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.

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.

Master DVC for data versioning, pipeline automation, and ML experiment tracking. Learn data-centric MLOps with hands-on examples.

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.

Master Cassandra: distributed database architecture, data modeling, consistency levels, and scale-out strategies.

Master CouchDB: document database with HTTP API, multi-master replication, and eventual consistency.

Master Riak: distributed key-value database with high availability, fault tolerance, and operational simplicity.

Master ClickHouse: columnar analytics database, query optimization, and real-time analytics at scale.

Master DynamoDB: serverless NoSQL, partition keys, global tables, and cost optimization strategies.

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

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

Master Amazon Neptune: fully managed graph database, property graphs, RDF, Gremlin, and SPARQL queries.

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

Master Google Cloud Spanner: globally distributed SQL database, ACID transactions, and horizontal scaling.

Master Azure Cosmos DB: globally distributed multi-model database, consistency levels, and turnkey scaling.

Master CockroachDB: distributed SQL, ACID transactions, resilience, and global database architecture.

Master DuckDB: in-process analytical database, OLAP queries, and high-performance analytics.

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

Master PgBouncer: PostgreSQL connection pooling, performance optimization, and resource management.

Master Redis: caching strategies, data structures, pub/sub, clustering, and performance optimization.

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

Master Varnish Cache: HTTP acceleration, VCL configuration, cache invalidation, and CDN integration.

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.

Master RabbitMQ: message queuing, AMQP protocol, routing patterns, and reliable messaging.

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

Master ActiveMQ: JMS messaging, enterprise integration patterns, and reliable message delivery.

Master Apache RocketMQ: transactional messaging, scheduled delivery, distributed queues, and high-throughput messaging.

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.

Master GraphQL: query language, schema design, resolvers, and API optimization strategies.

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.

Understand HTTP/2 and HTTP/3: multiplexing, server push, QUIC protocol, and performance.

Master proxies and load balancing: algorithms, health checks, and traffic distribution.

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

Master Docker: containerization, Dockerfile best practices, image optimization, and container orchestration.

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.

Understand service mesh: traffic management, security, observability in microservices.

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

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

Master Jenkins: CI/CD pipelines, automation, plugin ecosystem, and pipeline as code.

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

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

Master JWT: token-based authentication, claims, security best practices, and implementation.

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

Master Vault: secrets management, dynamic credentials, encryption as a service, and security automation.

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.

Master Apache Spark: distributed computing, data processing, stream analytics, and ML pipelines.

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.

Master lxml: high-performance XML/HTML parsing, XPath queries, and XSLT transformations.

Master database replication and sharding: strategies, trade-offs, and implementation.

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.

Master circuit breakers: failure isolation, cascading failure prevention, and resilient system design.

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

Master chaos engineering: failure injection, resilience testing, and building anti-fragile systems.

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

Master Consul: service discovery, configuration management, service mesh, and multi-datacenter.

Master etcd: distributed key-value store, consensus algorithms, and configuration management.

Master Apache Zookeeper: distributed coordination service, leader election, configuration management, and synchronization.

Master Temporal: durable workflow execution, failure handling, and distributed application orchestration.

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

Master Apache Parquet: columnar storage format, compression, schema evolution, and analytics optimization.

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.

Master Apache YARN: resource management, job scheduling, and cluster orchestration in Hadoop.

Master Apache Pig: data flow scripting, Pig Latin language, and ETL processing on Hadoop.

Master Apache Oozie: workflow scheduling, job orchestration, and coordinator jobs in Hadoop.

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.

Master Amazon Redshift: cloud data warehouse, performance tuning, distribution styles, and cost optimization.

Master Amazon Kinesis: real-time data streaming, Kinesis Data Streams, Firehose, and Analytics.

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

Master Amazon CloudWatch: monitoring, metrics, alarms, logs, and observability best practices.

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.

Master Ludwig: declarative machine learning, low-code ML workflows, and automated model building.

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

Master Go concurrency: goroutines, channels, select statements, and communicating sequential processes.

Master Beautiful Soup: HTML parsing, web scraping, DOM navigation, and content extraction with Python.

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

Master langid.py: automatic language detection, multilingual text processing, and language identification.

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

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

Master Firebase Data Connect: GraphQL APIs over Cloud SQL, serverless backend integration, and data layer abstraction.

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.

Master penetration testing frameworks: Metasploit, exploitation techniques, security assessment tools, and testing methodologies.

Master threat intelligence platforms: IOC management, TTP analysis, threat feeds, and intelligence-driven security operations.

Master attack simulation frameworks: CALDERA, Atomic Red Team, breach attack simulation, and adversarial automation platforms.

In-memory data structure store used as database, cache, and message broker

Scalable cloud storage for modern distributed applications

High-performance distributed memory caching system

HTTP accelerator designed for content-heavy dynamic web sites

In-memory data grid for distributed computing, caching, and real-time stream processing

Distributed search and analytics engine built on Apache Lucene

Enterprise message broker implementing AMQP for reliable message delivery

Distributed event streaming platform for high-throughput data pipelines

Cloud-native distributed messaging and streaming platform

Multi-protocol enterprise messaging broker

Fully managed message queuing service for decoupling applications

Advanced open-source relational database with extensive feature set

Document-oriented NoSQL database for modern applications

Wide-column NoSQL database designed for handling large amounts of data across many commodity servers

Column-oriented database management system for online analytical processing

Fully managed NoSQL database service with single-digit millisecond performance

World's most popular open-source relational database

Self-contained, serverless, zero-configuration database engine

Time series database designed for high-write and query loads

Graph database platform for connected data and complex relationships

High-performance web server, reverse proxy, and load balancer

Container orchestration platform for automated deployment and scaling

Package manager for Kubernetes applications

Containerization platform for packaging and running applications

Open-source monitoring and alerting toolkit with a dimensional data model

Multi-platform open source analytics and interactive visualization web application

Query language and runtime for APIs that provides a complete description of data

High-performance RPC framework that can run in any environment

Infrastructure as code tool for building, changing, and versioning infrastructure safely

Traffic management and distribution for scalable system architectures

Agentless automation tool for configuration management

Master the dedicated infrastructure layer for microservices communication and security

Master comprehensive monitoring strategies with metrics, logs, and traces for system visibility and reliability

Service mesh that provides secure service-to-service communication

Unified analytics engine for large-scale data processing with built-in modules

Database distribution patterns for scalable data architecture

Master the storage engine internals behind modern NoSQL databases

Distributed hashing technique for scalable data distribution

Master concurrent and parallel programming patterns for high-performance applications

Master the tree data structure optimized for string operations and prefix matching

Full-duplex communication protocol for real-time web applications

Peer-to-peer real-time communication for web and mobile applications

Different API architectural styles and when to use each approach

Master the art of designing developer-friendly, scalable, and maintainable APIs

Modern web protocols for improved performance and efficiency

Transport layer protocols for reliable and fast network communication

Comprehensive cloud computing platform with 200+ services

Google's cloud computing services with AI and ML focus

Microsoft's cloud platform for enterprise applications

Open-source automation server for CI/CD pipelines

Integrated DevOps platform with built-in CI/CD capabilities

Authorization framework for secure API access

Compact, URL-safe means of representing claims between parties

Open-source identity and access management solution

Distributed computing programming model for processing large datasets

Real-time data processing systems for continuous data streams

Master the architectural pattern that stores events as the source of truth with separated command and query models

Master the resilience pattern that prevents cascading failures in distributed systems

Master traffic control patterns that protect APIs and services from overload while maintaining fair resource allocation

Master building resilient systems through controlled failure testing and systematic reliability experiments

Service discovery, configuration management, and service mesh platform for dynamic infrastructure

Secrets management platform for securing, storing, and controlling access to sensitive data

Durable execution platform for reliable workflow orchestration and distributed business logic

Distributed key-value store for critical data with strong consistency and coordination primitives