Navid Shirzadi Courses
Prompt Engineering for Everyone Bootcamp
4.5 (32,157 Reviews)
Provider: Udemy
Time: 3.9h- 2026
$19.99
VisitMachine Learning & Data Science A-Z: Hands-on Python
4.2 (1,256 Reviews)
Provider: Udemy
Time: 14.5h- 2026
$84.99
VisitTime Series Analysis and Forecasting with Python
4.3 (545 Reviews)
Provider: Udemy
Time: 10.3h- 2026
$69.99
VisitOptimal Sizing of Hybrid Renewable Energy Systems with Homer
4.6 (436 Reviews)
Provider: Udemy
Time: 2.5h- 2022
$59.99
VisitOptimization with Python: Complete Pyomo Bootcamp A-Z
4.7 (393 Reviews)
Provider: Udemy
Time: 9.4h- 2024
$12.99
VisitWind Energy Modeling Bootcamp: Hands-on Python
4.5 (280 Reviews)
Provider: Udemy
Time: 6h- 2023
$12.99
VisitPyTorch for Deep Learning Bootcamp: Zero to Mastery
4.3 (245 Reviews)
Provider: Udemy
Time: 9.3h- 2024
$12.99
VisitOptimization with GAMS: Operations Research Bootcamp A-Z
4.7 (217 Reviews)
Provider: Udemy
Time: 8.8h- 2024
$12.99
VisitEnergyPlus Essentials: Mastering Building Energy Simulation
4.7 (192 Reviews)
Provider: Udemy
Time: 6.7h- 2026
$12.99
VisitMastering Generative AI with PyTorch: Hands-on Experience
4.6 (183 Reviews)
Provider: Udemy
Time: 13.7h- 2026
$12.99
VisitOptimization with Genetic Algorithms: Hands-on Python
4.4 (165 Reviews)
Provider: Udemy
Time: 4.6h- 2024
$12.99
VisitGenerative AI with Context: RAG, CAG & KAG Applications
4.2 (79 Reviews)
Provider: Udemy
Time: 8.5h- 2026
$12.99
VisitMulti-Objective Optimization with Python Bootcamp A-Z
4.5 (69 Reviews)
Provider: Udemy
Time: 3.7h- 2023
$12.99
VisitEnergyPlus Advanced: Complex Building Energy Simulation
4.5 (41 Reviews)
Provider: Udemy
Time: 8.6h- 2026
$12.99
Visit
Most Recent Review
The explanations of RAG, CAG, and KAG are clear, well-structured, and supported by hands-on examples. Highly recommended for anyone looking to build context-aware AI systems and move beyond basic LLM usage.
- Review by Hakan on Generative AI with Context: RAG, CAG & KAG Applications
Instructor Bio
Welcome! I'm Navid Shirzadi, and I'm thrilled you're here.
I’m an Applied Scientist with a Ph.D. in Engineering and over a decade of experience working with integrated energy systems, optimization, and intelligent control strategies. My background spans mathematical optimization, advanced control, and hybrid modeling techniques that blend physics‑based simulations with modern AI.
I’m deeply experienced in Python, and I build cutting‑edge machine learning, deep learning, and agentic AI models for real‑world applications. My recent work focuses on leveraging agentic AI workflows and LLM‑powered tools to automate and enhance building energy modeling, EnergyPlus pipelines, and large‑scale simulation tasks.
Throughout my career, I’ve published research on intelligent control strategies for energy systems and developed AI‑driven methods that improve efficiency, reliability, and decision‑making. My passion lies in teaching these concepts in a clear, practical, and intuitive way, helping learners build skills they can immediately apply in engineering, data science, and AI‑driven modeling.
I’m excited to share my knowledge and help you grow your expertise in AI, optimization, and energy systems.















