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Complete Python from basics to advanced. OOP, data structures, and frameworks.
Enterprise Java. Core Java, Collections, Multithreading, and Spring.
Modern JS ES6+. Closures, async/await, DOM, and design patterns.
Type-safe JavaScript. Interfaces, generics, and React/Node integration.
Programming foundation. Pointers, memory management, and systems.
Object-oriented C++. STL, templates, and competitive programming.
Memory-safe systems programming. Ownership and async Rust.
Concurrent programming. Goroutines, channels, and microservices.
Modern React with Hooks, Context, Redux, and best practices.
Server-side JavaScript. Express, REST APIs, and microservices.
Progressive framework. Composition API, Vuex, and Nuxt.js.
Enterprise frontend. Components, services, RxJS, and Material.
React framework. SSR, SSG, API routes, and full-stack dev.
Web fundamentals. Flexbox, Grid, animations, responsive design.
Utility-first CSS. Responsive design and component patterns.
Server-side web. MVC, Eloquent ORM, and API development.
Complete MySQL. Queries, indexing, transactions, and optimization.
Advanced Postgres. JSON, full-text search, and performance tuning.
Enterprise Oracle. PL/SQL, partitioning, and administration.
Microsoft SQL Server. T-SQL, SSIS, SSRS, and enterprise features.
Core SQL. SELECT, JOINs, subqueries, and query optimization.
Lightweight embedded database for mobile and desktop apps.
Document database. CRUD, aggregation, replica sets, and sharding.
In-memory data store. Caching, pub/sub, and Redis Cluster.
Wide-column database. Distributed architecture and CQL.
AWS managed NoSQL. Partition keys, GSI, and serverless.
Google's platform. Firestore, Realtime DB, and Cloud Functions.
Search engine. Full-text search, aggregations, and ELK stack.
Graph database. Cypher query language and knowledge graphs.
Document DB with sync. Offline-first apps and replication.
Amazon Web Services. EC2, S3, Lambda, and Solutions Architect.
Azure cloud. Virtual Machines, App Services, and AKS.
GCP. Compute Engine, BigQuery, Cloud Functions, and GKE.
Container orchestration. Pods, Services, Deployments, and Helm.
Containerization. Images, containers, and Docker Compose.
Infrastructure as Code. HCL, modules, and multi-cloud.
FaaS architecture. AWS Lambda, Azure Functions, and events.
Design patterns. Microservices, scaling, and reliability.
CI/CD automation. Pipelines, plugins, and distributed builds.
GitLab DevOps. Pipelines, runners, and GitOps workflows.
Workflow automation. Actions, matrix builds, and reusables.
Configuration management. Playbooks, roles, and automation.
Monitoring. Metrics, alerting, dashboards, and SRE practices.
Version control. Branching, merging, rebasing, and workflows.
Security in DevOps. SAST, DAST, and secure pipelines.
SRE principles. SLIs, SLOs, error budgets, and incidents.
Big Data ecosystem. HDFS, MapReduce, and YARN.
Unified analytics. RDDs, DataFrames, Spark SQL, and MLlib.
Distributed streaming. Producers, consumers, and Streams.
Data warehouse. HiveQL, partitioning, and optimization.
Workflow orchestration. DAGs, operators, and pipelines.
Cloud data warehouse. Architecture and data sharing.
Unified analytics. Delta Lake, MLflow, and lakehouse.
ETL pipelines, data modeling, and modern data stack.
ML fundamentals. Supervised, unsupervised, and scikit-learn.
Neural networks, CNNs, RNNs, and TensorFlow/PyTorch.
Natural Language Processing. Embeddings, BERT, GPT, LLMs.
Image processing, object detection, and OpenCV/YOLO.
Deep learning framework. Tensors, autograd, and deployment.
Google's ML framework. Keras, TensorBoard, and TF Lite.
End-to-end data science. EDA, modeling, and storytelling.
ChatGPT, prompt engineering, LangChain, and RAG.
Arrays, trees, graphs, heaps, and hash tables with code.
Sorting, DP, greedy, backtracking, and graph algorithms.
Scalable systems. Load balancing, caching, and case studies.
Coding patterns. Two pointers, sliding window, BFS/DFS.
OOD principles, design patterns, SOLID, and LLD.
RESTful APIs, GraphQL, gRPC, and security best practices.
OWASP Top 10, XSS, CSRF, and secure coding practices.
JWT, OAuth 2.0, OpenID Connect, SSO, and identity.
Firewalls, VPNs, TLS/SSL, and network hardening.
IAM, security groups, encryption, and compliance.
Jest, JUnit, pytest, mocking, and TDD practices.
Web automation. WebDriver, locators, and Page Object.
Modern E2E testing. Commands, assertions, and CI/CD.
Postman, REST Assured, contract testing, and automation.
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