1590 Basic courses in Coventry delivered Live Online

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

Why Learn Adobe InDesign Advanced Training Course? Master Adobe InDesign for efficient page layouts with our advanced course. Learn document setup, text formatting, and special effects. Suitable for beginners and advanced users. London Design Training Course provides top InDesign course with Adobe Certified Instructors. Course Link Duration: 10 hrs Method: 1-on-1, Personalized attention Schedule: Tailor your own schedule by pre-booking hours of your choice, available from Mon to Sat between 9 am and 7 pm Flexible Learning Options: Choose between in-class training at our London center or participate online. Both options provide hands-on, practical learning with step-by-step demonstrations and ample opportunities for questions. Introduction to InDesign: Exploring InDesign Basics Customizing Preferences and Workspace Navigating Panels and Windows Setting Up Toolbar and Properties Panel Document Management: New Document, Pages, and Order Quick Navigation Techniques with Shortcuts Smart Layout: Organizing Layouts with Guides and Grids Understanding Bleed, Slug, and Margins Utilizing Smart Guides for Precision Typography: Mastering the Type Tool Adding Text to Pages and Using Placeholder Text Text Formatting with Character and Paragraph Controls Editing Text Frames and Justifying Text Multi-column Setup and Styling with Character/Paragraph Styles Working with Bullet Points and Numbering Working with Images: Creating Frames and Placing Images Content Fitting Options: Proportional Fit, Content-Aware Fit, Auto-Fit Manipulating Frame Properties: Fill, Stroke, Effects Utilizing Object Styles for Consistent Frames Advanced Techniques: Image Frame Grids, Merging Frames, Text Wrap Options Understanding Image Formats and Resolution Tabs and Alignment: Mastering Tab Palette and Alignment Options Adding Leaders for Enhanced Formatting Color Theory and Editing: Basics of Color Theory and Color Modes Creating Color Themes with the Color Theme Tool Swatches, Color Libraries, and Gradients Editing Gradient Fills and Colors Advanced Interactive Actions: Adding Animation Effects with Animation Panel Fine-tuning Animations with Timing Panel Creating Complex Object States and Action Buttons Adding and Testing Hyperlinks, Page Transitions Parent Page Basics: Understanding Parent Pages Page Numbering, Order, Headers, and Footers Inserting Text Variables for Dynamic Content Advanced Object Styles and Effects: Opacity Control and Blending Modes Black and White Conversion, Color Blending Modes Adding Dimension with Bevel and Emboss Effects Advanced Text Frame Options: Auto-sizing Text Frames and Balancing Column Height Inset Spacing and Fill Colors for Text Boxes Hot Corner Resizing Shortcuts and Anchor Objects Footnotes: Purpose and Usage of Footnotes Adding, Editing Footnotes with Footnote Options By the end of this Adobe InDesign training, participants will: Understand InDesign basics and its interface. Create effective page layouts with text formatting and image placement. Work with layers, apply special effects, and manage tables. Ensure error-free and print-ready documents through preflighting. Receive a practical training guide and an e-certificate upon completion.

Why Choose Vray for Rhino Training Course? Click for more info. Become skilled in photorealistic rendering with V-Ray for Rhino through our course. Led by certified tutors, you'll learn lighting, materials, and rendering, as well as advanced techniques like textures and global illumination. In-person or live online sessions and receive a Certificate of Completion. Duration: 10 hrs Method: 1-on-1, Personalized attention Schedule: Tailor your own hours of your choice, available from Mon to Sat between 9 am and 7 pm. Why Enroll in Our Vray for Rhino Training Course? Elevate your skills in the art of photorealistic rendering with our comprehensive V-Ray for Rhino training program. Led by certified experts, this course delves into the nuances of lighting, materials, rendering, and advanced techniques such as textures and global illumination. Whether you're a beginner or looking to enhance your proficiency, our course caters to all skill levels. What Sets Our Course Apart? Expert Guidance: Learn from our certified tutors who provide personalized attention in 1-on-1 sessions, ensuring you grasp every concept thoroughly. Flexible Learning: Tailor your own learning schedule at your convenience. Our in-person and live online sessions are available from Monday to Saturday, between 9 am and 7 pm, accommodating various time zones and commitments. Comprehensive Curriculum: Master the intricacies of Rhino and V-Ray rendering, progressing seamlessly from beginner to advanced levels. Dive into the exclusive realm of architectural exterior rendering with V-Ray 6 for Rhino and Rhino 7 in our specialized London Design Training Course. Course Highlights: Duration: 10 hours of intensive training to hone your skills and gain expertise in V-Ray for Rhino. Method: Personalized 1-on-1 attention ensures focused and effective learning, allowing you to ask questions and receive immediate feedback. Certification: Upon completion, receive a prestigious Certificate of Completion, validating your mastery of V-Ray for Rhino. Why Enroll in Our Vray for Rhino Training Course? Elevate your skills in the art of photorealistic rendering with our comprehensive V-Ray for Rhino training program. Led by certified experts, this course delves into the nuances of lighting, materials, rendering, and advanced techniques such as textures and global illumination. Whether you're a beginner or looking to enhance your proficiency, our course caters to all skill levels. What Sets Our Course Apart? Expert Guidance: Learn from our certified tutors who provide personalized attention in 1-on-1 sessions, ensuring you grasp every concept thoroughly. Flexible Learning: Tailor your own learning schedule at your convenience. Our in-person and live online sessions are available from Monday to Saturday, between 9 am and 7 pm, accommodating various time zones and commitments. Comprehensive Curriculum: Master the intricacies of Rhino and V-Ray rendering, progressing seamlessly from beginner to advanced levels. Dive into the exclusive realm of architectural exterior rendering with V-Ray 6 for Rhino and Rhino 7 in our specialized London Design Training Course. Course Highlights: Duration: 10 hours of intensive training to hone your skills and gain expertise in V-Ray for Rhino. Method: Personalized 1-on-1 attention ensures focused and effective learning, allowing you to ask questions and receive immediate feedback. Certification: Upon completion, receive a prestigious Certificate of Completion, validating your mastery of V-Ray for Rhino. Join our 10-hour Vray for Rhino 3D training course for a comprehensive understanding of Vray's integration with Rhino 3D. Learn lighting, camera settings, materials, rendering, and post-production techniques. Master the skills to create realistic and high-quality renders with Vray for Rhino 3D. Module 1: Introduction to Vray for Rhino 3D (2 hours) Discover the purpose and advantages of Vray for Rhino 3D. Successfully install and set up Vray for Rhino 3D. Navigate the Vray interface and explore its workflow. Gain insights into Vray materials and their effective application. Module 2: Lighting with Vray (2 hours) Master techniques for achieving compelling lighting with Vray in Rhino 3D. Familiarize yourself with various types of Vray lights and their settings. Create and control Vray sun and sky for outdoor scenes. Utilize Vray dome lighting for captivating interior renderings. Employ IES lights to achieve lifelike lighting effects. Understand the lighting workflow with Vray in Rhino 3D. Module 3: Vray Camera (2 hours) Gain proficiency in Vray camera settings and their impact on the final render. Control exposure using Vray camera settings. Explore Vray depth of field for captivating focusing effects. Create dynamic visual presentations with Vray camera animations. Harness the features and functionalities of Vray frame buffer. Module 4: Vray Materials (2 hours) Unveil the intricacies of Vray materials and their properties. Create visually stunning and realistic materials using Vray. Organize and save custom Vray material libraries for efficient workflow. Optimize productivity with Vray material overrides for quick material changes. Module 5: Vray Rendering and Post Production (2 hours) Delve into Vray rendering settings for optimal results. Master the art of rendering high-quality images and animations using Vray. Enhance Vray renders through post-production techniques in Photoshop. Fine-tune the output using Vray frame buffer. Gain control by compositing Vray render elements in Photoshop. Utilize Vray denoiser for noise reduction in renders. Chaos Group https://www.chaos.com â€º vray › rhino › free-trial V-Ray for Rhino. Powerful rendering for product design and architecture. Try free for 30 days. Download trial. Overview; What's new; Download trial. Why Learn V-Ray for Rhino? V-Ray is a widely acclaimed photorealistic renderer, renowned for its precision and fast raytracing capabilities. While some may find V-Ray to be complex, our course simplifies the process, allowing you to create, adjust, and render architectural scenes with ease. V-Ray for Rhino Basics Acquire essential V-Ray knowledge, including default engine render, V-Ray camera usage, VRay editor, progressive rendering, V-Ray sun and camera settings, lighting techniques with V-Ray lights and IES lights, color mapping, and working with V-Ray materials and HDRI. Join us for this comprehensive London Design Training Course on V-Ray for Rhino and elevate your architectural rendering skills to the next level.

Duration 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-1) 102 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: customize shell environments to meet users' needs customize existing scripts or write simple new Bash scripts install and configure X11 add, remove, suspend and change user accounts use cron and systemd timers to run jobs at regular intervals and to use at to run jobs at a specific time localize a system in a different language than English properly maintain the system time and synchronize the clock via NTP manage print queues and user print jobs using CUPS and the LPD compatibility interface manage the persistent network configuration of a Linux host configure DNS on a client host review system configuration to ensure host security in accordance with local security policies know how to set up a basic level of host security use public key techniques to secure data and communication. This course prepares students to take the 102 exam of the LPI level 1 certification. Shells and Shell Scripting Customize and use the shell environment Customize or write simple scripts User Interfaces and Desktops Install and configure X11 Graphical Desktops Accessibility Administrative Tasks Manage user and group accounts and related system files Automate system administration tasks by scheduling jobs Localisation and internationalisation Essential System Services Maintain system time System logging Mail Transfer Agent (MTA) basics Manage printers and printing Networking Fundamentals Fundamentals of internet protocols Persistent network configuration Basic network troubleshooting Configure client side DNS Security Perform security administration tasks Setup host security Securing data with encryption Additional course details: Nexus Humans Linux Professional Institute Certification (LPIC-1) 102 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 Linux Professional Institute Certification (LPIC-1) 102 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 Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions

Duration 4 Days 24 CPD hours This course is intended for #NAME? Overview At the completion of this course, students already familiar with the RHCT/RHCSA administration skills will have exposure to all competencies tested by the RHCSA and RHCE exams. If you are an experienced Linux© system administrator and hold a Red Hat Certified System Administrator (RHCSA©) credential or possess equivalent skills and want to broaden your ability to administer Linux systems at an enterprise level, this is the perfect course.The course will empower you to deploy and manage network servers running caching domain name service (DNS), MariaDB, Apache HTTPD, Postfix SMTP null clients, network file sharing with network file system (NFS) and server message block (SMB), iSCSI initiators and targets, advanced networking and firewall configurations, and to use bash shell scripting to help automate, configure, and troubleshoot your system. Through lectures and hands-on labs, you will be exposed to all competencies covered by the Red Hat Certified Engineer (RHCE) exam (EX300), supplementing what you have already learned in earning your RHCSA credential.This course is based on Red Hat© Enterprise Linux 7. Getting Started with the Classroom Environment Given a virtualized environment, begin to administrate multiple systems using prerequisite skills Enhance User Security Configure system to use Kerberos to verify credentials and grant privileges via sudo Bash Scripting and Tools Automate system administration tasks utilizing Bash scripts and text-based tools File Security with GnuPG Secure files with GnuPG. Software Management Use yum plugins to manage packages and understand the design of packages to build a simple package Network Monitoring Profile running services then capture and analyze network traffic Route Network Traffic Configure system to route traffic and customize network parameters with sysctl Secure Network Traffic Secure network traffic through SSH port forwarding and iptables filtering/network address translation (NAT) NTP Server Configuration Configure an NTP server Filesystems and Logs Manage local file system integrity, monitor system over time, and system logging Centralized and Secure Storage Access centralized storage (iSCSI) and encrypt filesystems SSL-encapsulated Web Services Understand SSL certificates and deploy an SSL encapsulated web service Web Server Additional Configuration Configure web server with virtual hosts, dynamic content, and authenticated directories Basic SMTP Configuration Configure an SMTP server for basic operation (null client, receiving mail, smarthost relay) Caching-Only DNS Server Understand DNS resource records and configure a caching-only name server File Sharing with NFS Configure file sharing between hosts with NFS File Sharing with CIFS Configure file and print sharing between hosts with CIFS File Sharing with FTP Configure file sharing with anonymous FTP Troubleshooting Boot Process Understand the boot process and recover unbootable systems with rescue mode

Duration 5 Days 30 CPD hours This course is intended for Practiced Linux system administrators who currently manage Linux servers at the enterprise level - Skilled Linux system administrators who who want or are required to demonstrate competencies by earning the RHCSA This course is designed for experienced Linux System Administrators who want to harden their technical skill sets and become accredited with the RHCSA certification. Accessing the command line Log in to a Linux system and run simple commands using the shell. Managing Files from the command line Work with files from the bash shell prompt. Managing local Linux users and groups Manage Linux users and groups and administer local password policies. Controlling access to files with Linux file system permissions Set access permissions on files and interpret the security effects of different permission settings. Managing SELinux security Use SELinux to manage access to files and interpret and troubleshoot SELinux security effects. Monitoring and managing Linux processes Monitor and control processes running on the system. Installing and updating software packages Download, install, update, and manage software packages from Red Hat and yum package repositories. Controlling services and daemons Control and monitor network services and system daemons using systemd. Managing Red Hat Enterprise Linux networking Configure basic IPv4 networking on Red Hat Enterprise Linux systems. Analyzing and storing logs Locate and interpret relevant system log files for troubleshooting purposes. Managing storage and file systems Create and use disk partitions, logical volumes, file systems, and swap spaces. Scheduling system tasks Schedule recurring system tasks using cron and systemd timer units. Mounting network file systems Mount network file system (NFS) exports and server message block (SMB) shares from network file servers. Limiting network communication with firewalld Configure a basic local firewall. Additional course details: Nexus Humans Enterprise Linux System Admin Fast Track with Exam Prep 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 Enterprise Linux System Admin Fast Track with Exam Prep course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Duration 5 Days 30 CPD hours This course is intended for This basic course is for IT personnel with a theoretical background of z/OS. Overview Review the main concepts of z/OS Log on to TSO and start ISPF/PDF Navigate through ISPF/PDF dialogs and use the basic ISPF/PDF functions and the ISPF Editor Use ISPF/PDF to allocate data sets and edit data sets (including hierarchical file system (HFS) files) via the ISPF Editor primary and line commands Use ISPF to create and manipulate (copy, rename, delete, list, sort and merge) data sets Identify security considerations for Multiple Virtual Storage (MVS) data sets and HFS files Describe and use TSO/E commands Perform simple modifications to existing ISPF/PDF panels Invoke a REXX exec and TSO CLIST Tailor existing JCL and submit batch jobs Review job status and job output using SDSF Invoke UNIX processes Manipulate HFS directories and file systems using the UNIX System Services ISHELL This course is designed to teach students the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, TSO/E commands, JCL, UNIX System Services shell, and BookManager. Review of the z/Architecture and z/OS An Introduction to ISPF, ISPF/PDF, and RACF System familiarization Working with ISPF/PDF (Part 1 & 2) Allocate new data sets ISPF editor primary commands ISPF editor line command Copy/move/rename/delete data sets and members Data set lists Working with TSO/E Using TSO/E commands Working with JCL Submit a job JCL exercises Working with UNIX System Services Procedures ISHELL and hierarchical file system Additional course details: Nexus Humans ES10 IBM Fundamental System Skills in z/OS 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 ES10 IBM Fundamental System Skills in z/OS 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.