AI0145 : Certified Artificial Intelligence Practitioner (CAIP) (CertNexus-CAIP Exam Preparation Training)

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 This course is designed to provide participants with a detailed and up-to-date overview of Certified Artificial Intelligence Practitioner (CAIP). It covers the AI and ML solutions for business problems, following a machine learning workflow and formulating a machine learning problem; selecting appropriate tools and platforms, data collection and initial data exploration; the data transformation and engineering features and feature engineering for machine learning; and the exploratory data analysis and visualization, training a machine learning model (fundamentals) and evaluating and tuning machine learning models. 

 Further, the course will also discuss the linear regression, forecasting models and classification models using logistic regression and k-nearest neighbour; the clustering models, decision trees and random forests, support-vector machines (SVMs) and artificial neural networks (ANNs); the deep learning model tuning and advanced applications; and the ethics, privacy and responsible AI in model building. 

 During this interactive course, participants will learn the machine learning models, automating the ML process (MLOps) and maintaining models in production and securing ML pipelines and mitigating risks; integrating models into business processes and finalising model handoff and lifecycle management; the future of AI and emerging trends and measuring value; and the key performance indicators (KPIs) for AI initiatives, change management and scaling AI solutions across enterprise.