Self-paced, from Python to deep learning and AI

Master Data Science, ML & AI.
Build the Future.

Write real Python in your browser, from your first line of code to machine learning projects.

# Predict marks from hours of study
hours = [1, 2, 3, 4, 5]
marks = [52, 58, 66, 71, 79]

avg_h = sum(hours) / len(hours)
avg_m = sum(marks) / len(marks)

pairs = zip(hours, marks)
slope = sum((h - avg_h) * (m - avg_m) for h, m in pairs)
slope /= sum((h - avg_h) ** 2 for h in hours)
start = avg_m - slope * avg_h

print(f"6 hours -> about {start + slope * 6:.0f} marks")

Output: 6 hours -> about 85 marks

Stage 01 • Core Engineering & Foundations

Python for Data Science

Master Python 3.12 fundamentals, high-performance data wrangling, algorithmic problem solving, and object-oriented architecture with real-world datasets from day one.

Core Tools & Concepts+15 additional skills in track
Python 3.12PandasNumPyOOP & Design PatternsData Structures & AlgorithmsFile I/O & Regex
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AI & Engineering Masterclasses

Python Programming: Beginner to Job‑Ready
#1 Most Popular
BEGINNER

Python Programming: Beginner to Job‑Ready

Python Programming: Beginner to Job‑Ready Learn Python from scratch with hands-on practice, mini projects, and interview-focused problem solving. Perfect for beginners.

29 Modules•20 hrs
₹2,499
Large Language Models
#2 Hot Track
ADVANCED

Large Language Models

Pretraining, scaling, RLHF, and inference — how large language models actually work.

10 Modules•42 hrs
₹3,999
Agentic Systems Engineering
#3 Cutting Edge
ADVANCED

Agentic Systems Engineering

Production agentic systems: multi-agent orchestration, reliability, observability, and security.

15 Modules•38 hrs
₹4,499
Deep Learning
#4 High Demand
ADVANCED

Deep Learning

Deep learning with PyTorch — MLP, CNN, RNN, LSTM, attention, and transfer learning.

13 Modules•40 hrs
₹3,499
Machine Learning Foundations
#5 Core Industry
INTERMEDIATE

Machine Learning Foundations

The "why" of ML — theory, taxonomy, generalization, bias-variance, and the ML workflow.

9 Modules•36 hrs
₹2,999
Data Analysis & Visualization
#6 Essential
INTERMEDIATE

Data Analysis & Visualization

EDA, data cleaning, visualization, and storytelling — applied to real datasets.

13 Modules•28 hrs
₹2,499
MLOps & AI Infrastructure
#7 Production Scale
ADVANCED

MLOps & AI Infrastructure

Docker, CI/CD, model registry, monitoring, and GPU inference — MLOps in production.

13 Modules•36 hrs
₹3,999
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Explore All 36 Curriculum Tracks→
35+
Course Hours
54
Curriculum Lessons
50+
Coding Labs
10
Graded Quizzes

Meet Your Mentor & Lead Instructor

AN
Verified Lead

Lead Instructor

Principal Software Engineer & AI Architect

Specializing in robust backend systems, distributed Python microservices, algorithms, and practical AI engineering.

GitHub ActiveLinkedIn Verified
“

My goal isn't just to teach you Python syntax; it's to train you how to think like a senior software engineer, debug independently with confidence, and build production-grade applications that stand out in technical interviews and real-world jobs.

Lead Instructor, AlgoNerd
10+
Years Industry Exp.
10,000+
Students Mentored
50+
Hands-on Labs
98%
Satisfaction Rate

Core Technical Stack & Focus Areas

Python 3.12+Data Structures & AlgorithmsObject-Oriented DesignFastAPI & MicroservicesAsyncIO & ConcurrencyAgentic AI & PyTorchPostgreSQL & ORMsGit & CI/CD PipelinesClean ArchitectureTesting & Debugging

Zero Fluff, 100% Practical Code

No passive video lectures. Every lesson is grounded in real terminal workflows, practical debugging scenarios, and portfolio utilities.

Production Engineering Standards

Learn how modern tech teams build software with type hints, unit testing, SOLID design patterns, and clean version control.

Practical Engineering & Code Walkthroughs

Deep-dive into step-by-step code teardowns with personal architectural guidance, best practices, and career-focused engineering clinics.

Algorithmic & AI Problem Solving

Bridge the gap between core Python fundamentals and modern AI architectures, agentic systems, and real-world data pipelines.

Frequently
Asked
Questions

The Python Masterclass is a complete 35+ hour production-grade curriculum structured into 10 progressive modules with 54 comprehensive lessons. It starts from core syntax, data types, and data structures (lists, tuples, dicts, sets), advances through functions, recursion, and scope, and dives deep into Object-Oriented Programming (OOP), exception handling, file I/O operations, regular expressions, and standard library tools essential for Data Science and AI engineering.
Not at all! AlgoNerd includes a high-performance in-browser Python 3.12 execution engine and terminal sandbox. You can write, execute, debug, and test your Python code immediately from your browser on any laptop or operating system with zero initial software installation required.
Every conceptual lesson is paired with interactive coding labs. The curriculum features 50+ in-browser coding exercises with automated test cases, guided hints, and real-time execution feedback, plus 10 module-end graded quizzes to solidify your mastery before advancing.
No prior programming experience is required. The curriculum begins with computational thinking and foundational logic, building up systematically from basic variables to advanced architectural patterns. It is tailored for students, career switchers, and professionals alike.
AlgoNerd offers a structured 10-stage roadmap spanning 36 specialized tracks — starting from Stage 01 Foundations (Python, DSA, Math) through Data Analytics, Machine Learning, Deep Learning (CNNs, Transformers), Generative AI (LLMs, RAG, Multi-Agent Swarms), MLOps, and Capstone Deployment. You can take individual courses or enroll in complete Stage Bundles with automatic savings.
Every enrolled course provides 1 Year of full access (365 days) from your enrollment date. This includes 24/7 on-demand access to all lessons, interactive sandboxes, quizzes, coding challenges, and curriculum updates.
Yes! Upon completing all 54 lessons, solving the interactive coding labs, and achieving a 60%+ score across all 10 module quizzes, you will be awarded a verified, industry-ready Certificate of Completion that you can showcase on LinkedIn and in your portfolio.
We offer a 100% full refund within 7 days of purchase if you have completed less than 20% of the course content. Please refer to our Refund Policy page for complete details.