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Kindly recommend some self help books!
Any one knows which company ctc is this?

Tata Consultancy What is the maximum salary i can ask in TCS ? I have my Hr round on 9th of August.
Im from mainframe background playing a project lead / Architect role with 12.5 yoe. My ccts is 23 lpa. Im also expecting promotion in another month or too .
Considering all this factor i am thinking to as minimum 34 LPA .
PLEASE pour your suggestions.
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Path to Learn GenAI for a .NET Developer (6 Years Experience)
1. AI & ML Fundamentals
- Understand machine learning basics: supervised vs. unsupervised learning, neural networks.
- Learn transformers & LLMs: how models like GPT work.
- Study embeddings, vector search, and RAG (Retrieval-Augmented Generation).
2. Generative AI Concepts
- Prompt engineering: crafting effective prompts for LLMs.
- Responsible AI: bias, fairness, explainability.
- Fine-tuning vs. prompt-tuning: adapting models for specific domains.
3. .NET + AI Integration
- Use Azure OpenAI Service with C#/.NET.
- Explore ML.NET for custom ML workflows.
- Learn Semantic Kernel (Microsoft’s orchestration framework for AI in .NET).
- Practice building chatbots, copilots, and summarizers with .NET APIs.
4. Cloud & Tools
- Get comfortable with Azure AI Studio and Cognitive Services.
- Experiment with vector databases (Pinecone, Azure Cosmos DB with vector search).
- Learn deployment patterns: containerization, scaling AI workloads.
5. Hands-On Projects
- Build a knowledge assistant using RAG with enterprise data.
- Create a document summarizer for PDFs/Word files.
- Develop a code helper that integrates with Visual Studio.
- Experiment with speech-to-text + LLM for meeting notes.
6. Advanced Topics
- Agents & orchestration: multi-step reasoning, tool use.
- Multi-modal AI: combining text, vision, and speech.
- Enterprise integration: secure APIs, compliance, monitoring.
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📚 Suggested Learning Resources
- Microsoft Learn: Generative AI for Developers (free modules).
- GitHub – Semantic Kernel samples: practical .NET integrations.
- Udemy/Coursera: Generative AI with Azure + .NET.
- Books: Generative Deep Learning (David Foster), Hands-On Machine Learning with .NET and ML.NET.
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🛤 Suggested Roadmap (6 Months)
- Month 1–2: AI fundamentals + prompt engineering.
- Month 3–4: Azure OpenAI + .NET integration projects.
- Month 5: RAG + Semantic Kernel for enterprise scenarios.
- Month 6: Advanced orchestration, agents, and deployment.
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This path is designed for a developer who already has solid software engineering experience and wants to pivot into applied GenAI with .NET.
I was able to generate the below using AI Copilot. You can refer to this and also customise as per your need.