Nigerian Seminars and Trainings

Search all upcoming seminars, conferences, short management courses and training in Nigeria and around the World

business logo

AI-Powered Intelligence Gathering and Predictive Threat Analysis

By: GTC

Lagos State, Nigeria

06 - 10 Jul, 2026  5 days

Follow Event

  

NGN 300,000

Venue: Lagos

COURSE OVERVIEW
This course provides an examination of how artificial intelligence transforms intelligence collection and analysis. It
covers AI technologies such as machine learning, natural language processing, and predictive analytics to enhance
data gathering, processing, and threat forecasting. The course emphasizes ethical considerations and human analyst
roles in leveraging AI effectively. Through practical case studies and exercises, participants will learn to apply AI tools
for extracting actionable insights from vast and complex data sources, improving decision-making accuracy and speed.

WHO SHOULD ATTEND?
This course is designed for security professionals, intelligence analysts, law enforcement officers, defence personnel,
corporate risk managers, and decision makers who are responsible for threat detection, crisis management, and
strategic security planning. It is also valuable for IT and cyber security specialists seeking to understand how AI can be
applied to intelligence gathering and risk prediction.

COURSE OUTCOMES
Delegates will gain the skills and knowledge to:
• Compare traditional intelligence cycles with AI-enhanced processes.
• Apply AI techniques like NLP and network analysis to automate data collection.
• Build data pipelines to prepare diverse data for analysis.
• Develop machine learning models for anomaly and pattern detection.
• Create predictive models to forecast threats and assess risks.
• Evaluate the ethical implications and limitations of AI in intelligence.
• Produce actionable intelligence reports from AI-driven findings.

KEY COURSE HIGHLIGHTS
At the end of the course, you will understand;
• How AI automates and enhances intelligence data collection.
• Techniques for real-time data analysis and threat pattern recognition.
• Applications of AI in predictive threat forecasting and early warning.
• Integration of AI with open-source and classified intelligence sources.
• Ethical and legal considerations in AI-driven intelligence activities.
• Use of machine learning models to improve decision-making accuracy.
• Strategies to combine AI capabilities with human expertise for optimal intelligence outcomes.

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.

Lagos Jul 06 - 10 Jul, 2026
NGN 300,000.00(3 Days (N300,000), 5 Days (N600,000), 10 Days (N1,200,000))
(Convert Currency)

Emmanuel Joseph 09056761232

Related Courses

MLOps: CI/CD for Machine Learning MLOps: CI/CD for Machine Learning

5 days, 01 - 05 Jun, 2026 

2026-06-01 12:06:00 2026-06-01 12:06:00
Lagos State, Nigeria

GTC

This course focuses on the principles and practices of MLOps (Machine Learning Operations), with a strong emphasis on Continuous Integration and Continuous Deployment (CI/CD) for ML models. ...

Customer Relationship Management in the Age of AI and Automation Customer Relationship Management in the Age of AI and Automation

5 days, 27 - 31 Jul, 2026 

2026-07-27 12:07:00 2026-07-27 12:07:00
Akwa Ibom State, Nigeria

GTC

This course examines how intelligent technologies are reshaping customer engagement, service delivery, and retention strategies. It looks critically at key areas such as AI-driven customer insights, ...

Economic Feasibility and Value Optimization of Mineral Projects Economic Feasibility and Value Optimization of Mineral Projects

5 days, 31 Aug - 04 Sep, 2026 

2026-08-31 12:08:00 2026-08-31 12:08:00
Akwa Ibom State, Nigeria

GTC

This practical course enables participants to gain analytical skills to evaluate the financial viability of mining and mineral development ventures. It explores key concepts such as project ...

Employee Experience, Productivity, and Engagement in the Digital Workplace Employee Experience, Productivity, and Engagement in the Digital Workplace

5 days, 03 - 07 Aug, 2026 

2026-08-03 12:08:00 2026-08-03 12:08:00
Akwa Ibom State, Nigeria

GTC

This course provides an extensive framework that helps leaders and HR professionals, build people-first strategies to enhance satisfaction, performance, and loyalty in digitally enabled ...