Agentic & Generative AI/ML for Enterprise Automation

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:

• Distinguish between Robotic Process Automation (RPA), Generative AI, and Agentic AI — and apply the right approach to the right enterprise automation challenge

• Design end-to-end enterprise AI architecture that integrates generative AI and agentic systems across multiple departments and business functions

• Build enterprise-grade Retrieval-Augmented Generation (RAG) systems that connect AI to organisational knowledge bases, policy documents, and standard operating procedures

• Design and deploy intelligent document processing pipelines that automate high-volume, document-intensive enterprise workflows at scale

• Architect single-purpose enterprise AI agents — procurement agents, compliance agents, onboarding agents, and reporting agents — that operate autonomously within defined business rules

• Design multi-agent enterprise systems where specialised AI agents collaborate and hand off tasks across business functions without human intervention

• Build human-in-the-loop escalation and approval workflows that keep autonomous agents within safe, auditable operating boundaries

• Connect enterprise AI systems to existing organisational platforms — ERP, CRM, HRMS, and core banking systems — through structured integration architecture

• Develop AI governance frameworks that satisfy CBN guidelines, NDPC regulatory requirements, and sector-specific compliance obligations for Nigerian enterprises

• Design AI security architecture covering prompt injection defence, model access controls, data privacy, and audit trail generation

• Build a structured change management programme for rolling out AI automation across an organisation without disrupting existing operations

• Evaluate and manage AI vendors operating in the Nigerian and African market — including contract negotiation, SLA design, and third-party AI risk management

• Develop and present a board-ready business case for enterprise AI automation — including total cost of ownership modelling, ROI projection, and phased implementation planning

• Establish an internal AI centre of excellence — defining roles, responsibilities, capability requirements, and operating models for sustained enterprise AI adoption

• Monitor, measure, and continuously improve enterprise AI systems in production using observability frameworks, performance KPIs, and drift detection strategies

Description

This is not a course about AI tools — it is a course about AI transformation. Built for technology leaders, enterprise architects, and senior professionals, this programme equips you to architect, integrate, govern, and scale agentic and generative AI systems across an entire organisation — within Nigerian and African regulatory realities.