AI Engineering Blueprint for Beginners: A Practical Guide to Designing, Deploying, and Maintaining Scalable AI Systems with Modern Tools and MLOps (Digital Skills Mastery) - Softcover

Inhaltsangabe

Build Reliable, Scalable, and Ethical AI Systems—From the Ground Up
Are you ready to move beyond AI theory and start building practical, production-ready solutions?
Whether you’re a beginner looking for a roadmap or a developer stepping into the world of AI engineering, this guide provides everything you need to succeed in real-world AI projects.
This isn’t just another book about machine learning models. It’s a step-by-step blueprint for designing, deploying, monitoring, and maintaining AI systems that solve real problems and continue performing in dynamic environments.
What You’ll Learn:

• Design AI systems with real-world impact
• Define clear goals, evaluate trade-offs, and select the right architectures based on your needs.
• Build clean, well-managed data pipelines
• Learn how to gather, prepare, and version your datasets for reproducibility and scale.
• Master model versioning, retraining, and automationKeep your models fresh and your pipelines efficient using tools like MLflow, DVC, and Airflow.
• Monitor drift and track performance with confidenceSet up metrics, alerts, and dashboards to detect issues before they impact users.
• Secure your AI workflows and ensure complianceProtect sensitive data, understand regulations like GDPR and HIPAA, and build with trust and transparency.
• Integrate human feedback and build ethical AIDesign feedback loops and human-in-the-loop systems that improve outcomes and reduce bias.

What’s Inside:

• Real-world case studies and applied best practices
• Tools and libraries cheat sheet (PyTorch, TensorFlow, FastAPI, etc.)
• Glossary of key AI engineering terms
• Model evaluation matrix and deployment checklists
• A complete appendix packed with resources, templates, and guides

Who This Book Is For:

• Aspiring AI and ML engineers
• Software developers transitioning into AI roles
• Technical team leads and project managers overseeing AI initiatives
• Anyone who wants to understand how to responsibly build and operate modern AI systems

This book focuses on production-grade AI engineering. You'll gain actionable knowledge you can use right away—whether you’re working on your first AI project or scaling an enterprise-level system.

Grab your copy today and start building AI systems that are accurate, explainable, and built to last.

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