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- 🔨 BUILD with ease: Learn Microsoft 365 services, cloud computing basics, and the rich ecosystem of citizen development.
- 🚀 BOOST your efficiency: Dive into design thinking with tools like Microsoft Loop, Whiteboard, Forms, and Sway.
- 🤝 COLLABORATE smarter: Get to grips with Microsoft Lists, SharePoint Online, and OneDrive for seamless teamwork.
- 👩💻 CODE without coding: Create real-time apps with Power Fx spreadsheets and low-code magic.
- 🌟 INNOVATE constantly: Explore adaptive cards, Power Automate, and Bot Framework to design, connect, and engage.
- 🧠 GROW in your role: Empower your work with Power Apps, Dataverse, AI Builder, and more for solutions that drive business growth.
- Are you ready to elevate your career and transform the way you work? "A Guide to Citizen Development in Microsoft 365 with Power Platform" is your roadmap to mastering the art of no-code solutions! Don't just buy or borrow this book—immerse yourself in it, apply its teachings, and become a pivotal part of your organization's innovation journey.
- Introductory chapter 01 : Unleashing the Potential of Citizen Development in Microsoft 365
- Chapter 02 - Unveiling the Power of Cloud Computing 101 and Citizen Development
- Chapter 03 - Unlocking Productivity: Your Guide to Microsoft 365 Services
- Chapter 04 - Elevate Efficiency: Microsoft 365 Apps at Your Fingertips
- Chapter 05 - Collaborate and Thrive: Harnessing SharePoint Online and OneDrive for Success
- Chapter 06 - Power Up Your Creativity: Embark on Your Journey with Microsoft Power Fx
- Chapter 07 - Design, Connect, and Engage: Embark on Your Journey with Adaptive Cards
- Chapter 08 - Empower Your Apps: Power Apps and Dataverse
- Chapter 09 - Unlocking Confidence: Navigating Security, Compliance, and Licensing in Microsoft 365
- Chapter 10 - Building Intelligence: AI Builder on the Power Platform
- Concluding chapter 11 - Unleash Creativity: Exploring Generative AI, LLM-based Apps, and Beyond
- Did you make up your mind to buy or borrow this book?
- 🛒 Buy your copy today and start transforming your ideas into reality with Microsoft 365!
- 📖 Borrow the book, learn at your pace, and become an innovation catalyst!
🔗 Click here to buy or borrow on Amazon Kindle
📘 Ready to empower your career? Get your guide now! ➡️
📥 Download the Infographic PDF 💾
- Gemini API: Quickstart with Python
- Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents
- Build with Gemini
- Develop Generative AI solutions with Azure OpenAI Service
- ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
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- How AI helped build a 100-million-user app behemoth
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- Announcing the Preview of OpenAI Whisper in Azure OpenAI service and Azure AI Speech
- The AI Study Guide @ Azure AI Tech Community
- How to Evaluate LLMs: A Complete Metric Framework - Microsoft Research
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- 10 ways generative AI and Azure OpenAI Service are transforming businesses
- Exploring Generative AI @ martinfowler
- Mastering LLMs: The Art of Grounding for Contextual Relevance
- Azure AI Services Exercises @ Microsoft Learn
- Build AI apps with Azure Cosmos DB for MongoDB vCore vector search
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- Demystifying Retrieval Augmented Generation with .NET
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- How we interact with information: The new era of search
- Kernel Memory (KM) in C#, Python, and Java
- Step-by-Step: Creating Customized Applications with Power Virtual Agent to Empower Your Busines
- How generative AI is transforming the customer service experience
- Introducing new Microsoft Copilot capabilities to optimize Dynamics 365 Field Service operations
- 12 days of no-cost training to learn generative AI this December
- A Pythonista’s Intro to Semantic Kernel
- Drive digital transformation with low-code platforms
- The Microsoft Graph Python SDK introduced
- Segment Anything: Promptable Segmentation of Arbitrary Objects
- A collection of design pattern samples for building applications and services with Azure Cosmos DB for NoSQL.
- Evaluate your plugins and planners with Prompt flow
- Empowering Frontline Workers with Next-Generation AI in Microsoft Teams
- Generative AI on Google Cloud: New training content, from introductory to advanced
- Vint Cerf on 50 years of the Internet: 'We still have a lot of work to do.'
- Public preview for Microsoft Adaptive Card Previewer announced
- Fine-Tuning OpenAI Models for Retrieval Augmented Generation (RAG) with Qdrant and Few-Shot Learning
- Eliminate digital drag: Move your organization into the modern work and generative AI fast lane
- Microsoft Fabric @ Learn
- Modeling quantum architecture with Azure Quantum Resource Estimator
- SQuAD2.0 The Stanford Question Answering Dataset by Pranav Rajpurkar
- Chat Copilot Performance improvements for chat and messaging loading
- The AI Alliance - News, A community of technology creators, developers and adopters collaborating to advance safe, responsible AI rooted in open innovation.
- AWS Modernization Tools Now Support .NET 8
- How to build an enterprise LLM application: Lessons from GitHub Copilot
- Introducing a new Azure AI Language video series showcasing features powered by Azure OpenAI & more
- AutoGen: Enabling next-generation large language model applications
- Revolutionizing Requirement Gathering: Azure DevOps Meets Azure OpenAI using Semantic kernel
- .NET MAUI Workshop in a Box
- Awesome Python - a platform for hand-picked Python libraries on Data and Machine learning by Dylan Hogg
- A simple but effective data grid for Blazor
- .NET MAUI on Linux with Visual Studio Code
- The year in Google Cloud: Top news of 2023
- Building AI products with a holistic mental model
- Introduction to Programming with Python, David J. Malan, Harvard University
- Introducing Vision Models in Azure Machine Learning Model Catalog
- Jan AI, Runs LLM offline and 100% open source, on Windows, Mac and Linux
- What’s New in Microsoft Teams for Education | November 2023
- Microsoft Docs - Clean Architecture in Modern Web Applications
- AutoGen: Getting Started for Multi-Agent Conversation, and Enhanced LLM Inference & Optimization
- Azure OpenAI Starter Kit for .NET Developers
- Awesome Python Data Science by Krzysztof Joachimiak
- The Low-Code Market Could Approach $50 Billion By 2028
- LowCode 2024-5th International Workshop on Modeling in Low-Code Development Platforms
- Copilot Developer Camp
- Mother of All Workshops
- Don't Let Technical Debt Overrun Your Company
- Google Research Blog
- THE FRUGAL ARCHITECT
- Microsoft Research - Orca small LMs
- Intelligent App Workshop for Microsoft Copilot Stack
- OpenAPI based HTTP Client code generator
- GPT-2 Output Detector
- ChatGPT, Generative AI and GPT-3 Apps and use cases.
- Microsoft Learn AI Fundamentals
- Meta AI Research
- Artificial Intelligence for Beginners
- Cloud Adoption Framework
- Graphitation - GraphQL tooling & runtime support needed for MS Teams and beyond
- DeepSpeed is to enable deep learning scientists to train models
- Extended Reality (XR)
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- ML commons
- Search the web for up-to-date OpenAI chat responses
- LinkedIn - Future of Skills
- Build and Modernize AI Applications Hackathon
- Navigating Semantic Kernel: A Path to Agnostic AI Services
- Langchain + Docker + Neo4j
- How to build GenAI powered Smart Knowledge Search platform for enterprises
- Microsoft Copilot Studio
- NVIDIA - Retrieval Augmented Generation- Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- Introducing Semantic Kernel: Building AI-Based Apps
- Getting started with Semantic Kernel
- How to transform work with plugins for Microsoft 365 Copilot and AI apps
- Program your micro:bit V2 with MicroCode!
- Wolverine - Next Generation .NET Mediator and Message Bus
- OpenAI ChatGPT & GPT-3 API pricing calculator
- Generative AI for Beginners
- Marten - .NET Transactional Document DB and Event Store on PostgreSQL
- OpenAI Pricing & Tokens Calculator
- Semantic Kernel
- Introduction to Building AI Apps
- CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference.
- A curated list of articles and tutorials to start with and understand generative AI by Youssef Hosni
- New Microsoft Copilot Studio implementation guide
- Cloud Native on Azure
- Physics of AGI: Understanding and improving emergent intelligence in large language models
- OpenAI’s technology explained
- Microsoft Cloud Adoption Framework for Azure
- GPTZero
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- Forrester study finds 346% ROI when modernizing service operations with Dynamics 365 Field Service
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- AI Fundamentals @ Microsoft Learn
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- Understanding Deep Learning
- Microsoft 365 Developer Program: September 2023 updates
- Mastering GitHub Copilot for AI Paired Programming
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- All things distributed
- Rapidly build an application in Gradio power by a Generative AI Agent
- AI DETECTOR - content at scale
- What’s new in Data & AI: Expanding choices for generative AI app builders
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- Google DeepMind
- 10 AI terms everyone should know By Susanna Ray
- QcoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium.
- Azure AI services Blog
- Azure Open AI (demos, documentation, accelerators).