EE400 — AI and Machine Learning Fundamentals for Energy
Where AI Meets the Grid EE400 is the entry point of GIEE’s flagship AI in Energy curriculum. This foundational course takes engineers from “I’ve heard about AI” to “I can apply machine learning methods to grid and energy problems.” Every concept is taught through real grid and energy examples. You will learn overfitting through a load forecasting failure. You will learn random forests through a transformer health prediction case study. You will learn cross-validation through a time-series forecast that fell apart in 2021. The pedagogy is grounded in domain expertise from utility operations and DER planning. EE400 is required for both …
EE203 — Solar PV Modeling, Simulation, and Energy Yield Analysis
The Modeling and Simulation Skills Solar PV Professionals Need EE203 is the fourth and final course of GIEE’s CSPP (Certified Solar PV Professional) track. Where EE200 establishes solar PV foundations, EE201 covers detailed design and sizing, and EE202 covers electrical design, codes, and operations, EE203 closes the track by teaching the modeling and simulation skills that validate solar PV designs and produce bankable energy yield estimates. You will master the industry-standard tools that solar engineers use every day: PVsyst for detailed simulation, NREL’s System Advisor Model (SAM) as a powerful free alternative, and the workflow concepts that apply across all major …
EE202 — Solar PV Electrical Design, Codes, and Operations
The Course That Completes the CSPP Foundation EE202 is the third course of GIEE’s CSPP (Certified Solar PV Professional) track. Where EE200 establishes solar PV fundamentals and EE201 covers detailed design and sizing, EE202 closes the gaps that turn a strong technical understanding into genuine professional capability: electrical design depth, comprehensive code mastery, utility interconnection, solar plus storage integration, and operations and maintenance. Solar PV professionals need to do more than calculate system sizes. They need to design wire runs that pass inspection, size overcurrent protection correctly, navigate the full NEC requirements for PV and storage systems, complete utility interconnection successfully, …
EE201 — Advanced Solar Power Systems
From Solar Concepts to Specified Systems EE201 is the engineering design course at the heart of GIEE’s CSPP track. Where EE200 establishes the foundational understanding of solar PV systems, EE201 takes engineers into the detailed design and sizing methods that turn solar concepts into specified systems ready for procurement, permitting, and installation. You will move from “I understand how solar works” to “I can size and specify a solar PV system.” The course covers detailed PV system sizing methodology, string design and inverter selection, DC/AC ratio optimization, shading analysis, energy modeling fundamentals, and the workflow that produces complete project documentation. Every …
EE200 — Introduction to Solar Power Systems
Build a Strong Solar PV Foundation EE200 is the foundational course of GIEE’s Solar PV track. Whether you are an engineer entering the solar industry, a recent graduate looking to build solar competency, or a professional from an adjacent field exploring solar opportunities, EE200 gives you the principled understanding of solar photovoltaic systems that everything else builds on. You will learn the physics of how sunlight becomes electricity, the technology of PV cells, modules, and arrays, the architectures of grid-tied and off-grid systems, the components that complete a solar installation, and the workflow that turns site potential into operational systems. The …
EE422 — AI for EV Integration, Digital Twins, and Cybersecurity
The Three Frontier Applications Shaping the Next Decade EE422 is the third and final course in GIEE’s Energy Add-On track and completes the CAEP (Certified AI for Energy Professional) certification path. The course covers three frontier AI application areas that will define the next decade of energy: electric vehicle integration at scale, digital twins for energy assets, and AI-driven cybersecurity for critical infrastructure. These three applications share a common characteristic — they are emerging from pilot deployments into mainstream operational use right now. EV adoption is moving from “interesting future trend” to “active grid impact.” Digital twins are evolving from marketing …
