What’s Included?
High-Quality Video, E-book & Audiobook
Modules Quizzes
AI Mentor
Access for Tablet & Phone
Prerequisites
- Basic Computer Skills: Familiarity with software applications.
- Foundational Data Concepts: Basic knowledge of data analysis (beneficial, not mandatory).
- Open to All: Suitable for all expertise levels, with an interest in AI, ML, and BI.
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
Scikit-learn
TensorFlow
ChatGPT
Jupyter Notebooks
What You’ll Learn
AI and BI Integration
Understand the fundamental concepts of Artificial Intelligence (AI) and Business Intelligence (BI) and how they work together to drive data-driven decision-making.
Python for BI
Master Python programming and its application in business intelligence, including advanced libraries and data visualisation techniques for effective analysis.
Data Preparation and Feature Engineering
Learn how to collect, evaluate, and prepare data for machine learning and AI models, ensuring high-quality datasets for analysis.
Machine Learning Models
Gain expertise in applying machine learning techniques to enhance business intelligence and leverage data for predictive insights.
Course Modules
Module 1: Introduction to AI and BI Fundamentals
- 1.1 Overview of AI and BI Integration
- 1.2 Core Concepts in Business Intelligence
- 1.3 Data Analysis Process and AI’s Role
- 1.4 BI Trends and Challenges
- 1.5 Case Study
- 1.6 Hands-on Activity
Module 2: Python for AI-Driven Business Intelligence
- 2.1 Python Programming Fundamentals
- 2.2 Advanced Python Libraries for BI
- 2.3 Visualization with Python
- 2.4 Hands-on Activity
Module 3: Data Preparation and Feature Engineering with AI
- 3.1 Data Collection Techniques
- 3.2 Data Quality & Evaluation
- 3.3 Advanced Data Preparation
- 3.4 Hands-on Activity
Module 4: Machine Learning (ML) for Business Intelligence
- 4.1 ML Models for BI
- 4.2 Hands-on Activity
Module 5: Advanced AI and Generative AI for BI
- 5.1 Deep Learning and Neural Networks for BI
- 5.2 Generative AI for BI
- 5.3 Hands-on Activity
Module 6: Statistical Analysis with AI Tools
- 6.1 Statistical Analysis for BI
- 6.2 Time Series Analysis
- 6.3 Hands-on Activity
Module 7: AI-Powered Business Intelligence Tools
- 7.1 AI in BI Platforms
- 7.2 Power BI Essentials
- 7.3 Tableau Essentials
- 7.4 Hands-on Activity
Module 8: Prompt Engineering for AI-Driven BI
- 8.1 Introduction to Prompt Engineering
- 8.2 Crafting Effective Prompts
- 8.3 Hands-on Activity
Module 9: Communication Skills
- 9.1 Data Storytelling & Communication
- 9.2 Solution Presentation
Module 10: Capstone Project
- 10.1 Capstone Project 1
- 10.2 Capstone Project 2
- 10.3 Capstone Project 3
Frequently Asked Questions
Yes, you’ll gain practical, hands-on experience to immediately apply AI and BI skills in real-world business scenarios through case studies and a capstone project.
This course integrates AI and BI, teaching tools like Python, Power BI, and Tableau, along with advanced AI techniques and prompt engineering, set it apart from others.
You’ll work on projects like predictive modeling, data analysis, and AI-powered BI dashboards, culminating in a capstone project to solve real business problems.
The course blends theory, case studies, hands-on activities, and interactive sessions to ensure practical application of AI-driven business intelligence.
You’ll develop proficiency in AI and BI tools, gaining hands-on experience and a capstone project that prepares you for in-demand roles across industries.