Module #1 Introduction to AI for Business Intelligence and Analytics Overview of AI, its applications, and its relevance to business intelligence and analytics
Module #2 Business Intelligence and Analytics Fundamentals Understanding business intelligence, analytics, and decision-making processes
Module #3 AI for Data Preparation and Integration Using AI for data cleaning, transformation, and integration in business intelligence
Module #4 Machine Learning for Predictive Analytics Introduction to machine learning, its types, and applications in predictive analytics
Module #5 Supervised Learning for Business Problems Using supervised learning for regression, classification, and forecasting in business
Module #6 Unsupervised Learning for Pattern Discovery Using unsupervised learning for clustering, dimensionality reduction, and anomaly detection
Module #7 Deep Learning for Computer Vision and NLP Introduction to deep learning, computer vision, and natural language processing
Module #8 AI for Text Analytics and Sentiment Analysis Using NLP and deep learning for text analytics, sentiment analysis, and topic modeling
Module #9 AI for Image and Video Analytics Using computer vision and deep learning for image and video analytics
Module #10 AI for Time Series Forecasting Using machine learning and deep learning for time series forecasting
Module #11 AI for Recommendation Systems Building recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches
Module #12 AI for Anomaly Detection and Fraud Detection Using machine learning and deep learning for anomaly detection and fraud detection
Module #13 AI for Customer Segmentation and Clustering Using unsupervised learning for customer segmentation and clustering
Module #14 AI for Chatbots and Conversational AI Building chatbots using NLP, machine learning, and dialogue management
Module #15 AI for Business Process Automation Using AI for automating business processes, workflows, and decision-making
Module #16 AI for Supply Chain Optimization Using AI, machine learning, and optimization techniques for supply chain optimization
Module #17 AI for Financial Forecasting and Portfolio Optimization Using AI, machine learning, and optimization techniques for financial forecasting and portfolio optimization
Module #18 AI for Healthcare Analytics Using AI, machine learning, and NLP for healthcare analytics and medical research
Module #19 AI for Marketing Analytics and Personalization Using AI, machine learning, and NLP for marketing analytics and personalization
Module #20 AI Ethics, Fairness, and Transparency Understanding AI ethics, fairness, and transparency in business intelligence and analytics
Module #21 Building AI Solutions with Python Using Python for building AI solutions, including machine learning, deep learning, and NLP
Module #22 Building AI Solutions with R Using R for building AI solutions, including machine learning, deep learning, and NLP
Module #23 AI in Cloud and On-Premises Environments Deploying AI solutions in cloud and on-premises environments
Module #24 AI Governance and Maturity Model Establishing AI governance and a maturity model for organizations
Module #25 Course Wrap-Up & Conclusion Planning next steps in AI for Business Intelligence and Analytics career
