Harnessing Analytical Artificial Intelligence: Data-Driven Decisions

Inspired By: Springer's Artificial Intelligence for Business Analytics Algorithms, Platforms and Applications Scenarios

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Harnessing Analytical Artificial Intelligence: Data-Driven Decisions

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Course Overview:

This course equips participants with the methods to leverage Analytical Artificial Intelligence for strategic and operational business outcomes. It covers the transformative role of AI in business analytics, including the implementation of AI algorithms and the enhancement of decision-making through Machine Learning.

Participants will explore techniques like Predictive, Descriptive, and Prescriptive Analytics and learn to use AI for data-driven decisions. Real-world case studies will demonstrate AI applications in Customer Sentiment Analysis, Market Segmentation, and Operational Management.

The course also offers insights into Data Preparation Techniques, AI Data Storage Solutions, and the integration of Big Data Analytics with cloud platforms like Amazon AWS, Google Cloud, and Microsoft Azure. With a focus on AI Technology Frameworks and Deployment Strategies, this program aims to transform how businesses use data and AI for success.

Target Audience:

Business analysts seeking to integrate AI into their analytics processes.
Data scientists and Machine Learning professionals aiming to specialize in business applications.
Managers and decision-makers need AI-driven insights.
Professionals in IT, operations, marketing, and supply chain roles looking to enhance their skill sets in AI and data analytics.

Targeted Organizational Departments:

Data Analytics and Business Intelligence Teams
Marketing and Customer Experience Departments
Operations and Supply Chain Management
IT and Digital Transformation Divisions

Targeted Industries:

Retail and E-commerce
Finance and Banking
Healthcare
Manufacturing
Logistics and Supply Chain

Course Offerings:

By the end of this course, participants will be able to:

Apply Analytical Artificial Intelligence to solve business challenges.
Utilize AI for Predictive Modeling, Market Segmentation, and Forecasting.
Implement Business Intelligence Frameworks and Cloud-based AI solutions.
Analyze customer sentiment using advanced data analytics techniques.
Deploy AI Technology Frameworks and optimize business processes with AI.

Training Methodology:

This course employs an interactive and engaging methodology, combining theoretical learning with practical applications. Participants will explore real-world scenarios through case studies on AI in Business, participate in group discussions on AI Deployment Strategies, and gain hands-on experience with Google Cloud and Amazon AWS. Techniques like simulation exercises, role-playing, and feedback sessions ensure participants are equipped to apply their learning effectively.

Course Toolbox:

Participants will receive:

Comprehensive course ebooks and reading materials
Templates for Predictive Analytics and Data Wrangling
Checklists for AI Deployment Strategies

Course Agenda:

Day 1: Foundations of Analytical AI

Topic 1: Introduction to Analytical Artificial Intelligence and Business Analytics
Topic 2: Distinction Between Business Intelligence and Business Analytics
Topic 3: Categorization of Analytical Methods: Descriptive, Predictive, and Prescriptive Analytics
Topic 4: Overview of AI and Its Role in Data-Driven Decision-Making
Topic 5: Business Analytics Technology Framework (BA.TF)
Topic 6: Data Sources: Structured, Unstructured, and Semi-Structured Data
Reflection & Review: Recap of foundational concepts and group discussion on potential applications.

Day 2: Data Preparation and Modeling

Topic 1: Data Preparation Techniques: ETL Processes and Data Cleansing
Topic 2: Data Storage Solutions: Data Warehouses vs. Data Lakes
Topic 3: Introduction to Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
Topic 4: Neural Networks: Basics and Applications in Business Analytics
Topic 5: Types of Problems in AI: Classification, Regression, and Clustering
Topic 6: Business Use Cases for Predictive Analytics
Reflection & Review: Interactive session to identify challenges in data preparation and discuss case studies.

Day 3: Advanced Analytical Techniques

Topic 1: Prescriptive Analytics and Optimization Techniques
Topic 2: AI in Customer Sentiment Analysis and Market Segmentation
Topic 3: Advanced Data Analysis Methods for Real-Time Insights
Topic 4: Automation and AI in Business Processes
Topic 5: Case Study: AI Deployment in Retail and Supply Chain Management
Topic 6: Continuous Improvement with AI in Operational Management
Reflection & Review: Participant presentations on implementing advanced techniques in their domains.

Day 4: AI Deployment Strategies

Topic 1: Cloud Platforms for AI: Amazon AWS, Google Cloud, and Microsoft Azure
Topic 2: Integrating AI Frameworks: TensorFlow, Scikit-Learn, and Others
Topic 3: Data Governance and Security in Big Data Environments
Topic 4: Deployment Models: Build or Buy Decisions for AI Solutions
Topic 5: AI for Recommendation Systems and Retail Analytics
Topic 6: Evaluation Metrics for AI Model Effectiveness
Reflection & Review: Team exercises on selecting and deploying AI tools for real-world scenarios.

Day 5: Practical Applications and Future Trends

Topic 1: Application Integration and Testing for AI Models
Topic 2: Leveraging AI for Decision Support and Automation
Topic 3: Emerging Trends in AI and Business Analytics
Topic 4: Case Study: Real-Time Streaming Analytics for Customer Insights
Topic 5: Ethical Considerations in AI Implementation
Topic 6: Capstone Project: Designing an AI-Driven Business Solution
Reflection & Review: Final group discussion and feedback session on course learnings and applications.

How This Course is Different from Other AI Courses:

This course distinguishes itself by focusing on real-world applications and decision-making. Unlike generic AI courses, it integrates practical scenarios such as AI in Customer Sentiment Analysis and Supply Chain Optimization. By emphasizing Cloud Platforms, Big Data Analytics, and Business Intelligence Frameworks, the program ensures that participants are equipped with the latest methods and techniques. This course goes beyond theory, offering actionable insights and strategies for leveraging AI to transform business operations.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Location	Dates	Duration	Mode	Price
Madrid	Week 19, 2026 04 - 08 May 2026	5 Days	Onsite	€5,700
Barcelona	Week 21, 2026 18 - 22 May 2026	5 Days	Onsite	€5,700
Seoul	Week 22, 2026 25 - 29 May 2026	5 Days	Onsite	€10,000
London	Week 22, 2026 25 - 29 May 2026	5 Days	Onsite	€5,700
Milan	Week 23, 2026 01 - 05 Jun 2026	5 Days	Onsite	€5,700
Zoom	Week 24, 2026 08 - 12 Jun 2026	5 Days	Online	€1,500
Istanbul	Week 26, 2026 22 - 26 Jun 2026	5 Days	Onsite	€4,500
Amsterdam	Week 27, 2026 29 Jun - 03 Jul 2026	5 Days	Onsite	€5,700
Rome	Week 28, 2026 06 - 10 Jul 2026	5 Days	Onsite	€5,700
Cairo	Week 29, 2026 13 - 17 Jul 2026	5 Days	Onsite	€4,100
Dubai	Week 30, 2026 20 - 24 Jul 2026	5 Days	Onsite	€4,500
Amsterdam	Week 30, 2026 20 - 24 Jul 2026	5 Days	Onsite	€5,700
London	Week 31, 2026 27 - 31 Jul 2026	5 Days	Onsite	€5,700
Vienna	Week 32, 2026 03 - 07 Aug 2026	5 Days	Onsite	€5,700
Jakarta	Week 32, 2026 09 - 13 Aug 2026	5 Days	Onsite	€5,700
Kuala Lumpur	Week 36, 2026 31 Aug - 04 Sep 2026	5 Days	Onsite	€5,200
Amsterdam	Week 37, 2026 07 - 11 Sep 2026	5 Days	Onsite	€5,700
Dubai	Week 39, 2026 21 - 25 Sep 2026	5 Days	Onsite	€4,500
Cape town	Week 39, 2026 27 Sep - 01 Oct 2026	5 Days	Onsite	€6,000
Kuwait	Week 42, 2026 18 - 22 Oct 2026	5 Days	Onsite	€5,500