1273 Enterprise courses

This course will help you get a deeper understanding of Robotic Process Automation (RPA) with hands-on experience by helping you build your own automated robot using UiPath Studio.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Network administrators Network engineers Network managers System engineers Overview After taking this course, you should be able to: Describe the Cisco ThousandEyes solution and its high-level use cases Identify different types of ThousandEyes agents and supported tests Describe different Enterprise Agent deployment options, requirements, and procedures for agent deployment Describe different ThousandEyes test types Compare Thousand Eyes web layer tests Describe the role of an Endpoint Agent Deploy and Configure an Endpoint Agent Utilize ThousandEyes when performing the root cause analysis Discuss the challenges that ThousandEyes Internet Insights can address Describe the role and configuration of default and custom alerts Distinguish between usability of dashboards and reports Utilize ThousandEyes to monitor solutions end-to-end Describe how to perform system administration The Implementing and Troubleshooting Networks Using Cisco ThousandEyes (ENTEIT) v1.0 course is designed to introduce you to and familiarize you with Cisco© ThousandEyes. Through a combination of lectures and hands-on experience, you will learn to implement and configure the Cisco ThousandEyes solution. You will also learn to install and configure the Cisco ThousandEyes agents with different test types. This solution will also enable you to perform root cause analysis when troubleshooting. Course Outline Introducing Cisco ThousandEyes Introducing Cisco ThousandEyes Agents and Tests Deploying Enterprise Agents Describing ThousandEyes Routing, Network DNS, and Voice Tests Describing Cisco ThousandEyes Web Tests Introducing Endpoint Agents Deploying Endpoint Agents Troubleshooting with Cisco ThousandEyes Using Internet Insights Configuring Alerts Customizing Dashboards and Reports Monitoring Solutions Administrating the System

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Design Sinking: How to Fail at Design Thinking - and How to Do It Better Design Thinking is ubiquitous these days. From developing new payment processes for car parks to optimizing the patient experience in public hospitals, from designing blockchain scenarios for savings banks to improving the employee experience at tech start-ups, from building intrapreneurial ventures for mobility providers to designing business models for aircraft parts logistics, from large-scale digital transformation campaigns on enterprise level to designing whole strategies of start-ups, SMEs and major corporations alike... Looking back to the last years as an innovation consultant and facilitator, the list could go on and on. Browsing all those cases one might easily get the impression that Design Thinking is some kind of 'magic wand' to just do it all - better, faster, cheaper and of course instantly ready for implementation, with a 100% guaranteed success rate. Germans would call it a 'Eierlegende Wollmilchsau' (engl. fig. 'egg laying wool-milk-pig'). Of course, it is not. Nevertheless, it has undoubtedly proven to be a highly important tool to master the transformations we're facing on so many levels.

Back to the Future: Business Transformation and the Future of Work Through RPA Robotics Process Automation (RPA) is a major disrupting technology. 62% of CEOs expect this technology to completely disrupt their business within the next 5 years, according to a PwC CEO Survey. The concept of 'Digital Labor' is seeping into the lexicon of executive business speech as they look to adapt their operating models to automate a broad spectrum of business processes on demand. As RPA 'BOTS' mimic the actions of humans, it follows that there will be displacement of human workers as a result. Therefore, with the increased adoption and criticality of the new processes with BOTS, there is a great imperative to develop and deploy robots that exceed the level of productivity and quality as humans are replace. This presentation will focus on the current state of the market and the impact of RPA on business operation, workforce development, quality and compliance imperatives. Forward-thinking companies need to understand this disruptive technology and how it will impact today's workforce. The presentation will explore how companies can unlock the full potential of automation using robotic process automation throughout the enterprise. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.

Back to the Future: Business Transformation and the Future of Work Through RPA Robotics Process Automation (RPA) is a major disrupting technology. 62% of CEOs expect this technology to completely disrupt their business within the next 5 years, according to a PwC CEO Survey. The concept of 'Digital Labor' is seeping into the lexicon of executive business speech as they look to adapt their operating models to automate a broad spectrum of business processes on demand. As RPA 'BOTS' mimic the actions of humans, it follows that there will be displacement of human workers as a result. Therefore, with the increased adoption and criticality of the new processes with BOTS, there is a great imperative to develop and deploy robots that exceed the level of productivity and quality as humans are replace. This presentation will focus on the current state of the market and the impact of RPA on business operation, workforce development, quality and compliance imperatives. Forward-thinking companies need to understand this disruptive technology and how it will impact today's workforce. The presentation will explore how companies can unlock the full potential of automation using robotic process automation throughout the enterprise. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.

The Risk Management course is designed to provide learners with in-depth knowledge of the financial risks that organisations face and how to mitigate them. It includes a comprehensive overview of how financial risk arises and the risk management process, ideal for business owners and anyone looking to develop expert competency in this field.  Through instructor-led guidance, you will learn how to implement a secure risk management plan for your organisation, developing the core skills needed to identify, analyse, evaluate, monitor and treat different types of financial risk. You will become an expert in measuring the effectiveness of continuous improvement to ensure the standards and best practices are upheld. What's more, you'll have the expertise to minimise threats and maximise opportunities that will see your company thrive. This course is Quality Licence Scheme endorsed, providing you with up-to-date strategies and information ideal for anyone looking to take their career to the next level. Learning Outcomes: Have an excellent understanding of how financial risk arises Understand the concepts, objectives and standards of risk management Learn the fundamental steps involved in the risk management process Familiarise with the different classifications and types of financial risk Know exactly how risk management benefits and protects an organisation Identify the key components of enterprise risk management (ERM) Become an expert in identifying, analysing, evaluating, monitoring and treating risk Know how to measure the effectiveness of continuous improvement Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? This risk management training course is ideal for business owners and anyone looking to establish a career in this field. There are no specific entry requirements for this course, which is open to both part-time and full-time learners. Study at your own pace, in your own time, from any device with an internet connection. Career Path On successful completion, learners will have the practical skills and knowledge to identify, monitor and treat risk effectively, with the credentials to kickstart a career in any of the following professions:  Senior Risk Manager Project Manager Head of Risk & Compliance Head of Risk Course Content Module 1- Introduction to Risk Management Introduction to Risk Management 00:22:00 Module 2: Risk and Types of Risk Risk and Types of Risk 00:22:00 Module 3: Benefits of Risk Management Benefits of Risk Management 00:15:00 Module 4: Enterprise Risk Management Enterprise Risk Management 00:25:00 Module 5: Risk Management Process Risk Management Process 00:13:00 Module 6: Risk Analysis & Assessment Risk Analysis Assessment 00:30:00 Module 7: The Risk Evaluation Process The Risk Evaluation Process 00:34:00 Module 8: Managing Financial Risks Managing Financial Risks 00:33:00 Module 9 - The Fundamentals of Operational Risk Management The Fundamentals of Operational Risk Management 00:33:00 Module 10 - Managing Technology Risks Managing Technology Risks 00:21:00 Module 11: Managing Legal & Political Risk Managing Legal Political Risk 00:25:00 Module 12 - Environmental Risk Assessment Environmental Risk Assessment 00:28:00 Module 13 - Risk Assessment at Workplace Risk Assessment at Workplace 00:17:00 Module 14: Market & Social Risk Assessment Market Social Risk Assessment 00:38:00 Module 15 - Preparing Risk Management Plan: Step by Step Preparing Risk Management Plan Step by Step 00:24:00 Assignment Assignment - Risk Management Advanced Diploma 4 weeks Order your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Agile's Easy, The Adoption of Agile Isn't Agile's easy, but the adoption of Agile isn't! Having spent 20 years at the front line of Agile adoptions, spanning organisations ranging from small to Enterprise in both the Private and Public sectors, this presentation will highlight some best practices for Agile adoption, including: the importance of understanding the organizational and cultural landscape, how to avoid the common bear traps and how to lay the foundations for a sustainable adoption. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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

Learn the advanced concepts of the Laravel and Vue.js frameworks and build a complete real-world project