A Practical Roadmap to Learn NLP, LLMs, Fine-Tuning, RAG, MCP, and Agentic AI

📰 Medium · LLM

Learn a practical roadmap to mastering NLP, LLMs, fine-tuning, RAG, and agentic AI by following a chronological approach

intermediate Published 18 Apr 2026
Action Steps
  1. Learn the basics of data preparation for NLP tasks
  2. Study how machine learning models work and their applications in NLP
  3. Understand how text is converted to numerical representations using embeddings and transformers
  4. Explore how LLMs generate language and their fine-tuning techniques
  5. Apply knowledge of RAG, MCP, and agentic AI to build modern AI applications
Who Needs to Know This

Data scientists, AI engineers, and machine learning practitioners can benefit from this roadmap to improve their skills in natural language processing and AI applications

Key Insight

💡 A chronological approach to learning AI concepts is essential for effective mastery

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Boost your AI skills with a practical roadmap to mastering NLP, LLMs, fine-tuning, RAG, and agentic AI! #AI #NLP #LLMs
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