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Object Oriented Programming
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Memory Management and Performance
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Typing and Static Analysis
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File and Data Handling
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Network and Web Programming
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Testing and Debugging
Testing and Debugging
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Python Internals
Python Internals
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Security and Safe Practices
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New Python Features and Enhancements
New Python Features and Enhancements
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Advanced Use Cases and Applications
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Programming
Data Structures
Data Structures
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Algorithmic Concepts
Searching
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Recursion
DSA Patterns
DSA Patterns
00. Prefix Sum & Line Swipe
01. Bit Manipulation
02. Two Pointer
03. Fast and Slow Pointers
04.Sliding-Window
05. Merge Intervals
06. Greedy Algorithms
07. Divide and Conquer
08. Dynamic Programming
09. Recursion & Backtracking
10. Union Find
11. Segment Tree
12. KMP Algorithm
13. Robin-Karp Algorithm
14. Z Algorithm
15. Boyer-Moore Voting Algorithm
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Design Patterns
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Software Architecture Patterns
Introduction
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Machine Learning
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Models
Models
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Model Evaluation and Validation
Model Evaluation and Validation
Cross Validation Techniques
Performance Metrics for Classification
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Bias Variance Tradeoff
Hyperparameter Tuning
Deep Learning
Deep Learning
Neural Networks Basics
Optimization Algorithms
Training Deep Networks
Computer Vision
Computer Vision
CNN Architectures
CNN Architectures
1. LeNet-5
2. AlexNet
3. VGGNet
4. GoogLeNet / InceptionNet
5. ResNet
6. MobileNet
7. XceptionNet
8. SqueezeNet
9. DenseNet
10. ShuffleNet
Evolution of CNN Architectures
Object Detection
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Keypoint Detection
Optical Flow
Natual Language Processing
Natual Language Processing
RNN
LSTM
GRU
Gen AI
Gen AI
Restricted Boltzmann Machines
Restricted Boltzmann Machines
Table of contents
Probability Recap
Baysian Networks
Markov Networks
Markov Chains
RBMs
Variational Autoencoders
Generative Adverserial Network
Diffusion Models
Transformers
RAGs
Agents
DevOps
DevOps
Shell
Git
package manager and virtual environment
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Documentation, Styling and Pre commit
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Flask
Docker
Mlflow
ZenML
AI Inference & Acceleration Stack
AI Inference & Acceleration Stack
CUDA and cuDNN: Powering the Engine of Deep Learning
Inference Optimization Engines: Speeding Up AI Models for Real-World Deployment
Inference Serving Frameworks: Deploying AI Models at Scale
Edge AI Hardware Platforms: NVIDIA Jetson vs Raspberry Pi
Data Engineering
Data Engineering
Spark
Kafka
Flink
Table of contents
Probability Recap
Baysian Networks
Markov Networks
Markov Chains
RBMs
Restricted Boltzmann Machines
Probability Recap
Baysian Networks
Markov Networks
Markov Chains
RBMs