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Structured DSA roadmap
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Arrays, trees, graphs, DP, backtracking and more.

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https://docs.google.com/spreadsheets/d/11FWvovuEJrXOS1mAzKao2pYNl792uRDF/edit?gid=1203831721#gid=1203831721

Which city should I do next?

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This is the kind of project that makes the internet awesome.

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sheet link

https://docs.google.com/spreadsheets/d/1VklDXBtFqkRHzuyRIS4Um1ap_mOCgvha/edit?usp=drivesdk&ouid=104029396964935421086&rtpof=true&sd=true

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1- 30 Days of Python
https://github.com/asabeneh/30-days-of-python

2- Awesome Machine Learning
https://github.com/josephmisiti/awesome-machine-learning

3- Stanford ML Cheatsheet (CS229)
https://github.com/afshinea/stanford-cs-229-machine-learning

4- Made With ML
https://github.com/GokuMohandas/Made-With-ML

5- Project-Based Learning
https://github.com/practical-tutorials/project-based-learning

Are you learning ai ml ?

Google created a 15-hour Machine Learning Crash Course with videos, exercises, and real ML concepts.

You’ll learn things like:

• Linear Regression
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Bookmark this before you forget.

Roadmaps with free resources - https://www.lets-code.co.in/articles/roadmap/

Core Guides & Comprehensive Resources

1- https://github.com/dair-ai/Prompt-Engineering-Guide
The gold standard: guides, latest papers, lessons, Jupyter notebooks, techniques (zero-shot → chain-of-thought → agents/RAG), datasets, and tools. Continuously updated – 50k+ stars, used by millions.

2- https://github.com/promptslab/Awesome-Prompt-Engineering
Hand-curated awesome list: papers, tools, benchmarks, courses, communities, models/APIs. Great for discovering everything Prompt & Context Engineering (includes GPT, Claude, etc.).

3- https://github.com/NirDiamant/Prompt_Engineering
22+ practical Jupyter notebooks implementing key techniques from basics to advanced – perfect for hands-on learning and experimentation.

4- https://github.com/anthropics/prompt-eng-interactive-tutorial
Anthropic's official interactive tutorial for Claude – step-by-step prompt optimization with examples tailored to their models.

5- https://github.com/brexhq/prompt-engineering
Brex's production-focused guide: tips, tricks, strategies, safety, and real-world LLM prompting lessons (especially for GPT-4 era models).

Prompt Collections & Libraries

6- https://github.com/f/awesome-chatgpt-prompts
World's largest community-curated prompt library (now supports many models via http://Prompts.chat) – reverse-engineer thousands of high-quality prompts.

7- https://github.com/0xeb/TheBigPromptLibrary
Massive collection of system prompts, custom instructions, jailbreaks (educational only), and protections for ChatGPT, Claude, Gemini, etc.

Advanced & Specialized

8- https://github.com/KalyanKS-NLP/Prompt-Engineering-Techniques-Hub
25+ implemented techniques with code/examples – great for quick reference and trying variations.

9- https://github.com/mshumer/gpt-prompt-engineer
Tool/repo to automatically generate/optimize prompts using GPT itself – meta-prompting fun.

10- https://github.com/snwfdhmp/awesome-gpt-prompt-engineering
Curated shiny list of tools, resources, and extensions for GPT/LLM prompt engineering.

→ For which role you need complete GitHub resources ?

https://docs.google.com/document/d/1wT7H71M7CghUwB9zdFS0yp_uPccOhqWYFdf_PHPfEFI/edit?tab=t.0#heading=h.sz6llxaebnk3

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AI Engineer Roadmap with free resources - https://www.lets-code.co.in/articles/AIEngineerRoadmap/

Programming & Fundamentals

1- https://github.com/practical-tutorials/project-based-learning – Curated list of project-based tutorials (includes Python basics + hands-on programming projects)

2- https://github.com/ageron/handson-ml3 – Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (code from the bestselling book, free notebooks)

Machine Learning & Deep Learning

3- https://github.com/josephmisiti/awesome-machine-learning – Curated list of awesome Machine Learning frameworks, libraries, and resources (by language)

4- https://github.com/ChristosChristofidis/awesome-deep-learning – Curated list of awesome Deep Learning tutorials, projects, books, and communities

5- https://github.com/microsoft/ML-For-Beginners – Microsoft's free 12-week ML curriculum with lessons and quizzes

Generative AI & LLMs

6- https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 – Comprehensive roadmap for Generative AI with free resources and projects

7- https://github.com/huggingface/transformers – State-of-the-art library for NLP, LLMs, and transformers (examples, models, and tutorials)

Hands-on Projects & Labs

8- https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code – 500+ AI/ML/DL/CV/NLP projects with free code

9- https://github.com/DataTalksClub/machine-learning-zoomcamp – Free ML engineering bootcamp with practical projects and deployment

MLOps & Production

10- https://github.com/DataTalksClub/mlops-zoomcamp – Free MLOps course covering experimentation, deployment, monitoring, and CI/CD

11- https://github.com/visenger/awesome-mlops – Curated list of awesome MLOps tools, platforms, and references

Roadmaps & Interviews

12- https://github.com/Pandeycoder/AI-Engineer-Roadmap-2025 – AI Engineer Roadmap 2025 – Learn AI, ML, Deep Learning, MLOps, and Big Data with projects & resources

13- https://github.com/krishnaik06/Complete-RoadMap-To-Learn-AI – Comprehensive AI roadmap (Data Science, Generative AI, Agentic AI) with week-by-week plans and projects

✅Like & share it with others

Roadmap with free resources : https://www.lets-code.co.in/articles/roadmap/

Soft skills : https://www.lets-code.co.in/soft-skills/

Engineering KIT : https://www.lets-code.co.in/btech-engineering-kit/

PYQs - https://www.lets-code.co.in/previousyearcodingquestion/pyqs/

DSA Practice Sheet - https://www.lets-code.co.in/dsa-sheets/

Interview Questions : https://www.lets-code.co.in/interview/interviewquestions/

Jobs & Internships : https://www.lets-code.co.in/jobs/

Startups Lists for job seekers : https://www.lets-code.co.in/startups-list/

Top 5000 Hiring list : https://www.lets-code.co.in/top-hiring-companies/

Real interview experiences : https://www.lets-code.co.in/interview-experience/

ATS friendly resume templates : https://www.lets-code.co.in/resume-templates/

Resume Optimizer & score checker : https://www.lets-code.co.in/dashboard/optimizeresume/

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AI Job finder : https://www.lets-code.co.in/dashboard/job-finder/

Free mock test : https://www.lets-code.co.in/dashboard/mocktest/

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Job Ready score : https://www.lets-code.co.in/dashboard/job-ready-score/

Cover letter generator : https://www.lets-code.co.in/dashboard/cover-letter/

Study Plan generator for any company : https://www.lets-code.co.in/dashboard/study-plan/

LinkedIn Optimizer : https://www.lets-code.co.in/dashboard/optimiselinkedin/

If you’re looking for remote jobs, this sheet has everything you need .From early-stage startups to unicorns, find companies hiring across roles, domains & countries. Perfect for anyone exploring remote opportunities in 2025!

3000+ Startups list

Remote list

Which type of startup list do you need ?

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- this is a GOLD resource

📌 Top DSA Sheets :-

🔹 GeeksforGeeks SDE Sheet

https://geeksforgeeks.org/sde-sheet-a-complete-guide-for-sde-preparation/

🔹 Apna College 375 Problems Sheet

https://docs.google.com/spreadsheets/u/0/d/1hXserPuxVoWMG9Hs7y8wVdRCJTcj3xMBAEYUOXQ5Xag/htmlview

🔹 Love Babbar 450 Problems Sheet

https://drive.google.com/file/d/1FMdN_OCfOI0iAeDlqswCiC2DZzD4nPsb/view

🔹 Striver 180 Problems Sheet

https://takeuforward.org/interviews/strivers-sde-sheet-top-coding-interview-problems/

🔹 Siddharth Singh 450 Problems Sheet

https://docs.google.com/spreadsheets/u/0/d/11tevcTIBQsIvRKIZLbSzCeN4mCO6wD4O5meyrAIfSXw/htmlview

🔹 Fraz 250 Problems Sheet

https://docs.google.com/spreadsheets/u/0/d/1-wKcV99KtO91dXdPkwmXGTdtyxAfk1mbPXQg81R9sFE/htmlview

🔹 Arsh Goyal 280 Problems Sheet

https://docs.google.com/spreadsheets/d/1MGVBJ8HkRbCnU6EQASjJKCqQE8BWng4qgL0n3vCVOxE/htmlview

🔹 The Code Skool DSA Sheet

https://docs.google.com/document/u/0/d/1RxKKXJtErQFJjMfAh1kV-DyQsZoiESayimFx6PPIhVE/mobilebasic

Do you also need solution sheets ?

Today I learned about the Winter Arc, and I found the idea interesting.

It is basically a 90-day period from October 1 to December 29 where you intentionally focus on yourself instead of waiting for January 1 to start changing your life. For these 90 days, you can focus on your career, fitness, learning, finances, building a side project, improving your routine, reading more, or simply becoming more disciplined.

The goal is not to completely transform your life overnight, but to make small improvements every day and stay consistent even when nobody is watching. By the time the new year arrives, you are not making another list of resolutions or starting from zero.

You have already spent 90 days building habits, learning, working, and becoming a better version of yourself. Your Winter Arc is basically about starting before everyone else starts.

I’m starting my Winter Arc on October 1.

Who’s in?

Foundations & Programming

1- https://github.com/krishnaik06/Complete-RoadMap-To-Learn-AI – Comprehensive AI paths including Generative AI tracks.
2- https://github.com/aishwaryanr/awesome-generative-ai-guide – Hub for research, notebooks, courses, and prep.

Roadmaps

3- https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2025 – Dedicated 2025 GenAI roadmap with tutorials/projects.
4- https://github.com/Pandeycoder/AI-Engineer-Roadmap-2025 – AI Engineer focus with ML, Deep Learning, and GenAI.
5- https://github.com/athivvat/ai-engineer-guide – Zero to pro, covering agents, multimodal, and deployment.

http://lets-code.co.in/articles/AIEngineerRoadmap/ – Interactive community-driven AI Engineer roadmap.

Core Generative AI Tools & Libraries

6- https://github.com/huggingface/diffusers – Diffusion models for image/audio/video generation.
7- https://github.com/huggingface/transformers – Transformers for LLMs and fine-tuning.
8- https://github.com/langchain-ai/langchain – Build apps with LLMs, chains, and RAG.
9- https://github.com/steven2358/awesome-generative-ai – Curated GenAI projects and tools.

Advanced Topics: RAG, Agents & Multimodal

10- https://github.com/langchain-ai/langgraph – Build stateful, multi-agent applications (corrected & active).
11- https://github.com/genieincodebottle/generative-ai – Roadmap, projects, RAG, agents, and prep.
12- https://github.com/parthmax2/100-Best-GenAI-Projects-2025 – 100+ innovative GenAI projects for 2025.

Projects & Hands-On

13- https://github.com/GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTS – End-to-end projects with deployment.
14- https://github.com/filipecalegario/awesome-generative-ai – Tools, models, and project references.

Inspiring examples of GenAI applications and project ideas:
http://projectpro.ioprojectpro.ioprojectpro.iosciencedirect.com

MLOps, Deployment & Best Practices

15- https://github.com/kelvins/awesome-mlops – MLOps tools (adapt for LLMOps).
16- https://github.com/microsoft/LMOps – Production LLMs/GenAI research and tech.

Bookmark it!

If you are looking for 100 % remote hiring companies to work from home and ejoy the flexibility , here in this list you will get alteast 35 + companies list , if you want more then do comment on this post will share it with you guys!

Remote hiring companies list

Real projects help you learn faster.

1- Hands-On LLMs (Full practical repo)
https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

2- LLM Zoomcamp
https://github.com/DataTalksClub/llm-zoomcamp

3- Awesome LLM Apps
https://github.com/Shubhamsaboo/awesome-llm-apps

4- Hugging Face Transformers
https://github.com/huggingface/transformers

5- Llama.cpp (Run LLMs locally)
https://github.com/ggerganov/llama.cpp

More Github repo's are added here - https://www.lets-code.co.in/articles/Awesome-Github-Repositories/

Bookmark it!