Fignix course library
Learn the systems
behind modern intelligence.
Deep courses for engineers building AI, data, search, and infrastructure systems.
Course library
AI engineering
Models, retrieval, agents, evaluation, multilingual systems, and production inference.
AI infrastructure
LLM Inference Optimization
Understand high performance serving through KV cache economics, batching, kernels, scaling, and production tradeoffs.
AI quality engineering
AI Evals
Evaluate LLM, RAG, conversational, tool-using, agentic, MCP, safety, release, and production behavior with defensible evidence.
Agent reliability engineering
Durable Agents
Master Temporal and LangGraph independently, then combine their histories, checkpoints, retries, human review, and idempotent effects.
Knowledge and retrieval engineering
RAG Engineering
Build a governed retrieval system over a corpus with real relevance judgments, and measure every claim against them — including the ones where the measurement contradicts the received wisdom.
Language model foundations
Build an LLM from Scratch
Write a decoder-only transformer in readable PyTorch, train it on Shakespeare until it writes verse, and measure every part — including where the usual explanation turns out to be wrong.
India-first multimodal AI
Sarvam AI Engineering
Build multilingual text, speech, voice-agent, and document systems with explicit evaluation, safety, privacy, and production contracts.
Autonomous systems engineering
Agentic AI Engineering
Build bounded agents from the Python control loop through tools, memory, planning, protocols, security, durability, evaluation, and production.
Data systems
Streaming, search, lakehouse internals, and production vector retrieval.
Distributed data
Streaming Processing with Kafka & Flink
Build reliable stream processing systems from partitions and event time to checkpoints, state, and production operations.
Search engineering
Apache Solr
Master search systems from schema and relevance to SolrCloud, vector retrieval, hybrid search, LTR, and operations.
Lakehouse engineering
Apache Iceberg
Learn table format internals through metadata, snapshots, evolution, catalogs, row level changes, and maintenance.
Vector databases
Vector Search with Qdrant
Engineer accurate vector retrieval through filtering, hybrid search, HNSW tuning, multitenancy, distributed operation, and recovery.
PostgreSQL vector search
Vector Search with pgvector
Engineer exact and approximate similarity search with HNSW, IVFFlat, filtering, hybrid retrieval, recall measurement, and PostgreSQL operations.
Assurance
Technical and nontechnical security assurance for modern cloud and AI products.
Fignix Talent
Turn learning into
demonstrated capability.
Complete courses, take structured assessments, and build a reusable competency profile for relevant roles.
Open Fignix Talent →