Wednesday, May 6, 2026

Applying Large Models Across Industries: Practical Use Cases in Finance, Mining & Power

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VIRTUAL CLASSROOM TRAINING

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CLASSROOM TRAINING

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RECORDED TRAINING

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Overview

The rapid maturation of AI foundation model technologies is reshaping how industries operate  turning generative AI into a core driver of digital transformation across every sector. Yet bringing these models into production is far from straightforward: real-world deployments still face critical challenges around technology readiness, compute resources, data privacy, regulatory compliance, and security. For business and technical professionals working on industry-specific use cases, success now depends on the ability to think systematically about where, how, and why foundation models should be applied  and to translate their core capabilities into measurable business outcomes.

This expert-led training delivers a structured, application-first view of foundation model adoption in industry. It opens with a clear overview of how AI technologies have evolved and how they are being integrated across verticals, then dives into hands-on application practices and real case studies in three high-impact sectors: finance, mining, and power. Through these examples, learners will explore the core capabilities, deployment scenarios, and proven patterns of foundation models in industrial environments  building a solid, business-ready understanding of how to identify, design, and operationalize AI use cases that deliver real value.

Who is the course for?

  • AI architects, engineers, technology professionals, product managers, business strategists, and IT support staff working with  or planning to deploy  large model-based applications and intelligent systems in industry-specific environments.

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