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Exploring Artificial Intelligence Use Cases and Applications
Exploring Artificial Intelligence Use Cases and Applications
In this course, you will explore real-world artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn.
Fundamentals of Machine Learning and Artificial Intelligence
Fundamentals of Machine Learning and Artificial Intelligence
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). You will gain a solid understanding.
Developing Generative Artificial Intelligence Solutions
Developing Generative Artificial Intelligence Solutions
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 performa.
Crafting AI Identities: Strategies & Ethical Considerations
Crafting AI Identities: Strategies & Ethical Considerations
Artificial intelligence is increasingly shaping our daily interactions, from virtual assistants to personalized recommendations. Recent chatbot statistics indicate that in 2022, 88% of individuals had at least one conversation with a chatbot, and 35% of users prefer using chatbots to res.
Essential Math for AI
Essential Math for AI
Offered by Columbia University through edX, this self-paced, asynchronous course is designed for learners seeking to build a solid foundation in essential mathematical topics such as statistics, linear algebra, multivariable calculus, and probability.
The course curriculum includes comprehensive review materials along with a s.
L'essentiel de l'apprentissage profond
L'essentiel de l'apprentissage profond
Vous comprendrez mieux ce qu’est l’apprentissage profond, les types de problèmes qu’il permet de résoudre, les concepts fondamentaux et méthodes qu’il implique. Ce cours conçu par IVADO, Mila et l’Université de Montréal vous offre divers outils d’apprentissage pour saisir l’étendue de cette tec.
AI Ethics in Business
AI Ethics in Business
This introductory-level course integrates AI technology with business applications and social ethics, offering actionable insights for real-world scenarios. Ideal for students and professionals looking to incorporate AI into their social ethics strategy, this course equips learners with the knowledge and skills needed to i.
Teach teens computing: Understanding AI for educators
Artificial intelligence (AI) is everywhere, so young people need to understand what it is and how it might affect them. But what do you need to know to help them learn what AI systems can do and make informed decisions about how they can ethically take advantage of this technology?
In this three-week course from the Raspberry Pi Foundation, yo.
Optimizing Foundation Models
In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how t.
Manage identity and access in Microsoft 365
Manage Identity and Access in Microsoft 365
Enhance your organization's security by managing identity and access in Microsoft 365. This comprehensive course covers critical cybersecurity concepts and practices, enabling you to effectively protect your enterprise environment.
Module 1: Examine threat vectors and understand how hackers exp.
Essentials of Prompt Engineering
Essentials of Prompt Engineering
In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will le.
Developing Machine Learning Solutions
Developing Machine Learning Solutions
In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machi.