Verified courses from leading providers, with costs, prerequisites and certificate conditions made clear before you enroll.
Browse verified coursesUse a learning path to narrow the library, then compare the practical details course by course.
Search by provider or topic, then check the real access, account and credential conditions.
A broad beginner path covering AI foundations, responsible use and practical applications in about four and a half hours.
The lessons can be viewed without payment. A free Microsoft Learn profile is required to save progress and achievements.
Seven beginner modules covering generative AI, agents, language, speech, vision, information extraction and RAG.
The path is readable without payment. A free Microsoft Learn profile is needed to retain progress and achievements.
A no-code business path about using generative AI for content, data, meetings, collaboration and daily workflow decisions.
A free Microsoft Learn profile is needed only for saved progress and achievements.
A concise introduction to generative AI, how it differs from traditional machine learning and where it is used.
A free Google Skills account may be required to save progress and receive the course badge.
A short introductory course about prompt engineering techniques for improving Gemini responses with useful context.
A free Google Skills account may be required to save progress and earn the badge.
A practical overview of Gemini, NotebookLM, grounding, RAG, prompts and automated workflows for everyday work.
A free Google Skills account may be required for progress and the badge.
An introductory course for understanding AI-specific risk, sensitive-data protection, compliance and resilient AI infrastructure.
A free Google Skills account may be required to retain progress and receive the badge.
A beginner course on AI systems, common industry uses and the basic ideas behind generative AI.
IBM states that the introductory learning can be tried without registration. A free account is needed to retain progress.
A four-hour foundation covering how AI works, benefits, risks, ethics and practical interaction with an AI assistant.
A free IBM SkillsBuild account is required for progress tracking and the digital credential.
A longer conceptual path covering AI history, language, vision, machine learning, neural networks, ethics and career context.
A free IBM SkillsBuild account is required to complete the credential pathway.
A short foundation on responsible generative AI use, risks, ethical questions and safer decision making.
A free registered account may be required for completion tracking; guest preview availability can vary.
A practical beginner course on everyday Claude use, clearer conversations, projects, artifacts, research and connected workflows.
Free Skilljar registration is required. A Claude account is useful for practice.
A compact framework for working effectively, efficiently, ethically and safely with AI systems.
Free Skilljar course registration is required.
A business-focused application of AI fluency for choosing tasks, collaborating with a chatbot and reviewing results responsibly.
Free Skilljar registration is required.
A developer course on building MCP servers and clients with Python, tools, resources and prompts.
Free Skilljar registration is required.
A two-hour conceptual overview of generative AI applications, opportunities and limitations without a coding requirement.
A free NVIDIA account may be required to enroll.
A one-hour overview of how retrieval can ground an LLM response in relevant source material.
A free NVIDIA account may be required to enroll.
A substantial technical course covering Transformers, datasets, tokenizers, fine-tuning, demos and modern LLM techniques.
Course material is openly accessible. A free Hugging Face account is useful for Hub exercises and community features.
A practical course that moves from agent fundamentals through frameworks, use cases and a final challenge.
A free Hugging Face account is required for enrollment, exercises and certificate tracking.
A technical self-paced course on the foundations and practical use of diffusion models for image generation.
Course material is openly accessible. A free account is useful for hosted notebooks and community features.
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A respected provider can still place the assessment, lab or credential behind a separate condition. SolveNook checks the individual course, not only the brand.
More provider records are in the research queue and will appear only after verification.
The core lessons must be accessible without payment. We then check the account, assessment, credential and outside-product conditions separately.
A free preview or a short trial does not qualify as a free course.
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Learning and credentials are checked as two different benefits.
Every record carries a review date because providers can change access conditions.
Detailed reviews examining free lesson access, credential conditions, time commitments, and prerequisites.
Review Microsoft AI Fluency free access, learning time, achievement terms, and beginner fit.
See what Google Introduction to Generative AI teaches, what is free, and how the completion badge works.
Review IBM AI Literacy course content, 4-hour workload, free badge terms, and practical learning outcomes.
Review Anthropic AI Fluency free access, certificate terms, four-part framework, and workflow value.
Review NVIDIA Generative AI Explained free enrollment, 2-hour workload, and credential limits.
A quick course is useful only when its conditions fit your goal.
No. Some include a certificate or badge, some provide a platform achievement, and others provide learning only. Each card states the current condition.
Often yes. Many providers let you inspect lessons freely but require a free account to track progress or issue a credential.
Not always. Language, enrollment and product availability can vary. Check the official page from your location before committing your time.
Each record has a scheduled review date. Important access changes can trigger an earlier check or removal from the public directory.
