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Microsoft Course: Responsible use of artificial intelligence in education

Ethical AI in Education: Building Trust Through Responsibility
  • Apply ethical AI principles​​
  • Ensure fairness in algorithms, mitigate bias in educational tools
  • ​​Design secure AI systems
  • ​​Implement transparency frameworks
  • ​​Develop accountability protocols
  • ​​Navigate real-world scenarios​​ through guided projects
  • Build a base for specialized roles in AI development or cloud engineering
  • Prepare for more advanced Microsoft certifications in AI

What you will learn

"Responsible Use of Artificial Intelligence in Education" is a 2-hour 42-minute course designed for educators and trainers seeking to integrate AI ethically into learning environments. Aligned with Microsoft's Responsible AI Framework, this three-module curriculum explores principles like fairness, privacy, transparency, and accountability. Participants will learn to evaluate AI systems for bias, design inclusive solutions, and implement safeguards for data security. The course combines theoretical insights with hands-on exercises, including case studies on ethical AI deployment in college programs and organizational workflows. Ideal for those aiming to balance innovation with ethical rigor in education.

​​Microsoft's Responsible use of artificial intelligence in education course Outline

Learn the Responsible use of artificial intelligence in education

Educators, ready to navigate AI's ethical complexities? ​​"Responsible Use of Artificial Intelligence in Education"​​ equips you with Microsoft's proven framework to build fair, secure, and transparent AI systems. Master principles like inclusiveness and accountability in 2.5 hours, with hands-on projects addressing real classroom challenges. Start your ethical AI journey today and transform learning while safeguarding student trust.

Start your journey today:

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Course Structure Includes:

  • ​​Module 1​​: Microsoft's Responsible AI principles, human-AI interaction guidelines, and compliance playbooks (24 min).
  • ​​Module 2​​: Deep dives into fairness, reliability, privacy, inclusiveness, transparency, and accountability (39 min).
  • ​​Module 3​​: Guided projects evaluating case studies, designing ethical AI systems, and organizational implementation (99 min).
 

Training Options

Self Paced Learning
  • Lifelong access to high-quality content
  • Curated by industry experts
  • Customized learning progress
  • 24/7 learner assistance and support
  • Follow the latest technology trends
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  • 100% Verified Exam Questions & Answers
  • 100% Guarantee Passing Rate
  • Average 7 Days to Practice & Pass
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Description

Master Microsoft's Responsible AI framework to design ethical, inclusive, and secure AI systems for classrooms. Ideal for educators balancing innovation with accountability.

Pre-requisites

None

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Benefits of AWS Certified AI Practitioner Certification

​​Microsoft Certified: Azure AI Fundamentals (AI-900)​​ is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!

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