Address
Level 8/25 Restwell Street, Bankstown NSW 2200, Australia
Business Hours
Monday to Friday: 10AM - 6PM
Weekend: CLOSED
AI+ Business Intelligence Practitioner™
USD$495.00 (GST excl.)
Formerly known as AI+ Business Intelligence™
Empower Your Career with AI+ Business Intelligence Practitioner™ for Advanced Data Solutions
- 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
Duration
Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content
Self-Paced: 40 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam
Overview
- 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
What you’ll learn
- 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.
Why this certification matters
- Comprehensive Learning Experience: Learn essential AI and BI concepts covering data preparation, predictive modeling, deep learning, and generative AI to strengthen your value in data-driven organizations.
- Learn High-Demand Skills: Master Python, Power BI, Tableau, and machine learning techniques through practical exercises that prepare you to apply these tools in real-world scenarios.
- Real-World Applications: Apply your knowledge through hands-on activities and a capstone project that strengthens your ability to make smarter, data-driven business decisions confidently.
- Stay Ahead in the Industry: Gain expertise that positions you competitively in fast-growing AI and BI fields, helping you adapt and thrive in evolving business landscapes.
Tools you’ll use
Scikit-learn
TensorFlow
ChatGPT
Jupyter Notebooks
Learning Modules
10 modules
1Module 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
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
2Module 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
2.2 Advanced Python Libraries for BI
2.3 Visualization with Python
2.4 Hands on Activity
3Module 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
3.2 Data Quality & Evaluation
3.3 Advanced Data Preparation
3.4 Hands on Activity
4Module 4: Machine Learning (ML) for Business Intelligence
4.1 ML Models for BI
4.2 Hands on Activity
4.2 Hands on Activity
5Module 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
5.2 Generative AI for BI
5.3 Hands on Activity
6Module 6: Statistical Analysis with AI Tools
6.1 Statistical Analysis for BI
6.2 Time Series Analysis
6.3 Hands on Activity
6.2 Time Series Analysis
6.3 Hands on Activity
7Module 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
7.2 Power BI Essentials
7.3 Tableau Essentials
7.4 Hands on Activity
8Module 8: Prompt Engineering for AI-Driven BI
8.1 Introduction to Prompt Engineering
8.2 Crafting Effective Prompts
8.3 Hands on Activity
8.2 Crafting Effective Prompts
8.3 Hands on Activity
9Module 9: Communication Skills
9.1 Data Storytelling & Communication
9.2 Solution Presentation
9.2 Solution Presentation
10Module 10: Capstone Project
10.1 Capstone Project 1
10.2 Capstone Project 2
10.3 Capstone Project 3
10.2 Capstone Project 2
10.3 Capstone Project 3
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 5 days (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| 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 |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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