- AI-Powered Fundamental Analysis

AI-Powered Fundamental Analysis
Neel Randeria
Level
Beginner & Intermediate
Real-time insights
5 Sessions
Ideal for
Beginner & Intermediate
Language
English & Hindi
About this Crash Course
This crash course is designed to simplify the art of fundamental investing through the power of AI.
Even if you’ve never read an annual report or analyzed a balance sheet before, these sessions will help you understand how businesses create value - and how Artificial Intelligence (AI) can now help investors analyse faster, smarter, and with greater accuracy.
From decoding business models to identifying red flags, you’ll learn how to combine timeless investing wisdom with cutting-edge AI tools to make better, data-driven decisions
You will learn:
Key Takeaways
1
Understand any company’s business model in minutes using structured frameworks
2
Learn how AI can read and summarize annual reports, con-calls, and management commentary
3
Identify quality management and detect early forensic red flags with data-backed insights
4
Perform peer comparison and DuPont analysis automatically using AI-based tools
5
Build a complete research process that blends human judgment with machine precision
Sessions
5 Sessions
This crash course is for
1
Beginners in investing or finance who want to build a strong foundation in understanding companies and industries
2
Students and young professionals looking to develop practical equity research skills with AI-driven tools
3
Investors and analysts who wish to enhance their research speed, accuracy, and depth using artificial intelligence
4
Curious learners who want to combine traditional investing wisdom with modern AI capabilities to make smarter decisions
Meet your Mentor

Neel Randeria
CA, Educator & Finance Simplifier
3+ years of experience
Neel is a Chartered Accountant and is also done with his CFA Level II, known for making finance easy to grasp. Over 4,000 students have learned the language of numbers from Neel through classes that simplify ratios, markets, and business models.