Top_17_Claude_Skills_&_GitHub_Repos_for_AI_โ_The_Only_List_You_Need.pdf
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1โค35๐ฅ2
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LearnTube Certified | Google-Backed
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2/ Krish Naik: https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig
3/ StatQuest with Josh Starmer: https://www.youtube.com/c/joshstarmer
4/ 3Blue1Brown: https://www.youtube.com/c/3blue1brown
5/ FreeCodeCamp: https://www.youtube.com/c/Freecodecamp
6/ Yannic Kilcher: https://www.youtube.com/c/YannicKilcher
7/ IBM Technology: https://www.youtube.com/c/IBMTechnology
1/ DeepLearning AI: https://www.youtube.com/c/DeepLearningAI
2/ Krish Naik: https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig
3/ StatQuest with Josh Starmer: https://www.youtube.com/c/joshstarmer
4/ 3Blue1Brown: https://www.youtube.com/c/3blue1brown
5/ FreeCodeCamp: https://www.youtube.com/c/Freecodecamp
6/ Yannic Kilcher: https://www.youtube.com/c/YannicKilcher
7/ IBM Technology: https://www.youtube.com/c/IBMTechnology
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Master DSA ๐
DSA MASTER TREE
โ
โโโ 1. Foundations
โ โโโ What is Data Structure
โ โโโ What is Algorithm
โ โโโ Time Complexity
โ โ โโโ Big-O
โ โ โโโ Big-ฮฉ
โ โ โโโ Big-ฮ
โ โโโ Space Complexity
โ โโโ Recurrence Relations
โ
โโโ 2. Mathematical Basics
โ โโโ Logarithms
โ โโโ Modular Arithmetic
โ โโโ Prime Numbers
โ โโโ GCD / LCM
โ โโโ Sieve of Eratosthenes
โ
โโโ 3. Arrays
โ โโโ Traversal
โ โโโ Searching
โ โ โโโ Linear Search
โ โ โโโ Binary Search
โ โโโ Prefix Sum
โ โโโ Sliding Window
โ โโโ Two Pointers
โ โโโ Kadaneโs Algorithm
โ โโโ Matrix / 2D Arrays
โ
โโโ 4. Strings
โ โโโ String Manipulation
โ โโโ Pattern Matching
โ โ โโโ Naive
โ โ โโโ KMP
โ โ โโโ Rabin-Karp
โ โ โโโ Z Algorithm
โ โโโ Palindrome Problems
โ โโโ String Hashing
โ โโโ Trie
โ
โโโ 5. Linked Lists
โ โโโ Singly Linked List
โ โโโ Doubly Linked List
โ โโโ Circular Linked List
โ โโโ Reverse Linked List
โ โโโ Cycle Detection (Floyd)
โ โโโ Merge Lists
โ
โโโ 6. Stack
โ โโโ Stack Implementation
โ โโโ Balanced Parentheses
โ โโโ Next Greater Element
โ โโโ Monotonic Stack
โ โโโ Min Stack
โ
โโโ 7. Queue
โ โโโ Queue Implementation
โ โโโ Circular Queue
โ โโโ Deque
โ โโโ Priority Queue
โ โโโ Monotonic Queue
โ
โโโ 8. Hashing
โ โโโ Hash Tables
โ โโโ Collision Handling
โ โ โโโ Chaining
โ โ โโโ Open Addressing
โ โโโ Load Factor
โ โโโ Rehashing
โ
โโโ 9. Trees
โ โโโ Binary Tree
โ โ โโโ Traversals
โ โ โ โโโ Inorder
โ โ โ โโโ Preorder
โ โ โ โโโ Postorder
โ โ โโโ Height / Depth
โ โ โโโ Diameter
โ โโโ Binary Search Tree
โ โโโ AVL Tree
โ โโโ Red-Black Tree
โ โโโ Segment Tree
โ โโโ Fenwick Tree
โ โโโ Heap
โ โโโ Min Heap
โ โโโ Max Heap
โ
โโโ 10. Graphs
โ โโโ Graph Representation
โ โ โโโ Adjacency Matrix
โ โ โโโ Adjacency List
โ โโโ BFS
โ โโโ DFS
โ โโโ Topological Sort
โ โโโ Cycle Detection
โ โโโ Shortest Path
โ โ โโโ Dijkstra
โ โ โโโ Bellman-Ford
โ โ โโโ Floyd-Warshall
โ โโโ Minimum Spanning Tree
โ โ โโโ Kruskal
โ โ โโโ Prim
โ โโโ Disjoint Set (Union-Find)
โ
โโโ 11. Recursion & Backtracking
โ โโโ Recursion Basics
โ โโโ Subsets
โ โโโ Permutations
โ โโโ N-Queens
โ โโโ Sudoku Solver
โ
โโโ 12. Greedy Algorithms
โ โโโ Activity Selection
โ โโโ Huffman Coding
โ โโโ Fractional Knapsack
โ โโโ Job Scheduling
โ
โโโ 13. Dynamic Programming
โ โโโ Memoization
โ โโโ Tabulation
โ โโโ 1D DP
โ โโโ 2D DP
โ โโโ Knapsack Variants
โ โโโ Longest Common Subsequence
โ โโโ Longest Increasing Subsequence
โ โโโ Matrix Chain Multiplication
โ
โโโ 14. Bit Manipulation
โ โโโ Bitwise Operators
โ โโโ Set / Clear Bits
โ โโโ Count Set Bits
โ โโโ XOR Tricks
โ
โโโ 15. Advanced DSA
โ โโโ Sparse Table
โ โโโ Heavy-Light Decomposition
โ โโโ Treap
โ โโโ Splay Tree
โ โโโ Skip List
โ
โโโ 16. Interview Patterns
โโโ Two Pointer Pattern
โโโ Sliding Window Pattern
โโโ Binary Search Pattern
โโโ BFS / DFS Pattern
โโโ Greedy Choice Pattern
โโโ DP Pattern Recognition
DSA MASTER TREE
โ
โโโ 1. Foundations
โ โโโ What is Data Structure
โ โโโ What is Algorithm
โ โโโ Time Complexity
โ โ โโโ Big-O
โ โ โโโ Big-ฮฉ
โ โ โโโ Big-ฮ
โ โโโ Space Complexity
โ โโโ Recurrence Relations
โ
โโโ 2. Mathematical Basics
โ โโโ Logarithms
โ โโโ Modular Arithmetic
โ โโโ Prime Numbers
โ โโโ GCD / LCM
โ โโโ Sieve of Eratosthenes
โ
โโโ 3. Arrays
โ โโโ Traversal
โ โโโ Searching
โ โ โโโ Linear Search
โ โ โโโ Binary Search
โ โโโ Prefix Sum
โ โโโ Sliding Window
โ โโโ Two Pointers
โ โโโ Kadaneโs Algorithm
โ โโโ Matrix / 2D Arrays
โ
โโโ 4. Strings
โ โโโ String Manipulation
โ โโโ Pattern Matching
โ โ โโโ Naive
โ โ โโโ KMP
โ โ โโโ Rabin-Karp
โ โ โโโ Z Algorithm
โ โโโ Palindrome Problems
โ โโโ String Hashing
โ โโโ Trie
โ
โโโ 5. Linked Lists
โ โโโ Singly Linked List
โ โโโ Doubly Linked List
โ โโโ Circular Linked List
โ โโโ Reverse Linked List
โ โโโ Cycle Detection (Floyd)
โ โโโ Merge Lists
โ
โโโ 6. Stack
โ โโโ Stack Implementation
โ โโโ Balanced Parentheses
โ โโโ Next Greater Element
โ โโโ Monotonic Stack
โ โโโ Min Stack
โ
โโโ 7. Queue
โ โโโ Queue Implementation
โ โโโ Circular Queue
โ โโโ Deque
โ โโโ Priority Queue
โ โโโ Monotonic Queue
โ
โโโ 8. Hashing
โ โโโ Hash Tables
โ โโโ Collision Handling
โ โ โโโ Chaining
โ โ โโโ Open Addressing
โ โโโ Load Factor
โ โโโ Rehashing
โ
โโโ 9. Trees
โ โโโ Binary Tree
โ โ โโโ Traversals
โ โ โ โโโ Inorder
โ โ โ โโโ Preorder
โ โ โ โโโ Postorder
โ โ โโโ Height / Depth
โ โ โโโ Diameter
โ โโโ Binary Search Tree
โ โโโ AVL Tree
โ โโโ Red-Black Tree
โ โโโ Segment Tree
โ โโโ Fenwick Tree
โ โโโ Heap
โ โโโ Min Heap
โ โโโ Max Heap
โ
โโโ 10. Graphs
โ โโโ Graph Representation
โ โ โโโ Adjacency Matrix
โ โ โโโ Adjacency List
โ โโโ BFS
โ โโโ DFS
โ โโโ Topological Sort
โ โโโ Cycle Detection
โ โโโ Shortest Path
โ โ โโโ Dijkstra
โ โ โโโ Bellman-Ford
โ โ โโโ Floyd-Warshall
โ โโโ Minimum Spanning Tree
โ โ โโโ Kruskal
โ โ โโโ Prim
โ โโโ Disjoint Set (Union-Find)
โ
โโโ 11. Recursion & Backtracking
โ โโโ Recursion Basics
โ โโโ Subsets
โ โโโ Permutations
โ โโโ N-Queens
โ โโโ Sudoku Solver
โ
โโโ 12. Greedy Algorithms
โ โโโ Activity Selection
โ โโโ Huffman Coding
โ โโโ Fractional Knapsack
โ โโโ Job Scheduling
โ
โโโ 13. Dynamic Programming
โ โโโ Memoization
โ โโโ Tabulation
โ โโโ 1D DP
โ โโโ 2D DP
โ โโโ Knapsack Variants
โ โโโ Longest Common Subsequence
โ โโโ Longest Increasing Subsequence
โ โโโ Matrix Chain Multiplication
โ
โโโ 14. Bit Manipulation
โ โโโ Bitwise Operators
โ โโโ Set / Clear Bits
โ โโโ Count Set Bits
โ โโโ XOR Tricks
โ
โโโ 15. Advanced DSA
โ โโโ Sparse Table
โ โโโ Heavy-Light Decomposition
โ โโโ Treap
โ โโโ Splay Tree
โ โโโ Skip List
โ
โโโ 16. Interview Patterns
โโโ Two Pointer Pattern
โโโ Sliding Window Pattern
โโโ Binary Search Pattern
โโโ BFS / DFS Pattern
โโโ Greedy Choice Pattern
โโโ DP Pattern Recognition
โค40
Best ATS Resume Templates.pdf
45 KB
Best ATS Resume Templates ๐ฉท
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โค13
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10.9 MB
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๐ Generative AI Basics You Should Know
๐ Generative AI = AI that can CREATE new content
Instead of just predicting, it can generate:
- Text
- Images
- Code
- Audio
- Videos
๐ฏ Real-Life Examples
- ChatGPT โ generates answers
- DALLยทE / Midjourney โ generate images
- GitHub Copilot โ writes code
- AI voice tools โ generate speech
๐ฅ Why Generative AI is Important
- Highest demand skill in AI
- Used in almost every industry
- Huge salary boost
- Fastest growing field
๐น How Generative AI Works (Big Idea)
๐ Model learns patterns from huge data
๐ Then generates new similar content
Example: Trained on millions of texts โ Generates new sentences
๐น Types of Generative AI Models
- Large Language Models (LLMs) โญ
- Work with text
- Examples: GPT (ChatGPT), BERT, LLaMA
- What they do: Answer questions, Summarize, Translate, Chat
- Diffusion Models
- Used for image generation
- How: Start with noise, Gradually create image
- Examples: Stable Diffusion, DALLยทE
- GANs
- Generate realistic fake data
- Used for: Face generation, Deepfake videos
๐น Prompt Engineering (Very Important ๐ฅ)
๐ How you talk to AI matters
Example:
โ Bad prompt: "Tell me about AI"
โ Good prompt: "Explain AI in simple terms with real-world examples for beginners"
๐ Better prompt = Better output
๐น Common Generative AI Tasks
- Text generation
- Image generation
- Code generation
- Chatbots
- Content creation
๐ ๏ธ Tools You Must Learn
- OpenAI APIs
- Hugging Face
- LangChain
- Vector databases (basic idea)
๐ฏ Where Generative AI is Used
- Content creation
- Marketing
- Customer support
- Coding assistants
- Education
๐ Generative AI Free Masters Class : Register Now ๐ ๐
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Double Tap โค๏ธ For More
๐ Generative AI = AI that can CREATE new content
Instead of just predicting, it can generate:
- Text
- Images
- Code
- Audio
- Videos
๐ฏ Real-Life Examples
- ChatGPT โ generates answers
- DALLยทE / Midjourney โ generate images
- GitHub Copilot โ writes code
- AI voice tools โ generate speech
๐ฅ Why Generative AI is Important
- Highest demand skill in AI
- Used in almost every industry
- Huge salary boost
- Fastest growing field
๐น How Generative AI Works (Big Idea)
๐ Model learns patterns from huge data
๐ Then generates new similar content
Example: Trained on millions of texts โ Generates new sentences
๐น Types of Generative AI Models
- Large Language Models (LLMs) โญ
- Work with text
- Examples: GPT (ChatGPT), BERT, LLaMA
- What they do: Answer questions, Summarize, Translate, Chat
- Diffusion Models
- Used for image generation
- How: Start with noise, Gradually create image
- Examples: Stable Diffusion, DALLยทE
- GANs
- Generate realistic fake data
- Used for: Face generation, Deepfake videos
๐น Prompt Engineering (Very Important ๐ฅ)
๐ How you talk to AI matters
Example:
โ Bad prompt: "Tell me about AI"
โ Good prompt: "Explain AI in simple terms with real-world examples for beginners"
๐ Better prompt = Better output
๐น Common Generative AI Tasks
- Text generation
- Image generation
- Code generation
- Chatbots
- Content creation
๐ ๏ธ Tools You Must Learn
- OpenAI APIs
- Hugging Face
- LangChain
- Vector databases (basic idea)
๐ฏ Where Generative AI is Used
- Content creation
- Marketing
- Customer support
- Coding assistants
- Education
๐ Generative AI Free Masters Class : Register Now ๐ ๐
https://tinyurl.com/yt39yr5x
Double Tap โค๏ธ For More
โค36
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โค22๐5
Java Interview Questions 1 ๐
https://www.instagram.com/reel/DXD2K9psVHZ/?igsh=MXNmMHI0c2p0aWhwNQ==
https://www.instagram.com/reel/DXD2K9psVHZ/?igsh=MXNmMHI0c2p0aWhwNQ==
๐ฅ3
CLAUDE_CAN_NOW_PREPARE_YOUR_PRESENTATIONS_USING_THE_EXACT_FRAMEWORK.pdf
3.8 MB
CLAUDE CAN NOW PREPARE YOUR PRESENTATIONS USING THE EXACT FRAMEWORK PATRICK WINSTON TAUGHT MIT STUDENTS FOR 40 YEARS โ๏ธ
React โค๏ธ For More
React โค๏ธ For More
โค18๐3
๐ I just shared something important about DSA that most people donโt talk about.
If youโve ever felt stuck or confused while learning DSA, this might change how you approach it completely.
๐ Read Here : https://tinyurl.com/4ssjuzzz
If youโve ever felt stuck or confused while learning DSA, this might change how you approach it completely.
๐ Read Here : https://tinyurl.com/4ssjuzzz
โค9
โ
Artificial Intelligence (AI) Learning Roadmap ๐ค๐ง
1๏ธโฃ Programming Foundations
- Learn Python (must-have)
- Practice with NumPy, Pandas, Matplotlib
2๏ธโฃ Math for AI
- Linear Algebra: Vectors, matrices
- Probability & Statistics
- Calculus (basics: derivatives, gradients)
- Optimization (gradient descent)
3๏ธโฃ Machine Learning Basics
- Supervised vs Unsupervised Learning
- Regression, classification, clustering
- Learn scikit-learn
- Evaluation metrics (accuracy, F1, confusion matrix)
4๏ธโฃ Deep Learning
- Neural networks: forward pass, backpropagation
- Activation functions, loss functions
- Use TensorFlow or PyTorch
- CNNs, RNNs, LSTMs
5๏ธโฃ Natural Language Processing (NLP)
- Tokenization, stemming, embeddings
- Transformer architecture (BERT, GPT)
- Sentiment analysis, summarization, translation
6๏ธโฃ Computer Vision
- Image classification, object detection
- Libraries: OpenCV, YOLO, Mediapipe
7๏ธโฃ Generative AI
- GANs (Generative Adversarial Networks)
- Diffusion models
- Prompt engineering & LLMs (ChatGPT, Claude, Gemini)
8๏ธโฃ AI Project Ideas
- Chatbot
- Image caption generator
- AI-powered recommendation system
- Text-to-image generator
9๏ธโฃ AI Ethics & Safety
- Bias in AI
- Privacy, fairness
- Responsible AI development
๐ Tools to Learn
- OpenAI API, Hugging Face, LangChain
- Git & GitHub
- Docker (for deployment)
1๏ธโฃ1๏ธโฃ Deployment Skills
- Streamlit / Flask for web apps
- Deploy AI models on Hugging Face, Vercel, or AWS
1๏ธโฃ2๏ธโฃ Stay Updated
- Follow arXiv, PapersWithCode
- Join AI communities (Discord, Reddit, LinkedIn)
๐ผ Pro Tip: Build 2โ3 AI projects, share them on GitHub, and write a blog/post about your learnings.
๐ฌ Tap โค๏ธ for more!
1๏ธโฃ Programming Foundations
- Learn Python (must-have)
- Practice with NumPy, Pandas, Matplotlib
2๏ธโฃ Math for AI
- Linear Algebra: Vectors, matrices
- Probability & Statistics
- Calculus (basics: derivatives, gradients)
- Optimization (gradient descent)
3๏ธโฃ Machine Learning Basics
- Supervised vs Unsupervised Learning
- Regression, classification, clustering
- Learn scikit-learn
- Evaluation metrics (accuracy, F1, confusion matrix)
4๏ธโฃ Deep Learning
- Neural networks: forward pass, backpropagation
- Activation functions, loss functions
- Use TensorFlow or PyTorch
- CNNs, RNNs, LSTMs
5๏ธโฃ Natural Language Processing (NLP)
- Tokenization, stemming, embeddings
- Transformer architecture (BERT, GPT)
- Sentiment analysis, summarization, translation
6๏ธโฃ Computer Vision
- Image classification, object detection
- Libraries: OpenCV, YOLO, Mediapipe
7๏ธโฃ Generative AI
- GANs (Generative Adversarial Networks)
- Diffusion models
- Prompt engineering & LLMs (ChatGPT, Claude, Gemini)
8๏ธโฃ AI Project Ideas
- Chatbot
- Image caption generator
- AI-powered recommendation system
- Text-to-image generator
9๏ธโฃ AI Ethics & Safety
- Bias in AI
- Privacy, fairness
- Responsible AI development
๐ Tools to Learn
- OpenAI API, Hugging Face, LangChain
- Git & GitHub
- Docker (for deployment)
1๏ธโฃ1๏ธโฃ Deployment Skills
- Streamlit / Flask for web apps
- Deploy AI models on Hugging Face, Vercel, or AWS
1๏ธโฃ2๏ธโฃ Stay Updated
- Follow arXiv, PapersWithCode
- Join AI communities (Discord, Reddit, LinkedIn)
๐ผ Pro Tip: Build 2โ3 AI projects, share them on GitHub, and write a blog/post about your learnings.
๐ฌ Tap โค๏ธ for more!
โค20โก1๐ญ1
Hey guys, have you enrolled for the hackathon where you can win cash prizes up to โน6 lakhs? ๐
Build innovative AI solutions, showcase your skills, and solve problems that matter for Bharat ๐ฎ๐ณ
๐ Registration Link: https://tinyurl.com/mt354drp
Eligibility: Open to all students, working professionals, developers, and AI enthusiasts.
Perks for Candidates:
โขโ โ Cash prizes worth 6 Lakhs ๐ฐ & national recognition ๐
โขโ โ Build real-world AI solutions with practical impact ๐ค
โขโ โ Get mentored by experts from the PAN IIT Bangalore Alumni Association ๐
โขโ โ Opportunity to engage with initiatives backed by the Government of Karnataka ๐
โขโ โ Strengthen your profile with hands-on projects & certificates ๐
Register and start building now! ๐
Build innovative AI solutions, showcase your skills, and solve problems that matter for Bharat ๐ฎ๐ณ
๐ Registration Link: https://tinyurl.com/mt354drp
Eligibility: Open to all students, working professionals, developers, and AI enthusiasts.
Perks for Candidates:
โขโ โ Cash prizes worth
โขโ โ Build real-world AI solutions with practical impact ๐ค
โขโ โ Get mentored by experts from the PAN IIT Bangalore Alumni Association ๐
โขโ โ Opportunity to engage with initiatives backed by the Government of Karnataka ๐
โขโ โ Strengthen your profile with hands-on projects & certificates ๐
Register and start building now! ๐
โค9
7 Prompts that will outperform 99% of agents.pdf
11.2 MB
7 Prompts that will outperform 99% of agents ๐
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โค21
๐ฏ 2026 Free Course ๐
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3/ Java Programming (Infosys Springboard)
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6/ AWS Cloud Practitioner Essentials (AWS)
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8/ Data Science Foundations (IBM SkillsBuild)
https://skillsbuild.org/students/course-catalog/data-science
1/ Python for Beginners (Microsoft):
https://learn.microsoft.com/en-us/shows/intro-to-python-development/
2/ SQL for Data Science (IBM via edX):
https://www.edx.org/learn/data-science/ibm-sql-for-data-science
3/ Java Programming (Infosys Springboard)
https://placementdriveinsta.in/infosys-free-java-course-with-certificate/
4/ AI Fundamentals - AI-900 (Microsoft)
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
5/ Fundamentals of Machine Learning (NVIDIA DLI)
https://www.coursera.org/learn/fundamentals-of-machine-learning
6/ AWS Cloud Practitioner Essentials (AWS)
https://explore.skillbuilder.aws/learn/course/external/view/elearning/134/aws-cloud-practitioner-essentials
7/ Get Started with Microsoft Data Analytics
https://learn.microsoft.com/en-us/training/modules/get-started-data-analytics/
8/ Data Science Foundations (IBM SkillsBuild)
https://skillsbuild.org/students/course-catalog/data-science
โค12๐1