Prepare for GATE: The Right Time is NOW!
GeeksforGeeks brings you everything you need to crack GATE 2026 β 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
Whatβs inside?
β Live & recorded classes with Indiaβs top educators
β 200+ mock tests to track your progress
β Study materials - PYQs, workbooks, formula book & more
β 1:1 mentorship & AI doubt resolution for instant support
β Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav β Trained 20K+ students
Dr. Khaleel β Ph.D. in CS, 29+ years of experience
Chandan Jha β Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal β M.Tech (NIT), 13+ years of experience
Sakshi Singhal β IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh β GATE 99.24 percentile
Devasane Mallesham β IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
π Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
GeeksforGeeks brings you everything you need to crack GATE 2026 β 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
Whatβs inside?
β Live & recorded classes with Indiaβs top educators
β 200+ mock tests to track your progress
β Study materials - PYQs, workbooks, formula book & more
β 1:1 mentorship & AI doubt resolution for instant support
β Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav β Trained 20K+ students
Dr. Khaleel β Ph.D. in CS, 29+ years of experience
Chandan Jha β Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal β M.Tech (NIT), 13+ years of experience
Sakshi Singhal β IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh β GATE 99.24 percentile
Devasane Mallesham β IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
π Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
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HTML CSS JS Project Ideas πβ¨
1. Personal Portfolio Website
2. Task Manager Application
3. Weather App
4. E-Commerce Product Slider
5. Interactive Quiz
6. To-Do List with Local Storage
7. Image Gallery
8. Calculator
9. Animated Landing Page
10. Personal Blogging Platform
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ππ
1. Personal Portfolio Website
2. Task Manager Application
3. Weather App
4. E-Commerce Product Slider
5. Interactive Quiz
6. To-Do List with Local Storage
7. Image Gallery
8. Calculator
9. Animated Landing Page
10. Personal Blogging Platform
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ππ
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How to upload your project on GitHub ππ
https://t.me/github_coding/37
Step by step approach explained
https://t.me/github_coding/37
Step by step approach explained
π2
Essential Tools, Libraries, and Frameworks to learn Artificial Intelligence
1. Programming Languages:
Python
R
Java
Julia
2. AI Frameworks:
TensorFlow
PyTorch
Keras
MXNet
Caffe
3. Machine Learning Libraries:
Scikit-learn: For classical machine learning models.
XGBoost: For boosting algorithms.
LightGBM: For gradient boosting models.
4. Deep Learning Tools:
TensorFlow
PyTorch
Keras
Theano
5. Natural Language Processing (NLP) Tools:
NLTK (Natural Language Toolkit)
SpaCy
Hugging Face Transformers
Gensim
6. Computer Vision Libraries:
OpenCV
DLIB
Detectron2
7. Reinforcement Learning Frameworks:
Stable-Baselines3
RLlib
OpenAI Gym
8. AI Development Platforms:
IBM Watson
Google AI Platform
Microsoft AI
9. Data Visualization Tools:
Matplotlib
Seaborn
Plotly
Tableau
10. Robotics Frameworks:
ROS (Robot Operating System)
MoveIt!
11. Big Data Tools for AI:
Apache Spark
Hadoop
12. Cloud Platforms for AI Deployment:
Google Cloud AI
AWS SageMaker
Microsoft Azure AI
13. Popular AI APIs and Services:
Google Cloud Vision API
Microsoft Azure Cognitive Services
IBM Watson AI APIs
14. Learning Resources and Communities:
Kaggle
GitHub AI Projects
Papers with Code
Share with credits: https://t.me/machinelearning_deeplearning
ENJOY LEARNING ππ
1. Programming Languages:
Python
R
Java
Julia
2. AI Frameworks:
TensorFlow
PyTorch
Keras
MXNet
Caffe
3. Machine Learning Libraries:
Scikit-learn: For classical machine learning models.
XGBoost: For boosting algorithms.
LightGBM: For gradient boosting models.
4. Deep Learning Tools:
TensorFlow
PyTorch
Keras
Theano
5. Natural Language Processing (NLP) Tools:
NLTK (Natural Language Toolkit)
SpaCy
Hugging Face Transformers
Gensim
6. Computer Vision Libraries:
OpenCV
DLIB
Detectron2
7. Reinforcement Learning Frameworks:
Stable-Baselines3
RLlib
OpenAI Gym
8. AI Development Platforms:
IBM Watson
Google AI Platform
Microsoft AI
9. Data Visualization Tools:
Matplotlib
Seaborn
Plotly
Tableau
10. Robotics Frameworks:
ROS (Robot Operating System)
MoveIt!
11. Big Data Tools for AI:
Apache Spark
Hadoop
12. Cloud Platforms for AI Deployment:
Google Cloud AI
AWS SageMaker
Microsoft Azure AI
13. Popular AI APIs and Services:
Google Cloud Vision API
Microsoft Azure Cognitive Services
IBM Watson AI APIs
14. Learning Resources and Communities:
Kaggle
GitHub AI Projects
Papers with Code
Share with credits: https://t.me/machinelearning_deeplearning
ENJOY LEARNING ππ
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