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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

This course is for young learners who: Have completed Level 5. Know how to read, write and speak Greek without any strain. Communicate with native speakers Greek and speak with clarity and spontaneity.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Solutions architects Developers Cost-optimization leads System administrators Overview In this course, you will learn to: Explain the cost of core AWS services Determine and predict costs associated with current and future cloud workloads Use strategies and best practices to reduce AWS costs Use AWS tools to manage, monitor, alert, and optimize your AWS spend Apply strategies to monitor service costs and usage Implement governance standards, including resource tagging, account structure, provisioning,permissions, and access This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS. Module 0: Couse Overview Course introduction Module 1: Introduction to Cloud Financial Management Introduction to Cloud Financial Management Four pillars of Cloud Financial Management Module 2: Resource Tagging Tagging resources Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config Module 3: Pricing and Cost Fundamentals of pricing AWS Free Tier Volume discounts Savings plans and Reserved Instances Demonstration: AWS Pricing Calculator Module 4: AWS Billing, Reporting, and Monitoring Understanding AWS invoices Reporting and planning AWS Cost Explorer AWS Budgets Demonstration: AWS Billing Console Demonstration: AWS Cost Explorer Demonstration: Trusted Advisor Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling Module 5: Architecting for Cost: Compute Evolution of compute efficiency Amazon EC2 right-sizing Purchasing options Architect for Amazon EC2 Spot Instance Impact of software licensing Demonstration: Compute Optimizer Demonstration: Spot Instance Advisor Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics Module 6: Architecting for Cost: Networking Data transfer costs Understand data costs for different services How to triage network costs Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints Module 7: Architecting for Cost: Storage Amazon EBS cost, pricing, and best practices Amazon S3 cost, pricing, and best practices Amazon EFS cost, pricing, and best practices Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management Module 8: Architecting for Cost: Databases Amazon RDS cost, pricing, and best practices Amazon Aurora cost, pricing, and best practices Amazon DynamoDB cost, pricing, and best practices Amazon ElastiCache cost, pricing, and best practices Amazon Redshift cost, pricing, and best practices Module 9: Cost Governance Setting up AWS Organizations AWS Systems Manager Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler Module 10: Course Summary Course review

Duration 3 Days 18 CPD hours This course is intended for Organizations today demand a professional-level cybersecurity threat intelligence analyst who can extract the intelligence from data by implementing various advanced strategies. Such professional-level programs can only be achieved when the core of the curricula maps with and is compliant to government and industry published threat intelligence frameworks. Ethical Hackers Security Practitioners, Engineers, Analysts, Specialist, Architects, and Managers Threat Intelligence Analysts, Associates, Researchers, Consultants Threat Hunters SOC Professionals Digital Forensic and Malware Analysts Incident Response Team Members Any mid-level to high-level cybersecurity professionals with a minimum of 2 years of experience. Individuals from the information security profession and who want to enrich their skills and knowledge in the field of cyber threat intelligence. Individuals interested in preventing cyber threats. Overview This program will benefit students who are looking to build effective threat intelligence for their organization in order to combat modern-day cyber-attacks and prevent future attacks. Certified Threat Intelligence Analyst (C|TIA) is designed and developed in collaboration with cybersecurity and threat intelligence experts across the globe to help organizations identify and mitigate business risks by converting unknown internal and external threats into known threats. It is a comprehensive, specialist-level program that teaches a structured approach for building effective threat intelligence. Introduction to Threat Intelligence Understanding Intelligence Understanding Cyber Threat Intelligence Overview of Threat Intelligence Lifecycle and Frameworks Cyber Threats and Kill Chain Methodology Understanding Cyber Threats Understanding Advanced Persistent Threats (APTs) Understanding Cyber Kill Chain Understanding Indicators of Compromise (IoCs) Requirements, Planning, Direction, and Review Understanding Organization?s Current Threat Landscape Understanding Requirements Analysis Planning Threat Intelligence Program Establishing Management Support Building a Threat Intelligence Team Overview of Threat Intelligence Sharing Reviewing Threat Intelligence Program Data Collection and Processing Overview of Threat Intelligence Data Collection Overview of Threat Intelligence Collection Management Overview of Threat Intelligence Feeds and Sources Understanding Threat Intelligence Data Collection and Acquisition Understanding Bulk Data Collection Understanding Data Processing and Exploitation Data Analysis Overview of Data Analysis Understanding Data Analysis Techniques Overview of Threat Analysis Understanding Threat Analysis Process Overview of Fine-Tuning Threat Analysis Understanding Threat Intelligence Evaluation Creating Runbooks and Knowledge Base Overview of Threat Intelligence Tools Intelligence Reporting and Dissemination Overview of Threat Intelligence Reports Introduction to Dissemination Participating in Sharing Relationships Overview of Sharing Threat Intelligence Overview of Delivery Mechanisms Understanding Threat Intelligence Sharing Platforms Overview of Intelligence Sharing Acts and Regulations Overview of Threat Intelligence Integration

ChatGPT, along with other AI tools, aims not to replace the human touch in management, but to enhance it. By addressing repetitive, daily tasks, these tools free up managers to concentrate on core responsibilities like strategic decision-making, team development, and innovation. As we move further into the digital age, integrating tools such as ChatGPT isn't a luxury; it's the future of proactive leadership. In this guide, we'll delve into 10 practical ways through which AI can elevate your efficiency and refine the quality of your work. Gain familiarity with prominent AI tools in the market Efficiently compose and respond to emails Generate concise summaries of complex reports and data. Obtain quick insights, data, and research across varied topics Streamline the writing of articles, training notes, and posts Craft interview tests, form relevant questions, and design checklists for the hiring process 1 Streamlining emails An inbox can be a goldmine of information but also a significant time drain for managers. Here's how to optimise it: Drafting responses: Give the AI a brief, and watch it craft a well-structured response. Sorting and prioritising: By employing user-defined rules and keywords, ChatGPT can flag important emails, ensuring no vital communication slips through the cracks. 2 Efficient report writing Reports, especially routine ones, can be time-intensive. Here's a smarter approach: Automate content: Supply key data points to the AI, and let it weave them into an insightful report. Proofreading: Lean on ChatGPT for grammar checks and consistency, ensuring each report remains crisp and error-free. 3 Rapid research From competitor insights to market trends, research is a pivotal part of management. Data synthesis: Feed raw data to the AI and receive succinct summaries in return. Question-answering: Pose specific questions about a dataset to ChatGPT and extract swift insights without diving deep into the entire content. 4 Reinventing recruitment Hiring can be a lengthy process. Here's how to make it more efficient: Resume screening: Equip the AI to spot keywords and qualifications, ensuring that only the most fitting candidates are shortlisted. Preliminary interviews: Leverage ChatGPT for the initial rounds of interviews by framing critical questions and evaluating the responses. 5 Enhancing training Especially for extensive teams, training can be a monumental task. Here's how ChatGPT can assist: Customised content: Inform the AI of your training goals, and it will draft tailored content suitable for various roles. PowerPoint design: Create visually appealing slide presentations on any topic in minimal time.

Are you an EDI Officer, HR Specialist, Leader or Manager? Or the nominated EDI champion for your team? Maybe you've been given the EDI portfolio on behalf of your Board or department? Or if you're aiming to make a difference via your diverse staff network or union, all change-makers are welcome!

Are you tired of “rocky” relationships, bad dates or feeling lonely? Most of us have learned the hard way, the cost of getting a relationship wrong can be enormous. The rewards of getting it right are immeasurable! That is why, as a certified Relationship & Dating Coach, I help clients avoid the pitfalls and find lasting happiness. So, do you really want to do it right this time around? Take charge of your love lfie today and book a free confidential 30-minute introductory session.

Course Overview This comprehensive course on "Data Analysis and Forecasting in Excel" provides learners with essential skills to manage, analyse, and visualise data effectively using Excel. Whether you are analysing historical data or forecasting future trends, this course covers key tools such as PivotTables, charts, and lookup functions to make your data work for you. Learners will also gain proficiency in automating tasks and creating dynamic reports, which are invaluable for decision-making processes in various professional settings. By the end of the course, you will have the capability to work with complex data sets, produce insightful reports, and apply forecasting techniques to guide future strategies. Course Description In this course, learners will delve into the full spectrum of data analysis capabilities offered by Excel. Topics include modifying worksheets, working with lists, and using advanced tools such as PivotTables, PivotCharts, and lookup functions. Learners will explore the process of visualising data through charts and sparklines, allowing them to convey complex information in an accessible manner. The course also covers automating workbook functionality and creating mapping data for better analysis. Additionally, learners will gain expertise in forecasting data trends to support strategic planning. By the end of the course, participants will have developed a comprehensive understanding of Excel’s analytical tools, enabling them to manage data with efficiency and precision in various business contexts. Course Modules Module 01: Modifying a Worksheet Module 02: Working with Lists Module 03: Analyzing Data Module 04: Visualizing Data with Charts Module 05: Using PivotTables and PivotCharts Module 06: Working with Multiple Worksheets and Workbooks Module 07: Using Lookup Functions and Formula Auditing Module 08: Automating Workbook Functionality Module 09: Creating Sparklines and Mapping Data Module 10: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to enhance their Excel data analysis skills. Professionals aiming to improve their forecasting and reporting capabilities. Beginners with an interest in data management and analysis. Those seeking to enhance their proficiency in Excel for career advancement. Career Path Data Analyst Business Analyst Financial Analyst Marketing Analyst Operations Manager Project Manager Excel Specialist in various industries such as finance, marketing, and logistics

Course Overview The French Course for Beginners offers a comprehensive introduction to one of the world’s most widely spoken languages. Designed for learners with little to no prior experience, this course covers essential vocabulary, common phrases, pronunciation, and basic grammar structures. By the end of the programme, learners will be able to engage in simple conversations, understand everyday expressions, and build a strong foundation for further study or travel. The practical value of the course lies in its ability to enhance communication skills, promote cultural understanding, and boost confidence in using French in various real-world contexts. Whether pursuing personal enrichment, preparing for travel, or seeking to expand language skills for future professional opportunities, this beginner-level course equips learners with the essential tools needed to start their journey towards fluency. Structured lessons, engaging exercises, and supportive materials ensure a rewarding and motivating learning experience throughout. Course Description The French Course for Beginners takes learners on a structured journey through the fundamentals of the French language. The course covers topics such as greetings, introducing oneself, numbers, telling the time, ordering food, asking for directions, and discussing daily activities. Each lesson builds progressively to reinforce understanding and confidence. Through interactive exercises, audio support, and clear explanations, learners develop listening, speaking, reading, and writing skills in a supportive environment. Attention is given to pronunciation, cultural nuances, and practical conversation techniques that will serve learners in everyday situations. Designed with absolute beginners in mind, this course enables participants to develop a strong linguistic foundation without feeling overwhelmed. Upon completion, learners will have acquired essential communication abilities, basic grammatical knowledge, and the confidence to continue advancing their French language studies, making it an ideal starting point for both personal and professional growth. Course Modules Module 01: Lesson 1 Module 02: Lesson 2 Module 03: Lesson 3 Module 04: Lesson 4 Module 05: Lesson 5 Module 06: Lesson 6 Module 07: Lesson 7 Module 08: Lesson 8 Module 09: Lesson 9 (See full curriculum) Who is this course for? Individuals seeking to learn French for travel, communication, or personal growth. Professionals aiming to expand their language skills for international career opportunities. Beginners with an interest in exploring new languages and cultures. Students preparing for future academic studies in French-speaking environments. Anyone looking to add a valuable language skill to their portfolio. Career Path Language Assistant International Customer Service Representative Hospitality and Tourism Staff Administrative Support Roles in International Companies Language Tutor for Beginners Travel Coordinator or Tour Guide Retail and Sales Associate in French-speaking regions

Course Overview The Sports Medicine Fundamentals course offers a comprehensive introduction to the key principles, practices, and applications of sports medicine. This engaging programme covers essential areas such as common sports injuries, athlete nutrition, performance enhancement, and the future of sports science. Designed for individuals looking to deepen their understanding of athlete care and physical performance, the course provides valuable insights that can support professional growth or personal interest. Learners will explore the medical challenges faced by athletes, understand imaging techniques used in diagnostics, and examine the role of exercise and nutrition in injury prevention and recovery. By the end of this course, learners will be equipped with a strong foundational knowledge of sports medicine, ready to pursue further study or career opportunities in related fields. The content is suitable for both beginners and those looking to enhance their expertise within the world of sports and health sciences. Course Description This course delves into the core concepts of sports medicine, offering an in-depth understanding of injury management, prevention strategies, and athlete wellbeing. Topics include the study of the most common sports injuries, the use of medicines in treatment plans, and the impact of nutrition and weight management on athletic performance. Learners will explore medical conditions unique to athletes, advancements in imaging technologies, and the science behind performance enhancement techniques. Additionally, the course highlights potential career paths within the sports medicine sector, providing guidance for those considering entering the field. With a carefully structured curriculum, learners will gain theoretical knowledge and critical thinking skills that will prepare them for roles in sports healthcare, rehabilitation, and exercise science. Presented in an accessible format, the course supports diverse learning needs and fosters a solid understanding of the evolving landscape of sports medicine. Course Modules Module 01: Sports Medicine Module 02: Careers in Sports Medicine Module 03: Top Ten Common Sports Injuries Module 04: Common Sports Medicines Module 05: Nutrition and Weight Management Module 06: Medical Problems Faced by Athletes Module 07: Sports and Exercise Module 08: Imaging in Sports Medicine Module 09: Performance Enhancement Module 10: The Future of Sports Science (See full curriculum) Who is this course for? Individuals seeking to understand the fundamentals of sports medicine and athlete care. Professionals aiming to broaden their knowledge of sports healthcare and rehabilitation. Beginners with an interest in sports science, athletic performance, or health studies. Fitness coaches, physical education teachers, or anyone considering a career in sports health. Career Path Sports Medicine Assistant Athletic Trainer Rehabilitation Support Staff Fitness and Wellness Advisor Exercise Scientist Sports Performance Analyst Health and Wellness Coordinator Youth Sports Programme Coordinator