Artificial Intelligence

Maaike GroenewegeMaven

This course provides a comprehensive introduction to designing Generative AI applications with a focus on user-centered design. You'll learn about the three core components of a well-designed GenAI application: prompts, workflows, and retrieval augmented generation. The course includes theory, hands-on projects, and the use of various GenAI tools. You'll also have the opportunity to connect with other professionals in the field and learn together in small, interactive groups.

edX LearningedX

Enroll in our Intro to AI Applications and Prompt Engineering course to see how you can make AI work for you. By the end of the course, you will be able to articulate key benefits and limitations of generative AI, understand how to use AI applications and prompt engineering to drive results, and create an AI-powered API application.

Nikita NamjoshiDeepLearning.AI

In this course, you will explore the properties of word and sentence embeddings and learn how to use them to measure semantic similarity between texts. You will apply text embeddings for tasks such as classification, clustering, and outlier detection. Additionally, you will learn to modify the text generation behavior of an LLM by adjusting parameters like temperature, top-k, and top-p. The course also covers the application of the open-source ScaNN library for efficient semantic search and building a Q&A system by combining semantic search with an LLM.

Emmanuel AcheampongMaven

In this bootcamp, you will go beyond fundamental AI knowledge and apply hands-on technical skills to real-world data problems. You will develop three distinct applications that showcase your diverse skillset in Data Analytics, Computer Vision, and Natural Language Processing. The course includes interactive live sessions, lifetime access to course materials, guided feedback, and a private community of peers.

Rav AhujaCoursera

In this course, you will explore the key concepts and applications of AI, including deep learning, machine learning, and neural networks. You'll examine generative AI models, such as large language models, and their capabilities. The course also covers AI's impact on industries like natural language processing, computer vision, and robotics, highlighting how these advancements drive innovation. Additionally, you'll delve into the ethical considerations and governance of AI, preparing you to navigate the evolving AI landscape.

Amir FeizpourMaven

This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.

James GrayMaven

In this comprehensive course, you'll master AI assistants, build AI workflows, and create multi-agent systems to automate tasks and achieve outcomes. Gain hands-on experience with cutting-edge AI tools and learn to integrate AI into your work and business, enhancing your productivity and impact.

Fábio DuarteGetSmarter

In this course, you will gain a broad perspective on the future of real estate, including disruptions to commercial and residential properties, parking lots, curbsides, warehousing, and last mile delivery. You will understand how AI and self-driving vehicles are transforming the real estate industry and learn to leverage trends in micro-mobility, on-demand mobility, and self-driving vehicles for real estate investment opportunities. The course includes exposure to real city case studies and industry-relevant tools, equipping you with practical skills to navigate the evolving mobility landscape.