Technology Deep Dives

Master LangChain framework: building LLM applications, chains, agents, and AI orchestration patterns.

Build multi-agent systems with AutoGen: conversational AI, code generation, and collaborative AI workflows.

Orchestrate AI teams with CrewAI: role-based agents, team coordination, and collaborative AI workflows.

Integrate OpenAI APIs: GPT models, embeddings, function calling, and production implementation patterns.

Understand Model Context Protocol: clients, servers, tools, resources, prompts, transport, and production integration trade-offs.

Build data-augmented LLM apps with LlamaIndex: document indexing, RAG workflows, and data connectors.

Master vector databases: embeddings storage, similarity search, indexing strategies, and RAG optimization.

Master FAISS (Facebook AI Similarity Search): vector indexing, similarity search optimization, and production deployment patterns.

Master PyTorch for production ML systems: distributed training, FSDP, optimization, and real-world deployment patterns.

Deploy TensorFlow in production ML systems: TF Serving, XLA optimization, TPU deployment, and enterprise scaling.

Manage ML lifecycle with MLflow: experiment tracking, model registry, deployment, and MLOps workflows.

Use DVC for reproducible data and pipelines through content-addressed caches, remotes, dependency invalidation, publication ordering, recovery, and provenance.

Optimize LLM serving with vLLM: high-performance inference, memory optimization, and scalable deployment.

Master MySQL: database design, optimization, scaling, replication, and production deployment strategies.

Master PostgreSQL: advanced features, performance tuning, extensions, and enterprise database management.

Master MongoDB: document modeling, indexing, aggregation, sharding, and NoSQL best practices.

Master SQLite: embedded database design, optimization, mobile apps, and local storage patterns.

Learn Cassandra partition keys, replica placement, consistency levels, data modeling, compaction, repair, failure behavior, and recovery.

Design production CouchDB systems with revision-aware writes, deterministic conflict resolution, partitioned queries, indexes, and replication.

Learn Riak through consistent hashing, vnodes, tunable quorums, sloppy quorum, hinted handoff, sibling resolution, read repair, anti-entropy, and recovery.

Design ClickHouse systems with workload-aligned ORDER BY keys, sustainable insert batching, merge headroom, measured query pruning, and tested recovery.

Learn DynamoDB access-pattern modeling, partition distribution, secondary indexes, capacity modes, consistency, streams, and recovery.

Master InfluxDB: time-series data management, query optimization, and monitoring infrastructure.

Master Neo4j: graph database modeling, Cypher queries, and building knowledge graph applications.

Learn Neptune graph modeling, property graphs and RDF, traversal planning, replicas, failover, bulk loading, security, and cost.

Master ArangoDB: native multi-model database, graph, document, and key-value in one platform with AQL.

Learn Spanner external consistency, primary-key hotspots, stale reads, retryable transactions, multi-region quorums, and recovery.

Learn Azure Cosmos DB request units, partition-key design, consistency, multi-region routing, throttling, and production recovery.

Design CockroachDB systems with ranges, Raft replication, key distribution, serializable retries, multi-region locality, and recovery.

Design DuckDB workloads with embedded OLAP, Parquet scans, projection and filter pushdown, memory bounds, concurrency, and workload-fit decisions.

Master pgvector: PostgreSQL vector extension, HNSW indexes, similarity search, and RAG integration.

Operate PgBouncer with explicit connection budgets, pooling compatibility, bounded queues, TLS boundaries, failover procedures, and rollout evidence.

Learn Redis data structures, cache sizing, eviction, persistence, replication, Sentinel failover, Cluster, Pub/Sub, and Streams.

Implement Memcached: distributed caching, memory optimization, cache strategies, and performance tuning.

Design Varnish caching with safe cache identity, VCL policy, grace, request coalescing, invalidation, and origin-pressure recovery.

Master Hazelcast IMDG: in-memory data grid, distributed computing, and high-performance caching.

Master object storage: S3, blob storage, data lakes, and scalable storage architectures.

Master Apache Kafka: event streaming, distributed logs, real-time data pipelines, and production patterns.

Design RabbitMQ systems with explicit routing, publisher confirms, durable quorum queues, safe acknowledgements, idempotency, and bounded retries.

Master Apache Pulsar: multi-tenant messaging, geo-replication, and unified streaming platform.

Design Apache ActiveMQ systems with queue capacity, flow control, persistence, redelivery, dead letters, failover, and idempotent consumers.

Design Apache RocketMQ systems with typed topics, FIFO groups, delayed and transactional messages, capacity planning, retries, and idempotent consumers.

Master Amazon SQS: managed message queuing, serverless messaging, and AWS integration patterns.

Master Elasticsearch: full-text search, analytics, distributed indexing, and ELK stack integration.

Master AWS: cloud services, architecture patterns, cost optimization, and enterprise solutions.

Master GCP: Google Cloud services, data analytics, machine learning, and cloud architecture.

Master Azure: Microsoft cloud services, enterprise integration, hybrid cloud, and Azure DevOps.

Interactive API design tool: calculate quality scores, analyze performance metrics, and optimize API architecture.

Design production GraphQL APIs with schemas, operation budgets, resolver batching, partial failures, admission control, and observability.

Master gRPC: high-performance RPC framework, protocol buffers, and microservices communication.

Master WebSocket: real-time bidirectional communication, protocol details, and implementation patterns.

Master WebRTC: peer-to-peer communication, video/audio streaming, and real-time collaboration.

Compare API paradigms: REST, GraphQL, gRPC, and WebSocket for different use cases.

Master NGINX: web serving, reverse proxy, load balancing, and high-performance configuration.

Learn HTTP/2 and HTTP/3 framing, multiplexing, HPACK, QPACK, QUIC loss recovery, 0-RTT safety, negotiation, fallback, rollout, and observability.

Design production proxies and load balancers with explicit trust boundaries, health signals, retry budgets, overload control, and failure reserves.

Compare UDP and TCP: protocols, use cases, reliability vs speed trade-offs.

Learn Docker image construction, build cache behavior, runtime boundaries, storage, networking, secrets, and container replacement.

Master Kubernetes: container orchestration, cluster management, deployments, and cloud-native architecture.

Master Helm: Kubernetes package management, chart development, and application deployment.

Master Istio: service mesh architecture, traffic management, security, and observability.

Learn service mesh control and data planes, workload identity, bounded resilience, authorization, failure modes, and adoption decisions.

Master Terraform: infrastructure as code, multi-cloud provisioning, state management, and modules.

Master Ansible: configuration management, automation playbooks, and infrastructure orchestration.

Learn Jenkins controllers, agents, executors, Pipeline as Code, capacity, credential isolation, plugins, upgrades, and recovery.

Master GitLab CI/CD: pipeline configuration, runners, DevOps workflows, and automation.

Master OAuth 2.0: authorization framework, grant types, security flows, and implementation patterns.

Learn JWT structure, JOSE validation, issuer and audience policy, key rotation, replay boundaries, sessions, and revocation.

Master Keycloak: identity and access management, SSO, federation, and enterprise authentication.

Operate HashiCorp Vault with workload identity, least-privilege policy, dynamic credential leases, revocation, audit durability, sealing, and Raft recovery.

Master Prometheus: metrics collection, PromQL, alerting, and monitoring infrastructure.

Master Grafana: dashboard creation, data visualization, alerting, and monitoring integration.

Master observability: distributed tracing, logging, metrics, and modern observability practices.

Design Spark workloads with partition sizing, shuffle and skew control, executor memory, retries, lineage recovery, and production operations.

Master MapReduce: distributed data processing paradigm, Hadoop ecosystem, and parallel computing.

Master stream processing: real-time data processing, event streaming, and streaming architectures.

Master Apache Flink: stateful stream processing, event time semantics, exactly-once processing, and production deployment.

Master Google Cloud Dataflow: unified batch and stream processing, Apache Beam pipelines, auto-scaling, and serverless data processing.

Master Apache Iceberg: table format, data lakes, ACID transactions, and lakehouse architecture.

Learn lxml tree and streaming parsing, compiled XPath, schema validation, memory envelopes, and secure parser policy.

Design replication and sharding with workload-aware shard keys, consistency contracts, routing, lag control, hotspot detection, rebalancing, and recovery.

Master SSTables and LSM trees: write-optimized storage engines and compaction strategies.

Master consistent hashing: distributed data partitioning, virtual nodes, and scalable system design.

Master concurrency patterns: threads, locks, async programming, and actor models.

Master Trie data structures: efficient string storage, autocomplete, and pattern matching.

Design circuit breakers with explicit failure classification, rolling-window trip policy, bounded recovery probes, and observable fallback behavior.

Master rate limiting: algorithms, distributed rate limiting, and API protection strategies.

Design bounded chaos experiments with steady-state evidence, abort conditions, failure injection, and resilient recovery policies.

Master GPU scheduling in Kubernetes: NVIDIA GPU Operator, multi-GPU workloads, resource optimization, and ML infrastructure.

Learn Consul service discovery, health semantics, gossip and Raft, caching, ACLs, service mesh, federation, quorum recovery, and production operations.

Learn etcd quorum, linearizable reads, revisions, transactions, watches, leases, maintenance, TLS, observability, and disaster recovery.

Design ZooKeeper systems with quorum placement, ordered writes, sessions, ephemeral ownership, watches, fencing, and failure recovery.

Design Temporal workflows with deterministic replay, idempotent Activities, bounded retries, Task Queue operations, safe deployment, and recovery evidence.

Master event sourcing and CQRS: event-driven architecture, audit logs, and temporal queries.

Learn Apache Parquet file layout, column pruning, row-group statistics, encoding, compression, and safe schema evolution.

Master Apache ORC: Optimized Row Columnar format, ACID transactions, compression, and Hive integration.

Master Apache Lucene: full-text search engine library, inverted indexes, scoring, and search optimization.

Master YOLO: real-time object detection, single-stage detection, bounding boxes, and computer vision.

Master Hadoop and HDFS: distributed storage, MapReduce processing, and big data architecture patterns.

Master Apache Hive: SQL on Hadoop, data warehousing, partitioning strategies, and query optimization.

Master Apache HBase: NoSQL on Hadoop, column-family storage, real-time big data access patterns.

Operate Apache YARN with explicit container envelopes, queue policy, locality trade-offs, recovery boundaries, observability, security, and rollout evidence.

Operate Apache Pig pipelines with typed dataflows, measured join strategies, shuffle-skew controls, UDF contracts, diagnostics, and safe publishing.

Operate and migrate Apache Oozie workflows using coordinator data contracts, deterministic actions, rerun safety, HA evidence, and controlled backfills.

Master Amazon EMR: managed Hadoop and Spark, cluster configuration, cost optimization, and best practices.

Master Amazon Athena: serverless SQL analytics, S3 querying, partitioning, and cost optimization.

Master AWS Glue: serverless ETL, data catalog, crawlers, and data integration patterns.

Master Amazon SageMaker: end-to-end ML platform, model training, deployment, and MLOps workflows.

Learn Redshift MPP architecture, distribution and sort choices, query plans, workload management, ingestion, cost, and recovery.

Design Amazon Kinesis streams with shard capacity, partition-key distribution, consumer recovery, retention, and replay-safe processing.

Master Amazon CloudFront: CDN setup, edge locations, caching strategies, and security features.

Learn CloudWatch metric identity, dimension cardinality, structured logs, alarm evaluation, missing-data policy, and incident response.

Master Amazon ECS and Fargate: container orchestration, serverless containers, and deployment patterns.

Master AWS Step Functions: serverless workflow orchestration, state machines, and integration patterns.

Master Apache Airflow: DAG creation, operators, scheduling, and production deployment patterns.

Master Apache NiFi: visual data flow automation, processors, and real-time data integration.

Master Databricks: unified analytics platform, lakehouse architecture, and collaborative data science.

Master Snowflake: cloud data warehouse, virtual warehouses, data sharing, and performance optimization.

Master Google BigQuery: serverless data warehouse, partitioning, clustering, and cost optimization.

Master DataDog: full-stack observability, APM, infrastructure monitoring, and alerting strategies.

Master Kibana: Elasticsearch visualization, dashboards, log analysis, and the ELK stack.

Master cloud-native technologies: CNCF landscape, patterns, best practices, and architecture.

Design Ludwig systems with typed feature contracts, preprocessing, declarative training, evaluation, serving compatibility, and release controls.

Master AutoML: automated machine learning, neural architecture search, and hyperparameter optimization.

Design Go concurrency with goroutines, channels, bounded worker pools, cancellation, backpressure, ownership, and production failure handling.

Learn Beautiful Soup parse trees, CSS selectors, parser choices, robust extraction, and responsible Python scraping workflows.

Master fastText: efficient text classification, word embeddings, and subword modeling for NLP.

Use langid.py for candidate-scoped language identification, uncertainty-aware routing, evaluation, and safe multilingual fallbacks.

Master SimHash & MinHash: locality-sensitive hashing, duplicate detection, and efficient similarity estimation.

Master perceptual hashing: pHash, dHash, image similarity detection, and visual duplicate identification.

Learn Firebase Data Connect schemas, connectors, generated SDKs, PostgreSQL queries, authorization, deployment, and operations.

Master boilerplate detection: content extraction from web pages, DOM analysis, and main content identification algorithms.

Build red team infrastructure: command & control systems, payload delivery, operational security, and infrastructure automation.

Plan authorized penetration tests with rules of engagement, safe framework use, evidence chains, validation, and remediation retests.

Learn threat intelligence platforms through STIX/TAXII, indicator triage, confidence decay, TLP sharing, integrations, and feedback loops.

Learn to scope attack simulations, use Atomic Red Team or CALDERA, correlate telemetry, and validate detection and response evidence.