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Last Updated: Sep 01, 2026
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| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Artificial Intelligence Fundamentals v1 - Associate |
| Exam Number: | C1000-206 |
| Exam Duration: | 90 minutes |
| Passing Score: | 65% |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | English, Japanese |
| Exam Price: | $200 USD |
| Recommended Training: | IBM Artificial Intelligence Fundamentals Course |
| Exam Registration: | Pearson VUE IBM Certification Registration |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No formal prerequisites; basic understanding of IT concepts recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/C1000-206 |
| Section | Weight | Objectives |
|---|---|---|
| Ethics, Governance and Future of AI | 15% | - Regulatory compliance and trust - Emerging trends and future directions - Ethical principles and bias mitigation |
| AI Tools, Platforms and IBM Solutions | 20% | - Cloud AI platforms - Development tools and frameworks - IBM Watson services overview |
| Deep Learning and Neural Networks | 20% | - Applications in computer vision and NLP - Deep learning architectures - Neural network fundamentals |
| Machine Learning Basics | 25% | - Model training and evaluation - Data preparation and preprocessing - Supervised, unsupervised, reinforcement learning |
| Introduction to Artificial Intelligence | 20% | - Types of AI: Narrow vs General - AI applications and use cases - Definition and history of AI |
The C1000-206 exam leads to the IBM Certified Associate - Artificial Intelligence Fundamentals v1 certification, a Associate-level credential from IBM. It validates the skills measured by the IBM Artificial Intelligence Fundamentals v1 - Associate syllabus and is a recognized step for IT professionals building their careers.
The IBM Artificial Intelligence Fundamentals v1 - Associate exam includes 60 questions and gives you 90 minutes to complete them. That works out to a fairly tight pace, so reading each question carefully but decisively matters more than perfectionism. If a question stalls you, flag it and move on; banking the easier points first keeps time pressure from snowballing near the end. Before test day, run at least one full timed session with the Actualtests4sure practice test so the rhythm feels familiar rather than rushed.
You need 65% to pass the C1000-206 exam, and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying the full fee again to retake the exam, so it pays to be honest with yourself before booking a seat. A practical benchmark: work through the 0 practice questions at Actualtests4sure until you can score comfortably above the passing line in timed mode, then schedule your exam.
No formal prerequisites; basic understanding of IT concepts recommended Because IBM may adjust its policies over time, we recommend confirming the latest requirements on the official exam page (official exam page) before you register.
You can sign up for the IBM Artificial Intelligence Fundamentals v1 - Associate exam through any of the official registration channels below:
As for how the exam is delivered: Online proctored or onsite testing center.
IBM suggests the following training options for candidates preparing for IBM Artificial Intelligence Fundamentals v1 - Associate:
Formal training is a solid foundation, and pairing it with the 0 practice questions from Actualtests4sure helps you turn that knowledge into exam-day confidence.
Yes. Actualtests4sure offers a free PDF demo of the IBM Artificial Intelligence Fundamentals v1 - Associate material, so you can review the question style and answer quality before making a decision. Every purchase also includes 365 days of free updates, and after that period you can extend your updates at a 50% discount, which keeps your preparation current through 2026 and beyond.
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The IBM Artificial Intelligence Fundamentals v1 - Associate syllabus is divided into 5 main domains, including Deep Learning and Neural Networks (20%), Introduction to Artificial Intelligence (20%), AI Tools, Platforms and IBM Solutions (20%). Each domain carries a different share of the total score, so knowing where the weight sits helps you allocate your study time wisely. You will find the complete, up-to-date outline in the Exam Topics section above.
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