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  Agentic AI Roadmap: From Beginner to Expert Agentic AI is changing how intelligent systems are built. It is no longer just about chatbots. It is about creating autonomous agents that can plan, reason, remember, and act. This roadmap poster gives you a complete learning path to master Agentic AI step by step. It starts with Python and AI fundamentals, moves into LLMs, prompt engineering, RAG, and tool calling, and then takes you deep into agent systems, memory, planning, multi-agent workflows, and real industry deployment. Whether you are a student, developer, or AI enthusiast, this roadmap helps you understand what to learn, in what order, and why it matters. Each level is designed to prepare you for real projects, not just theory. By following this roadmap, you can build: Personal AI agents Research and automation agents Business and startup assistants Multi-agent intelligent systems
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The Ultimate 2026 Machine Learning Roadmap


Want to learn AI but don't know where to start? Use this streamlined flowchart to go from beginner to pro.

Key Phases:

  • The Basics: Master Python, Statistics, and Linear Algebra.

  • Data Science: Focus on Pandas, NumPy, and Feature Engineering.

  • Modeling: Learn Scikit-Learn before jumping into PyTorch/TensorFlow.

  • Modern AI: Understand Transformers and Large Language Models (LLMs).

  • Engineering: Learn to deploy using Docker and FastAPI.

Conclusion: Consistency beats intensity. Follow this path, build projects, and stay curious.

 

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