11 BCS courses in Edinburgh delivered Live Online

Join our 3-day live training in Business Analysis this July. Price includes training, the exam, recommend book, online course and free BCS membership when you pass.

The 3 day live training course in Business Analysis Practice will help build careers as a business analyst, business architect, data analyst, enterprise analyst, management consultant...

The 3 day live training course in BCS Modelling Business Processes explores how modelling occurs at the three levels of the business process hierarchy and consider how business change and processes can be managed and implemented.

The 2 day live training course in Requirements Engineering develops your skills in the understanding and application of elicitation, analysis and management of business analysis requirements.

This CISMP course and exam is for anyone wishing to progress their career in the rapidly expanding fields of Information Security, risk and cyber especially within the UK public sector.

The 3 day live training course in Business Analysis Practice will help build careers as a business analyst, business architect, data analyst, enterprise analyst, management consultant...

The 12 day live training course for BCS International Diploma in Business Analysis will help build your career as a business analyst, business architect, data analyst, enterprise analyst, management consultant...

The BCS Foundation Certificate in Business Analysis is a foundation- level certification that provides a broad understanding of business analysis principles and techniques. It is offered by the British Computer Society (BCS), a professional association for IT professionals.

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE (AI) * Recall the General Definition of Human and Artificial Intelligence (AI) * Describe what are Ethics and Trustworthy Artificial Intelligence (AI) * Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals * Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' * Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) ARTIFICIAL INTELLIGENCE (AI) AND ROBOTICS * Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description * Describe what a Robot is * Describe what an intelligent Robot is APPLYING THE BENEFITS OF ARTIFICIAL INTELLIGENCE (AI) ? CHALLENGES AND RISKS * Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations * Explain the Benefits of Artifical Intelligence (AI) * Describe the Challenges of Artificial Intelligence (AI) Projects * Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects * List Opportunities for Artificial Intelligence (AI) * Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) STARTING ARTIFICIAL INTELLIGENCE (AI): HOW TO BUILD A MACHINE LEARNING (ML) TOOLBOX ? THEORY AND PRACTICE * Describe how we Learn from Data - Functionality, Software and Hardware * Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES * Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together * List Future Directions of Humans and Machines Working Together * Describe a ''Learning from Experience'' Agile Approach to Projects

ISTQB® FOUNDATION TRAINING COURSE (2 persons minimum) The aim of this course is to provide you with the knowledge and skills to pass an exam certifying you as an ISTQB® Certified Tester - Foundation Level. Most organisations require this certification as a minimum skill requirement for software testers. In this course you will learn a standardized approach to software testing that will be immediately applicable to your projects. In order to get the certification you will be required to pass a 60-minute exam. Our trainers will fully prepare you by employing scenarios that mirror the exam questions, and by focusing course delivery with a balance of theory and practice. Target group: Functional Tester, Agile Tester, User Acceptance Tester, Test Automation Specialist, Performance Testing Specialist, Testing Team Lead, Test Manager, Business analyst Prerequisites: There are no specific prerequisites for this course. This course is suitable for anyone involved in software testing. Duration: 3 days. Training objectives: * Learn aspects of test planning, estimation, monitoring and control. * Understand and use international standards and terminology. * Understand and implement effective testing techniques. * Be well prepared for the exam. * Identify the missing testing skills for the career development purposes. This course covers the following areas: * Fundamentals of software testing * Testing throughout the life cycle (software development models, test levels, test types) * Test design techniques (e.g. specification-based or black-box techniques, structure-based or white-box techniques) * Static testing (static testing techniques, review process, tool-assisted static analysis) * Test management (test organisation, test planning and estimation, test progress monitoring and control, risks) * Tools to support testing (types, benefits and risks) Language: English