Скачать или смотреть Data Scientist? Switch to Gen AI NOW! 💰 Complete Roadmap

Data Science to Gen AI roadmap, transition to Gen AI, Gen AI career path, from data science to AI, learn generative AI, AI career switch, Gen AI jobs 2026 - Ready to switch from Data Science to Generative AI? Here's your complete roadmap for 2026!

Gen AI is the hottest field right now with better pay, more opportunities, and exciting work. If you're in data science, you already have a head start! This roadmap will help you transition smoothly and land high-paying Gen AI roles.

🔥 WHY SWITCH FROM DATA SCIENCE TO GEN AI?
✅ Higher Salaries: Gen AI roles pay 30-50% more
✅ More Jobs: Every company is hiring for Gen AI
✅ Future Proof: Gen AI is the future of tech
✅ Exciting Work: Build chatbots, AI assistants, creative tools
✅ Your Skills Transfer: 60% of data science skills apply directly

🚀 COMPLETE ROADMAP - STEP BY STEP:

PHASE 1: GEN AI BASICS (2-3 weeks)
Learn LLMs, transformers, attention mechanism, tokenization

PHASE 2: PROMPT ENGINEERING (1-2 weeks)
Master writing effective prompts, chain of thought, few-shot learning

PHASE 3: LLM APIs (2-3 weeks)
OpenAI, Claude, Gemini APIs - build chatbots and tools

PHASE 4: RAG SYSTEMS (3-4 weeks)
Vector databases, embeddings, document Q&A systems

PHASE 5: FINE-TUNING (4-6 weeks)
Custom model training, LoRA, Hugging Face

PHASE 6: LANGCHAIN & AGENTS (3-4 weeks)
AI agents, multi-step reasoning, production frameworks

PHASE 7: DEPLOYMENT (2-3 weeks)
Production-ready apps, scaling, cost optimization

💼 SKILLS COMPANIES WANT:
Must Have: Python, LLM APIs, Prompt Engineering, RAG, Vector DBs
Good to Have: Fine-tuning, Cloud platforms, Docker, LangChain
Bonus: Multi-modal AI, AI agents, Research papers

🎯 JOB ROLES YOU CAN TARGET:
Starting: Prompt Engineer, Gen AI Developer (₹12-15 LPA)
Senior: LLM Engineer, AI Architect (₹50+ LPA)

📚 PROJECT IDEAS:
Document Chat System (RAG)
AI Assistant with memory
Code Generation Tool
Customer Support Bot
Content Creation Platform

⚡ TIMELINE TO JOB READY:
Fast Track: 3-4 months (practical focus)
Standard: 6 months (deep learning)
Thorough: 9-12 months (advanced topics)

💡 DATA SCIENCE SKILLS THAT TRANSFER:
Python, ML basics, statistics, data handling, problem solving - all directly useful! You're already 60% there.

Drop a comment if you're planning to make this switch!

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