Learning AWS IoT : effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning /
Data engineering with AWS : build and implement complex data pipelines using AWS /
Mastering AWS Lambda.
Building serverless web applications : build scalable web apps using Serverless Framework on AWS /
Getting started with Amazon SageMaker Studio : learn to build end-to-end machine learning projects in the SageMaker machine learning IDE /
Learning AWS : design, build, and deploy responsive applications using AWS cloud components /
Effective DevOps with AWS : implement continuous delivery and integration in the AWS environment /
Amazon Web Services : migrating your .NET Enterprise application : evaluate your Cloud requirements and successfully migrate your .NET Enterprise application to the Amazon Web Services platform /
AWS Administration - The Definitive Guide : Design, build, and manage your infrastructure on Amazon Web Services, 2nd Edition.
Ansible 2 cloud automation cookbook : write Ansible playbooks for AWS, Google Cloud, Microsoft Azure, and OpenStack /
Solutions architect's handbook : kick-start your solutions architect career by learning architecture design principles and strategies /
AWS for System Administrators : Build, Automate, and Manage Your Infrastructure on the Most Popular Cloud Platform - AWS.
Automated machine learning on AWS : fast-track the development of your production-ready machine learning applications the AWS way /
DynamoDB cookbook : over 90 hands-on recipes for designing Internet-scalable web and mobile applications with Amazon DynamoDB /
Accelerating DevSecOps on AWS : create secure CI/CD pipelines using Chaos and AIOps /
Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP /
AWS Penetration Testing : Implement Various Security Strategies on AWS Using Tools Such As Kali Linux, Metasploit, and Nmap.
Amazon SimpleDB developer guide : scale your application's database on the cloud using Amazon SimpleDB /
Cloud Analytics with Google Cloud Platform : an end-to-end guide to processing and analyzing big data using Google Cloud Platform.
Natural language processing with AWS AI services : implement various NLP use cases from unstructured data using Amazon Comprehend and Amazon Textract /
Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
Advances in large margin classifiers /
Machine learning and artificial intelligence : proceedings of MLIS 2020 /
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /
Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python /
Dynamic fuzzy machine learning /
Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /
Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. /
Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
Data analysis with Python : a modern approach /
Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
Data Science for Business and Decision Making : an introductory Text for Students and Practitioners /
Machine learning in asset pricing /
Microservices with Azure.
VSphere high performance cookbook : tune your vSphere to maximize its performance /
Securing the cloud : cloud computer security techniques and tactics /
Professional Cloud architect : Google Cloud certification guide /
OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python /
Professional Azure SQL database administration : equip yourself with the skills you need to manage and maintain your SQL databases on the Microsoft cloud /
Getting started with Terraform : manage production infrastructure as a code /
Cloud Foundry for developers : deploy, manage, and orchestrate cloud-native applications with ease /
PROFESSIONAL CLOUD ARCHITECT - GOOGLE CLOUD CERTIFICATION GUIDE - build a solid foundation... in google cloud platform to achieve the most lucra.
Serverless Architectures with Kubernetes : Create Production-Ready Kubernetes Clusters and Run Serverless Applications on Them.
Microsoft Azure fundamentals certification and beyond : simplified cloud concepts and core Azure fundamentals for absolute beginners to pass the AZ-900 exam /
Hands-on cloud-native applications with java and quarkus;build high performance, kubernetes-native java serverless applications
OpenStack for architects : design and implement successful private clouds with OpenStack /
OpenStack Administration with Ansible 2 - Second Edition.
Implementing Cloud Design Patterns for AWS : Solutions and Design Ideas for Solving System Design Problems, 2nd Edition.
Mastering identity and access management with Microsoft Azure : empower users by managing and protecting identities and data /
Intelligent Workloads at the Edge : Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass.
