How Is Artificial Intelligence Impacting Society and Everyday Life?
AI & SOCIETY
Explore our AI & Society resource library to understand the social, cultural, and economic impacts of artificial intelligence on people and communities. Access research studies, AI workforce re-skilling materials, and tools focused on how AI affects daily life, public trust, human rights, and societal resilience. Resources address topics such as cultivating broad access to AI, AI’s influence on education and employment, and approaches for addressing any negative impacts of artificial intelligence.
The AI Ready Workforce
Jobs For the Future
This resource offers a framework and industry-specific profiles to help workers, institutions, and ecosystems prepare for AI-driven shifts in the workforce. It emphasizes developing foundational AI literacy and uniquely human skills that AI will augment or elevate.
Maria Flynn
MLU (Machine Learning University)
Amazon Machine Learning University
Amazon's Machine Learning University offers technical courses focused on machine learning concepts, algorithms, and implementation using Amazon Web Services. The program targets developers and data scientists seeking practical skills on cloud-based AI tools, big data processing, and AI model deployment at scale with AWS services.
Brent Werness
EdX offers a variety of AI courses from foundational AI principles to specialized topics like robotics, natural language processing, and ethical AI. Courses are available from global institutions and provide self-paced learning or instructor-led experiences with certification options.
AI Courses & Programs Platform
edX
Anant Agarwal
Udemy
AI Essentials Course
This Udemy course offers a beginner-friendly overview of AI concepts, history, components, and use cases. It targets learners new to AI and covers the basics in an accessible format with practical examples and quizzes for foundational understanding.
Hugo Sarrazin
AI Learning Platform & Specializations
Coursera
Coursera hosts a broad range of AI courses and specializations from beginner to advanced levels offered by top universities and practitioners. Courses cover fundamental AI concepts, machine learning, deep learning, generative AI, ethical considerations, and real-world applications.
Andrew Ng / Daphne Koller
AI for Good Media & Initiative Platform
AI for Good Foundation
This platform fosters learning and collaboration to apply AI solutions toward social good challenges like sustainability, health, and humanitarian aid. It provides educational resources, workshops, and community engagement focused on ethical AI development for global positive impact.
James Hodson
Artificial Intelligence Nanodegree
Udacity
Udacity’s Artificial Intelligence Nanodegree program provides a structured curriculum covering AI foundations, problem-solving with AI, search algorithms, machine learning, and practical applications. It emphasizes project-based learning with real-world scenarios, mentorship, and career services.
Kai Roemmelt
EdApp
EdApp Mobile-First Training Platform
EdApp's SafetyCulture provides compliance and safety training courses that increasingly integrate AI-enabled tools to improve workplace safety and operational efficiency. Their platform offers on-demand training for various sectors emphasizing practical adoption of AI-enhanced safety technologies.
Darren Winterford
Google AI
Google’s learning platform provides free courses and materials to develop AI and machine learning skills, including fundamentals, applied AI, responsible AI, and cloud AI tools. It offers hands-on labs, tutorials, and AI literacy resources suitable for developers, students, and business professional
Jennie Magiera
OpenAI
OpenAI Training Hub / Academy
OpenAI Academy delivers training and tutorials specifically around OpenAI’s technologies such as GPT models and Codex. The academy focuses on prompt engineering, responsible AI use, and application development to help developers and practitioners build advanced AI solutions securely and effectively.
Alex Nawar
DataCamp
AI Courses & Tracks
DataCamp’s AI Native track focuses on teaching AI concepts and techniques through interactive coding exercises mainly in Python. It covers essential AI and machine learning libraries and frameworks, data manipulation, modeling, and deployment.
Jonathan Cornelissen