krishnaik06/Complete-RoadMap-To-Learn-AI
krishnaik06/Complete-RoadMap-To-Learn-AI has 1,513 GitHub stars and 429 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-06 07:20 UTC. Last push 2025-08-19.
Section 1: Data Science & Classical AI | Section 2: Generative AI | Section 3: Agentic AI
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README.md
Original🚀 AI Mastery Roadmap 2025: Three Core Paths to Excellence
🎯 Master AI Through Three Comprehensive Learning Paths
Section 1: Data Science & Classical AI | Section 2: Generative AI | Section 3: Agentic AI
📌 Overview
Welcome to the most comprehensive AI learning roadmap for 2025! This guide presents three distinct but complementary paths to AI mastery. Whether you want to become a Data Scientist, Generative AI Engineer, or Agentic AI Developer, this roadmap will guide your journey.
🎓 Choose Your Path
| Path | Focus | Duration | Career Outcome |
|---|---|---|---|
| 🔵 Path 1 | Data Science, NLP, Computer Vision | 4 months | Data Scientist, ML Engineer |
| 🟣 Path 2 | Generative AI & LLMs | 2 months | GenAI Engineer, AI Product Developer |
| 🟠 Path 3 | Agentic AI & Autonomous Systems | 2 months | AI Architect, Agent Developer |
📊 Learning Approach
graph TD
A[Start Here] --> B{Choose Your Path}
B -->|Traditional Route| C[Data Science First]
B -->|Modern Route| D[Generative AI First]
B -->|Advanced Route| E[All Three Parallel]
C --> F[Master DS/ML/CV/NLP]
F --> G[Add Gen AI]
G --> H[Learn Agentic AI]
D --> I[Master Gen AI]
I --> J[Add Agentic AI]
J --> K[Learn DS Fundamentals]
E --> L[Comprehensive AI Expert]
🔵 SECTION 1: DATA SCIENCE, NLP & COMPUTER VISION
The Foundation of AI: Master classical machine learning, deep learning, and specialized domains
🔗 Perfect Roadmap To Learn Data Science In 2025
This comprehensive roadmap covers:
- Python Programming & Mathematics
- Statistics & Machine Learning
- Deep Learning Fundamentals
- Computer Vision Applications
- Natural Language Processing
- MLOps & Deployment
🟣 SECTION 2: GENERATIVE AI
The Creative Revolution: Master Large Language Models, Diffusion Models, and Creative AI
🎨 Complete Generative AI Roadmap
Explore the cutting-edge world of Generative AI with comprehensive learning resources:
🔗 Roadmap To Learn Generative AI In 2025
This roadmap includes:
- Large Language Models (LLMs)
- Prompt Engineering
- Diffusion Models & Image Generation
- Fine-tuning Techniques
- Multi-modal AI Systems
- Production Deployment
🟠 SECTION 3: AGENTIC AI
The Autonomous Future: Build intelligent agents that can reason, plan, and act independently
🤖 Complete Agentic AI Roadmap
Master the development of autonomous AI agents and systems:
🔗 Roadmap To Learn Agentic AI
This roadmap covers:
- AI Agent Fundamentals
- LangChain & LangGraph
- Multi-Agent Systems
- RAG (Retrieval-Augmented Generation)
- Tool Use & Function Calling
📚 Additional Learning Resources
🎓 Udemy Courses Roadmap
For structured video-based learning with hands-on projects:
🔗 Complete Data Science And GenAI Course Roadmap - Udemy
Access comprehensive Udemy courses covering:
- Complete Python Programming
- Data Science Bootcamp
- Machine Learning & Deep Learning
- Generative AI with LangChain
- Agentic AI Development
- Computer Vision & NLP
🔴 Live Courses & Mentorship
For interactive learning with live instruction and direct mentorship:
🔗 Live Classes with Krish Naik
Join live courses featuring:
- Real-time Q&A sessions
- Hands-on project guidance
- Industry expert interactions
- Career counseling
- Certificate programs
- Community support
Free Counselling Team And Career Guidance.
We also provide free counselling and career guidance.📞Connect with our counselling team: +919111533440 or +9184848 37781
🎯 How to Use These Roadmaps
- Choose Your Path: Start with the section that aligns with your goals
- Follow the Repository: Each linked repository contains detailed week-by-week plans
- Complete Projects: Hands-on projects are included in each roadmap
- Track Progress: Use the provided checklists to monitor your learning journey
💡 Learning Recommendations
- Beginners: Start with Section 1 (Data Science) for strong foundations
- Developers: Can jump to Section 2 (Generative AI) if comfortable with programming
- Advanced Learners: Explore Section 3 (Agentic AI) for cutting-edge AI systems
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