Certified Artificial Intelligence Practitioner™ (CAIP) Training

Digital Economy

Description

The Certified Artificial Intelligence Practitioner™ (CAIP) is a comprehensive training program designed for professionals seeking to master AI and Machine Learning (ML) concepts and techniques. Accredited by CertNexus®, this vendor-neutral certification equips participants with the skills to design, train, and implement ML solutions across industries. Through practical exercises, case studies, and guided projects, participants will gain the expertise to address real-world challenges effectively.

What You Will Learn

• Understanding AI Concepts: Gain a strong foundation in AI and Machine Learning principles. • Data Preparation: Learn techniques to preprocess, clean, and prepare data for ML models. • Model Building: Develop models using linear regression, forecasting, classification, clustering, decision trees, random forests, support vector machines, and neural networks. • Model Evaluation and Tuning: Train, evaluate, and fine-tune ML models to achieve optimal performance. • Operationalization of Models: Deploy and maintain ML models in production environments. • Real-World Applications: Apply learned techniques to solve practical business problems using AI and ML.

Syllabus

Day 1

• Lesson 1: Solving Business Problems using AI and ML • Lesson 2: Preparing Data

Day 2

• Lesson 3: Training, Evaluating, and Tuning a Machine Learning Model • Lesson 4: Building Linear Regression Models • Lesson 5: Building Forecasting Models

Day 3

• Lesson 6: Building Classification Models using Logistic Regression and k-Nearest Neighbor (k-NN) • Lesson 7: Building Clustering Models

Day 4

• Lesson 8: Building Decision Trees and Random Forests • Lesson 9: Building Support-Vector Machines (SVMs) • Lesson 10: Building Artificial Neural Networks

Day 5

• Lesson 10: Building Artificial Neural Networks (cont.) • Lesson 11: Operationalizing Machine Learning Models • Lesson 12: Maintaining Machine Learning Operations