1445 Lead courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 5 Days 30 CPD hours This course is intended for Security engineer Network engineer Network designer Network administrator Systems engineer Consulting systems engineer Technical solutions architect Network manager Cisco integrators and partners Overview After taking this course, you should be able to: Describe information security concepts and strategies within the network Describe common TCP/IP, network application, and endpoint attacks Describe how various network security technologies work together to guard against attacks Implement access control on Cisco ASA appliance and Cisco Firepower Next-Generation Firewall Describe and implement basic email content security features and functions provided by Cisco Email Security Appliance Describe and implement web content security features and functions provided by Cisco Web Security Appliance Describe Cisco Umbrella security capabilities, deployment models, policy management, and Investigate console Introduce VPNs and describe cryptography solutions and algorithms Describe Cisco secure site-to-site connectivity solutions and explain how to deploy Cisco Internetwork Operating System (Cisco IOS) Virtual Tunnel Interface (VTI)-based point-to-point IPsec VPNs, and point-to-point IPsec VPN on the Cisco ASA and Cisco Firepower Next-Generation Firewall (NGFW) Describe and deploy Cisco secure remote access connectivity solutions and describe how to configure 802.1X and Extensible Authentication Protocol (EAP) authentication Provide basic understanding of endpoint security and describe Advanced Malware Protection (AMP) for Endpoints architecture and basic features Examine various defenses on Cisco devices that protect the control and management plane Configure and verify Cisco IOS software Layer 2 and Layer 3 data plane controls Describe Cisco Stealthwatch Enterprise and Stealthwatch Cloud solutions Describe basics of cloud computing and common cloud attacks and how to secure cloud environment The Implementing and Operating Cisco Security Core Technologies (SCOR) v1.0 course helps you prepare for the Cisco© CCNP© Security and CCIE© Security certifications and for senior-level security roles. In this course, you will master the skills and technologies you need to implement core Cisco security solutions to provide advanced threat protection against cybersecurity attacks. You will learn security for networks, cloud and content, endpoint protection, secure network access, visibility, and enforcements. You will get extensive hands-on experience deploying Cisco Firepower© Next-Generation Firewall and Cisco Adaptive Security Appliance (ASA) Firewall; configuring access control policies, mail policies, and 802.1X Authentication; and more. You will get introductory practice on Cisco Stealthwatch© Enterprise and Cisco Stealthwatch Cloud threat detection features. This course, including the self-paced material, helps prepare you to take the exam, Implementing and Operating Cisco Security Core Technologies (350-701 SCOR), which leads to the new CCNP Security, CCIE Security, and the Cisco Certified Specialist - Security Core certifications. Describing Information Security Concepts* Information Security Overview Assets, Vulnerabilities, and Countermeasures Managing Risk Vulnerability Assessment Understanding Common Vulnerability Scoring System (CVSS) Describing Common TCP/IP Attacks* Legacy TCP/IP Vulnerabilities IP Vulnerabilities Internet Control Message Protocol (ICMP) Vulnerabilities TCP Vulnerabilities User Datagram Protocol (UDP) Vulnerabilities Attack Surface and Attack Vectors Reconnaissance Attacks Access Attacks Man-in-the-Middle Attacks Denial of Service and Distributed Denial of Service Attacks Reflection and Amplification Attacks Spoofing Attacks Dynamic Host Configuration Protocol (DHCP) Attacks Describing Common Network Application Attacks* Password Attacks Domain Name System (DNS)-Based Attacks DNS Tunneling Web-Based Attacks HTTP 302 Cushioning Command Injections SQL Injections Cross-Site Scripting and Request Forgery Email-Based Attacks Describing Common Endpoint Attacks* Buffer Overflow Malware Reconnaissance Attack Gaining Access and Control Gaining Access via Social Engineering Gaining Access via Web-Based Attacks Exploit Kits and Rootkits Privilege Escalation Post-Exploitation Phase Angler Exploit Kit Describing Network Security Technologies Defense-in-Depth Strategy Defending Across the Attack Continuum Network Segmentation and Virtualization Overview Stateful Firewall Overview Security Intelligence Overview Threat Information Standardization Network-Based Malware Protection Overview Intrusion Prevention System (IPS) Overview Next Generation Firewall Overview Email Content Security Overview Web Content Security Overview Threat Analytic Systems Overview DNS Security Overview Authentication, Authorization, and Accounting Overview Identity and Access Management Overview Virtual Private Network Technology Overview Network Security Device Form Factors Overview Deploying Cisco ASA Firewall Cisco ASA Deployment Types Cisco ASA Interface Security Levels Cisco ASA Objects and Object Groups Network Address Translation Cisco ASA Interface Access Control Lists (ACLs) Cisco ASA Global ACLs Cisco ASA Advanced Access Policies Cisco ASA High Availability Overview Deploying Cisco Firepower Next-Generation Firewall Cisco Firepower NGFW Deployments Cisco Firepower NGFW Packet Processing and Policies Cisco Firepower NGFW Objects Cisco Firepower NGFW Network Address Translation (NAT) Cisco Firepower NGFW Prefilter Policies Cisco Firepower NGFW Access Control Policies Cisco Firepower NGFW Security Intelligence Cisco Firepower NGFW Discovery Policies Cisco Firepower NGFW IPS Policies Cisco Firepower NGFW Malware and File Policies Deploying Email Content Security Cisco Email Content Security Overview Simple Mail Transfer Protocol (SMTP) Overview Email Pipeline Overview Public and Private Listeners Host Access Table Overview Recipient Access Table Overview Mail Policies Overview Protection Against Spam and Graymail Anti-virus and Anti-malware Protection Outbreak Filters Content Filters Data Loss Prevention Email Encryption Deploying Web Content Security Cisco Web Security Appliance (WSA) Overview Deployment Options Network Users Authentication Secure HTTP (HTTPS) Traffic Decryption Access Policies and Identification Profiles Acceptable Use Controls Settings Anti-Malware Protection Deploying Cisco Umbrella* Cisco Umbrella Architecture Deploying Cisco Umbrella Cisco Umbrella Roaming Client Managing Cisco Umbrella Cisco Umbrella Investigate Overview and Concepts Explaining VPN Technologies and Cryptography VPN Definition VPN Types Secure Communication and Cryptographic Services Keys in Cryptography Public Key Infrastructure Introducing Cisco Secure Site-to-Site VPN Solutions Site-to-Site VPN Topologies IPsec VPN Overview IPsec Static Crypto Maps IPsec Static Virtual Tunnel Interface Dynamic Multipoint VPN Cisco IOS FlexVPN Deploying Cisco IOS VTI-Based Point-to-Point IPsec VPNs Cisco IOS VTIs Static VTI Point-to-Point IPsec Internet Key Exchange (IKE) v2 VPN Configuration Deploying Point-to-Point IPsec VPNs on the Cisco ASA and Cisco Firepower NGFW Point-to-Point VPNs on the Cisco ASA and Cisco Firepower NGFW Cisco ASA Point-to-Point VPN Configuration Cisco Firepower NGFW Point-to-Point VPN Configuration Introducing Cisco Secure Remote Access VPN Solutions Remote Access VPN Components Remote Access VPN Technologies Secure Sockets Layer (SSL) Overview Deploying Remote Access SSL VPNs on the Cisco ASA and Cisco Firepower NGFW Remote Access Configuration Concepts Connection Profiles Group Policies Cisco ASA Remote Access VPN Configuration Cisco Firepower NGFW Remote Access VPN Configuration Explaining Cisco Secure Network Access Solutions Cisco Secure Network Access Cisco Secure Network Access Components AAA Role in Cisco Secure Network Access Solution Cisco Identity Services Engine Cisco TrustSec Describing 802.1X Authentication 802.1X and Extensible Authentication Protocol (EAP) EAP Methods Role of Remote Authentication Dial-in User Service (RADIUS) in 802.1X Communications RADIUS Change of Authorization Configuring 802.1X Authentication Cisco Catalyst© Switch 802.1X Configuration Cisco Wireless LAN Controller (WLC) 802.1X Configuration Cisco Identity Services Engine (ISE) 802.1X Configuration Supplicant 802.1x Configuration Cisco Central Web Authentication Describing Endpoint Security Technologies* Host-Based Personal Firewall Host-Based Anti-Virus Host-Based Intrusion Prevention System Application Whitelists and Blacklists Host-Based Malware Protection Sandboxing Overview File Integrity Checking Deploying Cisco Advanced Malware Protection (AMP) for Endpoints* Cisco AMP for Endpoints Architecture Cisco AMP for Endpoints Engines Retrospective Security with Cisco AMP Cisco AMP Device and File Trajectory Managing Cisco AMP for Endpoints Introducing Network Infrastructure Protection* Identifying Network Device Planes Control Plane Security Controls Management Plane Security Controls Network Telemetry Layer 2 Data Plane Security Controls Layer 3 Data Plane Security Controls Deploying Control Plane Security Controls* Infrastructure ACLs Control Plane Policing Control Plane Protection Routing Protocol Security Deploying Layer 2 Data Plane Security Controls* Overview of Layer 2 Data Plane Security Controls Virtual LAN (VLAN)-Based Attacks Mitigation Sp

Introduction to Diabetes (2-Day Course) - Norfolk ICB OnlyThis course is for those from the Norfolk ICB only using the unique booking code. Applicants not using this code nor Identifying themselves as Norfolk ICB employees will not be able to attend.Course Description:These two days of comprehensive training are designed for nurses, nurse associates, pharmacists, paramedics, and other Allied Healthcare Professionals (AHPs), and experienced healthcare assistants (HCAs) who are new to or fairly new to the field of diabetes care. If you've recently started seeing patients with diabetes, or are planning to; this course is tailored to provide you with the fundamental knowledge and skills required to confidently care for individuals with diabetes. The primary focus is on adults with Type 2 diabetes, although key recommendations and signposting for patients with Type 1 diabetes will also be covered.Diabetes presents a significant healthcare challenge, costing the NHS £10 billion each year and impacting patients and their families. Primary care professionals play a pivotal role in managing the ever-increasing numbers of people diagnosed with Type 2 diabetes. Good diabetes care is crucial and aligns with national and local policies supported by robust NICE guidance.These interactive days of learning will incorporate various methods, including case studies, to help you progress from basic knowledge to a more confident and positive approach in reviewing and managing patients with diabetes. 2 Day Introduction to diabetes management in primary care (This is intended to provide an overview the programme may change slightly) DAY ONE 09.15 Coffee and registration 09.30 Introduction and course objectives 09.45 Setting the scene - screening, diagnosis, prediabetes, patho-physiology and symptoms, remission in Type 2 diabetes 10.45 Coffee 11.00 Type 1 Vs Type 2 Diabetes 11.20 Metabolic Syndrome and Diagnostic Criteria 11.45 Diabetes Prevention Programme 12.15 Managing Diabetes in Primary Care and Supporting Lifestyle 12.30 Lunch 13.30 Pharmacological Management of Type 2 Diabetes 14.30 Methods for Monitoring Glucose 14.45 Diabetic Emergencies (hypos, HHS and DKA) 15.15 Sick Day Rules 15.30 Action plan, evaluation, and resources 15.45 Close DAY TWO 09.15 Coffee and registration 09.30 Review progress since Day 1 09.45 Macrovascular Complications 10.15 Modifiable Risk Factors leading to CVD 11.00 Coffee 11.20 Cholesterol & Hypertension Management 12.00 Microvascular Complications 12.30 Lunch 13.30 Diabetes and Emotional Wellbeing 14.30 Case Studies 15.30 Q&A, Evaluations 15.45 CloseKey Learning Outcomes for Both Days:Upon completing this course, participants will be able to:1. Explain the physiology of diabetes and differentiate between Type 1 and Type 2 diabetes.2. Discuss methods for diagnosing diabetes and provide information to individuals newly diagnosed with Type 2 diabetes.3. Describe approaches that support achieving remission in Type 2 diabetes.4. Explain basic advice related to a healthy diet, various dietary approaches, and carbohydrate awareness.5. Discuss the modes of action of commonly used non-insulin medications.6. Identify major complications that may arise in individuals with long-standing diabetes and measures to limit or prevent them.7. Describe key advice for patients regarding the recognition and appropriate treatment of hypoglycaemia.8. Discuss DVLA guidance concerning driving and diabetes.9. Explain the risks of acute hyperglycaemia and provide advice to patients on self-managing illness periods.10. Provide examples of referral pathways to other services such as weight management, secondary care, podiatry, structured education, activity, and psychological services.11. Describe the process of routine foot review and factors influencing diabetic foot risk status.12. Discuss local recommendations for the appropriate use of blood glucose and ketone monitoring.13. Explain the key components and processes of an annual diabetes review and a self-management plan.Join us for this comprehensive 2-day course via Zoom and enhance your ability to provide effective diabetes care within primary care settings.

Talent Management and Succession Planning,” the podcast where we explore the critical aspects of attracting and retaining top finance talen Talent management is the lifeblood of any organisation, and finance departments are no exception. In a competitive business landscape, attracting and retaining top finance talent can make a significant difference. Highly skilled and motivated professionals drive innovation, improve financial performance, and contribute to strategic decision-making. By investing in talent management, CFOs ensure their organisations have the right people in the right roles, which is vital for sustainable growth and success. Talent management also enables CFOs to build a culture of continuous learning and development. By nurturing the skills and capabilities of finance professionals, we create an environment that fosters innovation and adaptability. This is crucial in today’s rapidly changing business landscape, where finance teams need to keep pace with evolving technologies, regulations, and industry trends. Talent management provides a foundation for building a resilient and agile finance function. Succession planning is an integral part of talent management. How do CFOs approach succession planning, particularly in finance leadership roles? Succession planning is a proactive approach to ensure a smooth transition of leadership roles. CFOs need to identify high-potential individuals within their finance teams and provide them with opportunities for growth and development. This includes mentorship, training programs, and exposure to cross-functional experiences. By preparing a pipeline of future finance leaders, CFOs can mitigate the risks associated with unexpected departures or retirements, ensuring continuity and stability in finance leadership. Additionally, succession planning should encompass diversity and inclusion. CFOs recognize the importance of building diverse finance teams that reflect the broader talent pool. By providing equal opportunities for underrepresented groups and promoting inclusivity, we foster a culture of belonging and tap into a wider range of perspectives and ideas. Diverse teams drive innovation and improve decision-making, contributing to the overall success of the organisation. How do CFOs create a talent development culture within their finance teams, and what initiatives can be implemented to foster continuous growth? CFOs can create a talent development culture by prioritizing learning and development initiatives. This includes offering ongoing training programs, supporting professional certifications, and providing access to resources that enhance technical and soft skills. CFOs should encourage finance professionals to take ownership of their own development and provide opportunities for them to stretch their capabilities. This may involve cross-functional projects, exposure to different areas of the business, or participation in industry conferences and networking events. Additionally, mentorship and coaching programs play a crucial role in talent development. CFOs can pair experienced finance leaders with up-and-coming talent, fostering knowledge transfer, and providing guidance and support. Encouraging regular feedback and performance discussions helps finance professionals understand their strengths and areas for improvement, enabling targeted development plans. By creating a culture that values continuous learning and growth, CFOs empower their finance teams to reach their full potential. https://www.fdcapital.co.uk/podcast/talent-management-and-succession-planning/ Tags Online Events Things To Do Online Online Classes Online Business Classes #leadership #development #successionplanning #employees #talentmanagement

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

Resilience, stress and boundaries - essential skills for fundraisers Facilitated by Claire Warner Charity Culture, Wellbeing & Leadership Specialist Aimed at those working in fundraising and marcomms roles in UK hospices - - - Fundraising is tough. It’s emotionally demanding, fast-paced, and often unpredictable. To keep going, you need more than passion—you need resilience, stress management, and strong boundaries to protect your wellbeing. Join us for this interactive, practical workshop. You’ll learn: ✅ How to build resilience and stay steady under pressure ✅ The signs of stress and quick strategies to manage it ✅ How to set and maintain boundaries to prevent burnout This session isn’t just theory - we’ll share real-life tools, group discussions, and practical exercises to help you navigate the challenges of your role with confidence. - - - Claire Warner (she/her) is a Charity Culture, Wellbeing & Leadership Specialist. Before developing this specialism, Claire had 19 years working in the charity sector, including 10 years in Director / Senior Leader roles. But it was a period of significant unwellbeing (breast cancer) that led Claire to the career change. And it was in conducting a large piece of research into sector wellbeing, that Claire recognised this significant gap in provision and went on to create Lift. In 2020, Claire won the Best Digital Leader Award at the Social CEO Awards for her wellbeing work during the pandemic. In 2021, she curated the first Charity Workplace Wellbeing Summit and was named as one of Charity Times Magazine’s 20 Pandemic Pioneers. Claire lives in rural Lancashire with her husband, their two daughters, Rowan the dog and horses Maddie and Bernie.

Join me on Wednesday 18th May to discuss Staff Retention: We will share ideas and hopefully learn new ideas. We will explore the most effective ways to connect your team. Lets look at how leading in an emotionally Intelligent way can help retain staff.