1οΈβ£ Machine Learning Engineer π€ (ML + Deployment + MLOps)
GitHub: https://github.com/DataTalksClub/mlops-zoomcamp
Build an end-to-end ML system with feature engineering, model training, ML pipelines, experiment tracking, deployment and monitoring β perfect for ML interviews.
Stack: Python, Scikit-Learn, Airflow, Prefect, MLflow, Docker, FastAPI
βΈ»
2οΈβ£ Cybersecurity π (Pentesting + Red Team)
GitHub: https://github.com/OWASP/masvs
Mobile App Security Verification with vulnerability testing, secure coding and industry-accepted standards.
Stack: Security frameworks, pentesting tools, mobile app security
βΈ»
3οΈβ£ DevOps / SRE βοΈ (CI/CD + Kubernetes)
GitHub: https://github.com/kelseyhightower/kubernetes-the-hard-way
Manually deploy Kubernetes, set up networking, security and TLS like real SREs.
Stack: Kubernetes, GCP, Linux containers, networking, security π
GitHub: https://github.com/DataTalksClub/mlops-zoomcamp
Build an end-to-end ML system with feature engineering, model training, ML pipelines, experiment tracking, deployment and monitoring β perfect for ML interviews.
Stack: Python, Scikit-Learn, Airflow, Prefect, MLflow, Docker, FastAPI
βΈ»
2οΈβ£ Cybersecurity π (Pentesting + Red Team)
GitHub: https://github.com/OWASP/masvs
Mobile App Security Verification with vulnerability testing, secure coding and industry-accepted standards.
Stack: Security frameworks, pentesting tools, mobile app security
βΈ»
3οΈβ£ DevOps / SRE βοΈ (CI/CD + Kubernetes)
GitHub: https://github.com/kelseyhightower/kubernetes-the-hard-way
Manually deploy Kubernetes, set up networking, security and TLS like real SREs.
Stack: Kubernetes, GCP, Linux containers, networking, security π
GitHub
GitHub - DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club
Free MLOps course from DataTalks.Club. Contribute to DataTalksClub/mlops-zoomcamp development by creating an account on GitHub.
Top 80 SQL inteview questions βοΈπ
Make sure you revise these questions before attending any interview to increase your hiring chances π―
https://drive.google.com/file/d/131DaNVjKNegeyP_0K29E4O10EE43gN8O/view?usp=drivesdk
Make sure you revise these questions before attending any interview to increase your hiring chances π―
https://drive.google.com/file/d/131DaNVjKNegeyP_0K29E4O10EE43gN8O/view?usp=drivesdk
All companies placement material in single drive π
https://drive.google.com/drive/folders/1NC5wLHUMUye5_5zHzSgTgXDUdVmh43ZU
https://drive.google.com/drive/folders/1NC5wLHUMUye5_5zHzSgTgXDUdVmh43ZU
Top 10 FREE Certification
Must add in your resume π―βοΈ
https://docs.google.com/document/d/14FZlgWG0F-doPEJSCjpmznBn6uzypm0ddDSxPJzK0o8/mobilebasic
Must add in your resume π―βοΈ
https://docs.google.com/document/d/14FZlgWG0F-doPEJSCjpmznBn6uzypm0ddDSxPJzK0o8/mobilebasic
Google Docs
10 Free Certifications
Top 10 Free Certifications Prepared by Harsh Vijay (https://www.instagram.com/harshviijay) Microsoft AI & ML Engineering Professional Certificate - https://www.coursera.org/professional-certificates/microsoft-ai-and-ml-engineering Microsoft Product Designβ¦
Become Ai Engineer in 2026 π₯
( 30 - 40 LPA )
π Follow this roadmap to crack any 30β40 LPA AI role as a fresher
π Month 1 β Python + Problem Solving
Learn syntax, OOPs & practice small coding challenges
π Month 2 β Core Math for AI
Statistics, Probability & Linear Algebra + hands-on with NumPy & Pandas
π Month 3 β Data Visualization & ML Basics
Matplotlib, Seaborn, Scikit-learn β regression, classification, clustering
π Month 4 β Deep Learning Foundations
Neural Networks, CNNs, RNNs | TensorFlow / PyTorch
π Month 5 β Projects that stand out
Fraud Detection, Movie Recommender, AI Chatbot, Image Classifier
π Month 6 β Build Your Personal Brand
GitHub profile, LinkedIn for AI jobs, portfolio website + tools like LangChain, HuggingFace, Streamlit/Gradio
π‘ Consistency > Perfection. Start now and grow every day.
π Python + OOPs β https://www.youtube.com/watch?v=rfscVS0vtbw
π Maths for AI (Linear Algebra) β https://www.khanacademy.org/math/linear-algebra
π Probability & Stats β https://www.khanacademy.org/math/statistics-probability
π ML Basics (Andrew Ng β Coursera Free) β https://www.coursera.org/learn/machine-learning
π Deep Learning (DeepLearning.ai Specialization) β https://www.coursera.org/specializations/deep-learning
π TensorFlow Tutorials β https://www.tensorflow.org/tutorials
π PyTorch Tutorials β https://pytorch.org/tutorials/
π Projects & Datasets β https://www.kaggle.com/datasets
π οΈ Bonus Tools:
Google Colab β https://colab.research.google.com/
GitHub β https://github.com/
Streamlit β https://streamlit.io/
Gradio β https://www.gradio.app/
( 30 - 40 LPA )
π Follow this roadmap to crack any 30β40 LPA AI role as a fresher
π Month 1 β Python + Problem Solving
Learn syntax, OOPs & practice small coding challenges
π Month 2 β Core Math for AI
Statistics, Probability & Linear Algebra + hands-on with NumPy & Pandas
π Month 3 β Data Visualization & ML Basics
Matplotlib, Seaborn, Scikit-learn β regression, classification, clustering
π Month 4 β Deep Learning Foundations
Neural Networks, CNNs, RNNs | TensorFlow / PyTorch
π Month 5 β Projects that stand out
Fraud Detection, Movie Recommender, AI Chatbot, Image Classifier
π Month 6 β Build Your Personal Brand
GitHub profile, LinkedIn for AI jobs, portfolio website + tools like LangChain, HuggingFace, Streamlit/Gradio
π‘ Consistency > Perfection. Start now and grow every day.
π Python + OOPs β https://www.youtube.com/watch?v=rfscVS0vtbw
π Maths for AI (Linear Algebra) β https://www.khanacademy.org/math/linear-algebra
π Probability & Stats β https://www.khanacademy.org/math/statistics-probability
π ML Basics (Andrew Ng β Coursera Free) β https://www.coursera.org/learn/machine-learning
π Deep Learning (DeepLearning.ai Specialization) β https://www.coursera.org/specializations/deep-learning
π TensorFlow Tutorials β https://www.tensorflow.org/tutorials
π PyTorch Tutorials β https://pytorch.org/tutorials/
π Projects & Datasets β https://www.kaggle.com/datasets
π οΈ Bonus Tools:
Google Colab β https://colab.research.google.com/
GitHub β https://github.com/
Streamlit β https://streamlit.io/
Gradio β https://www.gradio.app/
YouTube
Learn Python - Full Course for Beginners [Tutorial]
This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time!
Click the βοΈ to change to a dub track in Spanish, Arabic, or Portuguese, or Hindi.
(Hindi dubbedβ¦
Click the βοΈ to change to a dub track in Spanish, Arabic, or Portuguese, or Hindi.
(Hindi dubbedβ¦
β€1
One Drive for Full Stack Data Science βοΈπ₯
https://drive.google.com/drive/u/0/mobile/folders/1On9gMJvf9H-_ACBb85vxoeu3c9ykQLWr?
https://drive.google.com/drive/u/0/mobile/folders/1On9gMJvf9H-_ACBb85vxoeu3c9ykQLWr?
β€1
Get your 1st Internship through these sites βοΈπ―
Resources:
1. π https://thehub.io/
2. π https://wellfound.com/
3. π https://simplify.jobs/
4. π https://www.riipen.com/
5. π https://www.outreachy.org/
Resources:
1. π https://thehub.io/
2. π https://wellfound.com/
3. π https://simplify.jobs/
4. π https://www.riipen.com/
5. π https://www.outreachy.org/
thehub.io
The Hub | Find your next exciting startup job
We connect global talents with career opportunities in Nordic startups. Search through thousands of startup jobs, across location and remote positions
β€1
Start your Placement Prep with these 5 websites ππ₯
Very Useful π―
1. https://skilled.dev/
2. https://interviewcamp.io/
3. https://www.skills.google/
4. https://www.interviewbit.com/
5. https://bytebytego.com/
Very Useful π―
1. https://skilled.dev/
2. https://interviewcamp.io/
3. https://www.skills.google/
4. https://www.interviewbit.com/
5. https://bytebytego.com/
Skilled.dev
Coding Interview Questions + Land Your Dev Job | Skilled.dev
Skilled.dev is the leading interview course that developers trust to teach them how to master the coding interview and land their next job as a software engineer.
β€4
Sharing a website that contains real-world project ideas, clear project descriptions, tech stacks used, and what exactly you should build step by step πβ¨οΈ
https://www.codementor.io/projects
This website is perfect if youβre:
β Confused about what project to build
β Preparing projects for resume / portfolio
https://www.codementor.io/projects
This website is perfect if youβre:
β Confused about what project to build
β Preparing projects for resume / portfolio
β€2
FREE Git & GitHub Learning Links π₯βοΈ
1. Git & GitHub full crash course (video tutorial playlist)
https://www.youtube.com/watch?v=zTjRZNkhiEU
2. freeCodeCamp Git & GitHub tutorial (structured beginner course)
https://www.classcentral.com/course/freecodecamp-git-github-56997
3. GitHub Tutorial for Beginners (YouTube style)
https://www.hackr.io/tutorial/github-tutorial-for-beginners
4. Free Git & GitHub basics course (Codebasics)
https://codebasics.io/courses/gitgithub-tutorial
1. Git & GitHub full crash course (video tutorial playlist)
https://www.youtube.com/watch?v=zTjRZNkhiEU
2. freeCodeCamp Git & GitHub tutorial (structured beginner course)
https://www.classcentral.com/course/freecodecamp-git-github-56997
3. GitHub Tutorial for Beginners (YouTube style)
https://www.hackr.io/tutorial/github-tutorial-for-beginners
4. Free Git & GitHub basics course (Codebasics)
https://codebasics.io/courses/gitgithub-tutorial
YouTube
Learn Git β Full Course for Beginners
In this Git course for beginners, you will learn the essentials of version control to help you manage your projects more efficiently.
βοΈ Course developed by @HiteshCodeLab
Code for React app: https://github.com/hiteshchoudhary/react-english
β€οΈ Supportβ¦
βοΈ Course developed by @HiteshCodeLab
Code for React app: https://github.com/hiteshchoudhary/react-english
β€οΈ Supportβ¦
β€4
10 Days = 10 Certificates π―
1/ Google Certifications: https://developers.google.com/certification
2/ PayPal (Technical Compliance / PCI): https://www.paypal.com/in/webapps/mpp/pci-compliance
3/ Deloitte Academy (Learning & Certifications): https://www.deloitte.com/cy/en/services/deloitte-academy.html
4/ Oracle Certifications: https://academy.oracle.com/en/resources-oracle-certifications.html
5/ IBM Certifications: https://www.pearsonvue.com/us/en/ibm.html
6/ Meta Certifications: https://www.facebook.com/business/learn/certification
7/ Microsoft: https://learn.microsoft.com/en-us/shows/intro-to-python-development/
8/ DeepLearning: https://www.coursera.org/specializations/deep-learning
9/ Python 3: https://www.codecademy.com/learn/learn-python-3
10/ Python Labs: https://www.simplilearn.com/learn-python-libraries-free-course-skillup
1/ Google Certifications: https://developers.google.com/certification
2/ PayPal (Technical Compliance / PCI): https://www.paypal.com/in/webapps/mpp/pci-compliance
3/ Deloitte Academy (Learning & Certifications): https://www.deloitte.com/cy/en/services/deloitte-academy.html
4/ Oracle Certifications: https://academy.oracle.com/en/resources-oracle-certifications.html
5/ IBM Certifications: https://www.pearsonvue.com/us/en/ibm.html
6/ Meta Certifications: https://www.facebook.com/business/learn/certification
7/ Microsoft: https://learn.microsoft.com/en-us/shows/intro-to-python-development/
8/ DeepLearning: https://www.coursera.org/specializations/deep-learning
9/ Python 3: https://www.codecademy.com/learn/learn-python-3
10/ Python Labs: https://www.simplilearn.com/learn-python-libraries-free-course-skillup
Google for Developers
Google Developers Certification | Google for Developers
Take a certification exam to gain recognition for your skills as a developer.
β€3
These 25 algorithms completely changed my coding journey π»π
https://drive.google.com/file/d/1c8nB5hT0dmKwGciNLFgFAVtTHwhd8ZM6/view
After learning the right algorithms, everything became clear β
βοΈ Logic
βοΈ Confidence
βοΈ Interview preparation
https://drive.google.com/file/d/1c8nB5hT0dmKwGciNLFgFAVtTHwhd8ZM6/view
After learning the right algorithms, everything became clear β
βοΈ Logic
βοΈ Confidence
βοΈ Interview preparation
β€1
If youβre a student confused about where to start,
or a working professional trying to pivot into AI without burnout β this is for you π―π
Complete 6-Month AI Engineer Roadmap π
https://medium.com/%40id.shivanjali/6-month-ai-engineer-roadmap-d058f90e327e
or a working professional trying to pivot into AI without burnout β this is for you π―π
Complete 6-Month AI Engineer Roadmap π
https://medium.com/%40id.shivanjali/6-month-ai-engineer-roadmap-d058f90e327e
Medium
6-Month AI Engineer Roadmap
Pace: ~10β12 hrs/week for students, ~6β8 hrs/week for professionals
β€1
β
Master these 10 and youβre job-ready π»π
In most tech & data jobs, Excel isnβt about remembering everything β
itβs about knowing the right formulas and how to apply them π
https://drive.google.com/file/d/1s8HiL79NjrTDSE8L6DDOevf15spzKGXn/view
In most tech & data jobs, Excel isnβt about remembering everything β
itβs about knowing the right formulas and how to apply them π
https://drive.google.com/file/d/1s8HiL79NjrTDSE8L6DDOevf15spzKGXn/view
β€1π1
2026 won't change your life.
Your systems will π
Sharing a FREE Habit Tracker β use it daily and move closer to your goals & dreams. π
How to use it:
β’ Open the Google Sheet
β’ Make a copy to your Google Drive
β’ Track daily. No guessing.
https://docs.google.com/spreadsheets/d/1I0-AXfWfhaAepeNzNUNVtd7g3n5b1aTbesd0FtHK1aE/htmlview
Your systems will π
Sharing a FREE Habit Tracker β use it daily and move closer to your goals & dreams. π
How to use it:
β’ Open the Google Sheet
β’ Make a copy to your Google Drive
β’ Track daily. No guessing.
https://docs.google.com/spreadsheets/d/1I0-AXfWfhaAepeNzNUNVtd7g3n5b1aTbesd0FtHK1aE/htmlview
Google Docs
Monthly Habit Tracker 2026
β€1
No company can reject you if you truly master these 3 GitHub repositories π
1. Every DSA patterns ever
https://github.com/thealgorithms
2. Full Stack Development
https://github.com/fullstack-hy2020
3. Deep Learning
https://github.com/christoschristofidis
1. Every DSA patterns ever
https://github.com/thealgorithms
2. Full Stack Development
https://github.com/fullstack-hy2020
3. Deep Learning
https://github.com/christoschristofidis
GitHub
The Algorithms
Open Source resource for learning Data Structures & Algorithms and their implementation in any Programming Language - The Algorithms
π2