Artificial Intelligence Associate is the first exam in the CIW Artificial Intelligence series. This exam validates the essentials of AI system design, deployment, program design structure, testing, critical thinking, problem identification and solution implementation, data set creation, selection and curation, algorithms, privacy, ethics and responsible development and programming techniques. The student will also gain skills in programming, mathematical calculations and statistics to provide students with the opportunity to be successful professionally in the AI community.
All CIW curriculum offer Case Studies for class discussion about real-world skills applications and jobrelated topics. Guided, step-by-step labs provide opportunities to practice new skills. You can challenge yourself and review your skills after each lesson in the Lesson Summary and Lesson Review sections. Additional skill reinforcement is provided in Activities, Optional Labs, Lesson Quizzes, Practice Tests and TestPrep resources that are available from your instructor (for ILT training) or CIW Online (for self-study).
The curriculum includes supplemental online material containing the lab files used in class. To practice the skills presented in class or to perform any labs that were not completed, refer to the Classroom Setup section for information about system requirements and using the lab files.The CIW Artificial Intelligence Associate course prepares students to take the high-stakes CIW Artificial Intelligence Associate certification exam (1D0-181).