Complete Learning Library
Master Python, React, Next.js, Data Engineering, ML, DL, LLM, Cybersecurity, and more with comprehensive tutorials, real-world examples, and expert guidance β completely free.
All Available Courses
Choose your learning path. Every course is comprehensive with code examples and practical exercises.
Python
130 Lessons
Beginner to Advanced
Complete Python mastery from beginner to advanced. Data structures, OOP, decorators, async programming, and more.
Topics Covered
Modules (21)
React.js
50 Lessons
Intermediate to Advanced
Modern React development with hooks, patterns, performance optimization, auth, i18n, and testing.
Topics Covered
Modules (18)
Next.js
50 Lessons
Intermediate to Advanced
Full-stack Next.js with App Router, server components, API routes, middleware, and deployment.
Topics Covered
Modules (26)
HTML & CSS
80 Lessons
Beginner to Intermediate
Modern HTML and CSS with semantic markup, accessibility, animations, Grid, Flexbox, and responsive design.
Topics Covered
Modules (45)
Cybersecurity
60 Lessons
Beginner to Expert
Comprehensive cybersecurity from fundamentals to advanced. Network security, cryptography, forensics, and incident response.
Topics Covered
Modules (46)
Blockchain
20 Lessons
Beginner to Advanced
Blockchain fundamentals, cryptocurrency, smart contracts, DeFi, NFTs, DAOs, and Web3 development.
Topics Covered
Modules (20)
Data Science
87 Lessons
Beginner to Advanced
NumPy, Pandas, matplotlib, scikit-learn, and deep learning fundamentals.
Topics Covered
Modules (11)
DS Premium
50 Lessons
Advanced
Feature engineering, MLOps, transformers, causal inference, and real-world projects.
Topics Covered
Modules (5)
Machine Learning
85 Lessons
Intermediate to Advanced
Regression, classification, clustering, neural networks, and MLOps.
Topics Covered
Modules (6)
Deep Learning
55 Lessons
Advanced
Backpropagation, CNNs, RNNs, attention, transformers, GANs, and diffusion models.
Topics Covered
Modules (6)
LLM
155 Lessons
Advanced
Transformer architecture, tokenization, fine-tuning, LoRA, RAG, RLHF, agents, and production systems.
Topics Covered
Modules (8)
Generative AI
100 Lessons
Intermediate to Advanced
Transformers, diffusion models, RAG, agents, prompt engineering, fine-tuning, and production GenAI systems.
Topics Covered
Modules (6)
System Design
120 Lessons
Advanced
Scalability, distributed systems, databases, caching, load balancing, and real-world system design problems.
Topics Covered
Modules (6)
Statistics
400+ Lessons
Beginner to Advanced
Probability, distributions, hypothesis testing, Bayesian methods, and regression.
Topics Covered
Modules (5)
Engineering Math
100 Lessons
Beginner to Advanced
Linear algebra, calculus, probability, statistics, optimization, and advanced topics.
Topics Covered
Modules (5)
R Programming
75+ Lessons
Beginner to Advanced
Data manipulation, ggplot2, dplyr, tidyr, statistical modeling, and R Markdown.
Topics Covered
Modules (6)
PySpark
40+ Lessons
Intermediate to Advanced
SparkSession, DataFrames, Spark SQL, Structured Streaming, and production patterns.
Topics Covered
Modules (5)
Apache Kafka
5+ Lessons
Intermediate to Advanced
Distributed event streaming, topics, producers, consumers, Streams, and Connect.
Topics Covered
Modules (6)
Apache Airflow
30 Lessons
Intermediate to Advanced
Workflow orchestration, DAGs, operators, sensors, executors, and scheduling.
Topics Covered
Modules (6)
dbt
30 Lessons
Intermediate to Advanced
Data transformation, models, tests, Jinja templating, materializations, and docs.
Topics Covered
Modules (6)
Snowflake
50 Lessons
Intermediate to Advanced
Cloud data platform, architecture, time travel, streams, tasks, and Snowpark.
Topics Covered
Modules (6)
NLP
75 Lessons
Intermediate to Advanced
Natural Language Processing β tokenization, embeddings, transformers, BERT, GPT, sentiment analysis, and production NLP systems.
Topics Covered
Modules (6)
AIOps & LLMOps
50 Lessons
Advanced
AIOps and LLMOps β model monitoring, LLMOps pipelines, RAGops, vector databases, AI infrastructure, and MLOps.
Topics Covered
Modules (6)
AWS Data Engineering
65 Lessons
Advanced
Master AWS Data Engineering β S3, Glue, Redshift, EMR, Kinesis, Lambda, Step Functions. Service overview, architecture diagrams, pipelines, 200+ interview Q&A.
Topics Covered
Modules (8)
GCP Data Engineering
65 Lessons
Advanced
Master GCP Data Engineering β BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer. Service overview, architecture diagrams, pipelines, 200+ interview Q&A.
Topics Covered
Modules (6)
Azure Data Engineering
65 Lessons
Advanced
Master Azure Data Engineering β Synapse, ADF, Databricks, Event Hubs, Stream Analytics. Service overview, architecture diagrams, pipelines, 200+ interview Q&A.
Topics Covered
Modules (6)
SQL Interview Questions
20 Lessons
Advanced
Premium SQL interview questions from Google, Amazon, Meta, Netflix, Uber. Window functions, CTEs, optimization, indexing.
Topics Covered
Modules (5)
PySpark Interview Questions
20 Lessons
Advanced
Premium PySpark interview questions from Google, Amazon, Meta, Netflix. SparkSession, DataFrames, optimization, streaming.
Topics Covered
Modules (6)
Airflow Interview Questions
20 Lessons
Advanced
Premium Apache Airflow interview questions from Netflix, Amazon, Google, Uber. DAGs, operators, scheduling, Kubernetes.
Topics Covered
Modules (6)
Snowflake Interview Questions
20 Lessons
Advanced
Premium Snowflake interview questions from Amazon, Google, Netflix, Uber. Architecture, warehouses, time travel, performance.
Topics Covered
Modules (6)
ML Interview Questions
20 Lessons
Advanced
Top-tier ML interview questions from Google, NVIDIA, Amazon, Meta, OpenAI, and Anthropic with detailed answers.
Topics Covered
Modules (6)
DL Interview Questions
20 Lessons
Advanced
Premium DL interview questions from OpenAI, Google, NVIDIA, Meta, Anthropic, and DeepMind with detailed answers.
Topics Covered
Modules (6)
DS Interview Questions
20 Lessons
Advanced
Premium DS interview questions from Google, Amazon, Meta, Netflix, Uber, and Apple with detailed answers.
Topics Covered
Modules (6)
Data Scientist Role
20 Lessons
Advanced
Role-based DS interview questions from Google, Meta, Amazon, Netflix. Metrics design, A/B testing, product sense.
Topics Covered
Modules (5)
DE Interview Q&A
40 Lessons
Advanced
40 deep-dive Data Engineering interview questions β data modeling, Kafka, Spark, Airflow, streaming, data lakes, architecture. Asked at Google, Amazon, Meta.
Topics Covered
Modules (6)
DE Cloud Projects
10 Lessons
Advanced
10 production-grade DE projects β real-time pipelines, data lakehouses, CDC, feature stores, data mesh. Complete code, Terraform, cost analysis.
Topics Covered
Modules (6)
AI/ML Projects
10 Lessons
Advanced
10 production AI/ML projects β RAG pipelines, LLM fine-tuning, recommendation systems, computer vision, MLOps. PyTorch, Docker, Kubernetes, MLflow.
Topics Covered
Modules (5)
ML System Design
10 Lessons
Advanced
10 ML system design interview questions β recommendation systems, fraud detection, search ranking, ad CTR, content moderation. Full architecture & scale analysis.
Topics Covered
Modules (5)
Cloud Architecture
20 Lessons
Advanced
20 cloud design patterns β serverless, microservices, event-driven, CQRS, Kubernetes, API gateway, service mesh, disaster recovery.
Topics Covered
Modules (6)
Kafka Interview Q&A
15 Lessons
Advanced
15 deep-dive Kafka interview questions β partitioning, replication, exactly-once, Streams, Connect, Schema Registry. Asked at LinkedIn, Uber, Netflix.
Topics Covered
Modules (6)
Spark Interview Q&A
15 Lessons
Advanced
15 deep-dive Spark interview questions β architecture, memory, shuffle, streaming, Delta Lake, ML pipelines. Asked at Databricks, Netflix, Uber.
Topics Covered
Modules (6)
Python Interview Q&A
20 Lessons
Advanced
20 deep-dive Python interview questions β data structures, OOP, generators, decorators, async, design patterns. Asked at Google, Meta, Amazon.
Topics Covered
Modules (6)
Advanced SQL Q&A
20 Lessons
Advanced
20 advanced SQL lessons β recursive CTEs, PIVOT, JSON processing, gap-island, indexing strategies, query optimization. Asked at Google, Amazon, Meta.
Topics Covered
Modules (6)
MLOps Pipeline Q&A
15 Lessons
Advanced
15 deep-dive MLOps questions β experiment tracking, model registry, CI/CD for ML, monitoring, A/B testing, model serving. Asked at Google, Meta, Netflix.
Topics Covered
Modules (6)
Recommended Learning Paths
Not sure where to start? Follow these curated paths based on your goals.
Web Developer
180 lessons
- 1HTML & CSS (80 lessons)
- 2React.js (50 lessons)
- 3Next.js (50 lessons)
Python Developer
130+ lessons
- 1Python Basics (130 lessons)
- 2Web Development
- 3Database Access
Security Engineer
60 lessons
- 1Cybersecurity Fundamentals
- 2Network Security
- 3Cryptography
- 4Pen Testing
Web3 Developer
20 lessons
- 1Blockchain Fundamentals
- 2Smart Contracts
- 3DeFi
- 4NFTs & DAOs
Data Scientist
227+ lessons
- 1Data Science (87)
- 2Machine Learning (85)
- 3Deep Learning (55)
- 4DS Interview Premium
Data Engineer
175+ lessons
- 1Data Engineering (55)
- 2PySpark (40)
- 3Airflow (30)
- 4Snowflake (50)
- 5DE Interview Premium
ML Engineer
295+ lessons
- 1Machine Learning (85)
- 2Deep Learning (55)
- 3LLM (155)
- 4ML Interview Premium
Cloud Data Engineer
260 lessons
- 1AWS Data Eng (65)
- 2GCP Data Eng (65)
- 3Azure Data Eng (65)
- 4Cloud Architecture Premium
Full Stack Developer
310+ lessons
- 1HTML & CSS
- 2React.js
- 3Next.js
- 4Python
- 5Cybersecurity Basics
Ready to Start Learning?
Pick any course and start immediately. No signup, no paywall, no restrictions.