Learning Paths

Learn with practical depth

Every path now emphasizes complete workflows: data ingestion, EDA, preprocessing, feature engineering, algorithm selection, and implementation-ready examples.

Data Ingestion

EDA

Preprocessing + Features

Domains

Courses

Topics

Format

Projects + Videos + Code-first notes

AI & Machine Learning

3 courses available

Machine Learning Engineering

End-to-end ML pipelines: data ingestion, EDA, preprocessing, feature engineering, classical and deep learning algorithms — production-ready patterns used at top tech companies.

12 weeks6 topicsbeginner

Starts with

Data Ingestion & CollectionExploratory Data Analysis (EDA)Data Preprocessing & Feature Engineering

Deep Learning Engineering

CNNs, RNNs, Transformers, and modern training techniques — from theory to PyTorch production implementations used at leading AI labs.

12 weeks3 topicsintermediate

Starts with

PyTorch Fundamentals & Training LoopsConvolutional Neural Networks & Computer VisionTransformers & NLP

Generative AI Engineering

LLMs, RAG systems, AI agents, diffusion models, and fine-tuning — end-to-end production implementation used by leading AI companies.

10 weeks4 topicsintermediate

Starts with

LLM Architecture & Fine-tuningRAG Systems & Vector DatabasesAI Agents & Multi-Agent Systems

Full Stack Development

2 courses available

React & Next.js Engineering

Production-grade React with modern patterns, Next.js App Router, server components, streaming, and full-stack deployment used at Vercel, Shopify, and Netflix.

10 weeks3 topicsintermediate

Starts with

Advanced React PatternsNext.js App Router & Full-Stack PatternsTypeScript for Production Applications

Node.js Backend Engineering

Production Node.js: REST & GraphQL APIs, authentication, databases, caching, message queues, and observability — patterns from Stripe, GitHub, and Shopify.

10 weeks2 topicsintermediate

Starts with

REST API Design & ImplementationDatabases & Caching in Production

DevOps & Cloud

2 courses available

Docker & Kubernetes in Production

Container fundamentals to production-grade Kubernetes: GitOps, Helm, HPA, service mesh, and observability at scale.

10 weeks3 topicsintermediate

Starts with

Docker — Production Container PatternsKubernetes — Production Cluster OperationsObservability: Logs, Metrics, Traces

CI/CD & DevSecOps

GitHub Actions, security scanning, supply chain security, release automation, and developer experience tooling used at GitHub, Stripe, and Cloudflare.

6 weeks1 topicsintermediate

Starts with

GitHub Actions — Advanced CI/CD

Platform Engineering

1 courses available

Infrastructure as Code with Terraform

Production IaC with Terraform: modular architecture, state management, testing, multi-cloud, and Atlantis for GitOps workflow — patterns from HashiCorp and Airbnb.

8 weeks1 topicsintermediate

Starts with

Terraform — Production IaC Patterns