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blogStart potential analysis

Free AI Courses in 2026: The Best Options from Google, Microsoft, Amazon, and Others

Close the knowledge gap and leverage the latest AI features for automated workflows and intelligent analytics.

Claude and Smartsheet: AI integration for project management
AI TRAINING

Nico Röpnack · April 2026 · 12-minute read

Free AI Courses in 2026: The Best Options from Google, Microsoft, Amazon, and Others

Since February 2025, AI training has been mandated by law in the EU. Article 4 of the EU AI Act requires companies to equip their employees with sufficient AI knowledge. The good news is that getting started doesn’t have to cost anything.

Google, Microsoft, Amazon, Cisco, and IBM offer their AI learning paths for free. In addition, there is AI-Campus, a German platform funded by the Federal Ministry of Education and Research that is used by over 130,000 learners. University-level courses are available on Coursera in free audit mode and at the Hasso Plattner Institute via OpenHPI.

This guide compares the eight most important offerings based on language, duration, certification, and target audience. It also honestly highlights where free courses fall short: when it comes to implementing what you’ve learned in your own company.

TL;DR

All providers at a glance

The following table provides a quick overview. You can find details about each provider in the sections below.

Provider platform Language Duration Certificate Target group expenses
Google Cloud Skills Boost EN/DE 1 to 40 hours YES All Free of charge
Microsoft Microsoft Learn EN/DE 100+ hours YES All Free of charge
Amazon AWS AWS Skill Builder EN 1 to 20 hours YES Tech-savvy Free of charge
Cisco Networking Academy EN/DE 6 to 30 hours Badge All Free of charge
IBM Cognitive Class EN 5 to 20 hours Badge Tech-savvy Free of charge
AI Campus ki-campus.org EN 2 to 40 hours YES All Free (BMBF)
Coursera coursera.org EN/DE variable Free audit All Free audit
OpenHPI open.hpi.de EN 4 to 6 weeks YES All Free of charge

Vendor 01

Google AI Courses:
Practical, well-structured, and immediately applicable

Google offers free AI training through two platforms. Both are up to date as of 2026 and require no prior knowledge.

Google Cloud Skills Boost

The platform offers over 700 labs and courses, many of which are free. The introductory course “Introduction to Generative AI” lasts one hour, is available in English and German, and concludes with a free certificate. For beginners without a technical background, this is likely the fastest way to gain documented foundational knowledge of AI. Advanced learners will find learning paths on prompt engineering, MLOps, and Google’s Vertex AI platform, which span up to 40 hours.

Google AI Essentials (Coursera)

Through Coursera, Google offers the course “AI Essentials,” which is available for free in audit mode. The course is designed for non-technical professionals who want to use AI in their daily work. Topics include: the fundamentals of generative AI, practical applications of Gemini, and critical thinking when working with AI outputs.

Strengths: Both courses are practical, directly integrated with Google Workspace, and well-structured for self-paced learning. Anyone who works with Gmail, Google Docs, or Google Sheets on a daily basis will benefit directly.

cloud.google.com/learn/training/machine-learning-ai →

Vendor 02

Microsoft AI Courses:
100+ hours, focused on Copilot, deeply integrated with Microsoft 365

Microsoft Learn is the most comprehensive free AI learning platform on the market. Over 100 hours of content are available for free, ranging from AI fundamentals to Azure OpenAI Service integration.

Microsoft Learn

The learning paths range from “AI for Everyone” (no prior technical knowledge required) to developer tracks for Azure AI services. Of particular relevance to companies in the DACH region: the learning path for Microsoft Copilot, which demonstrates how AI assistance works directly within Word, Excel, Teams, and Outlook. All course content is also available in German.

AI-900 Certification

The official preparation path for the Microsoft Azure AI Fundamentals certification (AI-900) is available completely free of charge on Microsoft Learn. While there is a fee for the exam itself (approx. 165 EUR), the training is free and provides a solid foundation in AI, machine learning, and responsible AI use—three core competencies outlined in the EU AI Act.

Strengths: Microsoft Learn is ideal for companies that already use Microsoft 365. Its direct integration with Copilot and Azure makes the content immediately applicable. LinkedIn Learning offers complementary courses that are also available for free through certain enterprise licenses.

learn.microsoft.com →

Vendor 03

Amazon AWS Skill Builder:
600+ free courses, technically in-depth

AWS Skill Builder is Amazon Web Services' learning platform, offering over 600 free courses, including a specially developed AI fundamentals package. The platform is in English, and the content is consistently well-maintained.

The introductory course “Introduction to Generative AI: Art of the Possible” lasts one hour and concludes with a digital certificate. In addition, there are learning paths on Amazon Bedrock, prompt engineering, and AI security. For tech-focused teams at companies that use AWS, Skill Builder is the logical choice.

Strengths: Technically sound, cloud-focused, and highly practical for IT departments. Limitation: Available only in English; does not address the realities of German businesses or specific industries such as automotive or manufacturing.

skillbuilder.aws →

Vendor 04

Cisco Networking Academy:
AI meets networking expertise, globally recognized

Cisco has set a goal of training one million people worldwide in AI. The result: an extensive course library on the Networking Academy platform that combines the fundamentals of AI with networking and cybersecurity topics.

The “Introduction to AI” course lasts six hours, is available in German, and concludes with a Cisco badge that can be shared on LinkedIn. Advanced courses on “AI Foundations” last up to 30 hours and cover machine learning, natural language processing, and AI ethics. Particularly valuable: The focus on network security makes the offering relevant for IT teams in the industry, such as at companies like FEW Automotive, where production networks and AI systems must be closely integrated.

Strengths: Internationally recognized badges, available in German, a strong combination of AI and cybersecurity.

netacad.com →

Vendor 05

IBM Cognitive Class:
Data Science and AI Go Hand in Hand

IBM Cognitive Class is a free learning platform offering over 600 courses on AI, data science, and cloud technologies. All courses conclude with a digital badge that can be added to your LinkedIn profile and digital portfolio.

Particularly noteworthy: the “Data Science Professional Certificate” and “AI Engineering” learning paths. For those looking to get started with data analysis using Python, this is one of the best free options available. All content is in English. The platform is ideal for tech-savvy employees in procurement, operations, or controlling who want to understand AI-driven data analysis without being computer scientists.

cognitiveclass.ai →

Vendor 06

AI Campus (Germany):
The only major German-language AI learning platform

The AI Campus is the top recommendation for companies in Germany, Austria, and Switzerland looking to provide further training for their teams in German. Funded by the Federal Ministry of Education and Research, it boasts over 130,000 registered learners and more than 100 courses available entirely in German.

What sets it apart: The AI Campus offers industry-specific AI training. There are dedicated learning paths for medicine and nursing, administration, education, and engineering. In other words, the focus is not on abstract AI concepts, but on AI in specific professional contexts. Courses range from two to forty hours in length, and all conclude with a free certificate.

Academically rigorous yet written in accessible language: The AI Campus collaborates with German universities and research institutions. If you’re looking for a verifiable, certified foundational AI education in German, this is the best option available.

Strengths: The only major German platform, academically grounded, industry-specific learning paths, completely free thanks to BMBF funding, certificates at no additional cost.

ki-campus.org →

Vendors 07 and 08

Coursera and OpenHPI:
University-level courses available for free

Coursera offers free access to courses from Stanford, Google, IBM, and others through its audit mode. In audit mode, all video lectures and course materials are available for free; only graded assignments and the official certificate require payment. Recommended for AI fundamentals: “Machine Learning Specialization” (Stanford/Andrew Ng), “AI For Everyone” (deeplearning.ai), and “Applied AI with DeepLearning” (IBM).

OpenHPI, the platform of the Hasso Plattner Institute in Potsdam, offers university-level MOOCs in German. Courses last four to six weeks, conclude with a certificate, and are completely free of charge. Current AI courses cover machine learning, deep learning, and the societal implications of AI. OpenHPI is particularly well-suited for executives seeking a solid understanding without delving into technical details.

Legal Context

EU AI Act, Article 4:
Why AI training is now mandatory

Article 4 of the EU AI Act has been in force since February 2025. It requires all providers and operators of AI systems to ensure that their employees have sufficient AI literacy. This applies not only to AI developers, but to everyone who uses AI systems within the company.

Competence 01

Basic Technical Knowledge

How do AI systems work? What are large language models, and what is machine learning? Free courses cover this topic thoroughly.

Competence 02

Regulatory knowledge

Risk categories under the AI Act, GDPR compliance, transparency requirements, liability issues. Free courses touch on the topic but rarely go into depth.

Competence 03

Practical know-how

Using AI safely and effectively in your own processes. This is where free courses often fall short because they lack a practical, business-oriented focus.

To document compliance with the AI training requirement, we recommend: collecting certificates from the courses listed above, filing them in personnel records, and supplementing them with company-specific training documentation. Free courses effectively cover Competency 1. Competency 3—the practical application in one’s own context—typically requires hands-on guidance.

Honest assessment

When are free courses no longer enough?

Free courses are ideal for learning the basics. To implement these concepts in your own company, you need hands-on guidance.

A structured intermediate step: The German-language online course “Claude Basics” (249 EUR, with certificate) guides participants through practical Claude applications using real-world work tasks in 32 micro-lessons, including an overview of the GDPR and AVV.

Free courses are a great way to get started. They explain concepts, demonstrate possibilities, and provide an initial certificate. But having supported more than 30 corporate transformations, we have identified four recurring gaps:

Gap 1

No connection to your processes

Whether it’s procurement, sales, or project management: Generic AI courses showcase examples from Silicon Valley, not from Germany’s mid-sized manufacturing sector. What’s missing is an answer to the question: “How exactly do we apply this to our material planning?”

Gap 2

No hands-on implementation with your tech stack

If you use Smartsheet, SAP, or your own ERP system, you need AI expertise tailored to those specific systems. Free courses cover generic tools, not the path from your current situation to a successful AI integration.

Gap 3

No change management, no team adoption

AI tools rarely fail because of the technology itself. They fail because teams don’t adopt them. How do you introduce an AI tool to a department without encountering resistance? That’s a leadership challenge, not a learning objective for an online course.

Gap 4

No follow-up support, no coaching

A course ends with the final module. True transformation requires someone who, after four weeks, asks: “What worked, and what’s holding you back?” Free courses lack a support structure.

That doesn’t mean free courses are worthless. They’re the right first step. For companies that want to not only understand AI but also use it effectively, a second step is needed: hands-on guidance from someone who knows your processes and understands AI.

Lighthouse Consultings

Practical AI Training: "
" for Your Company

We don’t just show you where to click; we explain why AI features are relevant to your specific processes. With over 20 years of experience in operations and manufacturing, we understand the realities of businesses in the DACH region.

Format 01

Short Workshop

Half-day session, your team, AI fundamentals with direct business relevance.

Format 02

team training

Multi-day, department-specific, with hands-on exercises in your system environment.

Format 03

Supportive Coaching

90 days of implementation support: from training to team adoption.

Nico Röpnack: DHBW lecturer, Forbes Business Council member, ENGAGE 2025 speaker. Over 20 years of experience in manufacturing and operations. Reference: FEW Automotive GmbH.

Frequently asked questions

Your questions about free AI courses

Are the AI courses really completely free?

Yes, with one caveat. All the courses listed here are available for free. For Coursera in audit mode and for certain offerings from Microsoft and AWS, the course content is free, but obtaining the official certificate may require a fee. Google Cloud Skills Boost, AI Campus, and OpenHPI also issue certificates for free.

Are free courses sufficient to meet the requirements of the EU AI Act?

Partially. Article 4 of the EU AI Act requires “AI literacy”—that is, sufficient knowledge of AI for one’s specific role. Free courses meet the basic requirements. What they do not cover: the company-specific context, the regulatory depth required for high-risk AI systems, and practical application skills. For documentation purposes, we recommend filing certificates in personnel files and supplementing them with internal training records.

Which free AI course is best for beginners?

For German-speaking beginners with no prior technical knowledge: KI-Campus (ki-campus.org) or OpenHPI. Both are in German, academically rigorous, and offer free certification. For English speakers: “Introduction to Generative AI” by Google (1 hour, free, certificate) is the quickest way to get started. “AI For Everyone” by Andrew Ng on Coursera (free to audit) offers the most in-depth content for non-technical users.

Are there any free AI courses in German?

Yes. KI-Campus (ki-campus.org) is the largest German-language platform, offering over 100 courses in German; it is funded by the BMBF and is free of charge. OpenHPI (open.hpi.de) also offers university-level MOOCs in German. Microsoft Learn and Google Cloud Skills Boost have localized their key content into German as well, though not entirely.

How much does professional AI training for businesses cost?

That depends on the format, team size, and scope. A half-day intensive workshop for a team of 10 to 15 people starts at a low four-figure amount. Multi-day team training sessions with a business focus and hands-on exercises typically range from 3,000 to 12,000 EUR. We would be happy to provide you with a customized quote.

How long does it take to learn the basics of AI?

To gain a solid foundational understanding without any prior technical knowledge: 8 to 16 hours of well-structured study are sufficient. This amounts to one intensive weekend or four weeks of studying for one hour each evening. Anyone who wants to actively use AI in their job will then need practice time with real-world tasks, approximately 4 to 8 weeks. Practical skills for your specific role: This is an ongoing process, not a one-time goal.

About the author

Nico Röpnack

CEO of Lighthouse Consultings | Member of the Forbes Business Council

Nico Röpnack brings 20 years of operational experience in the manufacturing industry (including BMW, VOSS, and MAGNA). He is currently a Smartsheet Gold Partner, a lecturer on digital transformation at DHBW, and a member of the Forbes Business Council.

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