Generative AI & ML Integration Workshop (Kaduna)

By DFK Academy Portal Admin Uncategorized
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About Course

This DFK three day executive workshop provides strategic, technical, and operational
guidance for integrating Generative AI (GenAI) and Machine Learning (ML) into
business operations. It is designed to help executives understand the capabilities,
constraints, and strategic value of emerging AI technologies such as large language
models, generative design, predictive analytics, autonomous systems, and AI-assisted
automation.
Participants learn how to identify high-impact use cases, evaluate risks, optimize AI
adoption, and create scalable AI-driven transformation plans. The workshop blends
practical frameworks, real-world case studies, demonstrations, team exercises, and
executive-level strategy sessions

What Will You Learn?

  • Understand the fundamentals and strategic applications of Generative AI and
  • ML.
  • Identify and evaluate business use cases aligned with organizational goals.
  • Learn how to integrate GenAI and ML into existing systems and workflows.
  • Explore governance, risk, and compliance requirements for AI adoption.
  • Develop enterprise-wide AI strategies and maturity roadmaps.
  • Understand data infrastructure, MLOps, and model lifecycle management.
  • Effectively lead cross-functional AI teams and communicate AI vision.
  • Measure ROI and operational impact of AI initiatives.

Course Curriculum

Module 1: The Generative AI Landscape & Executive Overview

Module 2: Strategic Use Cases for Generative AI & ML

Module 3: Data Strategy, Infrastructure & MLOps for Executives

Module 4: Integrating Generative AI into Business Workflows

Module 5: AI Governance, Safety & Risk Management

Module 6: Financial & ROI Considerations for AI Investments

Module 7: Leading AI Teams & Organizational Transformation

Module 8: Future of AI — Opportunities, Risks & Global Impact

Module 9: Capstone — Executive AI Integration Blueprint

Your Instructors

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Contact Info.
Head Office: No. 104, Umukalika, Opp. Metrological Complex, Abia State.

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