542 Courses

Operate machine effectively, understand industry risks, perform checks. Identify controls, handle underslung loads, and manage environmental impacts.

This 1/2 day course gives delegates a better understanding of safety and the assessment of risk.

Overview Internal auditing is an independent and objective activity to evaluate an organisation's internal operations. You'll learn how to initiate an audit, prepare and conduct audit activities, compile and distribute audit reports and complete follow-up activities. It is very important for the organisation to have a smooth flow of accounting as it plays a very important role in the development of the organisation. Financial Managers or any person who deals with Accounts need to see that the company accounts are very updated and are free from any risks that can become a problem during the time of Auditing.  Objectives   By the end of the course, participants will be able to: Efficiently dealing with senior leaders with confidence Effective Contribution and Strategically Analysing and Auditing towards business success Analysing and Evaluating as an effective internal audit leader How to manage key relationships with the audit committee Practical methods for managing the audit committee and senior management Describing the significance to help maximize the contribution to their organization

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

Some 60% of injuries at work are caused by lifting heavy objects. This powerful, practical programme is designed to help stop any of your staff from becoming the next statistic. 1 Introduction and objectives 2 Overview of Health and Safety Legislation and HSE Injury Statistics Health and Safety at Work Act 1974 Management of Health and Safety at Work Regulations (MHSWR) 1992 MHSWR 1999 specific duties to risk assess Manual Handling Operations Regulations (MHOR) 1992 Breakdown of injury statistics and costs of poor manual handling 3 The musculoskeletal system explained Prevention and ill-health Ergonomics RSI The spine in detail 4 Risk assessment General principles The TILE method Employees' duties Workplace scenarios

Carried out by qualified instructors, the Manual Handling Training course is designed to cover a number of Manual Handling topics. It will enable the candidate on completion to recognise a manual handling problem. It will give them the tools to be able to initiate a risk assessment and lift or carry in a safe manner. We can deliver these courses in-house or to gain Qualsafe certification. Fully Qualified and Highly Experienced Instructors. Half day course (2-3 Hours). Our courses include the following subject areas: The requirements of the Manual Handling Operations Regulations. The legal requirements to provide Manual Handling Training. Principles of good movement. The anatomy of the spine. Manual Handling related injuries. Mechanics of incorrect and correct manual handling techniques. Practical exercises. Principles of manual handling techniques will include: The task. The load. The working environment. The individual capability. Practical applications of lifting, pushing, pulling and carrying. Risk Assessment and its practical application. There is a Maximum of up to 20 Candidates per Manual Handling training course, however we can run two courses per day with one manual handling instructor. We also have more manual handling instructors available, if it is required. This means we can run courses simultaneously should the facilities be available to do so. The course information is based on the Manual Handling Operations Regulations 1992, amended 2002. It is also covered under the Health and Safety at Work Act 1974. At MHA Training we like to make our Manual Handling Training courses fun and use the best training aids available whilst also covering the serious points of the subject. MHA Training was established in 2008 based at our training centre in Warrington, Cheshire. We provide a wide range of services On-Site also for clients around the North West in areas such as Manchester, Liverpool, Widnes, St Helens, Runcorn, Wigan, Preston and Leeds. Over the years we have expanded and have instructors available for all of our courses Nationwide.

Working within Heath and Social Care settings often involves moving, lifting, or otherwise manually handling the people within your care. This moving and handling training course is designed to educate learners regarding both the requirements and risks associated with moving people safely. Learners will also participate in practical moving & positioning enabling competency sign-off.

Java Threads Course Duration: 1 Day Who would find this course useful? Java coders Level: Not quite basics level. It specifically concentrates on Threads Principles (Threads) in Java. Download: Download Java JDK and Eclipse IDE. For classroom courses: Bring your own device. Java Threads Course description General Threads Concepts Java Threads Course Description General Threads Concepts Multithreading Cycle of a Thread Create a Thread by Implementing a Runnable Interface Create a Thread by Extending a Thread Class Major thread operations Processes and Threads, Thread Objects Thread Methods getName, getId, setName, etc Pausing Execution with Sleep Interrupts, Joins Thread Priorities Thread Pools Executors, Executor Interfaces, Thread Pools, Fork/Join Synchronozation What is thread synchronization? Thread Interference, Memory Consistency Errors, Synchronized Methods, Lock Objects, Intrinsic Locks and Synchronization, Handling interthread communication, Handling thread deadlock, Liveness, Starvation and Livelock, Atomic Access. Concurrent Collections Guarded Blocks, Immutable Objects. Strategy for Defining Immutable Objects, High Level Concurrency Objects, Java Threads Course, 1 Day What is included PCWorkshops Course Certificate on completion Java Threads Course Notes Java Threads Code Examples Practical exercises, Java Course Revision work After the course: 1-Hour personalised online revision session About us Our experienced trainers are award winners. More about us FAQ's Client Comments

The BA (Hons) in Business Management with a Foundation Year, in collaboration with Leeds Trinity University, spans four years and is designed to empower students with the necessary academic skills and tools for confident study. Throughout the program, students engage in modules aimed at enhancing their academic abilities and gaining foundational knowledge in business operations and management principles, including insights into entrepreneurship and the basics of marketing.  Upon the successful completion of the Foundation Year, students seamlessly transition to the first year of the Business Management BA (Hons) degree. The curriculum delves into the intricacies of organizational structures and operational strategies, covering fundamental aspects of accounting, finance, marketing, and providing opportunities to explore international business concepts. Developed in collaboration with employers, the program offers a comprehensive education in various facets of modern business management, addressing not only organizational challenges but also legal, ethical, and sustainability issues confronting companies in the contemporary business landscape. 

This course is for 16+ candidates who are absolute beginners and are interested in the recording, production and engineering of music and sound. Candidates will learn to develop and practice their skills using a variety of sound equipment and DAW software. Explored skills are basic recording studio operations (live studio sessions), the use of loop sequencing software, and an introduction to audio and MIDI editing techniques.  Day: Monday & Wednesday evenings (one academic year) Times: 6pm - 9pm Who is this course for?  This course is an entry-level precursor and prepares learners for the full Level 2 Music Technology qualification. More able learners can also do the parallel Level 2 course if desired. What will I learn?  This will include course objectives. •Use Midi sequencing and software •Use Midi & Audio techniques •How to use computerized file location, file saving and backup procedures •Record and mix down a combination of MIDI and AUDIO materials •How to build a portfolio of evidence to show development of your work.