6443 Courses in Pyle delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies. Developers that deliver content from SQL Server databases will also benefit from this material. Overview After completing this course, you will be able to: Describe key database concepts in the context of SQL Server Describe database languages used in SQL Server Describe data modelling techniques Describe normalization and denormalization techniques Describe relationship types and effects in database design Describe the effects of database design on performance Describe commonly used database objects This course is provided as an introductory class for anyone getting started with databases. It will be useful to programmers and other IT professionals whose job roles are expanding into database management. Students will learn fundamental database concepts through demonstrations and hands-on labs on a SQL Server instance. This material updates and replaces course Microsoft course 10985 which was previously published under the same title. Module 1: Introduction to databases Introduction to Relational Databases Other Databases and Storage Data Analysis SQL Server Database Languages Module 2: Data Modeling Data Modelling Designing a Database Relationship Modeling Module 3: Normalization Fundamentals of Normalization Normal Form Denormalization Module 4: Relationships Introduction to Relationships Planning Referential Integrity Module 5: Performance Indexing Query Performance Concurrency Module 6: Database Objects Tables Views Stored Procedures, Triggers and Functions

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence 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 55232 Writing Analytical Queries for Business Intelligence 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.

Would you like to get up to speed on the key debates on telecoms regulation or refresh your understanding of the broader range of regulatory issues? Thanks to our online Telecoms Masterclass, you will understand all you need to know about telecoms regulation in the EU and other regions when applicable and relevant.

As a parent of a neurodivergent child, your primary focus will be on caring for them and making sure the right support is in place for their additional needs. How often do you think about your own mental health and wellbeing? When you create time to look after yourself you’ll have more energy to look after your child. Which is why I created an offer especially for you to help you feel more connected to yourself and give yourself the love and kindness that you pour outwards towards your child.  Imagine if... You felt more present within yourself and with your child(ren) You were more patient with your child(ren) You become more intentional with how you use your time. You felt calmer and have a happier family life. You had an increase in energy. Over 4 months, you’ll feel a transformative shift in your mind and body as you release stress and exhaustion. Let go of feeling burnt out and overwhelmed and discover a calmer mental space.  Bonuses Lifetime access to The Mindful Reconnect for ASN Parents Value - £260 Continue your mindfulness journey with my 8 week self-paced mindfulness course. This course was designed to help parents, to a child with additional support needs, reconnect to their wellbeing. You'll have access to the course content and have the opportunity to join the private group Telegram chat with other parents. Lifetime access to Self-Care Bundle Value - £97 Explore how you can start treating yourself with more kindness and compassion on your neurodivergent parenting journey. You'll receive lifetime access to dip in and out of the activities whenever suits you.

Plasma pen fibroblast training for the face and body including soft surgery. Train one to one or very small groups. International accreditation. Lifelong support. Train with Carol May LMA Skin Clinic. On completion you will be able to offer your clients: Wrinkle rejuvenation & face lifting Hooded eyes & eye bags Glabella lines Nasal labia Marionette lines Neck lines Stretch marks & scar repair Mole removal Skin tags Cherry angioma Thread veins Xanthelasma Seborrheic keratosis plus many more soft surgery options You will benefit from online pre study plus in-clinic training and ongoing support Models can be provided if required You will receive a genuine medical grade plasma device (not electrical arcing) Total price is £2400 Your training fee can be paid in installments with Klarna We welcome national and International students

About this Virtual Instructor Led Training (VILT)  Electrical machines, mainly power transformers and electric motors are critical equipment that run production, and it must operate without any abnormalities. A wide variety of tests and standards have been developed to assist manufacturers and users of motors and transformer winding, assess the condition of the electrical insulation. The objective of this training course is to provide an understanding of power transformers and electric motors, their materials, components, and how they operate. It will also emphasize the importance of transformer life management, especially for those transformers and electric motors which have been in operation for than 10 years. The course will address in detail all aspects related to transformer principles, calculations, operation, testing and maintenance. Training Objectives This course aims to provide participants with the understanding of the fundamentals and constructional features of power transformers and electric motors, with particular reference to the design, testing, operation and maintenance of transformers in power systems. Delegates will gain a detailed appreciation of the following: Practical solutions for specifying, operating and maintaining power transformers and electric motors in a utility or plant environment Comprehensive understanding of principles, protection, maintenance and troubleshooting of power transformers and electric motors The necessary safe procedures relating to transformer operation and related circuitry Understand the principles of operation of the transformer and electric motors Identify the different features of power transformers and electric motors Appreciate the principles of transformer design, ratings, winding, core structure and materials, insulation and cooling methods, insulation and lifetime Utilize thermal limits and loading guides of transformers Analyze transformer and electric motors failure modes Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, with 1 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Our key expert is actively involved in electrical inspections, energy audits, energy efficiency and technical consultation for M&E activities for industrial and commercial sectors. He is involved in testing and commissioning works of factory substations of up to 132kV system. He previously worked for Jimah coal-fired power plant in Port Dickson for 9 years with his last position being Electrical Maintenance Section Head. He was involved in the commissioning of coal-fired power plant mainly with 500kV generator transformer, 934 MVA generator, and up to 33kV MV motors and switchgear panels. Our key expert has managed the maintenance team to perform routine maintenance activities (together with supporting tools such as motor lube oil analysis, infrared thermography analysis, transformer oil analysis) & electrical troubleshooting and plant outages for critical and non-critical equipment. Besides that, our key expert has published several IEEE conference papers and journals such as: (2009). Effectiveness of auxiliary system monitoring & continuous hydrogen scavenging operation on hydrogen-cooled generator at power plant. In Energy and Environment, 2009. ICEE 2009. 3rd International Conference on (pp. 151-160). IEEE. (2010). Study on electric motor mass unbalance based on vibration monitoring analysis technique. In Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on (pp. 539-542). IEEE. (2012). Re-Design of AC Excitation Busduct based on Infrared (IR) Thermography: Condition-Based Monitoring (CBM) data analysis. eMaintenance, 101. (2016). Energy Saving Studies for a University Campus: An Educational-Based Approach, 3rd International Conference on Language, Education, Humanities and Innovation 2016. 'Grid-tied photovoltaic and battery storage systems with Malaysian electrcity tariff - A review on maximum demand shaving.' Energies 10.11 (2017): 1884 'Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia.' Energies 12.18 (2019): 3531 POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

ICA Advanced Certificate in Business Compliance The ICA Advanced Certificate in Business Compliance has been specifically designed for those working outside financial services. The need for guidance and training in meeting regulatory requirements extends to many industry sectors including oil and gas, aerospace, pharmaceuticals, telecoms, and manufacturing. This course will enable practitioners working in areas such as these to gain knowledge of the essentials of compliance in a practical business context as well as understand the roles of both the compliance function and compliance professionals. The Advanced Certificate will develop the compliance/risk management knowledge and skills of individuals and thereby help to enhance the overall reputation and performance of their firms. Benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Upon successful completion of this course, students will be awarded the ICA Advanced Certificate in Business Compliance and will be able to use the designation - Adv.Cert(Bus.Comp). This qualification is awarded in association with Alliance Manchester Business School, the University of Manchester. What will you learn? The context of compliance and its origins Building an effective control framework The skills needed to be an effective compliance professional Risk management, alert systems and investigations Managing financial crime risk Creating competitive advantage How will you be assessed? Assessed by a one-hour, question-based exam and one research-based assignment

ICA Advanced Certificate in Managing Fraud This intermediate-level course is aimed at those already working within fraud risk management who wish to enhance their knowledge and skills as well as those who are new to the discipline. It provides a comprehensive understanding of fraud threats, how to formulate an effective strategy to prevent these threats and how to manage the response when they occur. You will learn how to implement key fraud management strategies at your firm to manage the risk to your business. The course also explores international fraud management best practice and anti-fraud frameworks. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Students who successfully complete this course will be awarded the ICA Advanced Certificate in Managing Fraud and will be able to use the designation- Adv.Cert(Fraud) This qualification is awarded in association with Alliance Manchester Business School, the University of Manchester. What will you learn? International context Global anti-fraud frameworks Understanding risks The 'Fraudster' Formulating an effective counter-fraud strategy Managing the response to fraud The future of fraud How will you be assessed? Assessed by a one-hour, question-based exam and one research-based assignment

Five half-day Leadership modules with mini work placed projects to bring the learning into action in the workplace.