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Search 58 learning resources organized by purpose, provider, and pathway. MAIC prioritizes credible open learning and explains account or credential terms when they are known.
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Choose the context that is closest to your own. Each pathway explains who it is for, what you should be able to do afterward, and a recommended—not required—course order.
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Showing 58 of 58 courses
IBM SkillsBuildIntroduction to Generative AI
Learn core generative AI concepts and earn an IBM digital badge.
Introduction to Generative AI
A short introductory course covering what generative AI is and how it is used.
NVIDIA LearningGenerative AI Explained
Understand generative models, their applications, challenges, and opportunities.
Course artworkElements of AI: Introduction
A celebrated, non-technical introduction to AI with a free certificate.
Career Essentials in Generative AI
Develop workplace-ready generative AI skills through a certificate pathway.

Building a Generative AI-Ready Organization
Prepare your organization to adopt and scale generative AI responsibly.

Foundations of Prompt Engineering
Practice prompt-writing techniques to get better AI outputs for business tasks.

AI in Digital Marketing
See how AI, big data, and machine learning transform marketing strategy.

Artificial Intelligence Fundamentals
Find IBM’s current AI fundamentals pathway and credential requirements in its free learning catalog.

Build Your Generative AI Productivity Skills
Use AI to analyze data, create presentations, and generate content efficiently.

A Beginner’s Guide to Autonomous Robots
Explore robotics fundamentals and how AI powers autonomous systems.

Generative AI for Educators
A two-hour course for personalizing instruction and creating classroom content.

ChatGPT Foundations for K–12 Educators
Use ChatGPT safely and effectively in classrooms through nine short modules.

AI for Educators
A four-module course aligned with ISTE and UNESCO education standards.

MagicSchool for Educators
Learn to integrate an AI-powered teaching assistant through MagicSchool’s current certification courses.

AI for Education
Use ChatGPT to save time, engage students, and implement AI responsibly.

AI Learning for Students and Educators
Explore free AI learning and educator resources designed for secondary classrooms.

AI Matters
Explore AI concepts, ethics, and applications in the nonprofit and social-good sectors.

Responsible Use of AI
Understand ethical AI use, bias reduction, and organizational risk management.

Introduction to AI for Nonprofits
Use AI tools to improve efficiency and expand organizational impact.

AI for Nonprofits
Build practical nonprofit AI skills, data governance, safeguards, and mission-aligned workflows.

Exploring AI with Microsoft Tools
Learn AI basics, responsible use, prompting, critical review, and nonprofit use cases.

AI for Nonprofits Resource & Training Hub
Use nonprofit-focused courses, guides, events, policy tools, and responsible-adoption resources.
University of HelsinkiEthics of AI
Learn to think about AI from an ethically sustainable, human-centered perspective.

Responsible AI: Applying AI Principles
Use practical scenarios to apply responsible-AI principles across the AI project lifecycle.

AI Governance and Ethics
Study governance, security, compliance, and ethical considerations in AI.

AI in Digital Health
See how AI supports telehealth, patient engagement, and care coordination.

AI in Healthcare
Examine machine learning in medicine alongside patient safety, quality, research, and ethical challenges.
Polimi Open KnowledgeIntroduction to Digital Health & Digital Practice
Understand how digital tools enhance rehabilitation and therapy delivery.

Digital Agriculture
Explore how AI, IoT, and analytics improve farming efficiency and sustainability.

Microsoft for Sustainability
Learn sustainability concepts and how AI-supported tools can improve strategy, data, and operational decisions.

Agripreneurship 101
Apply technology and entrepreneurial thinking to grow farm-based enterprises.

AI in Sustainable Agriculture
Understand AI’s opportunities, risks, and communication challenges in sustainable agriculture.

Digital4Sustainability Learning Path
Understand how digital solutions can advance environmental sustainability.

Introduction to Green Information Systems & Technologies
Learn how information systems, cloud computing, and AI can reduce—or increase—technology’s environmental impact.

AI-Powered Cybersecurity Fundamentals
Learn how AI strengthens threat detection, prevention, and response.

Introduction to Cyber Security
Build core knowledge of threats, controls, networks, and digital safety.

Threat Modeling for AI/ML Systems
Identify and mitigate distinctive security risks in AI and machine-learning systems.
Adobe LearnIntro to Generative AI
Explore generative AI for creativity and innovation through practical examples.

AI in Digital Marketing
Learn how AI and machine learning are changing creative marketing strategy.

Essential Skills in Generative AI for Creatives
Develop practical, responsible generative AI skills for creative workflows.
Machine Learning Crash Course
Build a practical foundation in models, data, neural networks, embeddings, production ML, and fairness through interactive exercises.
MAIC learning visualPractical Deep Learning for Coders
Train and deploy useful deep-learning models with a code-first course designed for people who already have some programming experience.
Hugging FaceThe LLM Course
Learn how transformer models work and use open-source tools to build, fine-tune, evaluate, and share language-model applications.
Develop Generative AI Apps in Azure
Move through model selection, deployment, evaluation, prompt flows, and application development in an intermediate learning path.
MAIC learning visualAI Agents Course
Study agent fundamentals, tool use, orchestration, observation, and evaluation—then build and publish a working agent.
MAIC learning visualOn-Device AI with LiteRT
Learn the workflow for converting, optimizing, and running vision, audio, embedding, and generative models locally across edge platforms.
MAIC learning visualQuantum Foundations for Mississippi
Begin inside the Commons with four plain-language lessons, real-world examples, knowledge checks, and a printable non-credit completion record.
Introduction to Quantum Computing
Study bits, qubits, superposition, entanglement, gates, circuits, and current hardware in a free eight-hour course that can also be downloaded for offline study.
IBMUse a Quantum Computer Today
Run a first quantum program and learn the essential ideas through a beginner-friendly, hands-on course. An IBM account may be needed for saved progress, hardware access, or the optional badge exam.
Quantum Computing Fundamentals
Follow a free, interactive learning path from qubits and quantum algorithms to introductory programming with Q# and the Quantum Development Kit.
Basics of Quantum Information
Build a deeper mathematical and conceptual foundation in quantum states, circuits, entanglement, teleportation, and Qiskit. The lessons are openly readable; earning the digital badge requires signing in and passing IBM’s course exam.

AI Quest: Build Something That Helps Mississippi
A grade-adaptive, six-mission course aligned to Mississippi’s 2026 Computer Science Standards.

Day of AI Curriculum
Free, hands-on AI lessons organized by grade band from kindergarten through high school.

AI Literacy Lessons for Grades K–12
Short lessons that help students understand generative AI, bias, privacy, and responsible use.

Experience AI
Ready-to-use units that introduce machine learning, data, and AI ethics for learners ages 8–16.

Artificial Intelligence Discoveries
A free, flexible middle-school course where beginners create with AI and examine how it affects people.

Artificial Intelligence Foundations
A free high-school pathway combining AI concepts, coding, ethics, and real-world problem solving.