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See the Teaching Before You Decide

These are real class recordings from the Dandes Academy AI/ML program. Not trailers. Not demo reels. Actual sessions, so you know exactly what learning here feels like before you commit to anything.

Taught by Srinivas Dande, the same instructor who leads the full
program.

Covers topics across the curriculum: Python, ML,
Deep Learning, and more.

No sign-up needed for most videos. Just watch.

Want the full structured path? The webinar is your next step.

Srinivas Dande - Founder and Instructor
Meet Your Instructor

Every video is taught by Srinivas Dande

With 20+ years in engineering and teaching, including experience at Sun Microsystems, Srinivas has trained over 20,000 engineers. His style is structured, practical, and built for people who want to understand things deeply, not just get through the content.

What you see in these videos is what you get in the full program. Same clarity. Same depth. Same teaching.

20+
Years Exp.
20k+
Engineers

What's Covered In The Free Videos

The free class videos span topics from across the AI/ML curriculum. You'll find sessions on:

Pandas Fundamentals

Pandas

Python Functions Explained from Scratch

Built-in & User-Defined Functions

Pandas

Creating DataFrames in Pandas

Attributes & Descriptive Methods Explained

Pandas

Pandas Indexing & DataFrame Operations

iloc, loc, Modifying & Sorting Data

Functions in Python

Functions

Python Functions Explained from Scratch

Built-in & User-Defined Functions

Functions

User-Defined Functions in Python

Parameters, Arguments & Return Values

Functions

Variable Scope in Python

global, local & nonlocal Keywords Explained

Lists in Python

Lists

Lists in Python Explained

Indexing, Slicing, Operations & Loops

Lists

Python List Functions & Methods

append, extend, insert & Built-in Functions

Lists

Advanced List Methods in Python

Nested Lists, sort vs sorted, reverse vs reversed

System Design Interviews

SD

CAP Theorem Explained

Consistency vs Availability vs Partition Tolerance

SD

PACELC Theorem

System Design Interviews

SD

Consistency Models

Linearizability vs Sequential vs Causal

Self-Balancing BST

BST

I BALANCED

My AVL Trees in 2026 with This Simple BST Trick

BST

AVL Tree Rotations

Building AVL Tree Step-by-Step

BST

Red-Black Trees

Properties, Rotations & Recoloring

A Good Starting Point For Almost Everyone

For working professionals

For working professionals

If you're a senior engineer wondering whether the AI/ML program is too basic or too fast for someone at your level, watch a Deep Learning or MLOps session. You'll see the depth pretty quickly.

For students

For students

If you're trying to figure out whether this is the right program for placements, or whether the teaching style works for you, start with the Python or ML fundamentals session.

For the undecided

For the undecided

If you just want to see what structured AI learning looks like before spending any money, this is exactly the right place to start.

Ready For The Full Roadmap?

The free videos give you a taste. The webinar gives you the full picture. What the program covers, how long it takes, what you'll build, and whether it's the right fit for your goal.

No spam. Your details are used only to share course information and contact you
about your inquiry.

Frequently Asked Questions

Quick answers to common queries about batches, recordings, and career support.

Real class recordings. These are actual sessions from the AI/ML program, not edited highlights or marketing videos. What you see is how Srinivas teaches.