Coverage map

Covered here

• CPU, RAM, storage ka role
• Files aur processes
• Client vs server machine
• Cost vs speed trade-off

Not covered

• GPU internals aur chip architecture
• Operating system kernels aur device drivers
• Data-centre hardware planning

Covered here

• Variables, functions, loops
• Types aur TypeScript
• Frameworks kya karte hain
• Vite jaise build tools

Not covered

• Khud production code likhna (ye course reading ke liye hai, writing ke liye nahi)
• Algorithms aur data structures ki depth
• Language-specific mastery (Python, Go, Rust)

Covered here

• HTTP request/response
• HTML, CSS, JavaScript
• React aur rendering
• Server-side rendering
• Sessions aur state

Not covered

• Browser engine internals
• Advanced CSS architecture
• Local-first architecture & sync engines (Replicache/Electric)
• Real-time systems (websockets) ki depth

Covered here

• DNS aur domains
• HTTPS aur certificates
• CDN aur caching
• Latency aur bandwidth

Not covered

• TCP/IP aur routing protocols ki depth
• Network security appliances, VPN design
• Load balancer tuning

Covered here

• Tables, rows, relations
• SQL vs NoSQL
• Indexes aur slow queries
• Migrations aur backups

Not covered

• Query optimisation ki gehri practice
• Data warehousing aur analytics pipelines
• Sharding aur replication design

Covered here

• REST endpoints
• API keys aur permissions
• Webhooks aur retries
• Rate limits
• Git aur code review
• README, runbook aur decision log likhna

Not covered

• GraphQL ki depth
• Event-driven architecture patterns
• API versioning strategy at scale

Covered here

• Servers vs serverless
• Environments (dev, staging, prod)
• Deploys aur rollbacks
• Feature flags aur staged rollout
• Cloud billing basics

Not covered

• Kubernetes aur container orchestration
• Zero-maintenance global infrastructure (Edge-state, auto-scaling to zero)
• Infrastructure-as-code (Terraform) practice
• Multi-region architecture

Covered here

• Auth vs authorization
• Password hashing
• Secrets, .env config aur key rotation
• Common attacks (injection, XSS)
• Privacy aur data handling

Not covered

• Penetration testing khud karna
• Compliance audits (SOC 2, ISO) ki process
• Cryptography design

Covered here

• LLM kya hai aur kaise jawab banata hai
• Tokens, context window aur cost
• Prompts, embeddings, RAG aur fine-tuning ka farq
• Hallucination aur guardrails
• AI agents ka workflow
• Training pipeline: pretraining, fine-tuning, RLHF, parameters
• Hugging Face, model cards, open weights vs closed API, licence
• GPU vs CPU, VRAM math, quantisation — kaun sa model kahan chalega
• KV cache, batching, tokens per second, prompt caching aur hosting cost
• AI builders, Codex aur Claude Code workflows
• Context engineering, MCP aur tool contracts
• Prompt injection, scoped agent access, approvals aur sandboxes
• Evaluations, token budgets aur model choice

Not covered

• Khud model train karna (hands-on GPU practice)
• Transformer maths aur attention ki internal depth
• Production serving ka tuning aur multi-GPU setup
• Vector databases aur RAG ki gehri engineering

Covered here

• Manual aur automated testing
• Debugging ka tarika
• Logs, metrics, alerts
• Background jobs, cron aur silent failures
• Incident response aur postmortem

Not covered

• Load testing at scale
• Chaos engineering
• On-call rotation design for big teams

Covered here

• Accessibility basics
• Mobile vs desktop vs web choices
• Payments aur pricing
• Analytics aur privacy
• Licences
• Transactional email, SPF/DKIM/DMARC aur delivery events
• SEO metadata, sitemaps, structured data aur canonical URLs
• Localisation, Unicode, Hindi/Indic text aur locale formats
• Data minimisation, consent, deletion/export aur DPDP awareness

Not covered

• Deep UX research methods
• Game engine development
• Native mobile app store operations