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artificial intelligence

Introduction to Generative AI Learning Path – Free Google Course

This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.5 classes Introduction to Generative AI book Courseshow_chartIntroductory This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. […]

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Microsoft - free course - Adopting Copilot for Microsoft 365

Microsoft – free course – Adopting Copilot for Microsoft 365

Adopting Copilot for Microsoft 365 Get all the details on Copilot for Microsoft 365, its functionality, and the Microsoft goal of implementing AI responsibly and ethically. Learn the purpose and functionalities of Copilot for Microsoft 365, the working principles behind it, and its core components. Get started with Copilot for Microsoft 365 Delve into how

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Microsoft - free course - Master the basics of Azure: AI Fundamentals

Microsoft – free course – Master the basics of Azure/ AI Fundamentals

Master the basics of Azure: AI Fundamentals Learn about many areas of AI, including machine learning, computer vision, natural language processing, and conversational AI. This content helps prepare for Exam AI-900, required to earn the Azure AI Fundamentals certification. Content updated: November 2023. Complete these learning paths to gain the knowledge and skills measured by

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Microsoft - Free course - Using AI in your everyday work: GitHub Copilot

Microsoft – Free course – Using AI in your everyday work: GitHub Copilot

Using AI in your everyday work: GitHub Copilot Find out how to use AI every day to streamline your work with GitHub Copilot. Watch videos and work through a learning path, as you get an introduction, explore the fundamentals, and learn about GitHub Copilot and GitHub Copilot for Visual Studio. This content is recommend for

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Microsoft - free course - Create custom Machine Learning models

Microsoft – free course – Create custom Machine Learning models

Discover tools for building and running your own models from your own data, while developing your machine learning skills through the resources in this Microsoft Learn official collection. Explore Azure Machine Learning Work with Azure Machine Learning to create machine learning models. Explore the workspace, work with data, and automate machine learning model selection. Find

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Micorosft - Build apps with Azure AI services

Microsoft – free course – Build apps with Azure AI services and Power Virtual Agents

Discover a range of tools to help you build AI-powered apps with Azure AI Services, develop generative AI solutions with Azure OpenAI Services, and explore chatbots and AI models with Microsoft Copilot Studio through this Microsoft Learn Official Collection. Start your AI learning journey with Azure AI Services Find resources on Azure OpenAI and learn

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FREE COURSE – IBM AI Engineering Professional Certificate

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to

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Machine Learning with Python- k-Means Clustering Getting started with Python and k-means clustering

Machine Learning with Python: k-Means Clustering

Clustering—an unsupervised machine learning approach used to group data based on similarity—is used for work in network analysis, market segmentation, search results grouping, medical imaging, and anomaly detection. K-means clustering is one of the most popular and easy to use clustering algorithms. In this course, Fred Nwanganga gives you an introductory look at k-means clustering—how it works, what it’s good for, when you should use it, how to choose the right number of clusters, its strengths and weaknesses, and more. Fred provides hands-on guidance on how to collect, explore, and transform data in preparation for segmenting data using k-means clustering, and gives a step-by-step guide on how to build such a model in Python.

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Machine Learning with Python- Foundations

Machine Learning with Python: Foundations

You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start? In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python. Frederick starts with exactly what it means for machines to learn and the different ways they learn, then gets into how to collect, understand, and prepare data for machine learning. He also provides guided examples of how to accomplish each step using Python. Finally, he brings it all together to build, evaluate, and interpret the results of a machine learning model in Python.

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