2958 Development courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Application DevelopersBusiness AnalystsBusiness Intelligence DeveloperData ModelersData Warehouse AdministratorData Warehouse AnalystReports DeveloperTechnical Consultant Overview Build and run analyses to test and validate a repositorySet up query logging for testing and debuggingSet up a multiuser development environmentUse the Administration Tool wizards and utilities to manage, maintain, and enhance repositoriesEnable usage tracking to track queries and database usage, and improve query performancePerform a patch merge in a development-to-production scenarioDescribe Exalytics machine and the Summary Advisor tool used in the machineBuild simple and calculated measures for a fact tableCreate logical dimension hierarchies and level-based measuresCheck the model and then model aggregate tables to speed query processingModel partitions and fragments to improve application performance and usabilityUse variables to streamline administrative tasks and modify metadata content dynamicallyUse time series functions to support historical time comparison analysesSet up security to authenticate users and assign appropriate permissions and privilegesBuild the Physical, Business Model and Mapping, and Presentation layers of a repositoryApply cache management techniques to maintain and enhance query performance This Oracle BI 11g R1: Build Repositories training is based on OBI EE release 11.1.1.7. Expert Oracle University instructors will teach you step-by-step procedures for building and verifying the three layers of an Oracle BI repository. This Oracle BI 11g R1: Build Repositories training is based on OBI EE release 11.1.1.7. Expert Oracle University instructors will teach you step-by-step procedures for building and verifying the three layers of an Oracle BI repository. Additional course details: Nexus Humans Oracle BI 11g R1 - Build Repositories 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 Oracle BI 11g R1 - Build Repositories 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.

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Course Overview The Dog Behaviour and Training course offers a comprehensive insight into canine psychology, behaviour management, and effective training techniques. Designed to build confidence and understanding, this course equips learners with the knowledge needed to address common dog behaviours and establish positive habits. Through focused modules, participants will develop skills in interpreting dog body language, managing feeding behaviours, addressing separation anxiety, and conducting training consultations. Whether supporting pet owners or advancing towards a professional role, learners will emerge with the ability to apply behavioural theories and strategies in real-world settings. By the end of the course, participants will understand how to create positive environments for dogs and promote lasting behavioural change, making them valuable assets in both domestic and professional contexts. Course Description The Dog Behaviour and Training course delves into the fascinating world of canine behaviour, offering learners a structured exploration of topics such as food aggression, appropriate greeting methods, and separation anxiety management. Learners will gain insights into interpreting dog communication signals, answering common client questions, and guiding puppy development. The course also covers consultation practices, preparing participants to engage confidently with dog owners seeking advice. Designed to foster a deep understanding of behavioural patterns, the curriculum blends theoretical frameworks with real-world applications, ensuring that learners develop a well-rounded skill set. By completing this course, individuals will strengthen their ability to assess behavioural issues, recommend appropriate training strategies, and support the welfare and development of dogs across various settings. Course Modules Module 01: Introduction Module 02: Feeding Time - Aggression and Stealing Food Module 03: The Right Way to Greet a Dog Module 04: Separation Anxiety Module 05: Dog Language - What They're Really Saying! Module 06: The Answers To 10 Popular Dog Questions You Are Likely To Be Asked Module 07: The Answers To 10 Common Puppy Training Questions That You'll Likely To Be Asked Module 08: Dog Training Consultations With Clients (See full curriculum) Who is this course for? Individuals seeking to build a deeper understanding of dog behaviour and training techniques. Professionals aiming to expand their expertise in animal behaviour consultancy or dog training services. Beginners with an interest in canine psychology and behaviour management. Dog owners wishing to enhance their relationships and communication with their pets. Animal care workers looking to broaden their knowledge for career development. Career Path Dog Behaviour Specialist Dog Trainer Animal Welfare Officer Veterinary Assistant (Behaviour Support Role) Pet Care Consultant Animal Shelter Worker Behavioural Advisor in Animal Charities

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Course Overview The Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course provides a comprehensive exploration of the theories, principles, and application of CBT. This course equips learners with the knowledge to understand the intricate relationship between thoughts, emotions, and behaviours, enabling them to foster positive change in various contexts. Designed for both aspiring practitioners and those seeking personal development, the course offers valuable techniques to address common psychological challenges, including anxiety, depression, and stress. Through structured learning modules, participants will develop a solid understanding of CBT frameworks and how they can be effectively implemented across different settings. By the end of the course, learners will have enhanced their critical thinking, problem-solving, and client support abilities, positioning them for greater confidence in professional or personal environments. Whether you are seeking to enhance your career prospects or enrich your own well-being, this course provides a rewarding foundation in the core methodologies of CBT. Course Description This professionally structured Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course delves into the foundational theories of CBT, practical strategies for cognitive restructuring, and the step-by-step CBT process. Learners will gain insights into using CBT techniques for personal growth, managing anxiety and depression, and supporting children with autism. The course offers a balanced learning experience with theoretical frameworks and real-world application models to reinforce knowledge retention. Each module is carefully designed to build progressively, ensuring learners acquire critical analytical skills, emotional intelligence, and a strong ethical understanding of client-centred practice. Participants will be able to recognise cognitive distortions, design effective intervention plans, and support behavioural change with structured methods. With its inclusive approach, the course is ideal for those pursuing a foundation in mental health support or simply looking to apply CBT principles to everyday challenges. Successful completion will strengthen learners’ ability to contribute positively within therapeutic, educational, or care settings. Course Modules Module 01: Introduction to CBT Module 02: CBT Theories and Principles Module 03: CBT Tools and Strategies Module 04: CBT Process Module 05: CBT for Personal Growth Module 06: Overcoming Anxiety and Depression Module 07: CBT for Children with Autism (See full curriculum) Who is this course for? Individuals seeking to develop a strong understanding of cognitive behavioural therapy. Professionals aiming to enhance their therapeutic or client support capabilities. Beginners with an interest in mental health and behavioural sciences. Life coaches, educators, and support workers wishing to expand their skill set. Anyone looking to apply CBT principles for personal development and emotional resilience. Career Path Cognitive Behavioural Therapy Practitioner Mental Health Support Worker Life Coach or Personal Development Coach Behavioural Support Specialist Educational Support Assistant Youth and Community Worker Well-being Consultant Counselling Assistant

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts. Overview This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert instructor, you'll learn how to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Work with with the standard library and its work-saving modules Create 'real-world', professional Python applications Know when to use collections such as lists, dictionaries, and sets Work with Pythonic features such as comprehensions and iterators Write robust code using exception handling Introduction to Python Programming Basics is a hands-on Python programming course that teaches you the key skills you?ll need to get started with programming in Python to a solid foundational level. The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides you with an excellent kick start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways. You?ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science / machine learning or Python for systems admin or networking support. Python Quick View What is Python? Python timeline Advantages/disadvantages Installing Python Getting help The Python Environment Starting Python Using the interpreter Running a Python script Editors and IDEs Getting Started with Python Using variables Builtin functions String data Numberic data Converting types Console input/output Command line parameters Flow Control About flow control The if statement Relational and Boolean operators while loops Exiting from loops Array Types About array types Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions and generators Working with Files File overview Opening a text file Reading a text file Writing to a text file Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Returning values Parameters and arguments Variable scope Sorting The sorted() function Custom sort keys Lambda functions Sorting in reverse Using min() and max() Errors and Exception Handling Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Using packages Function and module aliases Getting Started with Object Oriented Programming and Classes About object-oriented programming Defining classes Constructors Understanding self Properties Instance Methods and data Class methods and data Inheritance Additional course details: Nexus Humans Introduction to Python Programming Basics (TTPS4800) 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 Introduction to Python Programming Basics (TTPS4800) 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 Application Consultant Business Process Architect Business Process Owner / Team Lead / Power User Developer Development Consultant Enterprise Architect Solution Architect System Architect Technology Consultant Overview This course will prepare you to: Get an overview about the workflow functions and functionality in SAP S/4HANA, S/4HANA Cloud and SAP Cloud Platform Explain the possible extensions of workflows in these technologies You want to learn about the workflow functionality in S/4HANA, S/4HANA Cloud and SAP Cloud Platform? This course provides a business overview of processes, which are working 'right out-of-the box'. It explains possible extensions and comes with several exercises to deepen the theoretical lessons. Introduction Explain workflow @SAP and in SAP S/4HANA Use SAP Fiori My Inbox App, Setup and Configuration Explain the installation and set up of the My Inbox app Access the My Inbox app Add a BWF system as a task provider Add a SAP BPM system as a task provider Use roles for SAP Fiori Define the gateway scenario and catalogs Use the task gateway service Perform further settings Implement BADIs Create dynamic columns for SWF_USER_ATTR Create push notifications for the SAP Fiori Launchpad Flexible Workflow Explain Flexible Workflow Use a Workflow Scenario Explain SAP S/4HANA Cloud workflow Responsibility Management SAP Cloud Platform Workflow Service Use SAP Cloud Platform Workflow for workflow application development Strategy Recommendations and Migration Options Discuss strategy recommendations for enterprise workflow with SAP Discuss migration options for existing workflows Additional course details: Nexus Humans BIT602 SAP Workflow with SAP Fiori 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 BIT602 SAP Workflow with SAP Fiori 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.

Learn everything you need to know to be fully competent with Mac iOS. This syllabus takes you around the basics and then on another deep dive into all the elements. Discover things you never knew and speed up your experience using Mac iOS. Module 1: Introduction to Mac iOS and Hardware • Understanding the Mac ecosystem • Overview of Mac hardware components • Navigating the Mac interface Module 2: Mac Operating System (macOS) • Exploring the macOS interface • Customizing system preferences • File management and organization on macOS Module 3: Essential Mac Apps • Using Safari for web browsing • Effective web searching using search engines • Email management with Apple Mail • Calendar and task management with Apple Calendar Module 4: Software Installation and Updates • Installing and updating software applications • Managing and uninstalling programs • App Store and app installations Module 5: Productivity and Collaboration • Using iCloud for cloud-based storage and collaboration • Working with Notes, Reminders, and Messages • Collaborative document editing with iWork Module 6: Multimedia and Creativity • Basic image editing with Photos and Preview • Music creation with GarageBand • Creating multimedia presentations with Keynote Module 7: Troubleshooting and Maintenance • Identifying and resolving common Mac issues • Using Activity Monitor for performance monitoring • Maintenance tasks for macOS Module 8: Mac Security and Privacy • Overview of Mac security features • Online safety and privacy best practices • Protecting personal data and devices Module 9: Advanced Mac Features • Customizing the Dock and Menu Bar • Using Siri for voice commands and search • Continuity features for seamless device integration Module 10: Using AI and Chat GPT • Introduction to AI and Chat GPT technology • Exploring AI-powered features on Mac • Using Chat GPT for productivity and assistance Module 11: Browsing and Search Engines • Effective use of web browsers on macOS • Utilizing search engines for research • Online safety and privacy while browsing Module 12: Cybersecurity • Understanding cybersecurity threats • Protecting against malware and phishing attacks • Secure online practices and password management Module 13: Software Installation and Factory Reset • Installing and updating software applications • Factory resetting a Mac device • Data backup and recovery during resets Module 14: Final Projects and Assessment • Culminating projects showcasing Mac iOS skills • Practical exams assessing Mac software knowledge and skills • Preparing for industry-recognized certifications (optional) Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for network and software engineers who hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Site reliability engineer Deployment engineer Sales engineer Account manager Overview After taking this course, you should be able to: Leverage the tools and APIs to automate Cisco ACI powered data centers. Demonstrate workflows (configuration, verification, healthchecking, monitoring) using Python, Ansible, and Postman. Leverage the various models and APIs of the Cisco Nexus OS platform to perform day 0 operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python. Describe the paradigm shift of Model Driven Telemetry and understand the building blocks of a working solution. Describe how the Cisco Data Center compute solutions can be managed and automated using API centric tooling, by using the Python SDK, PowerTool, and Ansible modules to implement various workflows on Cisco UCS, Cisco IMC, Cisco UCS Manager, Cisco UCS Director, and Cisco Intersight. The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course teaches you how to implement Cisco© Data Center automated solutions including programming concepts, orchestration, and automation tools. Through a combination of lessons and hands-on practice, you will manage the tools and learn the benefits of programmability and automation in the Cisco-powered Data Center. You will examine Cisco Application Centric Infrastructure (Cisco ACI©), Software-Defined Networking (SDN) for data center and cloud networks, Cisco Nexus© (Cisco NX-OS) platforms for device-centric automation, and Cisco Unified Computing System (Cisco UCS©) for Data Center compute. You will study their current ecosystem of Application Programming Interfaces (APIs), software development toolkits, and relevant workflows along with open industry standards, tools, and APIs, such as Python, Ansible, Git, JavaScript Object Notation (JSON), Yaml Ain't Markup Language (YAML), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Generation (YANG).This course prepares you for the 300-635 Automating Cisco Data Center Solutions (DCAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Data Center Solutions (DCAUI) because it provides crucial foundational knowledge essential to success. This course also earns you 24 Continuing Education (CE) credits towards recertification. Course Outline Describing the Cisco ACI Policy Model Describing the Cisco APIC REST API Using Python to Interact with the ACI REST API Using Ansible to Automate Cisco ACI Introducing Cisco NX-OS Programmability Describing Day-Zero Provisioning with Cisco NX-OS Implementing On-Box Programmability and Automation with Cisco NX-OS Implementing Off-Box Programmability and Automation with Cisco NX-OS Automating Cisco UCS Using Developer Tools Implementing Workflows Using Cisco UCS Director Describing Cisco DCNM Describing Cisco Intersight Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 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 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 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.

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