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VMware NSX Advanced Load Balancer: Infrastructure and Application Automation
By Nexus Human
Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment
Digital Product Management
By NextGen Learning
Digital Product Management Course Overview: The Digital Product Management course is designed to provide learners with a comprehensive understanding of managing digital products throughout their lifecycle. Covering key areas such as market analysis, strategy development, and product marketing, this course equips learners with essential skills to succeed in the fast-paced digital landscape. It explores core concepts of product management, offering a thorough introduction to the tools and processes involved in delivering successful digital products. Learners will gain the knowledge necessary to effectively manage a digital product from conception to launch, ultimately enhancing their career prospects in digital product management. Course Description: This course dives deep into the intricacies of digital product management, beginning with the basics and progressing through advanced concepts. Learners will explore market research, customer analysis, and strategy formulation to ensure product success. Modules also cover the creation of product roadmaps, understanding different development methodologies, and the use of analytics to measure product performance. Legal considerations and marketing strategies are also key components, offering a well-rounded understanding of the product management process. By the end of the course, learners will have the expertise needed to manage a digital product from ideation to its eventual market entry and beyond. Digital Product Management Curriculum: Module 01: Basics of Digital Product Management Module 02: Understanding Market and Customers Module 03: Strategy Development Module 04: Roadmap Module 05: Development Methodologies Module 06: Analytics and Metrics Module 07: Marketing Module 08: Legal Aspects (See full curriculum) Who is this course for? Individuals seeking to build a career in digital product management. Professionals aiming to enhance their product management skills. Beginners with an interest in managing digital products or services. Those looking to transition into a digital-focused career. Career Path: Digital Product Manager Product Development Manager Digital Marketing Specialist Project Manager in Tech Companies Product Strategist E-commerce Manager
Basics of Chatbots with Machine Learning & Python
By Packt
Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.
Overview Are you ready to dive into data analysis and unlock valuable insights that can drive business growth? Introduction to Data Analysis is a comprehensive course designed to provide learners with a solid foundation in the principles and techniques of data analysis. This course will equip you with the essential skills and knowledge to thrive in data analysis. With a comprehensive curriculum spanning 22 modules, you will delve deep into the world of data, from understanding its fundamentals to harnessing it for meaningful insights. Our expertly crafted curriculum covers data collection, process management, statistical tools, control charts, and strategies to deal with variation.Enrol today in this Introduction to Data Analysis course to succeed in all areas of your life. Let your skill become your greatest asset! Key Features of the Course This course equips learners with the essential tools and knowledge to analyse and interpret data accurately. The course is accredited, ensuring its recognition and credibility within the professional community. Learners will have access to 24/7 learning assistance, allowing them to seek guidance and support whenever needed. Who is This course for? This Introduction to Data Analysis course is suitable for students & professionals from various fields, including business, finance, marketing, healthcare, and more. It is also beneficial for individuals looking to enhance their data analysis skills for personal or professional development. What You Will Learn Throughout the course, you will delve into various modules that cover essential concepts and tools for data analysis. Starting with an introduction to process management principles, you will progress through topics such as the voice of the process, customer feedback analysis, and data visualisation using tools like Pareto charts, histograms, and run charts. You will also gain a deep understanding of variation and control charts and learn how to interpret and use them effectively for process improvement. By the end of the course, learners will have a solid understanding of these topics and be able to apply their knowledge to real-world data analysis scenarios. Why Enrol in This Course Data analysis is one of the most sought-after skills in today's job market. According to LinkedIn, data analysis is among the top 10 most in-demand skills for 2023. Data analysis can help you: Improve your decision-making skills and confidence Enhance your problem-solving and critical-thinking abilities Boost your creativity and innovation potential Increase your productivity and efficiency Advance your career and create earning potential Requirements There are no specific prerequisites for this course. However, a basic understanding of mathematics and statistics will be beneficial. Access to a computer with an internet connection is also required to complete the course. Career Path Completing this Introduction to Data Analysis course can lead to various career opportunities in data analysis. Some of the course-related professions in the UK, along with their average salaries, include: Data Analyst (£35,000 - £45,000 per year) Business Analyst (£40,000 - £55,000 per year) Financial Analyst (£40,000 - £60,000 per year) Market Research Analyst (£25,000 - £40,000 per year) Operations Analyst (£35,000 - £50,000 per year) Healthcare Data Analyst (£35,000 - £50,000 per year) Quality Control Analyst (£25,000 - £35,000 per year) Certification Upon successful completion of the course, learners will receive a CPD certificate, validating their achievement and demonstrating their commitment to professional development in the field of data analysis. Course Curriculum 3 sections • 24 lectures • 02:13:00 total length •Module 01: Introduction: 00:02:00 •Module 02: Agenda and Principles of Process Management: 00:06:00 •Module 03: The Voice of the Process: 00:05:00 •Module 04: Working as One Team for Improvement: 00:04:00 •Module 05: Exercise: The Voice of the Customer: 00:03:00 •Module 06: Tools for Data Analysis: 00:07:00 •Module 07: The Pareto Chart: 00:03:00 •Module 08: The Histogram: 00:03:00 •Module 09: The Run Chart: 00:04:00 •Module 10: Exercise: Presenting Performance Data: 00:05:00 •Module 11: Understanding Variation: 00:06:00 •Module 12: The Control Chart: 00:06:00 •Module 13: Control Chart Example: 00:04:00 •Module 14: Control Chart Special Cases: 00:06:00 •Module 15: Interpreting the Control Chart: 00:10:00 •Module 16: Control Chart Exercise: 00:07:00 •Module 17: Strategies to Deal with Variation: 00:06:00 •Module 18: Using Data to Drive Improvement: 00:14:00 •Module 19: A Structure for Performance Measurement: 00:06:00 •Module 20: Data Analysis Exercise: 00:06:00 •Module 21: Course Project: 00:03:00 •Module 22: Test your Understanding: 00:17:00 •Resources - Introduction to Data Analysis: 00:00:00 •Assignment - Introduction to Data Analysis: 00:00:00
Description: Digital marketing is promoting that makes utilisation of electronic gadgets, for example, PCs, cell phones, tablets and game consoles to connect with stakeholders. If you want to manage advertising and marketing campaign on that scale effectively, you have to comprehend the ever changing advertising Eco-system. This course will show you all that you have to know to land a position in advertising, run a successful campaign, develop your present business and find better approaches to build your value at your current place of employment. Who is the course for? This course would be ideal for people who want to learn about advertising and marketing. Entrepreneurs. Business owners. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: This Diploma in Advertising and Marketing is a useful qualification to possess, and would be beneficial for the following careers: Account Manager Business Development Executive Producers Group Account Director Marketing Manager Sales Specialists Strategist And Much More! Marketing Basics Module One - Getting Started 00:30:00 Module Two - What is Marketing 00:30:00 Module Three - Common Marketing Types (I) 00:30:00 Module Four - Common Marketing Types (II) 00:30:00 Module Five - The Marketing Mix 00:30:00 Module Six - Communicating the Right Way 01:00:00 Module Seven - Customer Communications 00:30:00 Module Eight - Marketing Goals 00:30:00 Module Nine - The Marketing Funnel 00:20:00 Module Ten - Marketing Mistakes (I) 01:00:00 Module Eleven - Marketing Mistakes (II) 01:00:00 Module Twelve - Wrapping Up 00:30:00 Level 3 Diploma in Marketing- Activities 00:00:00 Mastering Digital Marketing Introduction to Internet Marketing and Reputation Management 00:30:00 How to Optimise Your Site for Every Stage of the Buy Cycle 00:30:00 Build Impression on Your Site 00:30:00 Types of Link Building 01:00:00 Importance of Landing Pages 00:30:00 Difference Between Internet Marketing and Online Customer Service 01:00:00 Concept Of Affiliate Programs 01:30:00 About Of Google Analytics 01:00:00 Online Press Releases 00:15:00 How to Get Traffic from Twitter 00:30:00 Importance of Testing E-Mail Messages 00:15:00 What is Viral Marketing 01:00:00 What is EMail Marketing 00:30:00 Difference Between Images and Video 00:15:00 How to Internet Marketing on Facebook 02:00:00 What is Search Engine Optimization(SEO)? 00:30:00 Understanding Search Results 00:15:00 How to Attract Customer on Your Product? 00:15:00 Time Makes Money 00:30:00 How to Test a Landing Page 00:30:00 Best Web Writing 01:00:00 Ways to Use of Humor in You Internet Marketing 00:15:00 Coupon Codes 00:15:00 When to Pull the Plug 00:15:00 Internet Advertising Techniques INTRODUCTION: WHAT IS AFFILIATE MARKETING? 00:30:00 WHY AFFILIATE MARKETING IS AWESOME 00:30:00 FINDING A PROFITABLE NICHE 01:00:00 CHOOSING AN AFFILIATE PRODUCT 00:15:00 THE ADVANTAGES OF CLICK BANK 00:30:00 ANALYZING THE CLICK BANK MARKETPLACE 00:30:00 CREATING YOUR HOP LINK 00:30:00 CREATING A FREE BLOG 01:00:00 PERFORMING EFFECTIVE KEYWORD RESEARCH 00:30:00 CREATING AN OPTIMIZED POST 00:30:00 POSTING TO YOUR BLOG 00:15:00 PROMOTING YOUR BLOG: AN OVERVIEW 00:30:00 PROMOTION: ARTICLE MARKETING 00:30:00 PROMOTION: SOCIAL BOOKMARKING 01:00:00 PROMOTION: BLOG COMMENTING 00:30:00 ADDITIONAL PROMOTION TIPS 00:15:00 CREATING YOUR OWN WEBSITE 01:00:00 Email Marketing Introduction to Email Marketing 00:30:00 Using Email Marketing Software 00:30:00 Building Email Lists by Quantity 00:30:00 Building Email Lists by Quality 00:30:00 Crafting an Email 01:00:00 Analyzing and Tracking Your Email Marketing Strategy 00:30:00 Facebook Marketing Basics Introduction to Facebook 00:15:00 Why You Should Care 00:15:00 Setting up a Facebook Page 00:30:00 How to Get More Likes for Your Facebook Page 00:30:00 Facebook Advertising 00:30:00 How Much Does Facebook Advertising Cost? 00:30:00 Marketing on Facebook 01:00:00 Create a Content Calendar 00:15:00 Understanding Edge Rank & the Art of Engagement 00:15:00 Twitter Marketing TWITTER FOR BUSINESS 00:15:00 TOP TWITTER TIPS 00:15:00 TWITTER IS 00:15:00 BUSINESS TERMS 00:15:00 WHY USE TWITTER FOR MARKETING 00:15:00 TWITTER MARKETING BASICS 01:00:00 TWITTER METRICS 00:30:00 YOUR BIO 00:15:00 WHEN TO TWEET 00:15:00 BUILDING YOUR COMMUNITY 00:15:00 GENERATING LEADS 00:15:00 REAL-TIME TWITTER MARKETING 00:15:00 ENGAGEMENT 00:15:00 TWETIQUETTE (TWEETING ETIQUETTE) 00:15:00 Mock Exam Mock Exam- Diploma in Advertising and Marketing 00:30:00 Final Exam Final Exam- Diploma in Advertising and Marketing 00:30:00 Refer A Friend Refer A Friend 00:00:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
