“…What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. …”

“…What you will learn Explore advanced FastAPI functionalities such as dependency injection, custom middleware, and WebSockets Discover various types of data storage for powerful app functionality with SQL and NoSQL Implement testing and debugging practices for clean, robust code Integrate authentication and authorization mechanisms to secure web apps Acquire skills to seamlessly migrate existing applications to FastAPI Write unit and integration tests, ensuring reliability and security for your apps Deploy your FastAPI apps to production environments for real-world use Who this book is for This book is for Python developers looking to enhance their skills to build scalable, high-performance web apps using FastAPI. …”

“…What you will learn Find out how to train and deploy TensorFlow and PyTorch models on AWS Use containers and serverless services for ML engineering requirements Discover how to set up a serverless data warehouse and data lake on AWS Build automated end-to-end MLOps pipelines using a variety of services Use AWS Glue DataBrew and SageMaker Data Wrangler for data engineering Explore different solutions for deploying deep learning models on AWS Apply cost optimization techniques to ML environments and systems Preserve data privacy and model privacy using a variety of techniques Who this book is for This book is for machine learning engineers, data scientists, and AWS cloud engineers interested in working on production data engineering, machine learning engineering, and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- all you need is an AWS account to get started. …”

“…What You Will Learn Develop skills required to become a project manager and a leader Complete projects more efficiently and cost-effectively Improve your ability to handle any type of projects Build and manage teams; manage time and employee teams effectively Focus on flexibility and make changes to plans when required Manage team plans with fewer internal or external distractions Audience This course is for those who know Agile and Scrum, having an interest in management-related topics. …”

“…The level of complexity evolves as the book progresses and covers advanced applications such as communications, security, and coherent hardware acceleration.By the end of this book, you'll have learned the concepts underlying FPGA SoCs' advanced features and you'll have constructed a high-speed SoC targeting a high-end FPGA from the ground up.What You Will Learn:Understand SoC FPGAs' main features, advanced buses and interface protocolsDevelop and verify an SoC hardware platform targeting an FPGA-based SoCExplore and use the main tools for building the SoC hardware and softwareBuild advanced SoCs using hardware acceleration with custom IPsImplement an OS-based software application targeting an FPGA-based SoCUnderstand the hardware and software integration techniques for SoC FPGAsUse tools to co-debug the SoC software and hardwareGain insights into communication and DSP principles in FPGA-based SoCsWho this book is for:This book is for FPGA and ASIC hardware and firmware developers, IoT engineers, SoC architects, and anyone interested in understanding the process of developing a complex SoC, including all aspects of the hardware design and the associated firmware design. …”

“…You want to become a Certified Jenkins Engineer You're a developer who wants to create, configure, and manage your own CI/CD jobs and/or pipelines You're a Jenkins administrator and need to understand how to manage Jenkins instances on an enterprise level You're a QA tester and want to run tests in an automated fashion Prerequisites: You should have experience with a Continuous Integration product (optimally Jenkins) You should be familiar with Continuous Integration and/or Continuous Delivery concepts Understanding of developer workflows (e.g., compilation, testing, packaging of binaries) and tooling (e.g., SCM) Materials or downloads needed in advance: You will need access to a Jenkins instance, either local or remote. …”

“…What you will learn Build solid and secure Node.js applications from scratch Discover how to consume and publish npm packages effectively Master patterns for refactoring and evolving your applications over time Gain a deep understanding of essential web development principles, including HTTP, RESTful API design, JWT, authentication, authorization, and error handling Implement robust testing strategies to enhance the quality and reliability of your applications Deploy your Node.js applications to production environments using Docker and PM2 Who this book is for This book is for developers eager to learn Node.js swiftly and utilize it for web app development. …”

“…Quotes This book clearly presents patterns and techniques that will enhance the experience for all software developers who need to work with APIs! - From the Foreword by Tony Tam, Founder of Swagger Everyone in the business of designing APIs should read this book! …”

“…Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea. about the author Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007. …”

“…About the Author Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks. …”

“…Learn how to use the Google Cloud Platform (GCP) to build and deploy ML models, including how to use GCP services such as BigQuery, Cloud Storage, Cloud AI Platform, and Cloud Functions to build and deploy ML models. Who Should Take This Course? Data scientists Data engineers Machine learning engineers Software engineers Data analysts Data architects Business analysts Anyone interested in learning about machine learning and Google Cloud Platform Course One: Framing ML Problems Course Two: Architecting ML solutions Course Three: Designing data preparation and processing systems Course Four: Developing ML models Course Five: Automating and orchestrating ML pipelines Course Six: Monitoring, optimizing, and maintaining ML solutions Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! …”

“…About the Technology Java is the beating heart of enterprise software engineering. Developers who really know Java can expect easy job hunting and interesting work. …”

“…Quotes This book clearly presents patterns and techniques that will enhance the experience for all software developers who need to work with APIs! - From the Foreword by Tony Tam, Founder of Swagger Everyone in the business of designing APIs should read this book! …”

“…What's Inside Create a web application Connect to a database Design programs to handle big tasks About the Reader For experienced beginners who want to learn professional-level skills. About the Author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. …”

“…About the Author Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks. …”

“…. - Glen Yu, PwC Canada Great book for engineers who want to learn Anthos. - Bhagvan Kommadi, Quantica Computacao Google Anthos can be intimidating. …”

“…What's Inside Creating knowledge graphs Node classification and link prediction workflows NLP techniques for graph construction About the Reader For data scientists who know machine learning basics. Examples use the Cypher query language, which is explained in the book. …”

“…What's Inside Solve complex design and analysis problems with evolutionary computation Tune deep learning hyperparameters Apply Q-Learning to deep learning to produce deep reinforcement learning Optimize the loss function and network architecture of unsupervised autoencoders Make an evolutionary agent that can play an OpenAI Gym game About the Reader For data scientists who know Python. About the Author Micheal Lanham is a proven software and tech innovator with over 20 years of experience. …”

“…It speaks to the vast majority of developers who just want to get their work done and deployed. - Tim Hockin, Google A stand out in the crowd of Kubernetes resources. …”

“…About the Author Andrew Lock is a Microsoft MVP who has worked with ASP.NET Core since before its first release. …”