695 API courses

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Duration 3 Days 18 CPD hours This course is intended for Channel and Customer Engineers Network Engineer System Engineer Wireless Engineer Consulting Systems Engineer Technical Solutions Architect Network Admisnistrator Wireless Design Engineer Network Manager Channel SEs Sales Engineer Channel AMs Account Manager Overview Upon completing this course, students will be able to meet these objectives: Understand the overall architecture of the Cisco security solutions and how APIs help enable security Understand how to use Cisco Firepower APIs Understand how pxGrid APIs function and their benefits Understand what capabilities the Cisco Stealthwatch APIs offer and construct API requests to them for configuration changes and auditing purposes Understand the features and benefits of using Cisco Stealthwatch Cloud APIs Learn how to use the Cisco Umbrella Investigate API Understand the Functionality provided by Cisco AMP and its APIs Learn how to use Cisco Threat Grid APIs to analyze, search, and dispose of threats This course demonstrates the tools and the benefits of leveraging programmability and automation in Cisco Security Solutions, including Cisco Firepower Management Center, Cisco Firepower Threat Defense, Cisco ISE, Cisco pxGrid, Cisco Stealthwatch Enterprise, Cisco Stealthwatch Cloud, Cisco Umbrella, Cisco AMP, Cisco Threat grid, and Cisco Security Management Appliances. Students will learn how to use the API for each Cisco security solution and specific applications of when the API benefits IT security content. Introducing Cisco Security APIs Role of APIs in Cisco Security Solutions Cisco Firepower, Cisco ISE, Cisco pxGrid, and Cisco Stealthwatch APIs Use cases and security workflow Consuming Cisco Advanced Malware Protection APIs Cisco AMP overview Cisco AMP endpoint API Cisco AMP use cases and workflows Discovery 1: Query Cisco AMP endpoint APIs for verifying compliance Using Cisco ISE Introducing Cisco Identity services engine Cisco ISE use cases Cisco ISE APIs Using Cisco pxGrid APIs Cisco pxGrid overview WebSockets and STOMP messaging protocol Discovery 2: Use the REST API and Cisco pxGrid with Cisco Identity services engine Using Cisco Threat Grid APIs Cisco threat grid overview Cisco threat grid API Cisco threat grid use cases and workflows Discovery 3: Construct a Python script using the Cisco threat grid API Investigating Cisco Umbrella Security Data Programmatically Cisco Umbrella investigate API overview Cisco Umbrella investigate API: Details Discovery 4: Query security data with the Cisco Umbrella investigate API Exploring Cisco Umbrella Reporting and Enforcement APIs Cisco Umbrella reporting and enforcement APIs: Overview Cisco Umbrella reporting and enforcement APIs: Deep dive Discovery 5: Generate reports using the Cisco Umbrella reporting API Automating Security with Cisco Firepower APIs Review basic constructs of Firewall policy management Design policies for automation Cisco FMC APIs in depth Discovery 6: Explore the Cisco Firepower management center API Cisco FTD automation with ansible Discovery 7: Use ansible to automate Cisco Firepower threat defense configuration Cisco FDM API in depth Discovery 8: Automate Firewall policies using the Cisco Firepower device manager API Operationalizing Cisco Stealthwatch and Its API Capabilities Cisco Stealthwatch overview Cisco Stealthwatch APIs: Details Discovery 9: Automate alarm policies and create reports using the Cisco Stealthwatch APIs Using Cisco Stealthwatch Cloud APIs Cisco Stealthwatch Cloud overview Cisco Stealthwatch Cloud APIs: Deep dive Discovery 10: Construct a report using Cisco stealthwatch Cloud APIs Describing Cisco Security Management Appliance APIs Cisco SMA APIs overview Cisco SMA API Discovery 11: Construct reports using Cisco SMA APIs

Duration 2 Days 12 CPD hours This course is intended for This course is recommended for technical professionals who automate, orchestrate, and troubleshoot Check Point secured environments. Overview Explain how automation and orchestration work together Understand the key drivers for incorporating automation and orchestration into security management Execute a shell script that demonstrates how to build a comprehensive Security Policy. Recognize how the Check Point API framework integrates with R80 Security Management to support automation and orchestration of daily tasks Describe Check Point API tools and demonstrate how they are used to manage Check Point Security Management solutions Demonstrate how to define new objects and modify existing ones by using the Check Point API The goal of this course is to provide an understanding of the advanced concepts and skills necessary to automate and orchestrate tasks relating to managing Check Point Security Policies Course Ouline Explain how automation and orchestration work together Understand the key drivers for incorporating automation and orchestration into security management Execute a shell script that demonstrates how to build a comprehensive Security Policy. Recognize how the Check Point API framework integrates with R80 Security Management to support automation and orchestration of daily tasks Describe Check Point API tools and demonstrate how they are used to manage Check Point Security Management solutions Demonstrate how to define new objects and modify existing ones by using the Check Point API Demonstrate how to create API commands to efficiently maintain the Check Point Security Management Server database Demonstrate how to use different methods to update the database with API commands Become familiar with client-side and server-side scripting and scripting languages Understand how to use the Bash shell to develop APIs Recognize and describe many of the open source tools that are available to assist with API development Demonstrate how to use a custom REST application to update the database of a Security Management Server Demonstrate how to use Postman to manage the Security Policy database through the Check Point API Understand what steps to take to troubleshoot and debug API scripts Demonstrate basic troubleshooting techniques by reviewing debugging messages in various forms Understand how to use self-service portal capabilities to provide general IT services Recognize how automation tools work with Check Point APIs to automate security management tasks and orchestrate workflow behind service portals Demonstrate common tasks that are automated in a Web portal to manage the Security Policy LAB Exercises Demonstrate Check Point automation and orchestration Manage objects using the Check Point API Create a management API shell script Use a variety of methods to execute API commands Use a custom REST tool for API calls Use Postman for API calls Debug the Check Point management API Automate tasks using a Check Point API enabled Web portal Additional course details: Nexus Humans CCAS Check Point Certified Automation Specialist 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 CCAS Check Point Certified Automation Specialist 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 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

This comprehensive course on HashiCorp Vault will make you an expert in deploying, configuring, and managing all key Vault services. It covers all objectives for passing the HashiCorp Certified: Vault Associate certification exam. Learn the latest HashiCorp concepts and master the core components to become a HashiCorp Vault expert.

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

About this Virtual Instructor Led Training (VILT)  Accredited by the United Kingdom Lubricants Association (UKLA), this 4 half-day Virtual Instructor Led Training (VILT) course will provide an in-depth understanding of the principles, economics and flexibility of lubricant blending plants and how to operate a lubricants blending plant efficiently and economically. The latest developments and trends in lubricant blending and the advantages and disadvantages of lubricant blending equipment, facilities and operations will be discussed. The importance of testing components and products for each blend, lubricant blend quality control and product quality management will also be explained. The VILT course will also clarify the importance of lubricant product filling, packaging and warehouse storage, strategies for optimising existing lubricant blending plant facilities and how to avoid or minimise problems with lubricant blending and product quality. The VILT course is recognised under the UKLA Continuing Professional Development (CPD) scheme for Registered Lubricant Professional. *There will be an examination for this VILT.   Training Objectives This VILT course will enable you to: Learn about Mineral Oil Base Oils; API Groups I, II and III: Properties and Characteristics Acquire the knowledge about Synthetic Base Oils; API Groups IV and V: Properties and Characteristics Learn about Lubricant Additives: Properties and Characteristics Know the Lubricant Formulation and Ease of Blending Explore the Blending Plant Design: Grassroots Plants and Upgrading Existing Plants Learn about Blending Plant Equipment and Facilities and Their Operation Understand the Lubricant Blending Issues: Avoiding Problems Test and Analyse Base Oils and Additives Test and Analyse Blended Lubricants Explore the importance of Product Quality Control Understand the process of Lubricant Packaging and Filling Understand the process of Lubricant Storage Learn about Product Quality Management Target Audience This VILT course will be useful and applicable for: Middle and Senior managers to understand how and why to design and operate an efficient and profitable lubricant blending plant. Blending plant operators and specialists to improve and optimise current blending plant operations. Manufacturers of lubricants will understand how and why high quality components and effective testing during the entire blending process are important to final lubricant product quality and performance. Lubricant formulators will understand the importance of close communication and co-operation with blending plant managers and operators to minimise blending costs and to thereby maximise product profitability. Course Level Intermediate Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader (CChem, MRC) has worked as Sales, Technical Marketing Manager and Company Director with over 50 years of broad experience in the lubricants, fuels, petroleum additives, with four leading companies Chevron, Ethyl Petroleum Additives Ltd, Texaco Limited and Kuwait Petroleum (GB) Ltd. His major recent responsibilities have been concerned with leading the Oil Industry Association United Kingdom Lubricants Association, and acting in an advisory capacity as Technical Director to the Association. He has acquired a wide experience in technical, marketing and sales within the oil industry. The related experience gained with the oil additives industry has provided him with special additional insights. He has also led the Certificate of Lubricant Competence course for the United Kingdom Lubricants Association (UKLA) for 11 years. He is a Chartered Chemist and a Member of the Royal Society of Chemistry. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Build the ultimate authentication boilerplate project with the MERN stack from scratch and deploy it to DigitalOcean cloud servers

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

This course offers a swift and straightforward way to learn Python programming. It is thoughtfully designed, packed with hands-on exercises, and tailored to assist you in embarking on your Python 3 journey. No prior programming experience is necessary to enroll in this course.