discover the potential of no-code tools in prototyping and iterating AI-driven product ideas. Furthermore, you will explore the benefits of using AI in no-code platforms and its impact on automation, data analysis, and decision-making. By the end of this course, you will be equipped with the skills and knowledge to leverage the power of no-code tools and AI for innovation and problem-solving.

This course will guide you through the process of building safe AI applications. You will learn about the potential risks and harms associated with AI, and how to mitigate them. We will explore tools and techniques for maintaining a safe and welcoming environment for users. Additionally, you will learn about protecting user privacy and data, guarding against prompt injection and jailbreaking, and utilizing the OpenAI moderation policies. By the end of this course, you will be equipped with the knowledge and skills to confidently build safe AI applications.