Publisher's Synopsis
AI Workflow Automation with Python: Build Intelligent, Scalable Pipelines Using Machine Learning, API Integration, and End-to-End Automation
Master the Art of AI Automation-Build, Scale, and Optimize AI Pipelines for Real-World Applications
Artificial Intelligence is transforming industries, and mastering AI automation is now a critical skill for developers, engineers, and data scientists. AI Workflow Automation with Python is a practical, hands-on guide to building, deploying, and scaling AI-powered workflows using modern machine learning techniques, API integration, and automation frameworks. Whether you are a software engineer looking to optimize AI pipelines or a data scientist wanting to automate repetitive processes, this book provides the step-by-step guidance needed to build production-ready AI systems.
What You'll Learn:- AI-Powered Automation: Implement multi-agent architectures and large language models (LLMs) to create autonomous AI agents for workflow automation.
- Machine Learning Engineering: Design and train scalable AI models with Python, leveraging best practices in data preprocessing, feature engineering, and model optimization.
- API Integration & Deployment: Connect AI models to real-world applications using FastAPI, Flask, and cloud services for seamless automation.
- Scaling & Containerization: Use Docker and Kubernetes to deploy AI workflows with load balancing and auto-scaling for high-performance applications.
- End-to-End Workflow Orchestration: Automate AI pipelines with Apache Airflow and Prefect, ensuring efficient scheduling, monitoring, and fault tolerance.
- Multi-Agent AI Systems: Implement retrieval-augmented generation (RAG) and next-gen AI agents to enhance decision-making, personalization, and automation strategies.
- Ethical AI & Governance: Navigate AI compliance, ethical deployment practices, and security considerations to build responsible AI systems.
Unlike traditional AI books that focus only on model training, this guide takes you beyond machine learning-teaching you how to build, deploy, and automate AI workflows at scale. Covering real-world case studies, practical coding examples, and industry best practices, this book equips you with the essential skills to build next-generation AI applications.
If you're a developer, data engineer, or AI enthusiast looking to master Python-driven automation and multi-agent AI workflows, this book is your go-to guide for building intelligent, scalable AI systems.
