Learn with purpose

Professional Cohorts

Build your technical and analytical skills through focused, industry-led learning. Find the curriculum that fits your next career move.

Four focused learning paths Learn with other professionals

Data Structures & Algorithms (DSA)

Master the fundamental building blocks of software engineering to ace technical interviews at top-tier tech companies.

What you'll learn

  • Big-O Complexity Analysis
  • Arrays, Strings & Hashmaps
  • Two Pointers & Sliding Window
  • Stack, Queue & Linked List
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  • Recursion & Backtracking
  • Binary Search Variants
  • Trees, Heaps & Graphs
  • Union-Find & Tries
  • Dynamic Programming & Greedy
  • Bit Manipulation & Interview Patterns
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System Design

Learn to design scalable, reliable, and maintainable systems for large-scale distributed applications.

What you'll learn

  • Functional & Non-functional Requirements
  • Capacity Planning & API Design
  • Data Modeling & Caching Strategies
  • Load Balancing & DB Indexing
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  • Replication & Sharding
  • Consistency Models (CAP Theorem)
  • Queues, Pub-Sub & Rate Limiting
  • Observability & Reliability Engineering
  • Security & Multi-region Architecture
  • Industry Standard Case Studies
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Data Analytics

Focus on modern analytics to transform data into actionable business value through mastery of tools and communication.

What you'll learn

  • SQL Mastery (Joins, Windows, CTEs)
  • Analytics Metrics (Funnels, Retention, LTV)
  • Dashboarding & KPI Design
  • Dimensional Modeling (Star Schema)
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  • ETL/ELT Concepts & Data Quality
  • A/B Testing Basics & Statistics
  • Segmentation & Anomaly Detection
  • Storytelling with Data
  • Stakeholder Communication
  • Business Case Study Workshops
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Machine Learning

A deep dive into building, deploying, and monitoring machine learning models using industry-standard ML pipelines.

What you'll learn

  • ML Fundamentals & Problem Framing
  • Data Preprocessing & Feature Engineering
  • Train/Validation/Test Splits & CV
  • Bias/Variance & Evaluation Metrics
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  • Linear, Logistic, Trees & Boosting
  • Clustering & Unsupervised Learning
  • Model Selection & Hyperparameter Tuning
  • Model Interpretability & Time Series
  • Deployment Patterns & Pipelines
  • Monitoring, Drift & Production Case Studies
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Your next step

Find your learning path.

Talk to us about a cohort, or start exploring free lessons today.