Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment (Pearson AI Signature Series)
I will be using this book for:

Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment (Pearson AI Signature Series)

by Sinan Ozdemir

artificial intelligence Machine Learning Software Engineering
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Building Agentic AI provides an overview of the key stages involved in developing agentic AI systems. It examines workflows, fine-tuning, optimization, and deployment, making it a focused resource for readers seeking to understand the practical and technical dimensions of modern AI development.

About This Book

Building Agentic AI introduces the core topics involved in creating and operating agentic AI systems.

The book covers workflows, offering a foundation for organizing how AI agents perform tasks and interact with processes.

It also addresses fine-tuning and optimization, two important areas for improving the usefulness and efficiency of AI models.

Deployment completes the focus, connecting development considerations with putting agentic AI systems into practice.

Written by Sinan Ozdemir, this volume appears in the Pearson AI Signature Series.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for: