Roadmap Overview
This roadmap transforms 12 weeks of effort into career momentum through:
- Weeks 1-4: Foundation building (direction, CS basics, programming, DSA)
- Weeks 5-8: Modern tech skills (AI, backend, system design)
- Weeks 9-12: Career preparation (projects, portfolio, job search)
Each week builds on the previous, ensuring steady progress toward your target role.
Before learning anything, decide what you're learning for.
Tasks
- Research roles like AI Engineer, Backend, Full Stack, DevOps
- What do they actually do day-to-day?
- What skills show up repeatedly across job descriptions?
- Compare skill requirements + salary bands
- Not to chase money blindly, but to understand market demand
- Identify skill gaps honestly
- What you already know vs what the role expects
- Join 2-3 high-signal tech communities
- Think quality discussions, not spam or flex posts
Build
- Write a one-page career plan
- Role, target companies, timeline
- Define:
- Primary role
- Core tech stack
- Clear learning outcomes for 12 weeks
Goal
A clear career North Star so the next 11 weeks aren't random effort.
This week builds engineering intuition, not interview trivia.
Tasks
- How the internet works:
- DNS, HTTP, TCP at a conceptual level
- OS basics:
- Processes vs threads
- Memory management at a high level
- OOP and SOLID:
- Why they exist, not just definitions
- SQL fundamentals:
- Tables, keys, normalization
- Basic schema design thinking
Build
- Design a simple system on paper
- Example: login flow or todo app
- Write 10 SQL queries based on real use cases
Goal
Understand what's happening beneath your code.
Depth beats breadth here.
Tasks
- Choose one language (Python / Java / C++)
- Learn:
- Core data structures
- Functions, modules, error handling
- Focus on:
- Clean code
- Readability
- Basic linting and formatting
Build
- Solve 10 logic problems
- Write one reusable utility module
- Something you'd actually reuse
Goal
Stop fighting syntax. Start thinking in logic.
DSA is about thinking, not grinding numbers.
Tasks
- Arrays, strings, hashing
- Two pointers, sliding window
- Time and space complexity
- Learn to read and explain solutions
Build
- Solve 8-10 well-chosen problems
- Maintain a pattern notebook
- When to use what and why
Goal
Recognize patterns instead of brute forcing solutions.
AI is a tool. Use it deliberately.
Tasks
- LLM basics:
- Tokens, context windows, limitations
- Prompting:
- For debugging, refactoring, explanation
- Tools:
- ChatGPT, Copilot, Cursor
- API basics:
- Keys, requests, responses, environments
Build
- Use AI to refactor existing code
- Integrate one external API
Goal
Write better code with AI - not lazier code.
Enough theory to build something meaningful.
Tasks
- ML concepts:
- Supervised vs unsupervised
- NLP basics:
- Embeddings, similarity search
- GenAI flow:
- Prompt - model - response
- Vector databases:
- What they solve, not internals
Build
- Create a simple AI agent or feature
- Text-based is enough
Goal
Understand how AI systems work end to end.
This is where things start feeling real.
Tasks
- REST APIs and HTTP methods
- Authentication basics
- Database design + CRUD
- Error handling and logging
Build
- A backend service with a database
- Clear API documentation
Goal
Ship a working backend, not just folders and files.
Start reasoning like an engineer.
Tasks
- Client-server architecture
- Caching and load balancing
- Databases vs queues
- Bottlenecks and trade-offs
Build
- Design a URL shortener or feed system
- Create a simple architecture diagram
Goal
Explain why you designed it that way.
No more planning. Just ship.
Tasks
- Shortlist 2 realistic project ideas
- Build one end to end
- Use AI where it genuinely helps
- Deploy publicly
Build
- Live hosted project
- Clear README explaining:
- Decisions
- Trade-offs
- Learnings
Goal
One real project you can confidently talk about.
Good work unseen = no impact.
Tasks
- Simple, fast portfolio site
- Clear project breakdowns
- Mobile-friendly design
- Easy contact info
Build
- Live portfolio
- One detailed project case study
Goal
Make it easy for others to evaluate you.
Translate effort into opportunity.
Tasks
- Resume with impact and metrics
- Strong LinkedIn headline + About
- Share learnings publicly
- Reach out thoughtfully to people in your target role
Build
- Final resume
- 2 high-quality LinkedIn posts
Goal
Convert skills into visibility.
Close the loop.
Tasks
- Mock interviews (AI + peers)
- Revisit weak areas
- Apply selectively, not blindly
- Plan the next 12 weeks
Build
- Interview notes
- Application tracker
Goal
Start interviews with confidence and clarity.