AI & Machine Learning Engineer
From Math Foundations to Production AI
A complete journey from mathematical foundations through deep learning frameworks to building and deploying production AI applications — covering linear algebra, neural networks, NLP, and real-world AI systems.
8 Series
128 Articles
80 Hours
Natural Language Processing
AI Application Development
Assessment
37 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Capstone Embedding Search Rag
42 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Capstone Lora Low Rank Adaptation
46 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Capstone Next Token Model
38 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Capstone Self Attention
38 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Extension01 Tensor Calculus Auto...
33 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Extension02 Transformer Llm Math
33 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Extension03 Generative Model Math
46 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Extension04 Training Alignment E...
42 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part01 Mathematical Thinking
35 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part02 Set Theory
49 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part03 Combinatorics
46 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Artificial Neural Networks Guide
49 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Assessment
44 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Attention Is All You Need Transf...
37 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Computer Vision Fundamentals Guide
42 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Machine Learning Mathematics Sta...
38 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Python Data Science Machine Lear...
41 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Python Data Science Numpy Founda...
31 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Python Data Science Pandas Analysis
33 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Python Data Science Visualization
36 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Python Setup Notebooks Guide
30 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Pytorch Deep Learning Guide
32 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Tensorflow Deep Learning Guide
36 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Assessment
44 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part01 Why And History
30 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part02 Building Blocks
38 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part03 How They Learn
36 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part04 First Network From Scratch
34 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part05 Architectures Overview
40 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part06 Cnns Deep Dive
37 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part07 Rnns Lstms Deep Dive
48 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part08 Autoencoders Gans
30 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part09 Transformers Best Practices
30 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Assessment
38 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Deep Dive Gan
38 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Deep Dive Gpt2
48 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Deep Dive Resnet
47 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Deep Dive Unet
38 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Deep Dive Yolo
34 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part01 Tensors Autograd Gpu
43 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part02 Neural Networks
41 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part03 Training Evaluation
32 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part04 Datasets Dataloaders
48 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part05 Cnns Computer Vision
45 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part06 Rnns Lstms Sequences
47 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Assessment
41 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Deep Dive Bert
36 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Deep Dive Efficientnet
49 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Deep Dive Stable Diffusion
31 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Deep Dive Vit
37 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Deep Dive Yolov8
30 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part01 Tensors Autodiff
35 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part02 Keras Models
41 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part03 Training Optimization
38 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part04 Data Pipelines
32 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part05 Workflows Callbacks
46 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part06 Cnns Vision
39 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Assessment
43 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Advanced Tasks
30 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Core Tasks
33 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Cutting Edge Research
42 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Evaluation Ethics
48 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Fundamentals Linguistic Basics
40 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Gpt Text Generation
45 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Multilingual Crosslingual
47 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Neural Networks
37 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Pretrained Models Transfer Learning
36 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Rnn Lstm Gru
30 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Statistical Language Models
49 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part01 Foundations Evolution
38 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part02 Llm Fundamentals
45 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part03 Prompt Engineering
36 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part04 Langchain Core
35 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part05 Rag Systems
38 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part06 Memory Context
37 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part07 Agents Core
41 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part08 Langgraph
43 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part09 Deep Agents
43 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part10 Multi Agent
42 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part11 Design Patterns
33 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part12 Ecosystem
40 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Ai Wild Part01 Landscape Overview
32 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part02 Ml Foundations
37 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part03 Nlp
45 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part04 Computer Vision
33 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part05 Recommender Systems
45 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part06 Reinforcement Lea...
39 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part07 Conversational Ai
32 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part08 Llms
33 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part09 Prompt Engineering
47 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part10 Finetuning Rlhf
48 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part11 Generative Ai
36 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Ai Wild Part12 Multimodal Ai
34 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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