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Roadmap by Chatgpt

The document outlines a detailed 4-year roadmap for mastering programming and AI/ML, structured into yearly goals and month-wise tasks. Year 1 focuses on foundational programming and computer science basics, Year 2 introduces core CS subjects and AI/ML fundamentals, Year 3 emphasizes specialization and real-world projects, and Year 4 prepares for job placements and freelancing. Additional resources, networking strategies, and tools for tracking progress are also provided.

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manangrewal58642
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0% found this document useful (0 votes)
20 views4 pages

Roadmap by Chatgpt

The document outlines a detailed 4-year roadmap for mastering programming and AI/ML, structured into yearly goals and month-wise tasks. Year 1 focuses on foundational programming and computer science basics, Year 2 introduces core CS subjects and AI/ML fundamentals, Year 3 emphasizes specialization and real-world projects, and Year 4 prepares for job placements and freelancing. Additional resources, networking strategies, and tools for tracking progress are also provided.

Uploaded by

manangrewal58642
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Detailed and optimized 4-year roadmap

OVERALL STRATEGY
1.​ Year 1: Build a strong foundation in programming, problem-solving, and computer
science basics.
2.​ Year 2: Deep dive into core CS subjects + start AI/ML basics + build mini projects.
3.​ Year 3: Specialize in AI/ML + build serious projects + internships + open-source
contributions.
4.​ Year 4: Placement, interviews, advanced projects, hackathons, resume & LinkedIn
boost.

YEAR-WISE & MONTH-WISE ROADMAP


Year 1: (Foundation Year)

Goal: Master programming fundamentals and logical thinking.

Months 1–3: Basic Setup & Programming Start

●​ Learn Programming: Start with Python


○​ Free: W3Schools Python, freeCodeCamp
○​ Paid: [Udemy - Python Bootcamp by Colt Steele]
●​ Tools: Git, GitHub, VS Code, Google Colab
●​ Practice Platform: HackerRank, LeetCode
●​ Mini Projects: Calculator, To-do app, Rock-paper-scissors

Months 4–6: Data Structures & Algorithms (DSA)

●​ Learn Arrays, Strings, Linked List, Stack, Queue


●​ Free: [Abdul Bari YouTube], [GeeksforGeeks Basics]
●​ Platform: [CodeStudio (Coding Ninjas)], [Striver's DSA Sheet]
●​ Start Competitive Coding: 2 problems/day on LeetCode or GFG

Months 7–9: Web Development Basics

●​ Frontend: HTML, CSS, JS (freeCodeCamp)


●​ Backend: Flask or Django basics (for AI projects later)
●​ Build: Portfolio Website, Resume Page

Months 10–12: Start CS Basics

●​ OS (Operating System), DBMS (MySQL), CN (Computer Networks)


●​ Resources: Neso Academy (YouTube), GateSmashers
Year 2: (Core + AI/ML Entry)

Goal: Learn core CS subjects + introduce AI/ML with math foundation

Months 1–3: Advanced DSA + DBMS Projects

●​ Practice medium-level DSA on LeetCode


●​ Build: Library Management System with MySQL + Python
●​ Resume Tip: Create GitHub README with project demo

Months 4–6: Math for AI

●​ Linear Algebra, Probability, Statistics, Calculus


●​ Free: Khan Academy, MIT OpenCourseWare
●​ Paid: [Mathematics for ML - Coursera]

Months 7–9: Intro to AI/ML

●​ Course: [Andrew Ng’s ML Course - Coursera (Free)]


●​ Concepts: Supervised, Unsupervised, Regression, Classification
●​ Tools: NumPy, Pandas, Matplotlib, Scikit-learn
●​ Projects: House Price Predictor, Iris Classification, Spam Email Detector

Months 10–12: Start Kaggle

●​ Create a Kaggle account


●​ Participate in beginner-level competitions
●​ Build your first ML Portfolio notebook

Year 3: (Specialization + Real-World Projects)

Goal: Deep AI/ML + internships + open-source + resume building

Months 1–3: Deep Learning Start

●​ Course: [Deep Learning Specialization - Coursera]


●​ Learn: ANN, CNN, RNN, LSTM, NLP Basics
●​ Tools: TensorFlow or PyTorch

Months 4–6: NLP & Computer Vision

●​ Projects: Chatbot, Image Classification App, Fake News Detection


●​ Use pre-trained models like BERT, ResNet

Months 7–9: Build Internship Profile


●​ Create Portfolio Website (React + GitHub Pages)
●​ Create Resume on Overleaf
●​ Apply on: Internshala, LinkedIn, HackerEarth, AngelList, AICTE Internships

Months 10–12: Open Source & Community

●​ Participate in: GSSoC, Hacktoberfest, MLH


●​ Join: Google Developers Student Clubs (DSC), Kaggle Discussions, AI Clubs

Year 4: (Placement + Freelance + Final Projects)

Goal: Product-based job, internships, or freelance income

Months 1–3: Resume Finalization + Interview Prep

●​ Finalize 3–4 AI/ML projects


●​ DSA (revise whole Striver sheet)
●​ Interview platforms: [InterviewBit], [Scaler Free Mock Interviews]

Months 4–6: Product-based Company Prep

●​ System Design Basics (YouTube: Gaurav Sen)


●​ Solve 150+ LeetCode Questions (Medium + Hard)
●​ Resume: ATS-friendly (use Rezi)

Months 7–12: Job Applications + Freelancing (if needed)

●​ Apply via: LinkedIn, Naukri, Internshala, Turing, Toptal


●​ Freelance: Fiverr, Upwork (AI-based gigs)
●​ Attend Hiring Challenges: TCS Codevita, Flipkart GRiD, Amazon Hackathons

Certifications to Pursue (Anytime in Year 2–3)

Networking Strategy
●​ LinkedIn: 2 posts/month about your progress or projects
●​ GitHub: Public repos, proper commits, pinned projects
●​ Hackathons: Participate in 2 per year
●​ Contribute: To 1 open-source project per year
●​ Follow: Top AI/ML creators (e.g., Daniel Bourke, Andrew Ng)
Free Tools to Maintain
●​ Notion Template: Weekly Goal Tracker + Resume Section
●​ Google Sheets: Skill Tracker + Course Planner
●​ Google Drive: Store Certificates, Projects, Resume

Coming Next:
1.​ PDF with full roadmap
2.​ Notion Template
3.​ Google Sheet Skill Tracker
4.​ Calendar View (Month-wise Planner)

Shall I start creating these for you one-by-one?

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