Python · SQL · Web Dev · Java · AI/ML tracks launching soon — your one platform for all of IT
Python · SQL · Web Dev · Java · AI/ML tracks launching soon — your one platform for all of IT

Built for every engineer · Every role · Every goal

One Platform.
Every IT Skill.
Every Career.

Become a Data Engineer

Structured, real-world learning for every branch of tech — with the errors explained, the job context shown, and a clear path from where you are to where you want to be.

Explore All Tracks →Career Salary ExplorerWhy We're Different
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Tutorials
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Projects & Growing
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IT Tracks
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Job Roles Covered
PythonAzure ADFReactSQLDockerMachine LearningAWS GlueJavaScriptKubernetesDatabricksSpring BootApache KafkaTypeScriptdbtPostgreSQLSystem DesignNode.jsApache SparkGitTensorFlowRedisLinuxTerraformBigQueryGo LangLangChainFlutterSeleniumPower BIPrompt EngineeringPythonAzure ADFReactSQLDockerMachine LearningAWS GlueJavaScriptKubernetesDatabricksSpring BootApache KafkaTypeScriptdbtPostgreSQLSystem DesignNode.jsApache SparkGitTensorFlowRedisLinuxTerraformBigQueryGo LangLangChainFlutterSeleniumPower BIPrompt Engineering

// The honest truth

Every other platform has the
same blind spot.

We studied 10 platforms and their real student complaints. Here's every failure — and how we built around each one.

❌ What every other platform does
  • Teaches syntax. Never teaches what to do when it breaks.
  • No connection between tutorials and real job requirements.
  • 2019 content ranking #1 on Google — no version warning.
  • Aggressive login popups and modal walls mid-reading.
  • 40-hour video courses with no structured job outcome.
  • Tutorial hell — finish 50 pages, still can't build anything.
  • No real job context — just theory with no connection to actual JDs.
  • Generic salary data — not filtered by role, country, or experience.
  • AI era completely ignored — no Copilot, GenAI, LLM workflows.
  • No visual path — students don't know what to learn next.
✓ What Chaduvuko does differently
  • Every project has an "Errors You'll Hit" section with real fixes.
  • "What This Looks Like at Work" — your real day-1 task at a job.
  • "Last Verified" badge — every tutorial shows tested version & date.
  • No popups. No login walls. Read any tutorial, anytime, always.
  • 5-minute micro-lessons — learn on your phone in any gap.
  • End-to-end projects you put on your resume from day one.
  • US + global salary data — filtered by role, country, and experience.
  • Big Tech prep: Google, Amazon, Meta, Stripe, FAANG-level interviews.
  • AI-era track — Prompt Eng, RAG, LangChain, GitHub Copilot.
  • Visual skill roadmap — what to learn, in what order, why.

// Choose your track

Every IT discipline.
One structured platform.

54+ tracks across every branch of tech. Every track is sequenced from zero to job-ready with real projects and interview prep built in.

🗄️Live
SQL & Databases
The one skill every tech role needs
JOINsWindow FunctionsIndexesCTEs
Data Analyst · Backend Dev · DBA
🤖Live
AI & Machine Learning
Math → Classical ML → Deep Learning → GenAI → MLOps. One complete path from zero.
Classical MLDeep LearningNLPGenerative AIMLOps
ML Engineer · Data Scientist · AI Engineer
📁Live
Data Engineering
From zero to production-grade DE — no cloud required
PipelinesSQLPythonBatchStreaming
Data Engineer · Analytics Engineer
☁️Live
Azure Track
Full Azure cloud engineering track
ADFDatabricksSparkdbtKafka
Data Engineer · Analytics Engineer
🌩️Live
Microsoft Azure
Full Azure cloud service track
ADLS Gen2ADFSynapseFabric
Cloud Engineer · Azure Developer
🧮Live
Data Structures & Algorithms
Crack every technical coding round
ArraysTreesGraphsDynamic Programming
Big Tech · FAANG · Product Companies
💾Live
DBMS
Database theory and design fundamentals
ER DiagramsNormalizationACIDTransactions
DBA · Backend Dev · Technical Interviews
🟠Soon
Amazon Web Services
S3, Glue, Redshift, Kinesis, Lambda
S3GlueRedshiftLambda
AWS Developer · Cloud Engineer
🔵Soon
Google Cloud Platform
BigQuery, Dataflow, Pub/Sub, Composer
BigQueryDataflowComposer
GCP Engineer · Data Engineer
📊Soon
Power BI & Tableau
Dashboards, DAX, data storytelling
Power BITableauDAXReports
BI Developer · Data Analyst
🧠Live
Deep Learning
Neural networks, CNNs, RNNs, Transformers — part of the AI & ML track
TensorFlowPyTorchBackpropTransformers
DL Engineer · AI Researcher
Live
Generative AI / LLMs
GANs, Diffusion, LLMs, RAG, Agents — part of the AI & ML track
LangChainOpenAIRAGHuggingFace
GenAI Developer · AI Engineer
📈Soon
Data Science
Analysis, modelling, storytelling
PandasMatplotlibStatsEDA
Data Scientist · Analytics Consultant
🔍Soon
MLOps
Deploy and monitor ML in production
MLflowDockerKubeflowCI/CD
MLOps Engineer · ML Platform Eng
🐍Soon
Python
Zero to production Python
BasicsOOPFastAPITestingAsync
Backend Dev · ML Engineer · Data Analyst
Soon
Java
Core Java to Spring Boot microservices
OOPCollectionsSpring BootJPA
Java Dev · Backend Engineer

// The Chaduvuko method

Three things no other
platform does.

Direct fixes to the three biggest reasons students give up or fail interviews.

Unique — nowhere else
🩺

Error Library

Every project page has an "Errors You'll Hit" section — the actual error message, exactly why it happens, and the precise fix. 80% of real engineering is debugging. No other platform prepares you for it.

PipelineRunFailed: Copy_Store_Sales
Source file not found in landing zone
 
→ Why: Date format in expression
uses "yyyy-MM-dd" but file has "yyyyMMdd"
→ Fix: Change @formatDateTime format
to "yyyyMMdd" (remove hyphens)
Unique — nowhere else
💼

What This Looks Like at Work

Every concept ends with real job context — the actual Slack message your manager sends on day 1, the job posting that requires this skill, and what a senior engineer's code review would say.

Real task — DoorDash Data Engineering:
"Build a daily ingestion pipeline
from S3 landing zone to Snowflake,
partitioned by market + order date."
 
→ This exact tutorial covers it.
Unique — nowhere else
📅

Last Verified Badge

Every tutorial shows when it was last tested against the real tool version. GFG has Python 2 articles from 2019 ranking on Google with zero warning. That will never happen here.

✓ Last verified: March 2026
✓ Tested on: ADF v2 · Python 3.12
✓ Status: All steps confirmed working
 
⚑ Flag something broken? →
Submit a correction in one click

// Day 1 at work

This is what you'll
actually be asked to do.

Real tasks from real job descriptions at top US tech companies. Every tutorial connects to one of these.

Data Engineer
Stripe · San Francisco · $145K–$185K

Build an automated daily pipeline ingesting 50M transaction events from S3 into Snowflake, partitioned by region and date, available for analysts by 7am ET.

ADF + ADLS + Databricks track
Backend Developer
DoorDash · Seattle · $150K–$195K

Design a REST API in Python FastAPI for our merchant analytics dashboard — handle 80k requests/min, write unit tests, deploy on AWS Lambda behind API Gateway.

Python + AWS track
ML Engineer
Airbnb · San Francisco · $165K–$220K

Train a listing recommendation model on 6 months of search history using two-tower embeddings, evaluate with NDCG@10, deploy via SageMaker real-time endpoint.

Python + ML + AWS track
Full Stack Developer
Netflix · Los Gatos · $160K–$210K

Build the A/B test results dashboard in React — fetch experiment data from our Node.js API, add real-time updates via Server-Sent Events, write Playwright E2E tests.

React + Node.js + TypeScript track
DevOps Engineer
Cloudflare · Austin · $140K–$180K

Migrate 60 microservices to Kubernetes on EKS, write Terraform for all infra, set up ArgoCD for a full GitOps deployment pipeline with automated rollback.

Docker + Kubernetes + DevOps track
GenAI Developer
Cohere · Remote · $175K–$235K

Build a RAG-based enterprise knowledge assistant using LangChain, Cohere embeddings, and Pinecone vector store — sub-2-second P95 latency requirement.

Python + GenAI + Databases track

// Real world projects

Build. Don't just read.

End-to-end projects with full code, architecture diagrams, error walkthroughs, and “What This Looks Like at Work” context. More being added continuously across all tracks.

🚀Every project includes the Error Library, real job context, and a GitHub repo. More projects across every track are being added — check back often.
AZURE PROJECT 01
Copy a CSV File to Azure Data Lake
Your first ADF pipeline from scratch. Includes the 3 errors every beginner hits and the exact fix for each one.
ADFADLS Gen2Blob Storage
Live · Includes Error Library
AZURE PROJECT 02
ForEach Loop — 10 Files, 1 Pipeline
Stop building 10 copy activities. One parameterized ForEach loop moves all store files efficiently.
ForEachParametersADF
Live · Includes Error Library
AZURE PROJECT 03
Parameterized Pipeline with Run Date
Pass a date at runtime, ADF builds filenames automatically. Add a midnight trigger and it runs without you.
TriggersExpressionsDate Partition
Live · Includes Error Library
AZURE PROJECT 04
HTTP Ingestion from a Public URL
Pull data from a public HTTPS endpoint into ADLS. No manual uploads — ADF fetches from the internet directly.
HTTPWeb ActivityADLS
Live · Includes Error Library
AZURE PROJECT 05
Organise Files With Date Stamps
Check existence, add date stamps, auto-clean landing zone, log missing files — a full production workflow.
Get MetadataIf ConditionDelete
Live · Includes Error Library
MORE COMING
Across All Tracks
Python, SQL, Web Dev, ML, DevOps projects are being built. Every one will include the Error Library and real job context.
PythonSQLReactMLDevOps

// Career salary explorer

Real 2026 US salary data.
Your filters. Your career.

Filter by role, city, experience, and company type. Data sourced from LinkedIn, Glassdoor, Levels.fyi, and BLS OES — updated April 2026.

Job Role
City / Region
Experience
Company Type
Estimated Salary Range
$203K
Range: $176K – $236K / year
Very High Demand+22% YoY
Key skills that boost salary
Apache SparkDatabricksdbtSQLPythonKafkaIcebergAzure/AWS
Sources: LinkedIn, Glassdoor, Levels.fyi, BLS OES · April 2026 · Data Engineer
Top Companies Hiring
StripeDoorDashAirbnbDatabricksSnowflakePalantirLyftRobinhood
Salary by experience level (this city & company type)
Entry-level (0–2yr)$122K–$176K
Mid-level (3–5yr)$176K–$236K
Senior (6–10yr)$209K–$290K
Lead / Architect (10yr+)$257K–$351K
Tracks that prepare you for this role
Data EngineeringPythonSQLAzureAWS

// Why Chaduvuko

Built by Asil.
For Engineers.

Every decision is made with one question: does this actually help the student get the job?

🩺
Error Library
Every project includes the real errors you'll hit — exact error messages, root cause, and fix. No other platform prepares you for debugging.
🛠️
Real Projects, Real Code
Not just theory. Working code on Azure, AWS, GCP, or real web infrastructure. Put it on your resume from day one.
🎯
Job-Market Focused
Content curated based on what companies are actively hiring for right now — mapped to real job descriptions, not five-year-old syllabi.
📅
Always Verified
Every page carries a "Last Verified" badge showing the tool version and test date. Stale content is flagged and fixed.
🧭
Structured Learning Path
Visual skill roadmaps per track — what to learn, in what order, and which job role it leads to. No more random rabbit holes.
🌍
Global Career Data
US + worldwide salary data by role and country. Big Tech prep, FAANG-level interview guides, and real job descriptions from top companies.

Start where you are.
Get where you want.

Pick a track. Follow the path. Build the project. Get the job. Built by Asil.

No login required to read any tutorial
No popup interruptions
Error library on every project
Global salary data built in
Built by Asil
Explore All Tracks →