Agentic & Generative AI/ML for Enterprise Automation
Design, govern, and deploy enterprise-wide agentic AI systems — from automation architecture and multi-agent orchestration to regulatory compliance and board-ready business cases.
₦300000.00₦270000.00
Ideal For
This course is designed for:
Chief Information Officers, CTOs, and technology directors who are responsible for AI strategy and need to move their organisations from pilot to production at scale
Enterprise architects and solution designers tasked with building the next generation of intelligent business systems across departments and platforms
Senior IT managers and digital transformation leads who own AI adoption programmes and need a practical framework to execute them successfully
Risk, compliance, and operations executives in regulated industries — banking, insurance, telecoms, and government — who need to deploy AI within strict regulatory guardrails
Product leaders and programme managers overseeing AI-powered enterprise platforms and responsible for their performance and governance
Senior engineers and technical leads transitioning from building individual AI applications into architecting organisation-wide AI ecosystems
Management consultants and technology advisors helping Nigerian and African organisations design and deploy enterprise AI transformation strategies
Heads of department and business unit leaders in large organisations who want to understand how to commission, govern, and measure AI automation initiatives within their functions
What Participants Will Learn
By the end of this course, participants will be able to:
Design end-to-end enterprise AI architecture that integrates generative AI and agentic systems across an organisation
Build and orchestrate multi-agent systems where specialised AI agents collaborate autonomously across business functions
Connect AI systems to existing enterprise platforms — ERP, CRM, HRMS, and core banking systems
Design intelligent document processing pipelines that automate high-volume enterprise workflows at scale
Build enterprise RAG systems that connect AI to organisational knowledge bases, SOPs, and policy documents
Develop AI governance frameworks that satisfy CBN guidelines and NDPC regulatory requirements
Create human-in-the-loop escalation and approval workflows that keep enterprise agents within safe operating boundaries
Design and present a board-ready business case for enterprise AI automation with ROI modelling and risk assessment
Build an internal AI centre of excellence — defining roles, responsibilities, and operating models for sustained AI adoption
Measure, monitor, and continuously improve enterprise AI systems in production
Description
Most organisations are drowning in AI pilots that never scale. This course teaches you exactly why — and exactly how to fix it. From multi-agent system design to CBN-compliant AI governance to a board-ready business case, Agentic & Generative AI for Enterprise Automation gives senior technology leaders the complete blueprint to move from pilot to production — and from production to transformation.