My Journey to Master Modern AI, ML, GenAI, NLP, CV, IoT, and Advanced Modeling
Master Skill Index
Expand a category and tick topics as you learn them — progress is saved automatically.
Overall Learning Progress
0 / 72 topics learned
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The Book
Each category will become a full chapter page with concepts, examples, and notes. Links activate as chapters are written.
Projects
Hands-on builds planned to reinforce each learning area.
Classify new products with limited labels using embeddings and few-shot techniques.
Not Started View Details →Unified recommender across multiple product lines using multi-task learning.
Not Started View Details →Detect fraudulent patterns using GNNs on transaction and entity graphs.
Not Started View Details →Unsupervised anomaly detection on sensor streams using reconstruction error.
Not Started View Details →Transfer learning on chest X-rays or pathology slides for disease classification.
Not Started View Details →Transformer-based forecasting for demand or sensor time-series.
Not Started View Details →Fuse text, image, and audio features for richer downstream predictions.
Not Started View Details →Learn graph embeddings for entity similarity and retrieval tasks.
Not Started View Details →Production-style retrieval-augmented generation with evaluation and guardrails.
Not Started View Details →Agentic workflow that plans, calls tools, and completes multi-step tasks.
Not Started View Details →Roadmap
A structured path from fundamentals to portfolio projects.
LLMs, prompting, fine-tuning, RAG basics.
Attention, BERT/GPT variants, text tasks.
Collaborative filtering, graph recommenders, cold-start.
GNNs, embeddings, anomaly detection.
CNNs, ViTs, detection, segmentation.
Forecasting, autoencoders, sensor fusion.
Feature stores, monitoring, CI/CD.
ML architecture, real-time inference, scaling.
Apply skills to the projects listed above.
Resources
Curated references for each learning area.
Key research papers and surveys.
Online courses and specializations.
Codebases and reference implementations.
Foundational and advanced texts.
Practitioner blogs and tutorials.
Video lectures and walkthroughs.