Agentic AI Solutions: A Practical Framework for Adoption in the Energy Sector Course

As the energy sector races to adopt artificial intelligence, many organizations find themselves overwhelmed by hype, tools, and pressure to act. Agentic AI Solutions cuts through the noise by providing a practical, structured framework for implementing AI systems that are purposeful, scalable, and aligned with business goals. Designed for engineers, data professionals, operations managers, and technical leaders, this course demystifies agentic AI and shows how to integrate it into real-world workflows—from daily monitoring to long-term optimization. Learners will gain the skills to evaluate where AI adds value, how to govern it responsibly, and how to build modular, multi-agent systems that evolve over time. Whether you’re leading digital transformation or building your first pilot, this course offers the clarity and confidence to move forward.

01-01 – Rethinking The Change Gap
01-02 – Slowing Down To Speed Up: From Tool-Chasing To Process Thinking
01-03 – The New AI Paradigm: From Software To Agents

02-01 – AI Governance And Strategic Role
02-02 – Aligning Data Governance With Ai Governance
02-03 – Roles In Governance: Technology, Security, People, And Data
02-04 – Defining Boundaries: Where To Deploy AI

03-01 – Generative AI, Agents, And Multi-Agentic Systems: What’S The Difference?
03-02 – Multi-Agent Stack And Architectural Layers
03-03 – Agent Infrastructure &Amp; Memory Stack
03-04 – Blueprint Patterns: Real-World Architectures

04-01 – From Architecture To Action: Mapping Processes To Agents
04-02 – Low-Disruption, High-Value Implementation
04-03 – Human-Machine Harmony: Building Trust One Agent At A Time
04-04 – Scaling Intelligently: From One Agent To Many
04-05 – Embedded Oversight: Agents That Govern Agents

05-01 – Mapping The Daily Production Workflow
05-02 – Agentic Workflow: Diagnosing A Problem Well
05-03 – Implementing AI-Augmented Solutions
05-04 – Scaling: Multi-Agent System
05-05 – Final Takeaways

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