57816 Courses

Duration 2 Days 12 CPD hours This course is intended for The ProxySG 6.6 Basic Administration course is intended for students who wish to master the fundamentals of the ProxySG. It is designed for students who have not taken any previous training courses about the ProxySG. Overview Describe the major Secure Web Gateway functions of the ProxySG.License and configure a ProxySG.Deploy a ProxySG in either explicit or transparent mode.Use the Visual Policy Manager to write policies to manage web filtering, authentication, and SSL traffic management.Use ProxySG access logs to generate reports. The ProxySG 6.6 Basic Administration course is an introduction to deployment options and management of the individual key features offered using the ProxySG 6.6 solution. Introduction to the Symantec ProxySG Secure Web Gateway Describe the functions of a proxy server Differentiate proxy servers from firewalls Describe the key features and benefits of the ProxySG List the various ProxySG models Access online Symantec community resources ProxySG Security Deployment Options Describe the three network deployment methods Describe the three possible roles of the ProxySG ProxySG Management Console Describe the relationship between the Management Console and the ProxySG CLI Describe the primary function of the major areas of the Management Console Use the Management Console to access on-box help and Symantec product documentation Traffic Interception Using Proxy Services Understand the functions of proxy services, listeners, and proxy types Describe the three most common proxy services Explain how the intercept and bypass settings affect what happens to network traffic passing through the ProxySG Explain the function of common global proxy service settings Hypertext Transfer Protocol Understand how a connection is initiated over the transport layer Identify the components of an HTTP URL Explain the two types of HTTP messages: request and response Identify common response codes Introduction to the Visual Policy Manager Describe the relationship among the VPM, CPL, and the Management Console Describe the default processing order for policy layers and rules Describe triggers and actions that can be used in writing policy Identify the types of objects that the VPM supports Describe some of the best practices to be followed when using the VPM to create policy Filtering Web Content Describe the main concepts of web filtering Describe the primary category databases Describe the category types available to policy Describe how WebFilter and WebPulse work together Using Threat Intelligence to Defend the Network Understand Intelligence Services as provided by the Global Intelligence Network Understand Geolocation and Threat Risk Levels and how they can be used in policy Ensuring Safe Downloads Describe how malware can be transmitted via HTTP Explain the methods, advantages, and disadvantages of file type detection Describe some of the considerations in deciding what content to block as possible malware sources Notifying User of Internet Usage Policies Explain the function and various components of built-in and custom exception pages Describe the function of Notify User objects Identify the types of pages that can be sent to users by using Notify User objects Describe splash pages and coaching pages using Notify User objects in the VPM Access Logging on the ProxySG Describe, at a high level, how the ProxySG performs access logging Describe the components of a ProxySG access log facility Identify default log facilities and log formats Describe common use cases for periodic and continuous uploading of access logs

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following customer job roles: Cloud architects, administrators, and SysOps personnel Cloud developers and DevOps personnel Overview This course teaches participants the following skills: Plan and implement a well-architected logging and monitoring infrastructure Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) Create effective monitoring dashboards and alerts Monitor, troubleshoot, and improve Google Cloud infrastructure Analyze and export Google Cloud audit logs Find production code defects, identify bottlenecks, and improve performance Optimize monitoring costs This course teaches you techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage. Introduction to Google Cloud Monitoring Tools Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Avoiding Customer Pain Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation Measure customer pain with SLIs Define critical performance measures Create and use SLOs and SLAs Achieve developer and operation harmony with error budgets Alerting Policies Develop alerting strategies Define alerting policies Add notification channels Identify types of alerts and common uses for each Construct and alert on resource groups Manage alerting policies programmatically Monitoring Critical Systems Choose best practice monitoring project architectures Differentiate Cloud IAM roles for monitoring Use the default dashboards appropriately Build custom dashboards to show resource consumption and application load Define uptime checks to track aliveness and latency Configuring Google Cloud Services for Observability Integrate logging and monitoring agents into Compute Engine VMs and images Enable and utilize Kubernetes Monitoring Extend and clarify Kubernetes monitoring with Prometheus Expose custom metrics through code, and with the help of OpenCensus Advanced Logging and Analysis Identify and choose among resource tagging approaches Define log sinks (inclusion filters) and exclusion filters Create metrics based on logs Define custom metrics Link application errors to Logging using Error Reporting Export logs to BigQuery Monitoring Network Security and Audit Logs Collect and analyze VPC Flow logs and Firewall Rules logs Enable and monitor Packet Mirroring Explain the capabilities of Network Intelligence Center Use Admin Activity audit logs to track changes to the configuration or metadata of resources Use Data Access audit logs to track accesses or changes to user-provided resource data Use System Event audit logs to track GCP administrative actions Managing Incidents Define incident management roles and communication channels Mitigate incident impact Troubleshoot root causes Resolve incidents Document incidents in a post-mortem process Investigating Application Performance Issues Debug production code to correct code defects Trace latency through layers of service interaction to eliminate performance bottlenecks Profile and identify resource-intensive functions in an application Optimizing the Costs of Monitoring Analyze resource utilization cust for monitoring related components within Google Cloud Implement best practices for controlling the cost of monitoring within Google Cloud

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 5 Days 30 CPD hours This course is intended for Implementer Overview Enrolling in this course will help you better understand and leverage PeopleSoft Payroll for North America (USA) payroll requirements and processes. This knowledge will help you create, adjust and troubleshoot your organization's employee payroll. Learn Off-Cycle Payroll Events In addition to typical on-cycle payroll processing, Payroll for North America provides functionality for a variety of off-cycle payroll events and other payroll requirements. This course will illustrate how to reverse a paycheck, record a manual check, produce online checks and final checks and create a gross up check. In addition, you'll also learn the necessary steps to set up and process mid-period job changes and multiple jobs. Finally, you'll set up and processes benefit deductions and garnishments. This PeopleSoft Payroll - US Rel 9.2 training teaches you how to set up and maintain employee tax data, additional pay, general deductions and direct deposits. Expert Oracle University instructors will show you how to use this solution to calculate payroll, review calculation results, identify and correct errors, confirm payroll and more. Setting Up PeopleSoft HRMS Tables for Payroll Processing Identifying HRMS Tables That Impact Payroll Processing Describing Installation Table Setup for PeopleSoft Enterprise Payroll for North America Describing the Role of SetID, Location, and Department in Payroll Processing Describing Company Table Setup Desc Setting Up Payroll Tables Identifying Payroll Setup Tables Setting Up Source Bank Accounts Creating Special Accumulators Setting Up Earnings Codes Setting Up Earnings Programs Describing Shift Pay Setup Creating a Pay Group Creating a Rate Code Setting Up U.S. Payroll Tax Tables Identifying Tax Table Maintenance Responsibility Describing PeopleSoft-Maintained Tax Tables Setting Up Customer-Maintained Tax Tables Setting Up Employee Data Identifying Sources of Employee Data Setting Up an Employee Instance Entering and Viewing Employee Job Data Identifying Employee Pay Data Updating Employee Tax Data Assigning Additional Pay to Employees Assigning General Deductions to Employees Updating P Creating and Updating Paysheets Describing Paysheets in Payroll for North America Describing Balance ID Creation Creating Pay Calendars Setting Up Pay Run IDs Creating Paysheets Viewing and Updating Paysheets and Paylines Describing the Payroll Unsheet Process Calculating Payroll Describing Payroll Calculation Running Preliminary Payroll Calculation Running Final Payroll Calculation Confirming Payroll and Producing Checks and Reports Confirming a Payroll Viewing Confirmed Payroll Results Online Printing Checks and Advices Describing Check Reprinting Describing Direct Deposit Transmittals and Reports Describing Payroll and Tax Reports Identifying Methods of Reversing Payroll Confirmati Processing Off-Cycle Payrolls Identifying Off-Cycle Payroll Processing Reversing a Paycheck Describing Reversal/Adjustment Processing Recording a Manual Check Producing an Online Check Describing Retroactive Processing Setting Up and Processing Additional Payroll Functionality Setting Up a Holiday Schedule Setting Up Advanced Earnings Options Setting Up Multiple Jobs Processing Setting Up and Processing Mid-period Job Changes Processing Gross Ups Setting Up and Processing Benefit Deductions in Payroll Setting Up Deductions and Earnings for Benefits Calculations Updating a Benefit Program and Enrolling Employees Analyzing Benefits-Related Payroll Reports Setting Up and Processing Garnishments Identifying Garnishment Setup Steps Describing PeopleSoft-Maintained Garnishment Tables Setting Up Company-Level Tables for Garnishment Processing Assigning an Employee Garnishment Deduction Setting Up Employee Garnishment Specification Data Reviewing Emp Describing PeopleSoft Enterprise ePay Identifying HRMS Tables That Impact Payroll Processing Describing Installation Table Setup for PeopleSoft Enterprise Payroll for North America Describing the Role of SetID, Location, and Department in Payroll Processing Describing Company Table Setup Desc

This accredited qualification is ideal for anyone who requires training in conflict management. It is appropriate for a wide range of sectors and is suitable for anyone who has a customer facing role, dealing with service users or the public. It is also a useful qualification for individuals who would like a better understanding of how to prevent conflict situations from arising and feel more confident in being able to deal with situations if they arise. Subjects covered include the role of communication and the assessment of risks in conflict situations and follow up practices after such events. How long will it take me to achieve this qualification? This qualification is usually achieved by taking a 2 day course. How is the qualification assessed? The qualification is assessed through a 1 hour, 30-question, multiple-choice question examination. Candidates must achieve a score of at least 20 out of 30 in order to pass.

Instructor training enables companies to have their own AITT Forklift Instructor. On completion they are able to instruct and examine operators on company premises. Also it could be an opportunity for an individual to embark upon a rewarding career as a recognised AITT instructor. The course complies with the approved code of practice issued by the Health & Safety Executive. We offer the AITT Instructor training course at our training centre in Warrington, Cheshire. We use all the best tools and equipment to assist trainee development. Our Instructor’s Mike Hammett and Stephen McCann have a lot of experience in this course, both have very good success rates and offer alot of after care too! Once an Instructor has passed their AITT Instructor training course they can always come back and receive professional advice. We always go the extra mile! AITT Accredited Novice Course: The Instructor training course caters for candidates seeking to become an AITT Registered Instructor. Previous fork lift experience is strongly recommended and candidates must have a current counterbalance certificate dated within 36 months prior to the course start date. Refresher courses are available prior to the instructor course extending the duration by one day to 11 days. Objectives: On successful completion of the course the candidate will be qualified to teach and train on all Industrial Counterbalance and Reach trucks for which they are certificated to use as operators. Target Group: The employer should carefully select the correct person for the job as an instructor. They should be literate and numerate with good presentation skills. The AITT recommend that candidates have a minimum of 12 months operating experience before attending the course. During the course candidates will be progressively assessed in all key areas. Candidates therefore must have a good knowledge of each subject and are provided with some excellent materials to assist them on completion of the course. AITT Instructor Training Course Duration: 3 or 5 days for Re-qualification or Re-Registration courses. 5 days for Assimilation Courses. 10-12 days for the Novice AITT instructor training course. Contents: Principles of instruction. Instructional techniques. HASAWA 1974/PUWER 1998/LOLER 1998/L117. Setting up courses. Administering the tests etc. All original documentation supplied by examining body and HSE. Prices are available on request and should you require any further information please do not hesitate to contact us. We also offer In-House Instructor training to suit companies needs and these are of five day durations, please contact for further details. Please feel free to download our Course Syllabus’s below and decide which course best meets your needs. See Mike at work demonstrating a lesson of De-stacking from High Level. In-House Courses: These courses are aimed at companies wishing to use their own Instructors to train staff. IN-HOUSE BASIC INSTRUCTOR COURSE PDF AITT Instructor Training Courses: On completion of these courses candidates will be registered as an AITT Instructor and be able to train on anything they are currently qualified to operate. Courses vary depending on experience and current qualifications so please have a look at the following courses to see which suits best. More information is available at www.aitt.co.uk.

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for IT Professionals and Consultants. Overview Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment. Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution. Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations. This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam. Module 1: Methodology & Assessment The Citrix Consulting Methodology Citrix Consulting Methodology Use Business Drivers Prioritize Business Drivers User Segmentation User Segmentation Process App Assessment Introduction App Assessment Analysis Why Perform a Capabilities Assessment? Common Capabilities Assessment Risks Module 2: User Layer Endpoint Considerations Peripherals Considerations Citrix Workspace App Version Considerations Citrix Workspace App Multiple Version Considerations Network Connectivity and the User Experience Bandwidth and Latency Considerations Graphics Mode Design Considerations HDX Transport Protocols Considerations Media Content Redirection Considerations Session Interruption Management Session Reliability Feature Considerations Session Interruption Management Auto-Client Reconnect Feature Considerations Session Interruption Management ICA Keep-Alive Feature Considerations Module 3: Access Layer Access Matrix Access Layer Access Layer Communications Double-Hop Access Layer Considerations Citrix Cloud Access Layer Considerations Use Cases for Multiple Stores Define Access Paths per User Group Define Number of URLs Configuration and Prerequisites for Access Paths Citrix Gateway Scalability Citrix Gateway High Availability StoreFront Server Scalability StoreFront Server High Availability Module 4: Resource Layer - Images Flexcast Models VDA Machine Scalability VDA Machine Sizing with NUMA VDA Machine Sizing VDA Machine Scalability Cloud Considerations Scalability Testing and Monitoring Secure VDA Machines Network Traffic Secure VDA Machines Prevent Breakouts Secure VDA Machines Implement Hardening Secure VDA Machines Anti-Virus Review of Image Methods Citrix Provisioning Overall Benefits and Considerations Citrix Provisioning Target Device Boot Methods Citrix Provisioning Read Cache and Sizing Citrix Provisioning Write Cache Type Citrix Provisioning vDisk Store Location Citrix Provisioning Network Design Citrix Provisioning Scalability Considerations Citrix Machine Creation Services Overall Benefits and Considerations Citrix Machine Creation Services Cloning Types Citrix Machine Creation Services Storage Locations & Sizing Citrix Machine Services Read and Write Cache App Layering Considerations Image Management Methods Module 5: Resource Layer - Applications and Personalization Application Delivery Option Determine the Optimal Deployment Method for an App General Application Concerns Profile Strategy Profile Types Review Citrix Profile Management Design Considerations Citrix Profile Management Scaling Citrix Profile Management Permissions Policies Review Optimize Logon Performance with Policies Printing Considerations Module 6: Control Layer Pod Architecture Introduction Pod Architecture Considerations Citrix Virtual Apps and Desktops Service Design Considerations Implement User Acceptance Testing Load Balancing the Machine Running the VDA Citrix Director Design Considerations Management Console Considerations Change Control Delivery Controller Scalability and High Availability Control Layer Security Configuration Logging Considerations Session Recording Module 7: Hardware/Compute Layer Hypervisor Host Hardware Considerations Separating Workloads Considerations Workload Considerations VMs Per Host and Hosts Per Pool Citrix Hypervisor Scalability VM Considerations in Azure and Amazon Web Services Storage Tier Considerations Storage I/O Considerations Storage Architecture Storage RAID & Disk Type Storage Sizing LUNs Storage Bandwidth Storage in Public Cloud Datacenter Networking Considerations Securing Hypervisor Administrative Access Secure the Physical Datacenter Secure the Virtual Datacenter Module 8: Module 8: High Availability and Multiple Location Environments Redundancy vs. Fault Tolerance vs. High Availability Multi-Location Architecture Considerations Multi-Site Architecture Considerations Global Server Load Balancing Optimal Gateway Routing Zone Preference and Failover StoreFront Resource Aggregation StoreFront Subscription Sync Hybrid Environment Options Citrix Provisioning Across Site Site Database Scalability and High Availability Citrix Provisioning Across Sites Considerations Citrix Machine Creation Across Sites App Layering Across Sites Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices Profile Management Multi-Site Replication Considerations Folder Redirections and Other User Data in a Multi-Location Environment Application Data Considerations Cloud-Based Storage Replication Options Multi-Location Printing Considerations Zone Considerations Active Directory Considerations Module 9: Disaster Recovery Tiers of Disaster Recovery Disaster Recovery Considerations Business Continuity Planning and Testing Citrix Standard of Business Continuity

Duration 3 Days 18 CPD hours This course is designed for Architects, and System Administrators interested in gathering a deeper understanding on how Hyperledger Fabric Networks are Architected and operated throughout. You will learn about the integral base files in which Fabric are built upon. You will learn about how identity, and permissions are administered throughout Membership Only networks. Additionally, you will gather the experience necessary to enter into and manage nodes/peer needs (i.e. chaincode installation, securing communication, etc).

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 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering