Empower Your Nonprofit with AI: A Beginner’s Guide to Teaching AI Skills
That’s where AI Skills for Educators comes in—a free resource designed to help educators (including nonprofit leaders, trainers, and community advocates) introduce AI concepts to their audience. Why Should Nonprofits Teach AI? Nonprofits thrive on impact. By integrating AI education into your programs, you can: ✅ Expand career opportunities for your community members. ✅ Boost digital literacy and future-proof skills. ✅ Enhance nonprofit operations by leveraging AI for efficiency. Whether you're running workforce development programs, youth education initiatives, or volunteer training, AI skills can add immense value. What Is AI Skills for Educators? Microsoft’s AI Skills for Educators is a free training hub that provides lesson plans, resources, and interactive learning materials to help you teach AI—even if you’re not an AI expert. Key Features: 🎓 AI Basics – Understand and teach foundational AI concepts. 📖 Pre-made Lesson Plans – Save time with structured AI courses. 🖥️ Hands-on Exercises – Engage learners with real-world AI scenarios. 🎤 Presentation Materials – Ready-to-use slides and guides for training. How Can Your Nonprofit Use These Resources? Here are some ways your nonprofit can start teaching AI today: 1. AI Workshops for Your Community Use the free lesson plans to host in-person or virtual AI workshops. Whether it's a basic AI introduction for job seekers or advanced concepts for tech learners, these resources provide an easy starting point. 2. AI Training for Volunteers & Staff Empower your internal team with AI knowledge! Whether it's automating administrative tasks or enhancing outreach, an AI-skilled team can work smarter. 3. Partner with Schools & Libraries Collaborate with educators, libraries, and youth programs to introduce AI concepts to students and underrepresented communities. AI education shouldn't be limited to tech companies—your nonprofit can bridge the gap. 4. Digital Equity & Inclusion Programs If your nonprofit focuses on closing the digital divide, these resources can help you teach AI literacy in underserved communities, giving more people access to future job opportunities. Getting Started Is Easy! ✅ Step 1: Visit aka.ms/AISkillsForEducators. ✅ Step 2: Explore the lesson plans and materials. ✅ Step 3: Adapt the content to fit your nonprofit’s mission. ✅ Step 4: Start teaching AI in your community! By integrating AI education into your nonprofit, you're not just teaching technology—you’re shaping futures. 💡 Is your nonprofit ready to empower communities with AI? Visit aka.ms/AISkillsForEducators and start making an impact today!Embracing Responsible AI: A Comprehensive Guide and Call to Action
In an age where artificial intelligence (AI) is becoming increasingly integrated into our daily lives, the need for responsible AI practices has never been more critical. From healthcare to finance, AI systems influence decisions affecting millions of people. As developers, organizations, and users, we are responsible for ensuring that these technologies are designed, deployed, and evaluated ethically. This blog will delve into the principles of responsible AI, the importance of assessing generative AI applications, and provide a call to action to engage with the Microsoft Learn Module on responsible AI evaluations. What is Responsible AI? Responsible AI encompasses a set of principles and practices aimed at ensuring that AI technologies are developed and used in ways that are ethical, fair, and accountable. Here are the core principles that define responsible AI: Fairness AI systems must be designed to avoid bias and discrimination. This means ensuring that the data used to train these systems is representative and that the algorithms do not favor one group over another. Fairness is crucial in applications like hiring, lending, and law enforcement, where biased AI can lead to significant societal harm. Transparency Transparency involves making AI systems understandable to users and stakeholders. This includes providing clear explanations of how AI models make decisions and what data they use. Transparency builds trust and allows users to challenge or question AI decisions when necessary. Accountability Developers and organizations must be held accountable for the outcomes of their AI systems. This includes establishing clear lines of responsibility for AI decisions and ensuring that there are mechanisms in place to address any negative consequences that arise from AI use. Privacy AI systems often rely on vast amounts of data, raising concerns about user privacy. Responsible AI practices involve implementing robust data protection measures, ensuring compliance with regulations like GDPR, and being transparent about how user data is collected, stored, and used. The Importance of Evaluating Generative AI Applications Generative AI, which includes technologies that can create text, images, music, and more, presents unique challenges and opportunities. Evaluating these applications is essential for several reasons: Quality Assessment Evaluating the output quality of generative AI applications is crucial to ensure that they meet user expectations and ethical standards. Poor-quality outputs can lead to misinformation, misrepresentation, and a loss of trust in AI technologies. Custom Evaluators Learning to create and use custom evaluators allows developers to tailor assessments to specific applications and contexts. This flexibility is vital in ensuring that the evaluation process aligns with the intended use of the AI system. Synthetic Datasets Generative AI can be used to create synthetic datasets, which can help in training AI models while addressing privacy concerns and data scarcity. Evaluating these synthetic datasets is essential to ensure they are representative and do not introduce bias. Call to Action: Engage with the Microsoft Learn Module To deepen your understanding of responsible AI and enhance your skills in evaluating generative AI applications, I encourage you to explore the Microsoft Learn Module available at this link. What You Will Learn: Concepts and Methodologies: The module covers essential frameworks for evaluating generative AI, including best practices and methodologies that can be applied across various domains. Hands-On Exercises: Engage in practical, code-first exercises that simulate real-world scenarios. These exercises will help you apply the concepts learned tangibly, reinforcing your understanding. Prerequisites: An Azure subscription (you can create one for free). Basic familiarity with Azure and Python programming. Tools like Docker and Visual Studio Code for local development. Why This Matters By participating in this module, you are not just enhancing your skills; you are contributing to a broader movement towards responsible AI. As AI technologies continue to evolve, the demand for professionals who understand and prioritize ethical considerations will only grow. Your engagement in this learning journey can help shape the future of AI, ensuring it serves humanity positively and equitably. Conclusion As we navigate the complexities of AI technology, we must prioritize responsible AI practices. By engaging with educational resources like the Microsoft Learn Module on responsible AI evaluations, we can equip ourselves with the knowledge and skills necessary to create AI systems that are not only innovative but also ethical and responsible. Join the movement towards responsible AI today! Take the first step by exploring the Microsoft Learn Module and become an advocate for ethical AI practices in your community and beyond. Together, we can ensure that AI serves as a force for good in our society. References Evaluate generative AI applications https://learn.microsoft.com/en-us/training/paths/evaluate-generative-ai-apps/?wt.mc_id=studentamb_263805 Azure Subscription for Students https://azure.microsoft.com/en-us/free/students/?wt.mc_id=studentamb_263805 Visual Studio Code https://code.visualstudio.com/?wt.mc_id=studentamb_263805YouTubeGPT: A Deep Dive Into Building and Running It
Struggling to keep up with endless YouTube videos or looking for quick insights from trending content? YouTubeGPT is here to save the day! This cutting-edge AI tool, powered by GPT technology, lets you summarize, analyze, and engage with YouTube data like never before. Whether you're a content creator or a data enthusiast, our step-by-step guide will help you unlock its full potential. Dive into the future of video content management with YouTubeGPT!Transforming Nonprofit Operations with Microsoft AI Builder
With AI Builder, you can automate repetitive tasks, analyze data to get valuable insights, and even make predictions. The best part is that you don't need to be an expert in AI or programming to use it. AI Builder provides pre-built templates that you can customize to fit your specific needs. By utilizing AI Builder, nonprofits can enhance their efficiency, make data-driven decisions, and drive social impact with innovative AI solutions.Revolutionizing Road Safety: Power Platform AI-Powered Vehicle Identification & Verification System
Explore our groundbreaking project leveraging AI Builder and Microsoft technologies for vehicle and driver identification. Enhance road safety, prevent theft, and streamline verification processes with our innovative system. Join us in exploring the potential of AI in traffic management.How to submit your projects on GitHub
Not sure what GitHub is or how to use it? Not sure how to package up your Power Platform samples and get them ready to share? Don't worry - this session doesn't assume any pre-existing knowledge. We will walk you through all of the basics that you need to know to get started with GitHub and the Power Platform tooling needed so you can leverage it to submit your contributions. By the end of this session you will have created your contribution in GitHub and be empowered to continue your contribution journey.Wrap up and take action: Join our community for the next Big Thing!
We're at the end of the Power Platform AI Global Hack but the journey doesn't end here! Stephen Siciliano, VP of Power Automate will join us to share a few closing remarks about AI in the Power Platform and he'll be doing a live Q&A. So, make sure to come prepared with all of your questions!Leveraging Azure OpenAI Service in the Power Platform
Join Power Platform Advocate, Daniel Laskewitz and Microsoft MVP, Robin Rosengrun as they dive into the world of Azure OpenAI. This can be used in addition to the out of the box capabilities of Copilot and AI Builder to add more generative AI power to your Power Platform solutions. Robin and Daniel will break down how it works and how you can extend your solutions with it.Automate Business Email Management Using AI Builder and Power Apps: Step-by-Step Guide
Step-by-step guide on creating a Three-Screen Power App from scratch, connecting it to Outlook email service, and AI Builder Sentiment Analysis prebuilt model to detect positive, negative, or neutral sentiment in our emails and help us respond to critical emails effectively using low code tools.Get started with AI Builder in the Power Platform Sept 20th 9AM PST
Dive into the AI-powered possibilities of AI Builder with us! Power Platform Advocate, Gomolemo Mohapi will be joined by Ashish Bhati, Program Manager at Microsoft to showcase the how to add intelligence to your Power Platform solutions with AI Builder. You'll get an overview of what you can do with AI Builder and see demos of some of the functionality in action so you can get ideas for how to integrate these AI models into your solutions.
