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Learning Path

အခြေခံအဆင့်မှ စတင်၍ advanced အထိ — စနစ်တကျ စီစဉ်ထားသော သင်ယူမှုလမ်းကြောင်း။ Term တစ်ခုချင်းစီက နောက် term အတွက် အုတ်မြစ်ဖြစ်စေရန် စီစဉ်ထားသည်။

Beginner

အခြေခံ18 terms

Concepts, intuition and the big picture

1
Artificial IntelligenceAI
open Artificial Intelligence
2
Machine LearningML

Prereq: Artificial Intelligence

open Machine Learning
3
Neural Network

Prereq: Machine Learning

open Neural Network
3
Perceptron / MLP
open Perceptron / MLP
4
Supervised LearningSL

Prereq: Artificial Intelligence, Machine Learning

open Supervised Learning
4
Linear Regression

Prereq: Supervised Learning

open Linear Regression
5
Unsupervised LearningUL

Prereq: Artificial Intelligence, Machine Learning

open Unsupervised Learning
6
Natural Language ProcessingNLP

Prereq: Artificial Intelligence

open Natural Language Processing
6
Logistic Regression

Prereq: Linear Regression, Supervised Learning

open Logistic Regression
6
K-Nearest NeighborsKNN

Prereq: Supervised Learning

open K-Nearest Neighbors
7
Computer VisionCV

Prereq: Artificial Intelligence, Neural Network

open Computer Vision
7
K-Means Clustering

Prereq: Unsupervised Learning

open K-Means Clustering
8
Generative AIGenAI

Prereq: Artificial Intelligence, Machine Learning

open Generative AI
8
Image Classification

Prereq: Computer Vision, Convolutional Neural Network

open Image Classification
9
Embedding

Prereq: Natural Language Processing, Tokenization

open Embedding
10
Tokenization

Prereq: Natural Language Processing

open Tokenization
11
Loss Function

Prereq: Machine Learning

open Loss Function
12
Gradient DescentGD

Prereq: Machine Learning, Loss Function

open Gradient Descent

Intermediate

အလယ်အလတ်28 terms

Architectures, training dynamics and hands-on code

13
Overfitting

Prereq: Machine Learning, Loss Function

open Overfitting
13
Hallucination

Prereq: Large Language Model

open Hallucination
14
Deep Learning

Prereq: Machine Learning, Neural Network, Activation Function

open Deep Learning
14
Few-Shot & Zero-Shot Learning

Prereq: Prompt Engineering, In-Context Learning

open Few-Shot & Zero-Shot Learning
15
Activation Function

Prereq: Neural Network

open Activation Function
15
Support Vector MachineSVM

Prereq: Supervised Learning

open Support Vector Machine
15
Context Window

Prereq: Tokenization, Large Language Model

open Context Window
16
Backpropagation

Prereq: Neural Network, Gradient Descent

open Backpropagation
16
Ensemble Learning

Prereq: Decision Tree

open Ensemble Learning
16
Pooling

Prereq: Convolutional Neural Network

open Pooling
16
Temperature & Sampling

Prereq: Large Language Model

open Temperature & Sampling
17
Attention Mechanism

Prereq: Embedding, Backpropagation

open Attention Mechanism
17
Random Forest

Prereq: Decision Tree, Ensemble Learning

open Random Forest
17
Optical Character RecognitionOCR

Prereq: Computer Vision

open Optical Character Recognition
18
Convolutional Neural NetworkCNN

Prereq: Deep Learning

open Convolutional Neural Network
18
Gradient Boosting (XGBoost)

Prereq: Decision Tree, Ensemble Learning

open Gradient Boosting (XGBoost)
19
Recurrent Neural NetworkRNN

Prereq: Deep Learning

open Recurrent Neural Network
19
Principal Component AnalysisPCA

Prereq: Unsupervised Learning

open Principal Component Analysis
20
Transformer

Prereq: Attention Mechanism, Embedding

open Transformer
20
LSTM & GRULSTM

Prereq: Recurrent Neural Network

open LSTM & GRU
21
Large Language ModelLLM

Prereq: Transformer, Attention Mechanism

open Large Language Model
21
Reinforcement LearningRL

Prereq: Machine Learning

open Reinforcement Learning
21
Dropout

Prereq: Neural Network, Overfitting

open Dropout
22
Prompt Engineering

Prereq: Large Language Model

open Prompt Engineering
22
Batch Normalization

Prereq: Neural Network

open Batch Normalization
23
Transfer Learning

Prereq: Deep Learning

open Transfer Learning
24
Model Evaluation

Prereq: Machine Learning

open Model Evaluation
24
Optimizer (Adam / SGD)

Prereq: Gradient Descent

open Optimizer (Adam / SGD)

Advanced

အဆင့်မြင့်54 terms

Frontier techniques, systems design and production ML

25
Fine-Tuning

Prereq: Large Language Model

open Fine-Tuning
26
Object DetectionOD

Prereq: Computer Vision, Convolutional Neural Network

open Object Detection
27
Generative Adversarial NetworkGAN

Prereq: Generative AI, Neural Network

open Generative Adversarial Network
28
Diffusion Model

Prereq: Generative AI

open Diffusion Model
29
Retrieval-Augmented GenerationRAG

Prereq: Large Language Model, Embedding, Vector Database

open Retrieval-Augmented Generation
30
Data Augmentation

Prereq: Machine Learning, Computer Vision, Overfitting

open Data Augmentation
31
MLOpsMLOps

Prereq: Machine Learning, Model Evaluation

open MLOps
32
Model Deployment

Prereq: MLOps, Machine Learning

open Model Deployment
33
Vector DatabaseVector DB

Prereq: Embedding

open Vector Database
34
Bias-Variance Tradeoff

Prereq: Machine Learning, Supervised Learning

open Bias-Variance Tradeoff
35
Feature Engineering

Prereq: Machine Learning

open Feature Engineering
36
Knowledge DistillationKD

Prereq: Deep Learning, Neural Network, Loss Function

open Knowledge Distillation
37
Latent Space

Prereq: Embedding

open Latent Space
38
AI AgentAgent

Prereq: Large Language Model

open AI Agent
39
PEFT / LoRALoRA

Prereq: Fine-Tuning

open PEFT / LoRA
40
QuantizationINT8 / INT4

Prereq: Model Deployment

open Quantization
41
Loop EngineeringLooping

Prereq: AI Agent

open Loop Engineering
42
AI HarnessingHarnessing

Prereq: Prompt Engineering

open AI Harnessing
43
Model Context ProtocolMCP

Prereq: AI Agent

open Model Context Protocol
44
Prompt InjectionInjection

Prereq: AI Agent

open Prompt Injection
45
AI GuardrailsGuardrails

Prereq: Prompt Injection

open AI Guardrails
46
Agent SkillSkill

Prereq: AI Agent

open Agent Skill
47
Sub-AgentSub-Agent

Prereq: AI Agent

open Sub-Agent
48
Tool CallingFunction Calling

Prereq: AI Agent

open Tool Calling
49
Agentic WorkflowAgentic Pattern

Prereq: AI Agent

open Agentic Workflow
50
Cross-ValidationK-Fold

Prereq: Model Evaluation

open Cross-Validation
51
RegularizationL1 / L2

Prereq: Overfitting, Loss Function

open Regularization
52
Confusion MatrixMetrics

Prereq: Model Evaluation, Supervised Learning

open Confusion Matrix
53
Hyperparameter TuningGridSearch

Prereq: Machine Learning, Cross-Validation

open Hyperparameter Tuning
54
Decision TreeRandom Forest

Prereq: Supervised Learning

open Decision Tree
55
Autoencoder / VAEAE

Prereq: Neural Network

open Autoencoder / VAE
56
Image Segmentation

Prereq: Object Detection, Computer Vision

open Image Segmentation
57
YOLO (You Only Look Once)YOLO

Prereq: Object Detection, Computer Vision

open YOLO (You Only Look Once)
58
Vision Transformer (ViT)ViT

Prereq: Transformer, Attention Mechanism

open Vision Transformer (ViT)
59
Chain-of-Thought (CoT)CoT

Prereq: Prompt Engineering, Large Language Model

open Chain-of-Thought (CoT)
60
In-Context LearningICL

Prereq: Prompt Engineering, Large Language Model

open In-Context Learning
61
RLHFRLHF

Prereq: Reinforcement Learning, Large Language Model

open RLHF
62
Multimodal AI

Prereq: Embedding

open Multimodal AI
63
Semantic Search

Prereq: Embedding, Vector Database

open Semantic Search
64
Chunking

Prereq: Retrieval-Augmented Generation

open Chunking
65
ReAct (Reason + Act)ReAct

Prereq: AI Agent, Tool Calling

open ReAct (Reason + Act)
66
Model Monitoring

Prereq: MLOps, Model Deployment

open Model Monitoring
67
Model Drift (Data & Concept Drift)

Prereq: Model Monitoring, MLOps

open Model Drift (Data & Concept Drift)
68
Feature Store

Prereq: Feature Engineering, MLOps

open Feature Store
69
Model Registry & Versioning

Prereq: MLOps, Model Deployment

open Model Registry & Versioning
70
Experiment Tracking

Prereq: Hyperparameter Tuning, MLOps

open Experiment Tracking
71
A/B Testing

Prereq: Model Deployment, Model Evaluation

open A/B Testing
72
Test-Time ComputeTTC

Prereq: Chain-of-Thought (CoT), Large Language Model

open Test-Time Compute
73
Mixture of ExpertsMoE

Prereq: Transformer, Deep Learning

open Mixture of Experts
74
Direct Preference OptimizationDPO

Prereq: RLHF, Fine-Tuning

open Direct Preference Optimization
75
Group Relative Policy OptimizationGRPO

Prereq: RLHF

open Group Relative Policy Optimization
76
Key-Value Cache & PagedAttentionKV Cache

Prereq: Attention Mechanism, Transformer

open Key-Value Cache & PagedAttention
77
Speculative DecodingSpeculative Decoding

Prereq: Large Language Model

open Speculative Decoding
78
Structured Outputs & JSON ModeStructured Outputs

Prereq: Prompt Engineering, Large Language Model

open Structured Outputs & JSON Mode