AI Engineer Career Roadmap (LLMs|RAG|AI Agents) with Uday | SDE-II @ S&P Global | Backend

🤖 AI Engineer Career Roadmap (1:1)

Want to build a career in AI but don't know where to start?

With new AI frameworks and tools launching every month, it's easy to get stuck in tutorial hell.

In this personalized 1:1 session, I'll help you build a structured roadmap based on your current experience and career goals.

Whether you're a student, backend developer, or software engineer looking to transition into AI, this session is designed to give you clarity and direction.

What We'll Cover

✅ Python Roadmap for AI

✅ Machine Learning Fundamentals (What actually matters)

✅ Large Language Models (LLMs)

✅ Prompt Engineering

✅ Retrieval-Augmented Generation (RAG)

✅ LangChain & LangGraph

✅ Vector Databases (Pinecone, Chroma, Weaviate, FAISS)

✅ MCP (Model Context Protocol)

✅ AI Agents & Agentic Workflows

✅ AI Application Architecture

✅ AI Projects for Resume

✅ Portfolio & GitHub Strategy

✅ AI Interview Preparation

Personalized Guidance Based On

1. Your current experience
2. Your target role
3. Your existing tech stack
4. Your available study time
5. Your long-term career goals

You'll Receive

✔ Personalized AI learning roadmap

✔ Step-by-step learning sequence

✔ Project recommendations

✔ Resource recommendations

✔ Resume-building guidance

✔ Career transition strategy

✔ Common mistakes to avoid

Best For

1. College Students
2. Freshers
3. Software Engineers
4. Backend Developers
5. Full Stack Developers
6. Professionals transitioning into AI

Please Note

1. This session focuses on AI career guidance and learning strategy.
2. It does not include live coding or project implementation.
3. Job placement or interview calls cannot be guaranteed.

Let's create a roadmap that helps you build real AI applications—not just complete tutorials. 🚀