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
Part 1
Capstone Embedding Search Rag
39 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 2
Capstone Lora Low Rank Adaptation
30 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 3
Capstone Next Token Model
36 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 4
Capstone Self Attention
30 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 5
Extension01 Tensor Calculus Auto...
45 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 6
Extension02 Transformer Llm Math
44 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 7
Extension03 Generative Model Math
44 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 8
Extension04 Training Alignment E...
37 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 9
Part01 Mathematical Thinking
37 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 10
Part02 Set Theory
47 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 11
Part03 Combinatorics
34 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 12
Part04 Probability
42 min read
Linear algebra, calculus, probability, statistics, and optimization for machine learning.
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Part 1
Artificial Neural Networks Guide
36 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 2
Attention Is All You Need Transf...
33 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 3
Computer Vision Fundamentals Guide
35 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 4
Machine Learning Mathematics Sta...
44 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 5
Python Data Science Machine Lear...
44 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 6
Python Data Science Numpy Founda...
39 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 7
Python Data Science Pandas Analysis
32 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 8
Python Data Science Visualization
42 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 9
Python Setup Notebooks Guide
41 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 10
Pytorch Deep Learning Guide
48 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 11
Tensorflow Deep Learning Guide
39 min read
Python setup, NumPy, Pandas, Matplotlib, scikit-learn, and data science workflows.
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Part 1
Part01 Why And History
39 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 2
Part02 Building Blocks
34 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 3
Part03 How They Learn
39 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 4
Part04 First Network From Scratch
45 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 5
Part05 Architectures Overview
37 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 6
Part06 Cnns Deep Dive
31 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 7
Part07 Rnns Lstms Deep Dive
30 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 8
Part08 Autoencoders Gans
48 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 9
Part09 Transformers Best Practices
49 min read
Perceptrons, backpropagation, CNNs, RNNs, attention mechanisms, and architectures.
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Part 1
Deep Dive Gan
42 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 2
Deep Dive Gpt2
35 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 3
Deep Dive Resnet
40 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 4
Deep Dive Unet
32 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 5
Deep Dive Yolo
47 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 6
Part01 Tensors Autograd Gpu
45 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 7
Part02 Neural Networks
48 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 8
Part03 Training Evaluation
35 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 9
Part04 Datasets Dataloaders
35 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 10
Part05 Cnns Computer Vision
31 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 11
Part06 Rnns Lstms Sequences
47 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 12
Part07 Transformers Attention
47 min read
Tensors, autograd, nn.Module, training loops, distributed training, and deployment.
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Part 1
Deep Dive Bert
35 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 2
Deep Dive Efficientnet
44 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 3
Deep Dive Stable Diffusion
45 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 4
Deep Dive Vit
35 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 5
Deep Dive Yolov8
48 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 6
Part01 Tensors Autodiff
37 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 7
Part02 Keras Models
30 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 8
Part03 Training Optimization
46 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 9
Part04 Data Pipelines
46 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 10
Part05 Workflows Callbacks
35 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 11
Part06 Cnns Vision
39 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 12
Part07 Rnns Nlp Timeseries
43 min read
Keras API, custom training, TF Serving, TFLite, and production pipelines.
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Part 1
Advanced Tasks
49 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 2
Core Tasks
35 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 3
Cutting Edge Research
35 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 4
Evaluation Ethics
43 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 5
Fundamentals Linguistic Basics
43 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 6
Gpt Text Generation
39 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 7
Multilingual Crosslingual
46 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 8
Neural Networks
38 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 9
Pretrained Models Transfer Learning
41 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 10
Rnn Lstm Gru
30 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 11
Statistical Language Models
46 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 12
Systems Production
34 min read
Tokenization, word embeddings, transformers, BERT, GPT, and text generation.
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Part 1
Part01 Foundations Evolution
33 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 2
Part02 Llm Fundamentals
47 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 3
Part03 Prompt Engineering
30 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 4
Part04 Langchain Core
40 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 5
Part05 Rag Systems
31 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 6
Part06 Memory Context
40 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 7
Part07 Agents Core
45 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 8
Part08 Langgraph
45 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 9
Part09 Deep Agents
31 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 10
Part10 Multi Agent
34 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 11
Part11 Design Patterns
46 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 12
Part12 Ecosystem
32 min read
Building AI-powered applications — RAG, agents, prompt engineering, and MLOps.
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Part 1
Ai Wild Part01 Landscape Overview
40 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 2
Ai Wild Part02 Ml Foundations
42 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 3
Ai Wild Part03 Nlp
41 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 4
Ai Wild Part04 Computer Vision
38 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 5
Ai Wild Part05 Recommender Systems
31 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 6
Ai Wild Part06 Reinforcement Lea...
48 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 7
Ai Wild Part07 Conversational Ai
40 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 8
Ai Wild Part08 Llms
38 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 9
Ai Wild Part09 Prompt Engineering
46 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 10
Ai Wild Part10 Finetuning Rlhf
48 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 11
Ai Wild Part11 Generative Ai
46 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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Part 12
Ai Wild Part12 Multimodal Ai
44 min read
Real-world AI deployments — case studies, ethics, bias, regulation, and societal impact.
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