Free AI Courses for Developers [2026]

The strongest free AI courses for developers in 2026 are Scrimba's three free AI courses, Hugging Face's Agents Course, Anthropic Academy, DeepLearning.AI's short courses, fast.ai, and Kaggle Learn. What separates them is not quality. It is what free means. Some are free to watch but charge for the credential, some are free including the certificate, and some let you audit the lectures while locking the graded work behind a paywall.

That last one catches people out. You spend six weeks on a course, reach the end, and find that the thing you wanted on your profile costs money. This article sorts fourteen free AI courses by which kind of free they are, and then by what you want AI for.

The Three Kinds of Free AI Course

Free in AI education means one of three things: free content with a paid or missing certificate, free content including a free certificate, or a free audit with graded work paywalled.

Work out which bucket a course sits in before comparing it to anything else.

1. Free to learn, no free certificate. The material costs nothing. The credential either costs money or does not exist. Hugging Face's LLM Course, fast.ai, and Microsoft's Generative AI for Beginners all sit here.
2. Free including the certificate. You finish, you get something shareable, and no payment is ever requested. Scrimba's free courses, Hugging Face's Agents Course, Kaggle Learn, and freeCodeCamp's certifications sit here.
3. Free audit, paid assignments. You can watch the lectures. Quizzes, graded projects, and the certificate require a subscription. This is the standard Coursera model, including Andrew Ng's Machine Learning Specialization.

The question is never "is this course free." It is "which part of this course is free, and is the part I need one of them."

A fourth pattern is easy to misread as free: free training paired with a paid exam. Microsoft publishes complete learning paths for Azure AI Fundamentals at no cost, but the AI-900 credential requires a paid proctored exam. AWS does the same: hundreds of free digital courses on Skill Builder, with the AI Practitioner exam sold separately. The learning is free. The letters after your name are not.

Free AI Courses for Developers Compared

Read the certificate column before the cost column. Cost tells you what you pay to start. Certificate tells you what you pay to finish.

Free AI Courses for Using AI in Your Daily Work

If your goal is shipping code faster rather than building AI systems, you want material on prompting, reviewing generated code, and driving coding agents.

Scrimba's Learn to Code with AI is free including the completion certificate and runs 4.5 hours with Guil Hernandez. It covers prompting for code generation, debugging and refining generated code with ChatGPT, building interactive components in HTML, CSS and JavaScript, DOM manipulation, and pushing projects to GitHub.

Be clear about what it is not. The course teaches web development with AI assistance, not AI engineering. It does not cover Python, RAG, agents, embeddings, or fine-tuning, and it is not a Claude Code course. If you already build web apps and want to go straight to LLM APIs, skip it.

Anthropic Academy is the strongest free option for coding-agent workflows. Its courses are self-paced, run on a free login, and award a certificate on completion. The catalog covers Claude Code, agent skills, subagents, and the Model Context Protocol, taught by the company that ships the models.

Microsoft's Generative AI for Beginners is a 21-lesson open-source repository with Python and TypeScript samples. Free, thorough, and it issues nothing at the end. Treat it as a syllabus, not a credential. For a wider view of prompting, see the roundup of prompt engineering courses.

Free AI Courses for Building AI-Powered Apps

This is the most crowded goal and the one where free courses are strongest, because the underlying skills (calling an API, retrieving context, looping a tool) are small enough to teach in an hour.

Scrimba runs two free courses here, both with completion certificates:

• Intro to Mistral AI (84 minutes, 25 lessons, Per Borgen) covers Mistral's Chat Completion API, the split between its open-source and commercial models, chunking text with LangChain, embeddings, vector databases and retrieval, function calling, semantic search, and running models locally with Ollama. Being Mistral-specific and JavaScript-based, it does not cover the OpenAI or Anthropic APIs, Python AI development, or fine-tuning.
• Build Serverless AI Agents with Langbase (49 minutes, 11 lessons, Maham Codes) builds context-engineered agents with the Langbase SDK, uploads documents into AI Memory for agentic RAG, runs retrieval, and deploys agent Pipes in Langbase Studio. It positions Langbase as an alternative to framework-based agents, so LangChain and LlamaIndex are out of scope.

The Hugging Face Agents Course is the deepest free option, and its certificate costs nothing. Hugging Face states that "the certification process is completely free" and sets no deadline. Two credentials exist: a fundamentals certificate for finishing Unit 1, and a certificate of completion that also requires a use case assignment and the final challenge. Each unit is built for roughly three to four hours a week.

DeepLearning.AI's short courses are the fastest way to sample a specific technique, with 1-to-2-hour modules on RAG, agents, evaluation, and vendor tooling. One caveat matters. The course pages state that access is free for a limited time during the platform beta, and finishing a short course earns what DeepLearning.AI calls an Accomplishment rather than an official certificate. It sits in your account and screenshots well, but it is not the same object as a certificate.

If agents are the focus, the comparison of AI agent courses covers paid options alongside these, and the RAG tutorials roundup goes deeper on retrieval.

Free AI Courses for an AI Engineering Career

AI engineering means building production systems on top of existing models, which is a different job from training them. Free material gets you a long way into it.

Start with the Hugging Face LLM Course, free and ad-free across 12 chapters covering transformers, datasets, NLP tasks, demo building, and fine-tuning. It assumes solid Python. Hugging Face says certification is not currently available for it, though a program is in progress. Take it for the skills, not the paperwork.

The cloud vendors are the other serious free path, with the credential as the paid part:

1. Google Skills. Introduction to Generative AI is a free introductory microlearning course that earns a badge and feeds into longer generative AI paths.
2. AWS. Hundreds of free digital courses on Skill Builder, with deeper hands-on tiers and the AI Practitioner exam sold separately.
3. Microsoft. Complete free learning paths for Azure AI Fundamentals, with AI-900 as a paid proctored exam.

None of these teaches the job end to end. For how the pieces sequence into a role, the AI engineer roadmap beats any single course as a starting point, and the AI engineering courses comparison covers the paid landscape.

Free Machine Learning Courses and AI Fundamentals

If you want to understand why a model behaves the way it does, you need machine learning fundamentals, and this is where the best free material has lived for a decade.

fast.ai's Practical Deep Learning for Coders is nine lessons of about 90 minutes each, taught by Jeremy Howard, free, with no certificate at all. It teaches top down: you train a working model in lesson one and meet the theory underneath it later. The prerequisite is roughly a year of coding, preferably in Python.

Kaggle Learn is the better on-ramp for people who prefer short, hands-on units. Kaggle states plainly that its courses "are provided at no cost to you, and you can now earn certificates," and each micro-course runs a few hours inside a notebook.

Two more worth knowing:

• freeCodeCamp's Machine Learning with Python is a free certification built on TensorFlow with five required projects, from a cat and dog image classifier to an SMS text classifier. The catch is printed on the page itself: freeCodeCamp marks this section as no longer being updated and points learners to its current curriculum. The credential is still free and still recognized.
• Elements of AI from the University of Helsinki and MinnaLearn is the non-technical option, and 2 ECTS credits are available free of charge through the University of Helsinki Open University. No math, no programming, which makes it useful for context and useless for building.

Scrimba does not teach machine learning fundamentals, and nothing in its AI catalog substitutes for fast.ai or Kaggle here. Its courses assume you want to use models, not train them.

Where the Free Tier Stops

Scrimba's free AI catalog is three courses. That is enough to call an LLM API, wire up retrieval, and deploy an agent, and each one ends with a completion certificate at no cost. It is not enough to cover the whole stack.

The rest of Scrimba's AI material sits behind Pro, which costs $24.50 per month on the annual plan ($294 per year), with purchasing-power, student, and promotional discounts available in many regions. Pro adds The AI Engineer Path (11.4 hours across nine modules), Learn RAG (94 minutes), Intro to Model Context Protocol (37 minutes), and Prompt Engineering for Web Developers (3.1 hours).

Exhaust the free tier first. Three free Scrimba courses, the Hugging Face Agents Course, and a handful of DeepLearning.AI short courses will tell you inside a month whether AI engineering is work you enjoy. That is a better test than any paid course, and it costs nothing but time.

Frequently Asked Questions

Are there free AI courses that include a certificate?

Yes. Scrimba's free courses include a completion certificate at no cost, Hugging Face's Agents Course states that its certification process is completely free, Kaggle Learn awards free certificates, and freeCodeCamp's certifications are free once you complete the required projects.

Do free AI courses count for anything on a resume?

Completion certificates show initiative, not verified competence, and hiring managers treat them accordingly. What moves the needle is the project you built during the course. A deployed agent or a working retrieval app in your portfolio outweighs any certificate from any provider, free or paid.

What is the difference between a free course and a free audit?

A free course gives you everything, including graded work and the credential. A free audit gives you the lectures only. On Coursera, auditing a course lets you watch the videos, while quizzes, programming assignments, and the certificate require payment or a Coursera Plus subscription.

Can I learn AI for free without knowing Python?

Yes, if your goal is building AI-powered apps rather than training models. Scrimba's free AI courses, the Langbase ecosystem, and most JavaScript agent tooling need no Python at all. Machine learning fundamentals are a different story, and courses like fast.ai and Kaggle Learn assume it.

Which free AI course should a web developer start with?

Start with an LLM API course rather than a machine learning course. Scrimba's Intro to Mistral AI takes 84 minutes and covers API calls, embeddings, retrieval, and function calling in JavaScript. From there, the Hugging Face Agents Course adds depth and a free certificate.

Key Takeaways

• Free AI courses fall into three buckets: free including the certificate, free with a paid or missing certificate, and free audit with paywalled assignments.
• Scrimba offers three free AI courses (Learn to Code with AI, Intro to Mistral AI, and Build Serverless AI Agents with Langbase), each with a free completion certificate.
• Hugging Face's Agents Course is the deepest free option with a free certificate, earned through a use case assignment and a final challenge.
• DeepLearning.AI short courses are free during the platform beta but award an Accomplishment rather than an official certificate.
• Cloud vendor training from Google, AWS, and Microsoft is free while the certification exams are paid.
• For machine learning fundamentals rather than AI application building, fast.ai and Kaggle Learn remain the strongest free material available.
• Certificates matter less than the project you build. Finish one free course with a deployed result before paying for anything.

Sources

• DeepLearning.AI. "Certificates and Course Completion." July 2026. https://info.deeplearning.ai/knowledge-base/certificates-course-completion
• DeepLearning.AI. "AI Courses." July 2026. https://www.deeplearning.ai/courses/
• Hugging Face. "Agents Course, Unit 0." July 2026. https://huggingface.co/learn/agents-course/unit0/introduction
• Hugging Face. "LLM Course, Chapter 1." July 2026. https://huggingface.co/learn/llm-course/chapter1/1
• fast.ai. "Practical Deep Learning for Coders." July 2026. https://course.fast.ai/
• Kaggle. "Kaggle Learn." July 2026. https://www.kaggle.com/learn
• freeCodeCamp. "Machine Learning with Python Certification." https://www.freecodecamp.org/learn/machine-learning-with-python/
• Microsoft. "Generative AI for Beginners." https://github.com/microsoft/generative-ai-for-beginners
• Microsoft Learn. "Azure AI Fundamentals." https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/
• Google Skills. "Introduction to Generative AI." https://www.skills.google/course_templates/536
• Amazon Web Services. "AWS Skill Builder Digital Training." https://aws.amazon.com/training/digital/
• Anthropic. "Anthropic Academy." July 2026. https://www.anthropic.com/learn
• Coursera. "Machine Learning Specialization." https://www.coursera.org/specializations/machine-learning-introduction
• Elements of AI. "How can I get ECTS credits." https://www.elementsofai.com/faq/how-can-i-get-ects-credits
• Scrimba. Course catalog. Self-reported, July 2026.