AI+ Business Intelligence Practitioner™
- From 505 EUR + VAT
- Self-paced online Start anytime
- Duration 40 hours of content, self-paced
- Language English
- Topic AI Data & Robotics
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
- Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
- Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
- Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions
Prerequisites
Familiarity with software applications, Basic knowledge of data analysis (beneficial, not mandatory), Suitable for all expertise levels, with an interest in AI, ML, and BI
Audience
Who is it for
Business Analysts: Sharpen your skills in data-driven strategies and AI-enhanced business intelligence for improved analysis.
Data Professionals: Expand your expertise by merging AI with business intelligence to extract actionable insights.
Executives and Leaders: Leverage AI and BI to craft smarter business strategies and boost organizational performance.
Tech Enthusiasts: Explore the intersection of AI and business intelligence and understand how these technologies are transforming industries.
Consultants: Add value to your clients by implementing AI and BI solutions to optimize business outcomes.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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