Mastering NLP From Foundations to Agents
Building AI Agents through Agentic Automation and RAG Workflows with Python
Explore the evolution of Natural Language Processing from core mathematical principles to advanced AI agents. Learn how to design, build, and govern intelligent language systems using Python, modern LLMs, and agentic workflows. Gain hands-on experience with real-world automation and retrieval techniques.
Packt | Feb 2026 | 694 min
What You Will Learn
You will start by grounding your understanding in essential math and machine learning concepts, then move into practical coding exercises using Python. As you progress, you will build increasingly complex NLP solutions, from text classification to orchestrating multi-agent AI systems. Each step reinforces concepts with hands-on projects that mirror real-world scenarios.
Key Features
- Build NLP pipelines from foundational math to advanced LLMs and agent workflows
- Implement Retrieval-Augmented Generation and model routing for smarter automation
- Apply fine-tuning, governance, and safety practices to deploy robust AI systems
Target Audience
Ideal for machine learning engineers, data scientists, and NLP practitioners ready to advance their skills. If you have a solid grasp of Python and basic machine learning, you will benefit from learning to build, fine-tune, and deploy modern language models and AI agents. Professionals entering AI or seeking to apply the latest NLP techniques in production will find this especially valuable.
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