Learning Hub

Beginner · Python, OOP, async, testing

Beginner · Linear algebra, probability, logarithms, calc, weighted averages, information theory

Beginner · DSA theory, complexity, systems, CPU scheduling

Beginner · Regression, classification, logistic regression, eval, backtesting

Intermediate · Clustering, PCA, anomaly

Intermediate · Neural nets, CNN, RNN, PyTorch, compression

Beginner · Tokenization, stemming, normalize

Beginner · BoW, TF-IDF, Word2Vec, FastText

Intermediate · NER, POS, sentiment, LDA

Intermediate · Attention, self-attention

Intermediate · BERT, GPT, T5, Hugging Face

Intermediate · Sentence, document, similarity

Beginner · How LLMs work, tokens, models, sampling

Intermediate · Few-shot, CoT, structured out

Intermediate · OpenAI, Anthropic, Bedrock, reasoning budgets

Advanced · LoRA, QLoRA, RLHF, DPO

Intermediate · Context vs prompting, caching

Beginner · Architecture, embeddings, search

Intermediate · Docs, chunking, vectors, gen, retrieval

Advanced · Agentic RAG, graph RAG, multimodal

Advanced · Scaling, eval, cost, monitoring

Beginner · Definition, architectures, tools

Intermediate · LangChain, LangGraph, CrewAI

Intermediate · The 2025 standard for agents

Advanced · Supervisor, orchestration, comms, debate

Advanced · Memory, evaluation, production

Advanced · Checkpoints, interrupt, time travel, streaming, Send, Command, subgraphs, Store

Intermediate · Direct, indirect, prevention

Intermediate · Types, grounding, verification

Intermediate · NeMo, filtering, PII masking, fail-closed gates

Advanced · API keys, GDPR, HIPAA, audit

Intermediate · Bias, fairness, transparency

Advanced · Adversarial testing, automated

Beginner · Docker, compose, registries

Intermediate · AWS, GCP, Azure, serverless, nginx, TLS

Intermediate · LangSmith, logging, cost opt

Advanced · GitHub Actions, model versioning

Intermediate · Structure, clarifying Qs

Advanced · Context planning, token allocation

Advanced · Tiering, cost-aware routing

Advanced · Batch vs real-time, caching, SLAs

Advanced · Billions of docs, multi-tenant

Advanced · Orchestration, state, recovery

Advanced · Moderation, PII, kill switches

Advanced · 5 full design problems

Intermediate · Arrays, trees, graphs, DP, greedy scheduling, network flow

Advanced · Neural net, attention, backprop

Intermediate · Scaling, distributed, APIs, time-varying-cost scheduling

Advanced · RecSys, search, ranking, fraud, voice agents

Beginner · Framework, templates, practice

Intermediate · Narratives, impact, follow-ups

Intermediate · Cross-functional, conflict

Intermediate · Google, Meta, Amazon, MSFT

Intermediate · Structuring, Q&A strategies

Beginner · Tell me about yourself, why us

Intermediate · Grid carbon intensity, emission factors, AI energy

Advanced · Carbon-aware scheduling, tradeoffs, interviews

Intermediate · Forecasting, models (SARIMA→foundation), backtesting, Diebold-Mariano

Advanced · Probabilistic forecasting, conformal prediction, intervals, ensemble disagreement

Intermediate · PICO, screening, study designs, 2×2, OR/RR/RD/NNT/HR, meta-analysis, heterogeneity

Advanced · GRADE certainty, risk of bias, SoF, Evidence-to-Decision