19 Hiring courses in St Albans delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for New managers wanting to become skilled in their management roles will benefit from this course Overview Describe the roles that a manager has in an organization Identify and nurture talent in your team Build a management vision for success Create strategies to motivate and empower your team Combine leadership qualities and influence skills to motivate your team Plan and manage effective meetings In this course, students will learn how to confidently acquire and build these skills through relevant discussions, team and individual activities. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. The Manager\'s Role Distinguishing a Manager\'s Role from Function Understanding Interpersonal, Informational, and Decision Roles 2. Building a Shared Vision Defining a Shared Vision Building a Strong Vision Creating and Communicating a Vision Statement Identifying Benefits of Your Vision 3. Leadership and Influence Identifying the Characteristics and Qualities of a Leader Modeling the Way and Enabling Others to Act Encouraging Your Inner Innovator and Mastering the Art of Persuasion Creating Mutual Respect Effectively Communicating and Reasoning with Others 4. Nurturing Talent Calibrating Talent Finding and Nurturing the Attributes that Meet Your Requirements Articulating Culture and Hiring for a Cultural Fit Looking to the Future - Developing and Executing a Plan Succession Planning Creating and Fostering Employee Engagement Coaching, Training, and Development 5. Delegation and Empowerment Working with Workgroups and Teams Delegating Progress Tracking and Reviewing Results 6. Building a Better Meeting Planning and Preparing a Meeting Identifying Proper Participants Creating an Agenda Evaluating the Use of Technology Additional course details: Nexus Humans Evolving into the Manager Role training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Evolving into the Manager Role course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management

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.

Duration 3 Days 18 CPD hours This course is intended for This course is most suited for IT professionals who have a need to understand the current requirements and core competences for managing IT in mission-critical environments. Overview After completion of the course the participant will be able to: 1. Provide guidance and implementation for IT strategy as set by senior IT and business management 2. Select and manage staff, implement training programs, career plan development and job rotation programs 3. Select, evaluate and negotiate vendors using RFI, RFP and selection criteria 4. Provide guidance for developing, testing and implementing business applications 5. Manage and/or assist in IT project management 6. Design and implement service management processes for incident, problem and change management 7. Understand the need for business continuity and design the business continuity plan 8. Review and implement information security practices and controls 9. Assist and initiate risk management practices 10. Understand and select new technologies such as cloud computing, big data, Internet of Things and social media to support business change demands 11. Select strategies for information management 12. Measure and improve quality of IT services CITS is designed to teach the skills, knowledge and competencies required of the modern IT specialist working at the senior professional, team-leader, supervisor or management level in IT management. IT Strategy The need for Information Technology Enterprise architecture Service catalogue Service level management Sustainable development IT Organisation Personnel need Roles and responsibilities Sourcing Selection process Hiring staff Managing staff Career planning Training / job rotation Performance appraisal Staff departures Vendor Selection / Management The importance of vendors Vendor selection Request For Information (RFI) Request For Proposal (RFP) Proposal evaluation Vendor reference checks Contract negotiation Contract management Vendor management Re-compete vendors Project Management Methodologies Project organisation Starting up / initiating Planning / initiation a project Risk Quality Scope Work / Product Breakdown Structure PERT diagram / Gantt chart Cost Communication Application Management Software Development Life Cycle (SDLC) Software Quality Assurance (SQA) Requirements Development Testing Adoption (implementation) Maintenance Service Management Incident management Problem management Change management Business Continuity Management Standards and guidelines Objectives Context Interested parties Scope Roles and responsibilities Resources and competences Awareness and communication Documentation Business Impact Analysis Risk Management Guidelines Context establishment Identification Analysis Evaluation Treatment Communication Monitoring and control Information Security Management Standards Confidentiality Integrity Availability Controls types Guideline for controls selection Control categories Information security awareness Security incident response Information and Knowledge Management Information management Data management Information management - technologies Business intelligence Data management - technologies Best practices in data governance Pitfalls in data governance Business Change Management Business change Frameworks, models and techniques Needs identification Cloud computing Social media / digital marketing Big data Internet of Things (IoT) Quality Management Standards, guidelines and frameworks Objectives Activities Services review Customer feedback Customer survey Key Performance Indicators (KPI) Metrics Scorecards and reports Quality register Exam Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 3 Days 18 CPD hours This course is intended for The target audience for the DevSecOps Practitioner course are professionals including: Anyone focused on implementing or improving DevSecOps practices in their organization Anyone interested in modern IT leadership and organizational change approaches Business Managers Business Stakeholders Change Agents Consultants DevOps Practitioners IT Directors IT Managers IT Team Leaders Product Owners Scrum Masters Software Engineers Site Reliability Engineers System Integrators Tool Providers Overview After completing this course, students will be able to: Comprehend the underlying principles of DevSecOps Distinguish between the technical elements used across DevSecOps practices Demonstrate how practical maturity concepts can be extended across multiple areas. Implement metric-based assessments tied to your organization. Recognize modern architectural concepts including microservice to monolith transitions. Recognize the various languages and tools used to communicate architectural concepts. Contrast the options used to build a DevSecOps infrastructure through Platform as a Service, Server-less construction, and event-driven mediums Prepare hiring practices to recognize and understand the individual knowledge, skills, and abilities required for mature Dev Identify the various technical requirements tied to the DevSecOps pipelines and how those impact people and process choices. Review various approaches to securing data repositories and pipelines. Analyze how monitoring and observability practices contribute to valuable outcomes. Comprehend how to implement monitoring at key points to contribute to actionable analysis. Evaluate how different experimental structures contribute to the 3rd Way. Identify future trends that may affect DevSecOps The DevSecOps Practitioner course is intended as a follow-on to the DevSecOps Foundation course. The course builds on previous understanding to dive into the technical implementation. The course aims to equip participants with the practices, methods, and tools to engage people across the organization involved in reliability through the use of real-life scenarios and case stories. Upon completion of the course, participants will have tangible takeaways to leverage when back in the office such as implementing DevSecOps practices to their organizational structure, building better pipelines in distributed systems, and having a common technological language. This course positions learners to successfully complete the DevSecOps Practitioner certification exam. DevSecOps Advanced Basics Why Advance Practices? General Awareness People-Finding Them Core Process Technology Overview Understanding Applied Metrics Metric Terms Accelerating People-Reporting and Recording Integrating Process Technology Automation Architecting and Planning for DevSecOps Architecture Basics Finding an Architect Reporting and Recording Environments Process Accelerating Decisions Creating a DevSecOps Infrastructure What is Infrastructure? Equipping the Team Design Challenges Monitoring Infrastructure Establishing a Pipeline Pipelines and Workflows Engineers and Capabilities Continuous Engagement Automate and Identify Observing DevSecOps Outcomes Observability vs. Monitoring Who gets which Report? Setting Observation Points Implementing Observability Practical 3rd Way Applications Revisiting 3rd Way Building Experiments Getting the Most from the Experiment The Future of DevOps Looking Towards the Future Staying Trained Innovation What, and from Who? Post-Class Assignments/Exercises Extended advanced reading associated with Case Stories from the course Additional course details: Nexus Humans DevSecOps Practitioner (DevOps Institute) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DevSecOps Practitioner (DevOps Institute) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

The candidate journey is the process job applicants go through when interacting with Noble Foods. It encompasses every interaction in person and online, from the moment a candidate first becomes aware of us to the final hiring decision – and even beyond. You play a key role in the successful recruitment of new starters. It’s important that you have the skills to navigate all stages of the recruitment process to give the candidates the best experience, hire top talent and ensure we remain legally compliant. What does the course cover? What is the candidate journey and why is it important? The role of the line manager Legal Compliance The Noble Foods Candidate Journey How to fill out a Requisition How to post a job Selection Process Interviews Flexible Working Requests

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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