Skip to content
Projects

krishnaik06/Complete-RoadMap-To-Learn-AI

View on GitHub

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.

How these counts are measured

Section 1: Data Science & Classical AI | Section 2: Generative AI | Section 3: Agentic AI

Measured star growth

in 24h
0
in 7 days
Update delayed
in 15 days
Update delayed
in 1 month
Update delayed

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

🚀 AI Mastery Roadmap 2025: Three Core Paths to Excellence

AI Roadmap 2025 Python Status License

🎯 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

  1. Choose Your Path: Start with the section that aligns with your goals
  2. Follow the Repository: Each linked repository contains detailed week-by-week plans
  3. Complete Projects: Hands-on projects are included in each roadmap
  4. 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

Explore related projects