RESOURCES AND TOOLS

RESCOURCES AND TOOLS

AI Learning Platforms & Courses

These platforms provide structured education and training on AI concepts, applications, and best practices.

  • Coursera (AI for Everyone by Andrew Ng) – A beginner-friendly course that explains AI’s impact on business and society.
  • DeepLearning.AI – Specialized AI and machine learning courses for all skill levels.
  • Elements of AI (University of Helsinki) – A free, interactive course designed to make AI understandable for everyone.
  • Google AI Essentials – Teaches how to use AI for productivity and decision-making in business.
  • MIT OpenCourseWare (AI & Machine Learning) – University-level AI lectures and course materials.

AI Development & Experimentation Tools

These tools allow businesses and policymakers to experiment with AI applications, develop models, and test AI solutions.

  • Google Colab – A cloud-based Jupyter Notebook for running AI/ML experiments.
  • Microsoft Azure AI – AI services and models for enterprise-level AI adoption.
  • IBM Watson AI – AI tools for business automation, NLP, and decision-making.
  • Hugging Face – Open-source AI models for NLP, image processing, and more.
  • OpenAI GPT (ChatGPT API, DALL·E, Whisper) – AI for text, image generation, and speech recognition.

AI Ethics & Policy Guidelines

These resources help policymakers understand AI governance, responsible AI, and regulatory frameworks.

  • OECD AI Principles – Guidelines for trustworthy AI governance.
  • EU AI Act – The European Union’s regulatory framework for AI.
  • US AI Bill of Rights – AI policy recommendations for ethical AI usage.
  • World Economic Forum AI Toolkit – Strategies for integrating AI into policy and governance.
  • AI Now Institute Reports – Research on AI’s social and policy impact.

AI Adoption Frameworks & Business Toolkits

These frameworks help businesses develop AI strategies, assess AI readiness, and implement AI solutions.

  • AI Maturity Model (Deloitte, McKinsey, PwC) – Frameworks to assess AI readiness.
  • Microsoft AI Business School – Guides on AI strategy and leadership for enterprises.
  • Google Cloud AI Readiness Toolkit – AI adoption tools for businesses.
  • AI for Good (UNESCO, ITU) – AI-driven solutions for social impact and public policy.
  • Responsible AI Toolkit (IBM, Google, Microsoft) – Guidelines for ethical AI adoption.

AI Tools for Business Automation & Productivity

These tools help businesses streamline operations, automate workflows, and improve decision-making.

  • Zapier AI – Automates workflows with AI integrations.
  • Notion AI – AI-powered productivity and knowledge management.
  • Grammarly AI – AI-based writing and grammar enhancement.
  • ChatGPT & Claude AI (Anthropic) – AI-driven business assistants for automation and customer service.
  • DataRobot – AI-powered predictive analytics for business intelligence.

AI for Data & Decision-Making

These tools assist in AI-powered analytics, insights, and decision-making.

  • Tableau AI – AI-driven business intelligence and data visualization.
  • Power BI (Microsoft AI Integration) – AI-powered data analytics and reporting.
  • BigQuery ML (Google Cloud AI) – AI-driven data insights for business intelligence.
  • Looker AI – AI-powered decision intelligence for enterprises.