Learn AI, Optimization & Energy Simulation — the hands‑on way.
OptiVerse Academy is a growing library of practical, project‑based courses by Navid Shirzadi - a highly‑rated instructor with more than a decade of experience. Build real skills that bridge machine learning, optimization, and sustainable energy systems.
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Dr. Navid Shirzadi
Dr. Shirzadi is an Applied Scientist with a Ph.D. in Engineering and a decade of experience at the intersection of AI, optimization, and energy systems. His work focuses on scalable ML and optimization tools that accelerate building energy modeling, urban infrastructure planning, and digital twins.
He is a research scientist working on national AI initiatives - surrogate modeling tools, LLM fine‑tuning for energy efficiency, and cloud‑deployed analytics platforms. His background spans hybrid modeling techniques that bridge physics‑based simulations with deep learning, deployed on AWS for real‑world impact.
He thrives in interdisciplinary environments where engineering, data science, and cloud technologies converge to solve complex sustainability challenges - and he built OptiVerse Academy to share those methods with you.
Request a Live Workshop
Bring OptiVerse to your team with a tailored, hands‑on workshop — delivered virtually, on‑site, or as a hybrid session. Perfect for engineering teams, research groups, and organizations upskilling in AI, optimization, or energy modeling.
- Customized to your team’s stack, goals, and industry
- Live, hands‑on labs with real datasets and code
- Virtual, on‑site, or hybrid delivery formats
- Q&A, recorded sessions, and follow‑up materials included
Frequently asked questions
Everything you might want to know before enrolling.
Where are the courses hosted, and what do I get with each?
Every course is published on Udemy. When you enrol, you get lifetime access, downloadable resources, all future updates, and a certificate of completion. Udemy also offers a 30-day money-back guarantee, so you can try any course risk-free.
I’m new to this. Are the courses beginner-friendly?
Yes. Most courses start with foundational modules and gradually build toward hands-on projects. Prerequisites are clearly listed on each course page — basic Python and comfort with the command line are helpful for AI/ML courses, and no prior simulation experience is required for the energy modules.
Which course should I start with?
It depends on your goal. For AI & ML, start with a foundations course and then branch into Generative AI / LLMs. For energy & simulation, EnergyPlus fundamentals is the natural entry point, then move on to HOMER or optimization. Not sure? Use the contact form and I’ll suggest a path based on your background.
Do you offer live workshops for teams and companies?
Yes. I run tailored workshops — virtual, on-site, or hybrid — for engineering, R&D, and data-science teams. Duration typically ranges from a half-day intro to a multi-day deep dive. Head to the Request a Workshop section to get in touch.
Do I get code, datasets, and project templates?
Yes. Every course ships with the full source code, sample datasets, and any project templates used in the lectures. You’re free to reuse them in your own work.
Can I ask questions while I’m going through a course?
Absolutely. Udemy has a built-in Q&A on every course — I read and respond there personally. For workshop enquiries or collaborations, use the contact form.
Have a question? Let’s talk.
Course questions, feedback, collaborations, or just want to say hi — send a message and I’ll get back to you personally.
navid.shirzadi@hotmail.com