*Cloud COMPUTING, ANALYTICS, Artificial intellligence*

Welcome to Module 8 of the Generative AI series – Future Trends and Career Pathways! In this final module, we look ahead at the transformative trends in generative AI and what they mean for professionals and learners. 

Welcome to Module 7 of the Generative AI series – Ethics, Safety, and Responsible AI! In this video, we address the increasingly important topic of ethical AI 

Welcome to Module 6 of the Generative AI series – Building AI-Powered Applications! In this video, we explore how to design and develop intelligent applications powered by generative AI. 

In this video, we dive into how generative AI tools like GitHub Copilot, ChatGPT Code Interpreter, and AutoML platforms are streamlining coding and accelerating data analysis. 

In this video, we take a deep dive into how AI models like DALL·E, Midjourney, and Stable Diffusion are capable of generating breathtaking images from text prompts. Learn about diffusion models, text-to-image pipelines, and how AI is revolutionizing visual content creation. 

In this video, we dive into how large language models like GPT, BERT, LLaMA, Claude, and Gemini generate human-like text using transformers, attention mechanisms, and prompt engineering. From chatbots to summarization and Q&A systems, discover how these models are transforming how we communicate and create. 

In this video, we break down the core foundations of AI—what it is, how it evolved, and how Machine Learning, Deep Learning, and key learning types power today’s intelligent systems. A perfect starting point for anyone looking to grasp the building blocks of modern AI. 

In this introductory video, we explore the fundamentals of Generative AI, its real-world applications, and how it is revolutionizing industries—from content creation to software development. Whether you're a tech enthusiast, student, or working professional, this is your gateway to understanding one of the most transformative technologies of our time. .

Data engineering in Microsoft Fabric enables users to design, build, and maintain infrastructures and systems that enable their organizations to collect, store, process, and analyze large volumes of data. 

 Navigating the Assess phase of cloud Migration: A comprehensive Guide. Utilising Tools for Cloud Assessment. Visualising Your Current Infrastructure. Conducting Cost Analysis and Risk Assessment. Establishing a Road map for Migration. 

 Unveiling the Medallion Architecture in Microsoft Fabric - Part 1 The medallion architecture is a recommended data design pattern used to organize data in a Lakehouse logically. It aims to improve data quality as it moves through different layers. The architecture typically has three layers – bronze (raw), silver (validated), and gold (enriched), each representing higher data quality levels. 

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