Empowering AI innovations: The fusion of microservices and ML
KEY FEATURES
● Simplify complex ML development with distributed and scalable microservices architectures.
● Discover real-world scenarios illustrating the fusion of microservices and ML, showcasing AI’s impact across industries.DESCRIPTION
Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models.Additionally, you will learn how to implement ML microservices with practical examples in Java and Python. This book merges software engineering and AI, guiding readers through modern development challenges. It is a guide for innovators, boosting efficiency and leading the way to a future of impactful technology solutions.
WHAT YOU WILL LEARN
● Master the principles of microservices architecture for scalable software design.
● Deploy ML microservices using cloud platforms like AWS and Azure for scalability.
● Ensure ML microservices security with best practices in data encryption and access control.
● Utilize Docker and Kubernetes for efficient microservice containerization and orchestration.
● Implement CI/CD pipelines for automated, reliable ML model deployments.WHO THIS BOOK IS FOR
This book is for data scientists, ML engineers, data engineers, DevOps team, and cloud engineers who are responsible for delivering real-time, accurate, and reliable ML models into production.
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