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Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

Duration 5 Days 30 CPD hours This course is intended for System administrators, IT security administrators, IT security engineers, and other professionals responsible for designing, implementing, maintaining, and managing the security of Red Hat Enterprise Linux systems and ensuring their compliance with the organization's security policies. Be a Red Hat Certified Engineer (RHCE©), or demonstrate equivalent Red Hat Enterprise Linux knowledge and experience. Overview Students that complete this course should be able to demonstrate these skills: - Analyze and remediate system compliance using OpenSCAP and SCAP Workbench, employing and customizing baseline policy content provided with Red Hat Enterprise Linux. - Monitor security-relevant activity on your systems with the kernel's audit infrastructure. - Explain and implement advanced SELinux techniques to restrict access by users, processes, and virtual machines. - Confirm the integrity of files and their permissions with AIDE. - Prevent unauthorized USB devices from being used with USBGuard. - Protect data at rest but provide secure automatic decryption at boot using NBDE. - Proactively identify risks and misconfigurations of systems and remediate them with Red Hat Insights. - Analyze and remediate compliance at scale with OpenSCAP, Red Hat Insights, Red Hat Satellite, and Red Hat Ansible Tower. This course is ideal for security administrators and system administrators who need to manage the secure operation of servers running Red Hat© Enterprise Linux©, whether deployed on physical hardware, as virtual machines, or as cloud instances. Maintaining security of computing systems is a process of managing risk through the implementation of processes and standards backed by technologies and tools. In this course, you will discover and understand the resources that can be used to help you implement and comply with your security requirements. This course is based on Red Hat Enterprise Linux 7.5, Red Hat Satellite 6.3, Red Hat Ansible© Engine 2.5, Red Hat Ansible Tower 3.2, and Red Hat Insights. 1 - MANAGE SECURITY AND RISK Define strategies to manage security on Red Hat Enterprise Linux servers. 2 - AUTOMATE CONFIGURATION AND REMEDIATION WITH ANSIBLE Remediate configuration and security issues with Ansible Playbooks. 3 - PROTECT DATA WITH LUKS AND NBDE Encrypt data on storage devices with LUKS and use NBDE to manage automatic decryption when servers are booted. 4 - RESTRICT USB DEVICE ACCESS Protect system from rogue USB device access with USBGuard. 5 - CONTROL AUTHENTICATION WITH PAM Manage authentication, authorization, session settings, and password controls by configuring pluggable authentication modules (PAMs). 6 - RECORD SYSTEM EVENTS WITH AUDIT Record and inspect system events relevant to security, using the Linux kernel's audit subsystem and supporting tools. 7 - MONITOR FILE SYSTEM CHANGES Detect and analyze changes to a server's file systems and their contents using AIDE. 8 - MITIGATE RISK WITH SELINUX Improve security and confinement between processes by using SELinux and advanced SELinux techniques and analyses. 9 - MANAGE COMPLIANCE WITH OPENSCAP Evaluate and remediate a server's compliance with security policies by using OpenSCAP. 10 - AUTOMATE COMPLIANCE WITH RED HAT SATELLITE Automate and scale your ability to perform OpenSCAP checks and remediate compliance issues using Red Hat Satellite. 11 - ANALYZE AND REMEDIATE ISSUES WITH RED HAT INSIGHTS Identify, detect, and correct common issues and security vulnerabilities with Red Hat Enterprise Linux systems by using Red Hat Insights. 12 - PERFORM A COMPREHENSIVE REVIEW Review the content covered in this course by completing hands-on review exercises. Additional course details: Nexus Humans Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) 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 Red Hat Security - Linux in Physical, Virtual, and Cloud (RH415) 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 course is intended primarily for network administrators, network engineers, network managers and systems engineers who would like to implement MPLS and MPLS Traffic Engineering. This course is also intended for network designers and project managers. Overview After completing this course the student should be able to: Describe the features of MPLS Describe how MPLS labels are assigned and distributed Configure and troubleshoot frame-mode MPLS on Cisco IOS platforms Describe the MPLS peer-to-peer architecture and explain the routing and packet-forwarding model in this architecture Configure, monitor, and troubleshoot VPN operations Describe how the MPLS VPN model can be used to implement managed services and Internet access Describe the various Internet access implementations that are available and the benefits and drawbacks of each model Describe the tasks and commands that are necessary to implement MPLS TE This course is designed to help students prepare for MPLS exam. This update to the course reflects the most-recent developments in network design and technologies, using real-world scenarios to help reinforce the learning of key objectives. MPLS Concepts Introducing Basic MPLS Concepts Introducing MPLS Labels and Label Stack Identifying MPLS Applications Label Assignmenet and Distribution Discovering LDP Neighbors Introducing Typical Label Distribution in Frame-Mode MPLS Introducing Convergence in Frame-Mode MPLS Frame-Mode MPLS Implementation on Cisco IOS Platforms Introducing CEF Switching Configuring Frame-Mode MPLS on Cisco IOS Platforms Monitoring Frame-Mode MPLS on Cisco IOS Platforms Troubleshooting Frame-Mode MPLS on Cisco IOS Platforms MPLS Virtual Private Network Technology Introducing Virtual Private Networks Introducing MPLS VPN Architecture Introducing the MPLS VPN Routing Model Forwarding MPLS VPN Packets MPLS VPN Implementation MPLS VPN Implementation Configuring an MP-BGP Session Between PE Routers Configuring VRF Tables Configuring Small-Scale Routing Protocols Between PE and CE Routers Monitoring MPLS VPN Operations Configuring OSPF as the Routing Protocol Between PE and CE Routers Configuring BGP as the Routing Protocol Between PE and CE Routers Troubleshooting MPLS VPNs Complex MPLS VPNs Introducing Overlapping VPNs Introducing Central Services VPNs Introducing the Managed CE Routers Service Internet Access and MPLS VPNs Combining Internet Access with MPLS VPNs Implementing Internet Access in the MPLS VPN Environment MPLS Traffic Engineering Overview Introducing MPLS Traffic Engineering Components MPLS Traffic Engineering Operations Configuring MPLS Traffic Engineering on Cisco IOS Platforms Monitoring Basic MPLS TE on Cisco IOS Platforms

Duration 3 Days 18 CPD hours This course is intended for This course is designed for technical professionals who will deploy or have deployed the Ultra M virtual packet core solution in their network, including: Systems engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the Ultra M hardware and software Describe the features covered in the OpenStack component overview and deployment architecture Describe the Ultra M deployment architecture and operation Describe the Virtualized Packet Core-Distributed Instance (VPC-DI) architecture and packet flow Deploy and operate Ultra M This course teaches you about the hardware components of the Cisco© Ultra M virtual packet core solution, including Cisco Nexus© spine and leaf switches and Cisco Unified Computing System. The course also covers the operation and administration of the Red Hat Enterprise Linux operating system in relation to the Ultra M Undercloud and Overcloud deployments. Cisco Ultra M Hardware and Topology Overview Cisco Ultra M Hardware Components Cisco Ultra M UCS Components Cisco Ultra M UCS Interfaces Cisco Ultra M Networking Components Cisco Ultra M Physical Network Topology OpenStack Deployment Architecture and Components OpenStack Overview Nova ? OpenStack Compute Service Glance ? OpenStack Image Service Neutron ? OpenStack Network Service Keystone ? OpenStack Identity Service Cinder ? OpenStack Block Storage Service OpenStack Horizon Dashboard Ultra M Services Platform Ultra Services Platform Architecture Ultra M VNF Architecture Ultra Automation Services (UAS) Elastic Services Controller OpenStack and Ultra Automation Services VPC-DI Overview and Operation Virtual Packet Core Evolution Ultra M Layer 3 Network Topology VPC-DI Network Topology VPC-DI Packet Flows Ultra M Installation and Deployment Reviewing the Ultra M System Components Planning the Network for Installation and Deployment Deploying Hyperconverged Ultra M Models Using UAS Deploying VNFs Using AutoVNF Ultra Automation Services Additional course details: Nexus Humans Cisco Ultra M Deployment and Operations v1.0 (SPMBL301) 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 Ultra M Deployment and Operations v1.0 (SPMBL301) 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 This advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 5 Days 30 CPD hours This course is intended for This course is designed for application developers. Overview Deploy microservice applications on Red Hat© OpenShift Container Platform. Build a microservice application with Quarkus. Implement unit and integration tests for microservices. Use the config specification to inject data into a microservice. Secure a microservice using OAuth. Build and deploy native Quarkus applications. Develop microservice-based applications with Quarkus and OpenShift. Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best approach. Quarkus is an exciting new technology that brings the reliability, familiarity, and maturity of Java Enterprise with a container-ready lightning fast deployment time. Red Hat Cloud-native Microservices Development with Quarkus (DO378) emphasizes learning architectural principles and implementing microservices based on Quarkus and OpenShift. You will build on application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications.. This course is based on OpenShift 4.5 and Quarkus 1.7L 1 - Describe microservice architectures Describe components and patterns of microservice-based application architectures. 2 - Implement a microservice with Quarkus Describe the specifications in Quarkus, implement a microservice with some of the specifications, and deploy it to an OpenShift cluster. 3 - Build microservice applications with Quarkus Build a persistent and configurable distributed quarkus microservices application. 4 - Implement fault tolerance Implement fault tolerance in a microservice architecture. 5 - Build and deploy native Quarkus applications Describe Quarkus in native mode and describe its deployment on OpenShift Container Platform. 6 - Test microservices Implement unit and integration tests for microservices. 7 - Create application health checks Create a health check for a microservice. 8 - Secure microservices Secure microservice endpoints and communication. 9 - Monitor microservices Monitor the operation of a microservice using metrics and distributed tracing. Additional course details: Nexus Humans Red Hat Cloud-native Microservices Development with Quarkus (DO378) 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 Red Hat Cloud-native Microservices Development with Quarkus (DO378) 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 0.5 Days 3 CPD hours This course is intended for Security EngineersNetwork Engineers Overview This course is intended to provide a top-level overview of Palo Alto Networks© Traps? Endpoint protection product. Upon completion of the class the student will be able to understand these principles: Explain the core technologies of Traps? and how it differs from traditional signature recognition technologies. Understand the advantages of these technologies over existing solutions. Understand Traps? product architecture and deployment requirements. Installation requirements for Traps? installations. Deploy Exploit Prevention Module defenses to endpoints with Policies. Deploy Malware Protection defenses to endpoints. Provide Application Execution Control in conjunction with WildFire?. Understand deployment strategies and tactics for Workstations, VDI and Server endpoints. Gather and analyze Security Event reports and forensics. Foundation classes are just introductory trainings, NOT a full technical training. Compromise isn?t inevitable, or, at least, it shouldn?t be. Traditional endpoint protection simply cannot keep up with the rapidly evolving threat landscape, leaving organizations vulnerable to advanced attacks. A new approach is needed, one that can rebuild confidence in endpoint security. This new approach needs to prevent advanced attacks originating from executables, data files or network-based exploits ? known and unknown ? before any malicious activity could successfully run. Palo Alto Networks© call this ?advanced endpoint protection.? By focusing on the attacker?s core techniques and putting up barriers to mitigate them, the attacker?s path for exploitation becomes known, even when the attack isn?t. Traps? focuses on the core techniques leveraged by exploits in advanced cyberattacks and renders these techniques ineffective by breaking the exploit sequence and blocking the technique the moment it is attempted. IntroductionThe Traps? technology alternative to endpoint defenseTraps? Exploit and Malware protectionTraps? Product ArchitectureTraps? DeploymentTraps? Exploit Policy ManagementTraps? Malware Protection PoliciesTraps? ForensicsPractical Traps? Implementation considerations Additional course details: Nexus Humans Palo Alto Networks - Foundations of Palo Alto Networks Traps Endpoint protection (EDU-180) 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 Palo Alto Networks - Foundations of Palo Alto Networks Traps Endpoint protection (EDU-180) 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 merchants, marketers, and content managers who want to learn more about using B2C Commerce Cloud Business Manager to manage end-to-end business operations for a Commerce Cloud storefront. This course is also useful for developers preparing for the B2C Commerce Developer certification, providing information on working with a B2C site and data management using Business Manager. Overview Organize a storefront using catalogs, categories, products, pricing, and search refinements. Improve results in search engines using SEO best practices. Improve on-site search using the search index, Einstein Search dictionaries, and sorting rules. Entice and target online shoppers using customer groups, qualifiers, campaigns, and promotions. Create shopper experiences using content slots, Page Designer, and Einstein Recommendations. Leverage analytics and reports to determine success. Create A/B tests to make decisions on storefront experiences. Discover how to present products in a compelling way on a B2C Commerce Cloud storefront so you can turn customers into repeat customers. In this 5-day extended* class, you?ll learn how to improve conversion rates and increase the average order size of shoppers. Our B2C Commerce Cloud experts will walk you through how to organize an existing site, use best practices in search and online marketing, enhance the shopper experience, and leverage analytics to understand what products are selling best and why. NOTE: This course does not include site creation, programming, or site design. This class is taught using the SFRA reference architecture site and not the client?s specific site. Client specific site is used during the Launch Readiness Bootcamp conducted by Services. Getting Started Introductions Housekeeping B2C Commerce Overview Shop Organization Explain How Catalogs Work Create Categories Manage Products Manage Pricing & Inventory Configure Search Refinements Search & Sort Manage Search Engine Optimization Implement Searchandizing Strategies Online Marketing Use Qualifiers (coupon codes, source codes, customer groups) Create Promotions Create and Manage Campaigns Refine Campaigns Shopper Experience Identify Content Management Basics Create and Manage Content Slots Create a Page Using Page Designer Identify Einstein Recommender Types and Related Strategies Analysis and Optimization View Production Reports Create an A/B Test

Duration 4 Days 24 CPD hours This course is intended for A Dynamics 365 Business Central core Functional Consultant is responsible for implementing core application setup processes for small and medium businesses. Overview Understand use cases for Business Central modules Set up Business Central Configure Financials Configure Sales and Purchasing Configure Operations Understand Integrationa nd Automation scenarios Built and optimized for small and medium businesses, Dynamics 365 Business Central is an application for companies that have outgrown their entry-level business applications. Growing businesses often outgrow their basic accounting software or legacy enterprise resource planning (ERP) systems that are unable to handle increased inventory and transactions, lack integration with other line-of-business systems, and have reporting limitations. Businesses are also challenged with the logistics of providing services that have more scalability, increased mobility, and availability in the cloud. With Business Central, you can manage your financials, automate and secure your supply chain, sell smarter, improve customer service and project performance, and optimize your operations. Introduction to Business Central Modules Introduction to Business Central Technology overview Navigate the user interface Master data for the Sales and Purchase process Application Setup Create and configure a new company Migrate data to Business Central Manage Security Set up core app functionality Set up dimensions Configure Financials Set up Finance Management Set up the Chart of Accounts Set up posting groups General Journals Set up Cash Management Set up Accounts Payables Set up Accounts Receivables Configure Sales and Purchasing Set up Inventory Configure prices and discounts Operations Purchase items Sell items Process financial transactions Inventory costing Integration and Automation Set up and use approvals with workflows Connect Power Apps Connect Power Automate Connect Power BI

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