46720 Courses

Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool

Duration 5 Days 30 CPD hours This course is intended for Cloud architects, systems engineers, datacenter administrators, and cloud administrators with experience in managed services or managing a service provider environment. Overview By the end of the course, you should be able to meet the following objectives: Understanding NSX-T Data Center and VMware Cloud Director fundamentals List the various NSX-T Data Center components List the use cases and topologies of VMware Cloud Director networks Discuss the VMware Cloud Director provider networking configurations Discuss the VMware Cloud Director tenant networking configurations Discuss NSX Advanced Load Balancer and its components Discuss NSX Advanced Load Balancer configuration and integration with VMware Cloud Director Enable a layer 2 stretched network that spans across multiple VMware Cloud organization VDCs Showcase the importance of the VMware Cloud Director migration tool and its functionality Manage resources from the VMWare Cloud Director console and use VMware vRealize Operations Manager™ In this five-day course, you focus on designing, integrating, configuring, and managing VMware Cloud Director? 10.x with VMware NSX-T© Data Center and VMware NSX© Advanced Load Balancer?. You learn about creating Network Pools and Edge Cluster management. You also learn about creating and managing an external network and creating and managing the organization of VDC, vApp, and data center group networks. Course Introduction Introductions and course logistics Course objectives VMware Cloud Director Data Center Fundamentals Explain NSX-T Data Center and its architecture Discuss various NSX-T Data Center components Describe NSX-T Data Center objects and their creation methods List the various requirement and maximum configuration details Explain NSX-T Data Center and its architecture Discuss various NSX-T Data Center components Describe NSX-T Data Center objects and their creation methods Explain VMware Cloud Director and its architecture List the various requirement and maximum configuration details Discuss VMware Cloud Director pre-requisites and deployment Discuss the use cases and features of VMware Cloud Director List the various requirement and maximum configuration details Discuss the design best practices Provider Configuration Discuss the integration of VMware vCenter Server© with VMware Cloud Director Discuss the integration of NSX-T Data Center with VMware Cloud Director Explain the provider side networking concepts and features Tenant Configuration Discuss the various types of organization VDC networks that can be created using NSX-T Data Center Explain the edge services available under each type of Organization VDC networks Explain what vApp network is Discuss various types of vApp networks Cross VDC networking with NSX-T Explain data center groups Configure cross-VDC networking and L2 stretched networks Configure a distributed firewall for a Data Center Group NSX Advanced Load Balancer Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Understand and apply a Global Server Load Balancing design framework VMware NSX Migration for VMware Cloud Director Understand the main usage and purpose of the NSX migration for VMware Cloud Director List the supported topology and compatibility matrix List the supported features Understand the environmental prerequisites and how to prepare the edge cluster for bridging Know the logs and error handling exceptions Monitoring VMware Cloud Director Networking Discuss the methods to manage and monitor networking objects from VMware Cloud Director portals Understand the vRealize Operations Manager and vRealize Operations Manager Tenant App overview Discuss how to monitor VMware Cloud Director networking objects using vRealize Operations Manager and vRealize Operations Manager Tenant App Create views and reports Describe the use of vCloud Usage Meter with VMware Cloud Director

Duration 3 Days 18 CPD hours This course is intended for This course is designed for any individual who might need to perform project management activities in their job role on either a formal or informal basis, or any individual who wants to build upon their current project management knowledge to be more productively involved on a project team. This course is not specifically designed for students who are seeking project management-related certification. Rather, it is designed to introduce a structure to help students more effectively manage projects as well as participate fully on a project team. Overview In this course, you will apply recognized practices of project management to manage a project from start to finish. You will: - Identify the basic concepts of project management. - Launch a project. - Estimate project work. - Create a project schedule. - Plan project costs. - Plan for project risks. - Plan for project quality and compliance. - Manage human and physical resources for the project. - Manage project procurements. - Plan for change management and monitor the project scope. - Monitor and optimize project schedule and cost. - Monitor the quality of the project work and the risks involved. - Plan communication strategies and manage stakeholder relationships. - Close a project. If you are taking this course, you probably have some exposure to managing projects, or you may be considering embarking on a career as a professional project manager. Your ability as a project manager to demonstrate best practices in project management on the job is becoming the standard to compete in today's fast-paced and highly technical workplace. In this course, you will apply the generally recognized practices of project management to successfully manage projects. Project managers are always under severe pressure to complete projects on time and within budget. However, most projects fail to meet these demands, and, as a result, many projects are terminated early. Successful project management requires knowledge and experience. This course is designed to provide you with the skills needed to be a successful project manager in today's rapidly changing world. The skills and knowledge you gain in this course will help you avoid making costly mistakes and increase your competitive edge in the project management profession. Getting Started with Project Management Define Project Management Basics Identify Influencing Factors Define Project Management Certifications Launching Projects How Organizations Choose the Right Project Identify Project Stakeholders and Their Expectations Authorize a Project Identify the Project Scope Estimating Project Work Develop a WBS Identify the Relationships Between Work Packages Identify Resources Estimate Time Creating a Project Schedule Develop a Project Schedule Create a Schedule Baseline Planning Project Costs Establish Project Costs Establish the Cost Baseline Reconcile Funding and Costs Planning for Risk Create a Risk Management Plan Identify Risks and Their Causes Analyze Risks Develop a Risk Response Plan Planning for Quality and Compliance Deliver the Desired Project Results Verify Compliance Requirements Managing the Project Team Plan Your Project Team Assemble the Team Develop the Team Manage the Team Managing Project Procurements Plan for Project Procurements Obtain Responses from Vendors Select the Right Vendor Manage Vendors and Procurements Managing Change During Project Execution Prepare for Project Execution Manage Project Changes Monitor the Project Scope Monitoring and Controlling Project Schedule and Cost Monitor and Control the Project Schedule Optimize the Project Schedule Monitor and Control Project Cost Monitoring and Controlling Risk and Quality Monitor and Control Risks Put Quality Plans into Action Control Project Quality Communicating and Reporting Communicate During a Project Distribute Project Information Manage Stakeholder Relationships and Expectations Report on Project Performance Closing the Project Deliver the Final Product Close Project Procurements Close the Project

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 2 Days 12 CPD hours This course is intended for The target audience for the SRE Foundation course are professionals including. Anyone starting or leading a move towards increased reliability. Anyone interested in modern IT leadership and organizational change approaches. Business Managers, Business Stakeholders, Change Agents, Consultants, DevOps Practitioners, IT Directors, IT Managers, IT, Team Leaders, Product Owners, Scrum Masters, Software Engineers, Site Reliability Engineers, System Integrators, Tool Providers will benefit from this course. Overview The learning objectives for the SRE Foundation course include a practical understanding of. The history of SRE and its emergence at Google. The inter-relationship of SRE with DevOps and other popular frameworks. The underlying principles behind SRE Service Level Objectives (SLO's) and their user focus Service Level Indicators (SLI's) and the modern monitoring landscape. Error budgets and the associated error budget policies. Toil and its effect on an organization's productivity. Some practical steps that can help to eliminate toil. Observability as something to indicate the health of a service SRE tools. Automation techniques and the importance of security. Anti-fragility, our approach to failure and failure testing. The organizational impact that introducing SRE brings. The SRE (Site Reliability Engineering) Foundation course is an introduction to the principles & practices that enable an organization to reliably and economically scale critical services. Introducing a site-reliability dimension requires organizational re-alignment, a new focus on engineering & automation, and the adoption of a range of new working paradigms. This course prepares you for the SRE Foundation (SREF) certification. Course Introduction Course Goals Course Agenda SRE Principles & Practices What is Site Reliability Engineering? SRE & DevOps: What is the Difference? SRE Principles & Practices Service Level Objectives & Error Budgets Service Level Objectives (SLO?s) Error Budgets Error Budget Policies Reducing Toil What is Toil? Why is Toil Bad? Doing Something About Toil Monitoring & Service Level Indicators Service Level Indicators (SLI?s) Monitoring Observability SRE Tools & Automation Automation Defined Automation Focus Hierarchy of Automation Types Secure Automation Automation Tools Anti-Fragility & Learning from Failure Why Learn from Failure Benefits of Anti-Fragility Shifting the Organizational Balance Organizational Impact of SRE Why Organizations Embrace SRE Patterns for SRE Adoption On-Call Necessities Blameless Post-Mortems SRE & Scale SRE, Other Frameworks, The Future SRE & Other Frameworks The Future Exam Preparations Exam Requirements, Question Weighting, and Terminology List Sample Exam Review Additional course details: Nexus Humans Site Reliability Engineering (SRE) Foundation (DevOps Institute) 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 Site Reliability Engineering (SRE) Foundation (DevOps Institute) 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.

Duration 5 Days 30 CPD hours This course is intended for This class is ideal for experienced Salesforce Administrators, business analysts, and implementation specialists looking to gain a greater technical understanding of Salesforce CPQ Administration. It's also designed for experienced administrators, solution architects, implementation consultants, and developers looking to understand the full capabilities of Salesforce CPQ in order to formulate solutions for their business. This class is also a great foundation builder for anyone looking to earn the Salesforce CPQ Specialist credential. Overview When you complete this course, you'll be able to: Set Up Products, Bundles, and Product Rules Build Price Rules to Automatically Populate Field Values While Quoting or Configuring a Bundle Set Up Appropriate System Discounts and Pricing Methods Configure Dynamic Output Document Generation Manage Subscription Products (Including the Processes for Renewing and/or Amending Them) Formulate Sound Solutions to Common CPQ Business Requirements Make Significant Progress in Preparing for the Salesforce Certified CPQ Specialist Exam Discover how to configure an end-to-end Salesforce CPQ solution with out-of-the-box functionality. In this 5-day class, our CPQ experts will give you an in-depth look at Salesforce CPQ and its applications. You?ll learn how to set up and manage products, configure discount and pricing methods, create and manage subscriptions, and formulate solutions to meet common CPQ business requirements so you can successfully implement a Salesforce CPQ solution for your company. Course Introduction Review Course Objectives Set Learner Expectations Review Housekeeping Rules Explore Additional Course Resources Review Exam Quick Facts Introduction to CPQ Understand the Business Case for CPQ Watch an End-to-End Solution Demo Build a Quote Object Model Foundations Get Familiar with Products, Price Books, and Price Book Entries Review Product Fields Integral to Basic Salesforce CPQ Functionality Product Selection Modify Out-of-the-Box Button Behavior for Product Selection Review Guided Selling Bundle Configuration Define and Build Product Bundles Enforce Business Logic with Product Features Option Selection Guidelines Enforce Business Logic with Option Constraints Product Rules Define Product Rules Enforce Business Logic with Product Rules (Including Validation Rules, Alert Rules, Selection Rules, and Dynamic Bundles) Build Product Rules Using Supporting Objects (Including Error Conditions, Product Actions, Summary Variables, Configuration Rules, and Configuration Attributes) Pricing Methods Discover Pricing Waterfall Default Flows Review List Pricing, Cost Plus Markup, and Block Pricing Use Contracted Pricing for Negotiated Prices Subscription Pricing Configure Subscription and Proration Pricing Methods Understand How Subscription Pricing Methods Affect List and Regular Price Discounting Compare Discounting Strategies Build a Discount Schedule Price Rules Set Values for Quote and Quote Line Fields Declaratively Review CPQ Advanced Quote Calculator Calculation Events and Conditions Understand Price Action Sources (Including Static Values, Summary Variables, Formulas, and Lookup Tables) Create Lookup Queries to Outsource Evaluation to a Lookup Object Advanced Approvals Compare and Contrast the Advanced Approval Package Versus Native Approvals Define Approvers, Approval Chains, Approval Variables, and Approval Rules to Meet Specific Business Requirements Quote Templates Generate Dynamic Output Documents Create Conditional Template Content Localization and Multicurrency Make Accommodations for Localization Define Localization and How It Works in CPQ Orders Review Business Purposes of an Order Define the Data Model for Orders Define Data Requirements to Generate Orders Contracts, Renewals, and Amendments Generate New Contracts to Manage Active Subscriptions Related to an Account Review Amendment and Renewal Processes Review Renewal Pricing Methods Capstone Class Project: Troubleshoot Common Scenarios in Salesforce CPQ Design a Solution

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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.

Duration 3 Days 18 CPD hours This course is intended for Experienced software developers who are already familiar with AWS services Overview In this course, you will learn how to: Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture Recommend the appropriate AWS services to develop a microservices based cloud-native application Use the AWS API, CLI, and SDKs to monitor and manage AWS services Migrate a monolithic application to a microservices application using the 6 Rs of migration Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology. Module 1: The cloud journey Common off-cloud architecture Introduction to Cloud Air Monolithic architecture Migration to the cloud Guardrails The six R?s of migration The Twelve-Factor Application Methodology Architectural styles and patterns Overview of AWS Services Interfacing with AWS Services Authentication Infrastructure as code and Elastic Beanstalk Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the AWS console Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk Module 2: Gaining Agility DevOps CI/CD Application configuration Secrets management CI/CD Services in AWS Demonstration: Demo AWS Secrets Manager Module 3: Monolith to MicroServices Microservices Serverless A look at Cloud Air Microservices using Lambda and API Gateway SAM Strangling the Monolith Hands-on lab: Using AWS Lambda to develop microservices Module 4: Polyglot Persistence & Distributed Complexity Polyglot persistence DynamoDB best practices Distributed complexity Steps functions Module 5: Resilience and Scale Decentralized data stores Amazon SQS Amazon SNS Amazon Kinesis Streams AWS IoT Message Broker Serverless event bus Event sourcing and CQRS Designing for resilience in the cloud Hands-on lab: Exploring the AWS messaging options Module 6: Security and Observability Serverless Compute with AWS Lambda Authentication with Amazon Cognito Debugging and traceability Hands-on lab: Developing microservices on AWS Additional course details: Nexus Humans Advanced Developing on AWS 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 Advanced Developing on AWS 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.

Duration 2 Days 12 CPD hours This course is intended for Sales engineers Account managers Networking engineers Technical and non-technical audiences Overview After taking this course, you should be able to: Understand the role that programmable infrastructure is having on the transition to the digital enterprise Describe Cisco DNA, its components and benefits, and explain a few use cases Describe the different technologies and solutions within the Cisco programmable infrastructure portfolio Describe Cisco DNA Center REST APIs Understand the functionality provided by Cisco WebEx Teams Describe Cisco CMX, services, and related APIs Describe the importance of DevOps culture within network operations in the shift to becoming a digital enterprise The Programming Use Cases for Cisco Digital Network Architecture (DNAPUC) v1.0 course highlights the shift toward the digital enterprise and examines the components, benefits, and use cases of Cisco Digital Network Architecture (Cisco DNA?) in an enterprise environment. You will learning about key platforms including Cisco© DNA Center, Cisco WebEx Teams?, Cisco Connected Mobile Experiences (CMX), and their related APIs. This course also covers open standards, tools, and network APIs that you can use to complement the Cisco DNA software portfolio, including Python, JavaScript Object Notation (JSON), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Next Generation (YANG). Understanding Programmable Infrastructure Digital Enterprise Four Pillars of Digitization Network Programmability and Automation What Should Be Automated? Quantifying Programmability and Automation for the Business Network Programmability and Automation Use Cases Introducing Cisco DNA Cisco DNA Overview Cisco DNA Components Benefits of Cisco DNA Cisco DNA Use Cases Describing Programmable Infrastructure Cisco Programmability Options Data Center Infrastructure Enterprise Network Programmability Streaming Telemetry Collaboration Management, Monitoring, and Analytics Describing Network APIs How APIs Enable Business Automation API Overview Data Encoding with JSON and XML RESTful APIs RESTCONF and NETCONF Overview Data Modeling with YANG Describing Cisco DNA Center APIs Cisco DNA Center Overview Cisco DNA Center Automation Enterprise Benefits Cisco DNA Center Applications and Use Cases Cisco DNA Center REST API Overview Case Study: Network Automation at Symantec Describing Cisco Collaboration APIs Cisco Webex Teams Overview Cisco Webex Teams Business Benefits Cisco Webex Teams API Overview Describing Cisco Mobility APIs Cisco CMX Overview Cisco CMX Programmability Business Benefits Cisco CMX Mobility Services API Overview Case Study: Victoria University and Cisco CMX Implementing DevOps Culture Within Network Operations Transition to DevOps CALMS Model (Culture, Automation, Lean, Measurement, Sharing) Role of Cisco Technology in the Transition to DevOps Additional course details: Nexus Humans Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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 Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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.

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT. Overview Working within in a hands-on learning environment students will learn to: Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. Python Refresher Python Overview Python Basics Python Lab Introducing PyTest Why Spend time writing test UnitTest Module Why PyTest? Introductory Lab Writing and Running Test Installing PyTest Writing and Running Tests Organizing files and packages Command Line options Configure pytest.ini Install and Config Lab Markers and Parameters Mark Basics Built-in marks Parameterization Markers and Parameters Lab Fixtures Introduction to Fixtures Sharing fixtures with conftest.py files Scopes Autouse Parameterizing fixtures Using marks from fixtures Built-in fixtures Best Practices Fixtures Lab Fixtures Lab 2 Plugins Finding and installing plugins Overview of plugins Plugin Lab From UnitTest to PyTest Use PyTest as a Test Runner Convert asserts with unitest2pytest Handling setup/teardown Managing test hierarchies Refactoring test utilities Migration strategies Additional course details: Nexus Humans Test Automation with Python (TTPS4832) 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 Test Automation with Python (TTPS4832) 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.