Nijith Pavithran Job oriented Full Stack .net core training with AI
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What I teach, I have 18 years experience working in companies like Intel, UST Global, TCS, etc

Student laptop environment setup and troubleshooting (Windows / macOS / Linux).
Why we write code: problem framing, requirements, and how software solves business problems.
How requirements arrive in real software companies and daily engineering workflows (tickets, standups, CI/CD).
Full C#, .NET Core from basics to advanced patterns.
SQL + database design, optimization and deployment.
HTML/CSS from basics to advanced with live web projects.
ASP.NET Core MVC (end-to-end) with live project builds and deployment.
JavaScript, TypeScript and modern frameworks (Angular and common ecosystems).
Software design: design patterns, clean architecture, dependency injection.
Security: ASP.NET Identity and secure authentication/authorization practices.
Production tooling: error logging with Serilog, observability and monitoring.
Integrations: payment gateway integration and secure transaction flows.
Cloud publishing: Web + API + SQL deployment to Azure (Docker/Containers, hosting, CI/CD).
Real-time project work to reinforce concepts and build portfolio artifacts.

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Advanced & Production topics
------------------------------------------
Microservices and micro-frontend architectures.
Troubleshooting production with Splunk and other logging/observability tools.
Customer behavior analysis and “glass box” techniques for production insights.
Advanced production debugging strategies, routing, orchestration, parallelization.

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Data Science & AI module
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Foundations: statistics, probability, EDA, preprocessing.
Machine learning essentials, feature engineering, model evaluation.
Deep learning for NLP (RNN/LSTM, embeddings) and custom BERT fine-tuning.
Transformer architecture, tokenization, LLM fundamentals, prompt engineering.
RAG systems design, vector stores, chunking, retrieval, evaluation.
LangChain & LangGraph for agentic workflows, multi-agent orchestration.
Deploy & optimize AI services (FastAPI, Docker, Azure), inference optimization, caching and monitoring.

Feel free to enquire more

Thanks and Regards,
Kasmeera C S

Subjects

  • SQL Expert

  • JavaScript Expert

  • Azure Expert

  • C# .NET Expert

  • ASP.NET Core Expert


Experience

No experience mentioned.

Education

  • B tech in Computer Science (Aug, 2008May, 2011) from B tech
  • Govt Poly technic (Jul, 2005Apr, 2008) from Govt Poly Technic Collage

Fee details

    25100/hour (US$0.261.05/hour)

    What I teach, I have 18 years experience working in companies like Intel, UST Global, TCS, etc

    Student laptop environment setup and troubleshooting (Windows / macOS / Linux).
    Why we write code: problem framing, requirements, and how software solves business problems.
    How requirements arrive in real software companies and daily engineering workflows (tickets, standups, CI/CD).
    Full C#, .NET Core from basics to advanced patterns.
    SQL + database design, optimization and deployment.
    HTML/CSS from basics to advanced with live web projects.
    ASP.NET Core MVC (end-to-end) with live project builds and deployment.
    JavaScript, TypeScript and modern frameworks (Angular and common ecosystems).
    Software design: design patterns, clean architecture, dependency injection.
    Security: ASP.NET Identity and secure authentication/authorization practices.
    Production tooling: error logging with Serilog, observability and monitoring.
    Integrations: payment gateway integration and secure transaction flows.
    Cloud publishing: Web + API + SQL deployment to Azure (Docker/Containers, hosting, CI/CD).
    Real-time project work to reinforce concepts and build portfolio artifacts.

    =====================================================================================

    Advanced & Production topics
    -----------------------------------------

    Microservices and micro-frontend architectures.
    Troubleshooting production with Splunk and other logging/observability tools.
    Customer behavior analysis and “glass box” techniques for production insights.
    Advanced production debugging strategies, routing, orchestration, parallelization.
    ======================================================================================

    Data Science & AI module
    -----------------------------------
    Foundations: statistics, probability, EDA, preprocessing.
    Machine learning essentials, feature engineering, model evaluation.
    Deep learning for NLP (RNN/LSTM, embeddings) and custom BERT fine-tuning.
    Transformer architecture, tokenization, LLM fundamentals, prompt engineering.
    RAG systems design, vector stores, chunking, retrieval, evaluation.
    LangChain & LangGraph for agentic workflows, multi-agent orchestration.
    Deploy & optimize AI services (FastAPI, Docker, Azure), inference optimization, caching and monitoring.


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