SRS
🚀

Road to 40LPA

Mastering AI systems, LLMs, RAG, and modern data engineering to reach the next level of impact

Roadmap

Advanced Python – Production Level

Current

Master Python at production level for building scalable AI backends.

Deep OOP principlesDecoratorsContext managersAsync programming (async/await)Logging & error handlingPackaging & project structureWriting modular scalable codeVirtual environmentsDependency management with pip & poetry

Data Modeling & Warehousing

Upcoming

Build strong understanding of warehouse architecture for AI-ready data systems.

OLTP vs OLAPStar schemaSnowflake schemaFact & dimension tablesPartitioning & clusteringData normalization vs denormalization

BigQuery – Advanced SQL

Upcoming

Deep dive into scalable analytics and performance-focused SQL.

Window functionsPerformance optimizationPartitioning strategiesClustering techniquesQuery cost optimizationComplex joins & aggregations

System Design Fundamentals

Upcoming

Learn how large-scale systems are designed and optimized.

Scalability basicsLoad balancingCaching strategiesRate limitingAPI architectureMicroservices vs monolithMessage queues basics

ETL / ELT Pipelines

Upcoming

Design reliable data pipelines that feed AI systems.

Batch processingStreaming basicsData ingestion patternsData validationPipeline monitoringError handling in pipelines

LLM Architecture & Internals

Upcoming

Understand how LLMs work internally to design reliable AI systems.

Transformer overviewTokenizationEmbeddingsContext windowsTemperature & samplingHallucination causesFine-tuning vs RAG

Embeddings & Vector Databases

Upcoming

Learn semantic search and retrieval system foundations.

Cosine similarityVector indexingANN searchFAISSChromaPinecone basics

RAG Systems – Advanced

Upcoming

Build production-grade Retrieval-Augmented Generation systems.

Chunking strategiesContext rankingMetadata filteringHybrid searchMulti-document retrievalPrompt templating

FastAPI – Production Backend

Upcoming

Develop scalable AI backend APIs.

Async APIsStreaming responsesBackground tasksWebSocketsAuthenticationMiddlewareError handling

Docker & Deployment

Upcoming

Deploy AI systems reliably in production environments.

Docker basicsDockerizing FastAPI appsContainer networkingEnvironment variablesCI/CD pipelinesCloud deployment basics

Modern Data Stack

Upcoming

Build orchestration pipelines that integrate with AI workflows.

dbt transformationsAirflow / PrefectOrchestrationData lineageData testingMonitoring pipelines

AI + SQL Integration

Upcoming

Connect LLM systems with structured enterprise data.

Natural language to SQLSecure query generationContext-aware SQL promptsUser isolation strategiesQuery validation layers

AI Agents & Tool Usage

Upcoming

Design intelligent AI agents that can execute real-world tasks.

Function callingTool chainingExternal API integrationMulti-step reasoningFallback mechanisms

Cloud Architecture (GCP Focus)

Upcoming

Build scalable AI infrastructure in the cloud.

Cloud RunIAM & securitySecrets managementStorage integrationScalable API deployment

AI Observability & Monitoring

Upcoming

Make AI systems reliable, observable, and measurable.

Prompt versioningTracing & loggingModel evaluation metricsLatency trackingToken cost monitoring

Performance Optimization

Upcoming

Optimize AI systems for speed and cost efficiency.

Embedding cachingContext compressionRate limiting strategiesRetry mechanismsCost optimization

Enterprise AI Architecture

Upcoming

Design senior-level AI infrastructure suitable for enterprise use.

Multi-tenant AI systemsScalable vector infraSecurity best practicesProduction SLA designFailure recovery strategies