Full Catalog

Explore the complete learning portfolio, not just a single landing offer.

Python Wallah now explains the larger academy journey too: Python core, data analytics, AI foundations, machine learning engineering, and GenAI product building.

All Programs

Six clearer tracks with stronger information for serious learners.

The catalog now gives each path an identity, purpose, and expected outcome so the website feels more professional and much easier to trust.

Python Core

Recorded Python Full Course

Self-paced Python fundamentals, OOP, files, APIs, revision support, and projects.

Duration16 weeks
TeacherAtuls Patel
FeeRs. 15,000
Python Live

Live Python Full Course

Live teaching, mentor support, classroom momentum, project reviews, and recordings.

Duration18 weeks
TeacherAtuls Patel
FeeRs. 17,000
AI & ML

AI & ML Foundation Program

Learn datasets, preprocessing, beginner ML, evaluation logic, and practical AI thinking.

Duration14 weeks
LevelPython-ready
FeeRs. 15,000
Analytics

Data Analytics with Python

Work on KPIs, reporting, dashboards, insights writing, and analytics projects.

Duration12 weeks
ModeRecorded
FeeRs. 15,000
Machine Learning

Machine Learning Engineer Track

Advance into experiments, validation, reproducibility, and engineering-minded ML projects.

Duration18 weeks
ModeLive + recorded
FeeRs. 17,000
Generative AI

Generative AI Product Builder

Build copilots, prompt systems, AI workflows, prototypes, and product-ready demos.

Duration10 weeks
ModeLive sprint
FeeRs. 17,000
Learning Schools

Each school has a clearer role in the learner journey.

01

Python School

Foundations, live classroom learning, projects, and job-facing execution.

02

Data & AI School

Analytics, machine learning fundamentals, and dataset-driven practical work.

03

GenAI Builder School

Prompt systems, AI workflows, product thinking, and prototype delivery.

What Learners Compare

The site now answers the questions buyers actually have before joining.

Who teaches? Atuls Patel is visible across the core and advanced tracks.
What tools are used? Python, analytics libraries, ML workflows, and AI product patterns.
What happens after payment? The learner moves into a multi-page student dashboard with resources and schedule views.

A fuller catalog makes the whole product feel larger, more trustworthy, and more serious.

Client-facing improvement Better information architecture and stronger buying confidence

Learners can now understand how Python leads into analytics, AI, machine learning, and GenAI.

Pathway clarity One academy story instead of isolated pages
Choose Your Track

Use the full catalog, then move straight into the enrollment flow.