“…Then I dive into training models in Rust with #pytorch that target the GPU. 3.2 Building a CUDA-enabled Stress Test with Rust PyTorch bindings and Rayon for multithreaded GPU-accelerated MLOps Lesson 4: Building Rust Containerized Solutions Lesson 5: Building Rust Cloud Computing Solutions for AWS 5.1 Building an Actix Web Server with Rust and Deploying to AWS App Runner Learning Objectives Learn program in Rust using Python as a reference and advanced tools like GitHub Copilot to assist Learning to build solutions with Rust including CLI, Web, and MLOps Learning to build Rust solutions for AWS, GCP, and Azure Learning to build Rust solutions for Kubernetes, Docker, and Serverless Learning to build Rust solutions for Data Engineering, Data Science, and Machine Learning Operations (MLOps) Learning to build Rust solutions for GPU-accelerated Machine Learning Learning the key syntax and features of the Rust Language 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! …”

“…The two invited keynotes were chosen to broaden the SIGMOD community's understanding of areas having a major effect on data management: Eric Brewer, VP of Infrastructure at Google and faculty member at UC Berkeley, talking about the effect of container technology on cloud computing; and Pedro Domingos, Professor at University of Washington, talking about machine learning-what works, what doesn't, and where the field is headed. …”

“…What You Will Learn Fundamental networking concepts, such as protocol reference models, network devices and theory, network topologies, and network components Network services including GRE, IPsec, DHCP, DNS, Voice over IP, SIP, NTP, NAT, software defined networking, FTP, SNMP, Netflow, RADIUS, TACACS+, Syslog, and more WAN technologies including, cellular, Frame Relay, ISDN, DSL, ATM, PPP, MPLS, Metro-Ethernet, and satellite How to work with different network cables and connectors including copper and fiber Ethernet switch operation including STP, VLAN configuration, trunking, link aggregation, distributed switching, and more Wireless LAN standards, antennas, components, security, site surveying, router setup, and troubleshooting IPv4 addressing and subnetting, and IPv6 networking basics Routing fundamentals including RIP, OSPF, EIGRP, and BGP routing protocols; route redistribution; intelligent forwarding operations; and gateway redundancy Unified communications, QoS, classification and marking, congestion management, traffic shaping and policing, SLAs, and more Virtualization fundamentals including hypervisor types, virtual networking, virtual appliances, server and storage infrastructure, cloud computing, Docker, IoT, and VPS Network security attacks, vulnerabilities, policies, defenses, and counter-measures Network monitoring tools and analysis, configuration management, and best practices Network troubleshooting including the 7-step troubleshooting method; Windows, Linux, and MacOS troubleshooting; common LAN issues; and troubleshooting wireless networks and network services Who Should Take This Course Anyone interested in obtaining their CompTIA Network+ certification or anyone interested in learning basic networking concepts, configuration, and troubleshooting skills. …”