The Certified Artificial Intelligence Practitioner™ (CAIP) specialization equips learners with the essential skills and knowledge to harness the power of Artificial Intelligence (AI) and machine learning (ML) in solving real-world business challenges. Through this comprehensive program, participants will explore various AI/ML technologies and their applications, learn to develop sound solutions using a methodical workflow, and ensure data privacy and ethical practices throughout the process.
Designed for data science practitioners entering the field of artificial intelligence, this specialization provides a roadmap to prepare for the CAIP certification exam. Learners will gain expertise in identifying business problems that AI/ML can address, building regression, classification, and clustering models, and exploring advanced algorithms used in both machine learning and deep learning.
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Gain expertise in solving business problems, workflow, and model building through five comprehensive modules. Prepare for the CAIP certification exam and differentiate between certification and other validation techniques.
Identify appropriate applications of AI and machine learning within a given business situation and select the tools to solve specific machine learning problems. Learn about data privacy and ethical practices when developing and deploying AI and machine learning projects.
Learn to collect, prepare, and analyze datasets for insights, and train machine learning models as needed to meet business requirements. Communicate findings of machine learning projects back to the organization.
Train and evaluate linear regression models, binary and multi-class classification models, and clustering models to find useful patterns in unsupervised data. Evaluate and tune classification models to improve their performance.
Train and evaluate decision trees, support-vector machines (SVM), multi-layer perceptron (ML) artificial neural networks (ANN), convolutional neural networks (CNN), and recurrent neural networks (RNN) for various tasks related to regression, classification, computer vision, and natural language processing.
Discover tools to prepare for the CAIP certification exam, differentiate between certifications and other validation techniques, and schedule and prepare to take the exam at a PearsonVUE test center or online via Pearson OnVUE.
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