1614 Logic courses

In today’s data-driven world, understanding business analysis is less of a luxury and more of a necessity. This CPD Accredited Business Analysis Course offers a sharp and focused route to learning the essentials of evaluating business needs, improving processes, and guiding decision-makers with clarity and precision. Whether you're aiming to boost your analytical thinking or brush up on frameworks used across various industries, this course speaks the language of business with just the right amount of logic and flair. With engaging modules and a no-fluff approach, you’ll explore the core pillars of business analysis, from stakeholder communication to requirement gathering and data interpretation. Designed for curious minds who appreciate structure over jargon, this online course balances clarity with depth. It's tailored to suit professionals at different stages of their career—minus the clichés, unnecessary metaphors, or lofty promises. Just smart learning, well delivered. Course Curriculum: Module 01: An Introduction to Business Analysis Module 02: The Necessity of a Business Analyst Module 03: Addressing Requirements Module 04: Needs Assessment Module 05: Business Analysis Planning Module 06: Strategy Analysis Module 07: Stakeholder Analysis Module 08: Requirements Elicitation Module 09: Requirements Analysis Module 10: Traceability and Monitoring Module 11: Solution Evaluation Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Business Analysis - CPD Accredited course. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Business Analysis - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Business Analysis - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Business Analysis - CPD Accredited training.

Keeping your computer in good health shouldn’t feel like decoding ancient hieroglyphs. This CPD-accredited online course is your go-to guide for understanding how your machine ticks—and more importantly, how to stop it from randomly deciding not to. From troubleshooting common issues to managing updates, system security, and basic optimisation, we cover the essentials with clarity, logic, and just enough dry wit to keep your cursor blinking in approval. Ideal for beginners, enthusiasts, and the tech-curious, this course is entirely online—no spanners, screwdrivers, or awkward classroom lighting required. Whether you're looking to improve performance, prevent problems before they start, or just want your laptop to stop wheezing like an asthmatic pensioner every time you open a spreadsheet, you're in the right place. Learn to maintain and manage your device with confidence, without ever having to leave your chair (unless it’s to reboot, of course) Course Curriculum: Module 01: Introduction to Computer & Building PC Module 02: Overview of Hardware and Parts Module 03: Building the Computer Module 04: Input and Output Devices Module 05: Software Installation Module 06: Computer Networking Module 07: Building a Gaming PC Module 08: Maintenance of Computers Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Computer Maintenance - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Computer Maintenance - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Computer Maintenance - CPD Accredited training.

This is a comprehensive course for using HashiCorp Packer in your organization. The course teaches you about using HCL2 to create your Packer templates, the new standard moving forward. Explore the core HashiCorp Packer components and access hands-on labs you can perform in your environment.

Duration 5 Days 30 CPD hours This course is intended for The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration. Overview Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge: 1. Architectural Concepts & Design Requirements 2. Cloud Data Security 3. Cloud Platform & Infrastructure Security 4. Cloud Application Security 5. Operations 6. Legal & Compliance The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge. 1 - Architectural Concepts and Design Requirements Cloud Computing Concepts Cloud Reference Architecture Cloud Computing Security Concepts Design Principles of Secure Cloud Computing Trusted Cloud Services 2 - Cloud Data Security CSA (Cloud Security Alliance) Cloud Data Lifecycle Cloud Data Storage Architectures Data Security Strategies Data Discovery and Classification Technologies Protecting Privacy and PII (Personally Identifiable Information) Data Rights Management Data Retention, Deletion, and Archiving Policies Auditability, Traceability, and Accountability of Data Events 3 - Cloud Platform and Infrastructure Security Cloud Infrastructure Components Cloud Infrastructure Risks Designing and Planning Security Controls Disaster Recovery and Business Continuity Management 4 - Cloud Application Security The Need for Security Awareness and Training in application Security Cloud Software Assurance and Validation Verified Secure Software SDLC (Software Development Life Cycle) Process Secure SDLC Specifics of Cloud Application Architecture Secure IAM (Identity and Access Management) Solutions 5 - Operations Planning Process for the Data Center Design Installation and Configuration of Physical Infrastructure for Cloud Environment Running Physical Infrastructure for Cloud Environment Managing Physical Infrastructure for Cloud Environment Installation and Configuration of Logical Infrastructure for Cloud Environment Running Logical Infrastructure for Cloud Environment Managing Logical Infrastructure for Cloud Environment Compliance with Regulations and Controls Risk Assessment for Logical and Physical Infrastructure Collection, Acquisition, and Preservation of Digital Evidence Managing Communication with Stakeholders 6 - Legal and Compliance Legal Requirements and Unique Risks within the Cloud Environment Relevant Privacy and PII Laws and Regulations Audit Process, Methodologies, and Required Adaptions for a Cloud Environment Implications of Cloud to Enterprise Risk Management Outsourcing and Cloud Contract Design Vendor Management

NodeJS allows you to build complex and powerful applications quickly and easily, writing JavaScript code. It also allows you to use JavaScript for web applications with flexibility for a wide range of different purposes. Learn about MongoDB as a database and how to build it as well as Express as a framework to build web apps on top of Node.js.

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

Criminal Psychology and Profiling Online Course Criminal profiling is essential for providing useful investigative information and increasing victim protection. In this comprehensive Advance Training on Criminal Psychology and Profiling course, you will learn the fundamentals of criminal profiling to identify the perpetrator of a violent crime. The course begins by providing you with an in-depth understanding of criminal psychology. You will learn how mental illnesses can motivate illegal activity and how crimes are classified. We will guide you on the process of understanding criminal behaviour, reconstructing a crime from start to finish, and making the most scientific determinations based on the evidence. You will start improving your criminal profiling abilities to catch violent offenders and prevent certain crimes from occurring. Enrol today to possess the necessary skills for criminal profiling and ensure that no criminal escapes. Course Curriculum Module 01: Understanding Criminal Psychology Module 02: Influence of Mental Disorders Module 03: Classification of Crime Module 04: Forensic Science Module 05: Criminal Profiling: Science, Logic and Metacognition Module 06: Phases of Profiling Module 07: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 08: Victimology Module 09: The Criminal Justice System in England and Wales (Learn more about this online course)

Step into the creative realm of game development with our JavaScript Project - Game Development with JS Course. This course is built for those who enjoy logic, love puzzles, and want to see their code come to life in the form of interactive browser games. From crafting dynamic player actions to designing simple scoring systems, this journey through JavaScript is engaging, structured, and packed with purpose. Whether you're keen to polish your JavaScript logic or want to add a bit of spark to your developer portfolio, this course walks you through every essential layer of coding a game—from drawing the canvas to animating characters. With a hint of challenge and a dash of fun, you’ll gain an in-depth understanding of how browser-based games are built and function, all without ever needing to leave your desk. Learning Outcomes: Understanding of game development with JavaScript Ability to create interactive and engaging games using JS Knowledge of using HTML and CSS to create the game environment Understanding of arrays and math functions in JS Knowledge of how to integrate different elements of a game using JS The JavaScript Project - Game Development with JS course is designed to help learners explore the exciting world of game development using JavaScript. This course provides an introduction to creating engaging and interactive games, covering topics such as HTML, CSS, arrays, and math functions. The course includes hands-on project-based learning, which will help learners to gain a deep understanding of the principles of game development with JavaScript. The course is divided into several sections, starting with an introduction to game development with JavaScript. The course then progresses to cover the creation of a game called Beware of the Jolly Roger, which involves clicking on flags and avoiding the Jolly Roger. The course provides a step-by-step guide to creating the game, which will enable learners to follow along and gain practical experience in game development using JavaScript. ⊱⊱ JavaScript Project - Game Development with JS Course Curriculum Section 01: Introduction Introduction to Beware of the Jolly Roger Section 02: Beware of the Jolly Roger Creating the HTML File Adding CSS to it Understanding Math Random Adding Javascript Calling the Function Clicked on 10 Flags Jolly Roger Win or Lose Flag is Displayed Understanding Arrays Different Flag Opening at Every Click How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginner and intermediate JavaScript developers looking to enhance their skills in game development Anyone interested in learning how to create interactive and engaging games using JavaScript Students interested in pursuing a career in game development Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Junior Game Developer: £20,000 - £30,000 per year Game Programmer: £30,000 - £50,000 per year Front-End Developer: £25,000 - £50,000 per year Full-Stack Developer: £30,000 - £70,000 per year Web Developer: £20,000 - £45,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Step into the intricate world of artificial neural networks with a course that sheds light on one of the most dynamic branches of deep learning. Designed for those keen to explore the structure, function and logic behind intelligent systems, this course blends academic insight with a clear, structured approach to the evolving digital frontier. From perceptrons to multilayer networks, it offers a layered understanding of how machines mimic the human brain’s decision-making process — minus the caffeine and existential crises. Whether you're sharpening your knowledge or stepping into the field with curiosity, this course provides a sharp focus on the core principles that power technologies like image recognition, voice synthesis and predictive modelling. Delivered in an accessible format, it caters to learners who want depth without the fluff, logic without the waffle, and progress without the guesswork. Neural networks may be artificial — but your understanding of them won’t be. Learning Outcomes: Gain a solid understanding of artificial neural networks and their applications in deep learning. Learn how to install the necessary packages and preprocess data for neural network training. Discover how to encode data and build your own artificial neural network using Python. Understand the steps involved in making predictions using your neural network model. Learn how to deal with imbalanced data in your neural network training. The Project on Deep Learning - Artificial Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network and perform complex tasks using deep learning. You'll learn how to install the necessary packages, preprocess data, and encode data for neural network training. You'll also gain a deeper understanding of artificial neural networks and learn how to build your own model using Python. By the end of the course, you'll be able to make predictions using your neural network model and understand how to deal with imbalanced data in your training. Project on Deep Learning - Artificial Neural Network Course Curriculum Section 01: Introduction Section 02: ANN Installation Section 03: Data Preprocessing Section 04: Data Encoding Section 05: Steps to Build ANN Section 06: Predictions and Imbalance-Learn How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and artificial neural networks. Programmers who want to learn how to build their own neural network models for advanced tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of artificial neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Deep Learning Engineer: £30,000 - £75,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Step into the digital realm of modern manufacturing with our CNC Programming – Numerical Computing Course, designed for those who prefer precision over guesswork. This course simplifies the complexities of numerical control, guiding you through G-code, M-code, and toolpath logic with clarity and confidence. Whether you're interested in automation or programming for CNC milling and turning operations, the course keeps things structured, efficient, and easy to digest. Expect a well-ordered exploration of CNC systems, machine control techniques, and numerical logic that governs modern production lines. From motion sequences to program flow, the content is built to keep learners engaged without overwhelming them. If your interests lie in the brains behind the machines – not the bolts – then this is your kind of course. Everything is delivered in a format you can manage on your schedule, with no cables, controllers, or safety goggles required. By the end of the course, individuals will be able to: Identify the fundamentals of CNC, the various CNC machine types, and how to utilise them. Distinguish the software and coding languages used to run CNC machines, as well as how to write and update CNC programmes. Acknowledge essential elements of CNC operations, such as how to instal and run CNC machines, how to conduct basic maintenance, and how to solve typical issues. Comprehend how to read engineering diagrams and blueprints Discover how to write CNC programmes to make components Course Curriculum - Module 01: Scope of the Course Module 02: Numerical Control of Machine Tools Module 03: Computer Numerical Control Syst Module 04: Components of Computer Numerical Control Syst Module 05: Point-to-Point Computer Numerical Control Syst Machines Module 06: Incremental & Absolute Computer Numerical Control Syst Machines Module 07: Open & Close Control Loop Computer Numerical Control Syst Machines Module 08: 2 &3 Axes Computer Numerical Control Syst Machines Module 09: Importance of Higher axes Machining Module 10: Programming Format Module 11: Cartesian Coordinate System Module 12: How to Write a Program Module 13: Basic Programming (Absolute Mode) Module 14: Basic Programming (Incremental) Module 15: A Simple Coding Exercise Module 16: Applications of Computer Numerical Control Syst Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is suitable for the following: Individuals who are seeking to become proficient in CNC programming Manufacturing and machining professionals who want to improve their CNC programming skills Mechanical engineers and technicians who want to improve their understanding of CNC programming Individuals who are interested in the field of manufacturing and machining Students of engineering or manufacturing who want to gain knowledge and skills in CNC programming Requirements This An Introduction to CNC Programming course is open to all, with no formal entry requirements. Career path CNC Machinist: £20,000 to £35,000 CNC Operator: £20,000 to £35,000 CNC Maintenance Technician: £24,000 to £40,000 CNC Service Engineer: £24,000 to £40,000