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.
Course outline
- 1
Lesson 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
- 2
Lesson 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
- 3
Lesson 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
- 4
Lesson 4: Machine Learning (ML) for Business Intelligence
- 4.1 ML Models for BI
- 4.2 Hands-On Activity
- 5
Lesson 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 Advanced AI Techniques
- 5.4 Hands-On Activity
- 6
Lesson 6: Statistical Analysis with AI Tools
- 6.1 Statistical Analysis for BI
- 6.2 Time Series Analysis
- 6.3 Hands-On Activity
- 7
Lesson 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
- 8
Lesson 8: Prompt Engineering for AI-Driven BI
- 8.1 Introduction to Prompt Engineering
- 8.2 Crafting Effective Prompts
- 8.3 Hands-On Activity
- 9
Lesson 9: Communication Skills
- 9.1 Data Storytelling & Communication
- 9.2 Solution Presentation
- 10
Lesson 10: Capstone Project
- Capstone Project 1
- Capstone Project 2
- Capstone Project 3
Materials
All necessary course materials are included.
System requirements
Minimum technical expectations for the online learning environment. Your IT team can use this as a checklist.
Internet connectivity
Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.
While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system. This is due to the potential high download and upload latency of cellular connections. Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.
Hardware
CPU: 1 GHz or higher RAM: 4 GB or higherResolution: 1280 x 720 or higher. 1920x1080 resolution is recommended for the best experience. Speakers / Headphones. Microphone for Webinar or Live Online sessions.
Operating system
Windows 7 or higher. Mac OSX 10 or higher. Latest Chrome OS. Latest Linux Distributions.
While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.
Web browser
Latest Google Chrome is recommended for the best experience. Latest Mozilla FireFox. Latest Microsoft Edge. Latest Apple Safari
Recommended software
Office suite software (Microsoft Office, OpenOffice, or LibreOffice). PDF reader program (Adobe Reader, FoxIt). Courses may require other software that is described in the above course outline.
Ready for a team proposal?