Agentic & Generative AI/ML for Enterprise Automation

Course Structure 

• Duration: 3 Days Executive Bootcamp (Full Consultative Session with AI Expert Included)  

• Onsite Classes: at VIP Location

• Included: Buffet Breakfast and Lunch

• Access to the Catalyst AI Hub Africa Alumni Network

• 30 days of post-programme support

• 16+ Hands-On Workshop 

• Projects: 6+ including Real workgroup and personal project

• Theory vs Practical: 30% / 70%

Ideal For

This course is designed for:

• Chief Information Officers, CTOs, and technology directors  

• Enterprise architects and solution designers  

• Senior IT managers and digital transformation leads  

• Risk, compliance, and operations executives  

• Product leaders and programme managers 

• Senior engineers and technical leads  

• Management consultants and technology advisors  

• Heads of department and business unit leaders  

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.

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