Academy
Learn What Powers the Future
India’s First Career Accelerator for the Renewable Economy
Gain industry-grade skills in energy trading, RE100 compliance, IRECs, and energy analytics — to launch ventures, accelerate careers, or lead the clean transition.
Level: Advance
30 Hours
Applied Energy Trading & Market Operations
Market structures, actors, RECs/GOs, PPAs, basics of spot & day-ahead markets.
Level: Beginner
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Introduction to Renewable Finance & Project Economics
Core finance concepts applied to solar/wind projects: LCOE, CUF, simple cashflows.
Level: Beginner
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Project Finance & SPV Structuring for Renewables
Debt/equity structuring, covenants, term-sheets, lender DD and financial close.
Level: Beginner
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Energy Data Fundamentals: ETL, KPIs & Dashboards
Data flows for renewables, core KPIs (PR, CUF), dashboarding essentials.
Level: Beginner
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Applied Machine Learning for Renewable Forecasting
Time-series forecasting, feature engineering for generation & load, model evaluation.
Level: Beginner
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Solar Systems: Sizing, Layout & Resource Assessment
Level: Beginner
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EPC Management & Commissioning Best Practices
Level: Beginner
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Corporate Renewable Procurement & RE100 Pathways
Procurement instruments (onsite, offsite, PPAs, virtual PPAs, RECs), selection frameworks and stakeholder governance.
Level: Beginner
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Carbon Accounting, MRV & Market Integrity
Scope accounting, MRV standards, offset quality, and registry mechanics to avoid double-counting.
Performance you can measure. Impact you can verify.
Every Terrasol Academy course combines practitioner-led learning, live labs and project capstones so you graduate with deployable skills — from trading and finance to analytics and project delivery. Learn online, build real projects, prove impact.
Frequently Asked Questions
FAQs
Still have a questions?
General
Are all courses 100% online.
Yes — every course and capstone in the Academy is delivered fully online (recorded lessons + scheduled live sessions, labs and mentor office hours).
Who are these courses for?
Professionals and graduates aiming to enter or upskill in renewable energy functions — traders, finance and investment professionals, data scientists, project engineers, sustainability leads and corporate procurement teams.
How long are the courses?
Each course is long-format (10–26 weeks) and designed to be deep and career-oriented. Exact duration is shown on each course card.
Curriculum & Structure
How are the tracks structured?
Each track has three progressive levels: Foundations → Practitioner → Expert. Learners can take single courses or complete a full track to earn a Specialist diploma.
Do the courses overlap?
No — the curriculum is intentionally non-duplicative. Each course has distinct outcomes and a unique capstone so learners level up without repeating content.
Are course materials downloadable?
Lecture slides, datasets for lab work, code notebooks and assignment templates are downloadable for offline study. Video lectures remain streamed.
Prerequisites & Admissions
Are there prerequisites?
Foundations courses require no specialist experience. Practitioner and Expert level courses list recommended prerequisites (e.g., basic finance, Python, or a prior course in the same track). Check each course page for specifics.
Is there an application process?
Most courses are open-enrol. Select Expert-level or mentor-led cohorts may request a brief skill check or CV to ensure cohort suitability.
Learning Experience & Support
What is the teaching format?
A mix of recorded lessons, live instructor sessions, hands-on labs, weekly quizzes, peer discussion groups and a mentor-reviewed capstone project.
Will I get mentor support?
Yes — practitioner and expert courses include scheduled mentor hours and instructor office hours. Premium mentorship packages are available for capstone guidance.
How much time should I commit weekly?
Expect ~6–10 hours/week for Foundations, ~8–12 hours/week for Practitioner, and ~10–15+ hours/week for Expert courses (includes live sessions and project work).
Tools, Platforms & Technical Requirements
What tools or languages do I need?
Typical courses use Python (pandas, scikit-learn), Power BI/Tableau, Excel financial modelling, and cloud platforms for capstones. Specific tool lists are provided per course.
Are any paid software licenses required?
No mandatory paid licenses are required for core learning. Optional modules may demonstrate paid platforms; free/community alternatives are provided wherever possible.