5917 Computing courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

The Microsoft Office Specialist (MOS) is a globally recognised qualification. Having a Microsoft Office Specialist certification on your CV demonstrates that you have gained the necessary expertise to competently use Microsoft applications, giving you a competitive advantage when job hunting as well as in the workplace. It will significantly increase your confidence, skills and employability. It will serve to objectively validate your IT skills and assist in your advancement in your chosen career.

Learn user experience fundamentals and master the design process with a user-centered approach. This UX Design Course has been designed to fully equip you with all the tools and methodologies you need to succeed as a UX designer.

Jamf 400, Jamf training course

The Jamf 200 course offers a core understanding of Jamf Pro. It also provides enterprise-level knowledge of macOS and iOS platforms. Rely on our expert trainers to help you pass the Jamf 200 certification first time. Topics: Introduction to the Jamf Pro server. Building and managing content (.pkg, .mpkg, and .dmg packages) for deployment to macOS devices. Enrolling macOS and iOS devices using automated MDM enrollment. Setup and configuration of macOS and iOS devices. Configuring the user environment (Configuration Profiles, .plist). Security for macOS and iOS devices. Purchasing and distributing App Store apps using Apple Business Manager or Apple School Manager. Scripting overview (Bash). Initial setup and refreshing/reimaging macOS and iOS devices. Ownership and permissions (POSIX, ACE/ACL) on macOS devices. Prerequisites: Abundant hands-on experience with macOS and iOS. What’s Included: Four days (9am-5pm each day) of lab-style interaction. Proctored certification exam during the afternoon of the fourth day. All hardware and software required for the course. Printed course materials. Jamf Certified Tech badge on your Jamf Nation profile (upon successfully completing the exam with a passing score). Free £100 Apple technical training credit

Jamf Training, Jamf 300 course,

Duration 3 Days 18 CPD hours This course is intended for This course is intended for Solution Architects Overview At the end of this course, you will be able to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises datacenter to AWS cloud Move large data from an on-premises datacenter to AWS Design large datastores for AWS cloud Understand different architectural designs for scalability Protect your infrastructure from DDoS attack Secure your data on AWS with encryption Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS. Module 1: AWS Account Management Multiple accounts Multi-account patterns License management Manage security and costs with multiple accounts AWS Organizations AWS Directory Service Hands-on lab: Multi-VPC connectivity using a VPN Module 2: Advanced Network Architectures Improve VPC network connections Enhance performance for HPC workloads VPN connections over AWS AWS Direct Connect AWS Transit Gateway Amazon Route 53 Exercise: Design a hybrid architecture Module 3: Deployment Management on AWS Application lifecycle management Application deployment using containers AWS Elastic Beanstalk AWS OpsWorks AWS CloudFormation Module 4: Data Optimize Amazon S3 storage Amazon ElastiCache AWS Snowball AWS Storage Gateway AWS DataSync Backup and archival considerations Database migration Designing for big data with Amazon DynamoDB Hands-on lab: Build a failover solution with Amazon Route 53 and Amazon RDS Module 5: Designing for large scale applications AWS Auto Scaling Migrating over-provisioned resources Blue-green deployments on AWS Hands-on lab: Blue-green deployment with AWS Module 6: Building resilient architectures DDoS attack overview AWS Shield AWS WAF Amazon GuardDuty High availability using Microsoft SQL Server and Microsoft SharePoint on AWS High availability using MongoDB on Amazon EC2 AWS Global Accelerator Hands-on lab: CloudFront content delivery and automating AWS WAF rules Module 7: Encryption and data security Encryption primer DIY key management in AWS AWS Marketplace for encryption products AWS Key Management Service (AWS KMS) Cloud Hardware Security Module (HSM) Comparison of key management options Hands-on lab: AWS KMS with envelope encryption

This course is designed to enable candidates to develop the knowledge of the terminology and basic concepts of TOGAF Standard, 10th Edition and principles of Enterprise Architecture. Candidates will also be able to analyze and apply knowledge of TOGAF Standard.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is anyone who works in and around IT, facilities or data centre operations and needs to understand and improve the daily operations including important processes such as lock-out/tag-out, the right process for installing/de-installing equipment, safety procedures, capacity management and much more. Overview The old believe that a fully redundant data centre facility will save the day is no longer true as many research outcomes have revealed that the majority of downtime is caused by the human factor. Policies, processes, procedures and work instructions should be carefully developed, ideally following relevant standards, to ensure an effcient and effective data centre operations which are also compliant to the required regulations. The CDFOS© (Certified Data Centre Facilities Operations Specialist) course is a three-day course which will enable participants to fully understand the requirements of running the day-to-day operations of a mission critical data centre. Participants will gain all the required competences for running the daily operations, understand which processes should be in place, and the critical elements of those processes and how to execute them. The course is fully aligned with the DCOS© (Data Centre Operations Standard). Data centre facilities operations management have proven to be the key differentiator between a data centre that is performing well or badly. Service Level Management Service Level Management Needs analysis Capability assessment Service portfolio and catalogue Service Level Agreements Reporting - Complaint procedure Customer satisfaction Service Improvement Process (SIP) Safety and Crisis Management Most common type of accidents and why they often happen The roles and responsibilities of appointed safety staff The importance of the OH&S or WHS manual Calibration of measurement and test equipment Proper lock-out/tag-out procedures Emergency response plan requirement for various potential emergencies The importance of Permit To Work Physical Security Standard Operating Procedures (SOP) for security Security risk assessment Security zones Physical inspections / security patrols Delivery of goods / holding area Entry control of individuals Badges and key management Security monitoring Security incident reporting Facilities Maintenance The importance of maintenance Maintenance definitions Maintenance operations procedures (MOP) Service reports Spare management Tools Housekeeping Data Centre Operations Shift handover Walk around duties Service management Release management Configuration management Floor management Equipment life cycle management Monitoring/Reporting/Control Monitoring requirements Facilities monitoring matrix Sensor / alarm point testing and calibration Notification matrix Escalation requirements Reporting Project Management Project management Project organization Project manager Initiation Planning Execution Monitor and control Closing Evaluation / lessons learnt Environmental Sustainability The importance of sustainability Environmental standards Power efficiency indicators Energy saving best practises Water management Sustainable energy usage Governance and Compliance The importance of document management The siz sub-processes of document management Asset management Requirements or asset recording Exam: Certified Data Centre Facilities Operations Specialist (CDFOS©) Certification exams are administered at the end of the course. The exam is a 90-minute closed book exam, with 60 multiple-choice questions. The candidate requires a minimum of 42 correct answers to pass the exam. Online exam results are known immediately and paper-based exam results will be known within one week. Additional course details: Nexus Humans Certified Data Centre Facilities Operations Specialist (CDFOS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Certified Data Centre Facilities Operations Specialist (CDFOS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Classroom based, instructor led workshop with proctor at home exam. The lab-intensive Certified SOC Analyst (CSA) program emphasizes the holistic approach to deliver the advanced knowledge of how to identify, validate and defend against cyber-attacks.