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Student / Career Switcher Roadmap

You're starting fresh and want a solid foundation

Comprehensive foundation covering math, coding, ML, LLMs, and AI agents.

The route

  1. Week 1 - Python for ML: Python is THE language of ML - master it from basics to scikit-learn
  2. Week 2 - Jupyter & Colab: Your interactive coding environment for all ML experiments
  3. Week 3 - Foundations: The maths notation you need to read everything that follows
  4. Week 4 - Statistics: Statistical thinking sets you apart - hypothesis testing, confidence intervals
  5. Week 6 - ML Algorithms: The most interview-heavy track - master regression, trees, and evaluation
  6. Week 8 - ML Pipeline: Show you can build end-to-end - from data to deployed model
  7. Week 9 - SQL for Data: SQL is asked in every data role interview - SELECT, JOINs, aggregation, and window functions
  8. Week 10 - Git & Version Control: Every job requires Git - push projects to GitHub, collaborate, and track your work
  9. Week 11 - Linear Algebra: Vectors, matrices, transformations - the machinery under the models you just built
  10. Week 12 - Probability Theory: Probability is a top interview topic - Bayes, distributions, expected value
  11. Week 13 - Calculus: Derivatives and gradients - understand how models optimize
  12. Week 13 - Optimization: Gradient descent and learning rates - the engine of model training
  13. Week 14 - Information Theory: Entropy and cross-entropy - the loss functions behind every classifier you train
  14. Week 15 - Deep Learning: Neural networks and transformers - increasingly expected in interviews
  15. Week 16 - LLM: LLM fundamentals, prompting, RAG, fine-tuning, and security - expected in modern AI roles
  16. Week 17 - Agentic AI & Multi-Agent Systems: AI agents are the top hiring signal - tool use, frameworks, and safety
  17. Week 18 - Software Engineering for AI: Clean code, testing, and project structure set you apart from other candidates
  18. Week 18 - MLOps & Deployment: Docker and deployment basics show you can ship, not just prototype
  19. Week 19 - AI Tools: AI coding tools accelerate your learning and make you productive from day one
  20. Week 19 - AI on Cloud: Cloud GenAI exposure - Bedrock, Vertex AI, Azure OpenAI - shows recruiters you can ship beyond local prototypes
  21. Week 20 - Interview Q&A: Scenario-based interview prep - production problems that AI companies actually ask
  22. Week 20 - AI System Design: The interview you are least likely to have practised. Leave it until the LLM track is behind you, then it becomes the highest-leverage round to rehearse