Comprehensive Guide to MLOps: Deep dive into the Engineering aspects of AI & ML - Softcover

Inhaltsangabe

We are living in the era with a huge domination of artificial intelligence (AI). With AI technologies rapidly developing and becoming more widely used in society. Lot of useful and interesting applications are getting built using AI technologies.

More and more companies are trying to make use of data to build applications using machine, deep learning and AI technologies to solve their business problems. Advancements in AI technologies helping in developing and building other machine learning based applications as well.

Availability of infrastructure in the public cloud and the niche machine learning and deep learning libraries available as open source, made several organisations adapt to AI/ML technologies with lesser hurdles.
With the advancements in this space, availability of pre-trained AI & ML models for consumption and integration with applications is increasing at a rapid pace.

With these developments and most of the aspects around AI & ML getting commoditised, MLOps becomes the most crucial aspect, the organisations need to focus heavily on.

MLOps as a discipline helps organisations to develop, deploy and maintain machine learning, deep learning and other models more efficiently and reliably.
Objective of this book is to provide the readers with the required knowledge to equip them to start their journey with MLOps. So that as a reader you can build or guide your organisation/team to build a comprehensive MLOps system for your business.

This book is suitable for readers from any of the following category,

• Data science professional trying to learn MLOps to enhance your knowledge
• Data engineer trying to learn MLOps for cross skilling purpose
• Software engineer trying to learn machine learning, AI and related MLOps aspects
• DevOps engineer trying to enhance your skills on MLOps
• Technology, Product or Business leader who is responsible to create strategy and roadmap for your business
• Software, Data or AI/ML architect who is responsible for setting up MLOps systems in place for seamless integration across various systems
• Student aspiring to learning AI & ML and build a career possibly out of MLOps and building AI based applications
• Anyone with an interest to learn new technologies

You can make use of this book even if you feel, you may not have the required background to learn MLOps. As the introduction section provides an overview of AI/ML technologies, before we dive deep into the details of MLOps.

If you find it interesting enough, please go ahead and read through the rest of the book. !!

Thanks for choosing to read this book.!!

As the author of this book, I really hope that you find the necessary information that you are looking for and this book can help build your knowledge.

All the very best on your journey through this book.!!

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