18686 Basic courses in Edinburgh delivered Online

Learn Project Benefits Management Step-by-Step A comprehensive process that covers every stage of Project and Program Benefits Management

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Renewable Energy Introduction 00:03:00 Current status and trends 00:13:00 solar energy 00:12:00 Wind energy 00:11:00 Bioenergy 00:10:00 Geothermal energy 00:08:00 Hydro Energy 00:09:00 Assessment Assessment - Renewable Energy Basics 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Build next-gen programming skills using RxJava 3.0 and Reactive Streams

Gain an in-depth understanding of how AJAX allows you to update information on your web app dynamically, without a page refresh and facilitates all-important streaming with the help of this course. A fine addition to your skill set, both smart and powerful. By completing this course, you will begin to see how powerful AJAX is and how essential it is today.

The 'golden rule' of negotiation is simple - don't! But life's rarely that simple and very often we do have to negotiate, particularly if we want to win the business and especially if we want to win it on our terms. Such negotiations are crucial. We need to prepare for them. We need a strategy, and the skills to execute it. Does your team have a structured approach? Is it flawlessly executed, every time? Or is there room for improvement? This programme will help them master the six fundamentals of closing better business: Manage all these elements well and you will win more business, more profitably. This course will help participants: Negotiate from a position of partnership, not competition Deal more effectively and profitably with price objections Identify and practise successful sales negotiating skills Identify strengths and weaknesses as a sales negotiator Understand different types of buyer behaviour Learn to recognise negotiating tactics and stances Apply a new and proven structure to their business negotiations Identify and adapt for different behavioural styles Be alert to unconscious (non-verbal) communication Prepare and present a proposal at a final business negotiation stage Project confidence and exercise assertiveness in all sales negotiations 1 Planning for successful business negotiations This session introduces the concept of business negotiation and looks at its importance in the context of the participants' roles and activities. It briefly examines why we negotiate and the dynamics involved. Session highlights: What kind of a negotiator are you? Negotiation skills self-assessment and best practice How to establish roles and responsibilities for both parties How to identify and set objectives for both buyer and seller How to research and establish the other person's position (business negotiation stance) 2 How to structure your negotiations This module presents an eight-step framework or structure for use in negotiations and considers how best to prepare and plan your negotiations within the context of a supplier/customer relationship or business cycle. It also includes a brief review of legal responsibilities and what constitutes a 'deal'. Session highlights: Learn and apply a formal structure to use when negotiating How to establish short- and longer-term objectives and opportunities How best to plan, prepare and co-ordinate a major business negotiation meeting, or on-going negotiations Understanding of basic legal and organisational requirements 3 Verbal negotiation skills This session examines the human and communication dynamics inherent in any negotiation situation. It emphasises the importance of professional skills in preparing for a negotiation by identifying needs, wants and requirements accurately and by qualifying the competitive and organisational influences present. Session highlights: How to fully 'qualify' the other party's needs, requirements and constraints during the negotiation process by using advanced questioning and listening skills How to pre-empt negotiation objections by promoting and gaining commitment to options, benefits, value and solutions How best to propose and suggest ideas, using drawing-out skills 4 Non-verbal negotiation skills This module highlights how different personal styles, corporate cultures and organisation positions can influence events, and demonstrates practical methods for dealing with and controlling these factors. It also examines key principles of body language and non-verbal communication in a practical way. Session highlights: Gaining rapport and influencing unconsciously Understanding the importance of non-verbal communication; reading other people's meaning and communicating effectively as a result Ensure that non-verbal behaviour is fully utilised and observed to create maximum impact and monitor progress (eg, buying signals) Recognising that business negotiations are precisely structured and agreements gained incrementally 5 Proposing and 'packaging' This session highlights how best to present and package your proposal. It looks at how to pre-empt the need for negotiating by creating minor-options and 'bargaining' points, as well as how to manage the expectations and perceptions of the customer or buyer. Session highlights: How to identify the key variables that can be negotiated The power and use of 'authority' within your negotiations How to structure and present your proposal, ideas or quotation to best effect The importance of when and how to identify and influence buyer's objections 6 Dealing with price This module highlights how to best present and package price within your proposal or negotiation. In most cases, price has more to do with psychology than affordability and preparation and careful handling are essential. Session highlights: The three reasons that people will pay your asking price How to set price in a competitive market The key differences between selling and negotiating Ten ways to present price more effectively and persuasively 7 Getting to 'Yes': tactics and strategies There are many different tactics and strategies common to successful negotiators. This session looks at those that are most appropriate to the participants' own personal styles and situations. The importance of 'follow-through' is also explained and how to deal with protracted or 'stale-mate' business negotiations. Session highlights: How to negotiate price and reduce discounting early in the process How to recognise negotiating tactics and strategies in your customer or supplier Key strategies, techniques and tactics to use in negotiation The importance of follow-through and watching the details How to deal with stalled business negotiations or competitor 'lock-out' 8 Case studies and review This session examines a number of different situations and participants discuss ways to approach each. This will allow learning to be consolidated and applied in a very practical way. There will also be a chance to have individual points raised in a question and answer session. Session highlights: Case studies Question and answer Planning worksheet Negotiation 'toolkit' and check-list 9 Personal action plans Session highlights: Identify the most important personal learning points from the programme Highlight specific actions and goals Flag topics for future personal development and improvement

Data Science with Python bundle course teaches you everything on the Data Science with Python topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life. This Data Science with Python bundle course is a comprehensive course designed to provide a detailed understanding of the nature of the Data Science with Python related sector and your key roles within it.The training materials of this Data Science with Python course are available online for you to learn at your own pace and fast-track your career with ease. Key Features of Data Science with Python Bundle CPD Accredited Data Science with Python Course Instant PDF certificate Fully online, interactive Data Science with Pythoncourse Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Enrol now in this Data Science with Python Bundle course to excel! To become successful in your profession, you must have a specific set of Data Science with Python skills to succeed in today's competitive world. In this in-depth Data Science with Pythontraining course, you will develop the most in-demand Data Science with Python skills to kickstart your career, as well as upgrade your existing knowledge & skills. Data Science with Python Curriculum Course 01: Data Analytics Course 02: Python Programming: Beginner To Expert Course 03: Complete Java Course 04: Machine Learning Basics Accreditation This Data Science with Python bundle courses are CPD accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Data Science with Python course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Science with Python basics. Requirements No prior degree or experience is required to enrol in this course. Career path This Data Science with Python Course will help you to explore avariety of career paths in the related industry. Certificates Digital certificate Digital certificate - Included Hardcopy Certificate Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10.

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs with basic Oracle 19c skills. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs andexercises. Working in a hands-on learning environment led by our expert facilitator, students will explore: Creating CDBs and Regular PDBs Managing CDBs and PDBs Backup and Duplicate Upgrading and Transporting CDBs and Regular PDBs Backup Strategies and Terminology Restore and Recovery Concepts Using Flashback Technologies Duplicating a Database Installing Grid Infrastructure and Oracle Database Patching Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Using General Overall Database Enhancements Monitoring and Tuning Database Performance Managing Application PDBs Managing Security in Multitenant databases Recovery and Flashback Configuring and Using RMAN Diagnosing Failures Performing Recovery Transporting Data RMAN Troubleshooting and Tuning Creating an Oracle Database by using DBCA Oracle Restart Upgrading the Oracle Database Installing Grid Infrastructure for a Standalone server Using Availability Enhancements Tuning SQL Statements Geared for participants experienced with Oracle 19c DBA essentials Oracle 19c Database Administration II (Oracle DBA II) expands their understanding of Oracle database administration. Throughout the course students will explore coverage of Multitenant (CDB/PDB), database tuning, SQL tuning, and backup and recovery: the skills needed to keep a database running reliably and efficiently. The current release of the database is used for exercises and demonstrations, and the content back-ported as necessary for previous releases. Creating CDBs and Regular PDBs Configure and create a CDB Create a new PDB from the CDB seed Explore the structure of PDBs Manage CDBs and PDBs Manage PDB service names and connections Manage startup, shutdown and availability of CDBs and PDBs Change the different modes and settings of PDBs Evaluate the impact of parameter value changes Performance management in CDBs and PDBs Control CDB and PDB resource usage with the Oracle Resource Manager Backup and Duplicate Perform Backup and Recover CDBs and PDBs Duplicate an active PDB Duplicate a Database Upgrading and Transporting CDBs and Regular PDBs Upgrade an Oracle Database Transport Data Backup Strategies and Terminology Perform Full and Incremental Backups and Recoveries Compress and Encrypt RMAN Backups Use a media manager Create multi-section backups of exceptionally large files Create duplexed backup sets Create archival backups Backup of recovery files Backup non database files Back up ASM meta data Restore and Recovery Concepts Employ the best Oracle Database recovery technology for your failure situation Describe and use Recovery technology for Crash, Complete, and Point-in-time recovery Using Flashback Technologies Configure your Database to support Flashback Perform flashback operations Duplicating a Database Duplicate Databases Install Grid Infrastructure and Oracle Database Install Grid Infrastructure for a Standalone server Install Oracle Database software Patching Grid Infrastructure and Oracle Database Patch Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Upgrade Oracle Grid Infrastructure Using General Overall Database Enhancements Install Oracle Database software Create, Delete and Configure Databases using DBCA Creating CDBs and Regular PDBs Use Miscellaneous 19c New Features Monitoring and Tuning Database Performance Managing Memory Components Understanding the Automatic Workload Repository (AWR) Understanding the Advisory Framework Monitoring Wait Events, Sessions, and Services Managing Metric Thresholds and Alerts Understanding and Using the Performance Tuning Methodology Performing Performance Planning Understanding the Automatic Database Diagnostic Monitor (ADDM) Manage Application PDBs Explain the purpose of application root and application seed Define and create application PDBs Install, upgrade and Patch applications Create and administer Application PDBS Clone PDBs and Application containers Plug and unplug operations with PDBs and application containers Comparing Local Undo Mode and Shared Undo Mode Manage Security in Multitenant databases Manage Security in Multitenant databases Manage PDB lockdown profiles Audit Users in CDBs and PDBs Manage other types of policies in application containers Recovery and Flashback Restore and Recovering Databases with RMAN Perform CDB and PDB flashback Configuring and Using RMAN Configure RMAN and the Database for Recoverability Configure and Using an RMAN recovery catalog Diagnosing Failures Detect and repair database and database block corruption Diagnosing Database Issues Performing Recovery Restore and Recovering Databases with RMAN Perform Non RMAN database recovery Transporting Data Transport Data RMAN Troubleshooting and Tuning Interpret the RMAN message output Diagnose RMAN performance issues Creating an Oracle Database by using DBCA Create, Delete and Configure Databases using DBCA Oracle Restart Configure and use Oracle Restart to manage components Upgrade the Oracle Database Plan for Upgrading an Oracle Database Upgrade an Oracle Database Perform Post-Upgrade tasks Install Grid Infrastructure for a Standalone server Rapid Home Provisioning Using Availability Enhancements Use an RMAN recovery catalog Use Flashback Database Tuning SQL Statements Understanding the Oracle Optimizer Using the SQL Tuning Advisor Managing Optimizer Statistics Using the SQL Access Advisor Understanding the SQL Tuning Process Additional course details: Nexus Humans Oracle 19c Database Administration II (DBA II) (TTOR20619) 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 19c Database Administration II (DBA II) (TTOR20619) 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.

Build a strong foundation in intermediate Android development to leverage what you already know about Android. If you are looking for a course that takes your pre-existing Android knowledge to the next level, then this is definitely the course for you. We'll take you through all you need to know in order to become an intermediate to advanced Android developer.

This course is designed for beginners or anyone who wants to get started with Python-based face recognition. In this course, you will learn how to perform face detection from images, face detection from real-time videos, emotion detection, age-gender prediction, face recognition from images and real-time videos, and more!

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