37370 Courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Professional Scrum Master Foundation is appropriate for Scrum Masters and people who are interested in Scrum projects. It will be useful for: Product Owners Scrum Masters Developers Team Leaders Overview The emphasis of the training is the practical application of Scrum. The course gives various knowledge on the logic of Scrum and the way it functions. You will learn about the roles of all participants in a Scrum project. You will also learn about different challegnes you may encounter and how to resolve them. The Professional Scrum Master Foundations course is the perfect introduction, reboot or refresher to Scrum. This course is for teams or anyone wanting to experience the Scrum way of working. The case for Agility Learn about Agile Manifesto, values and principles and how can agile bring more value and manage risks compared with traditional delivery approaches. Scrum Framework Understand Scrum Framework and the life cycle of Scrum including the events, artifacts and roles and responsibilities. Running a Sprint Deep dive into each of the events and discuss user stories, estimations, groomings, Definition of Done and Definition of Ready and how can we deliver value incrementaly. The role of the Scrum Master How can you be a servant leader of your team and support different stakeholders engagement? ÿFacilitation, coaching and ensuring transparency. Backlog and estimations Learn the importance of Product backlog in Scrum, prioritization and estimations at different levels (ex: release; sprint) Working with people and teams We will discuss motivation, communication and clarity, giving feedback, team development and effective conflict resolution. Continuous Improvement Assist your team to improve both the means and ends of their work by supporting them in problem detection and resolution as well as foster the culture of continuous improvement.

Customers are astute and well-practised in researching and seeking information, solutions and added value in the minimum number of clicks online. There's only so much time they're willing to spend carrying on clicking. This mentality isn't just restricted to the world of B2C. In our increasingly hectic world, where information is expected to be available instantly, it applies just as much to B2B. In this workshop, we look at how putting yourself in the shoes of your customer and mapping their decision-making and buying journey is critical to ensuring that you provide what they perceive as fast solutions and added value. You will learn all about the three pillars for creating competitive brand experiences: Customer engagement planning puts you firmly in the shoes of your customer, helping you to build meaningful marketing communications delivered through the right resources at the right time to inspire your customers to engage with you. This programme will help participants to: Understand the evolution of the customer buying journey Map a customer buying journey for your brand or solutions Understand the customer micro-moments and signals indicating interest and buying intent, both online and offline Apply the psychology of branding to build marketing communications with impact Develop sales and marketing content that differentiates your brand(s) from the competition by demonstrating unique value and how you can meet your customer's needs 1 The evolution of the customer journey Understand how the use of mobile has had an impact on the customer buying journey where today's customers can research and compare products and solutions whenever and wherever they like, making the purchase journey even less linear Explore how marketers are adapting to this new customer behaviour and drawing upon various strategies to win the hearts and minds of their audiences 2 The See-Think-Do-Care framework Explore the many different frameworks used to track the customer journey Understand and apply the modern marketing model, where the internet has enabled the customer to hop between multiple touchpoints before making a purchase decision 3 Customer micro-moments and signals in their buying journey Understand the online and offline moments when customers seek information to research and make buying decisions Apply this understanding to build a marketing communication plan to reach customers at all stages of their buying journey 4 The role of branding in the customer journey Explore the psychology of branding Learn how to ensure your branding is relevant to your target customer needs Bring together your brand value and story to achieve brand loyalty 5 The Why-How-What framework Apply a systematic approach to build a successful and compelling brand Understand how starting with 'why' will help build your brand purpose Apply the content marketing matrix to communicate your brand's value Apply the hero-help-hub model to build engaging content marketing Actionable outcomes We will use your brand examples to provide opportunities for practice: You will learn and reflect on best practice examples of customer engagement You will discover your brand value, purpose and the 'sweet spot' to drive engagement with your customers You will create a customer engagement plan that can be implemented immediately within your business You will receive immediate feedback on your customer engagement plan You will have the opportunity to share common issues and solutions with your colleagues in the group

Duration 1 Days 6 CPD hours This course is intended for This course is designed for a non-technical audience and doesn't require any prior coding or technical experience. The handson exercises will be done using pre-built OpenAI tools and interfaces that are user-friendly and easy to use. Overview Working in an interactive learning environment, led by our engaging expert, you will: Get comfortable with the basics of prompt engineering and discover how it can make a difference in various business tasks, such as enhancing customer support, creating content, and fine-tuning sales pitches. Develop the knack for crafting, refining, and perfecting prompts suited to specific business situations by understanding context, user intent, and what makes a prompt great. Learn how to smoothly incorporate prompt engineering solutions into your existing business workflows, including pinpointing the right processes, integrating with your current software, and keeping data privacy and security in check. Become proficient in advanced techniques and best practices in prompt engineering, like making use of APIs, customizing language models, and collaborating with your teammates across different departments. Keep up with the latest developments in prompt engineering and be ready to adapt to changing business needs and trends, ensuring that you stay relevant and continue to grow in the dynamic business world. Prompt engineering is the process of designing and refining input prompts to get desired output from advanced language models, such as OpenAI Codex or GPT-4. It involves creating effective questions or statements that guide the AI model to generate useful responses for a specific task or purpose, like enhancing customer support, generating content, and fine-tuning sales pitches, making it an essential skill set for a wide range of business applications. Quick Start to Prompt Engineering for Everyday Business Users is a one-day, workshop style hands-on course that where you'll learn how to create effective prompts, integrate prompt engineering solutions into existing workflows, and uncover advanced techniques and best practices. Guided by our engaging, expert instructor, you?ll experiment with innovative tools and develop practical skills that can be immediately applied to a variety of projects. Whether you're aiming to enhance customer interactions, simplify content creation, or refine internal communication, this immersive learning experience will equip you with the knowledge to make a meaningful impact on your organization. Introduction to Prompt Engineering Understand the fundamentals of prompt engineering and its applications in the business world. What is prompt engineering? Importance of prompt engineering in business Key concepts and terminology Examples of prompt engineering in business scenarios Overview of popular prompt engineering tools (e.g., OpenAI Codex, GPT-4) Activity: Hands-on exploration of prompt engineering tools: Participants will engage in a fun scavenger hunt activity, where they will experiment with different prompt engineering tools to answer a set of questions. Developing Effective Prompts Learn how to create and refine prompts for a variety of business applications. Anatomy of a good prompt Understanding context and user intent Techniques for prompt iteration and optimization Generating specific and creative responses Handling sensitive information and biases Activity: Prompt development workshop: Participants will practice developing and refining prompts in a collaborative, game-like environment, where they will compete to create the most effective prompts for given business scenarios. Integrating Prompt Engineering into Business Processes Discover how to incorporate prompt engineering solutions into existing workflows. Identifying business processes that can benefit from prompt engineering Integrating prompt engineering with existing software and tools Evaluating the success and impact of prompt engineering solutions Ensuring data privacy and security Scaling prompt engineering solutions across an organization Activity: Business process integration simulation: Participants will work in teams to create a plan for integrating a prompt engineering solution into a simulated business process, with a focus on creativity and practicality. Advanced Techniques and Best Practices Gain insights into advanced techniques and best practices for prompt engineering in a business context. Leveraging APIs for prompt engineering Customizing and fine-tuning language models Adapting to changing business requirements and trends Collaborating with cross-functional teams Staying up-to-date with prompt engineering advancements Activity: Advanced prompt engineering challenge: Participants will take part in a friendly competition, using advanced techniques to solve complex business-related prompt engineering challenges. Additional course details: Nexus Humans QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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 QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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.

Duration 4 Days 24 CPD hours This course is intended for Administrators, architects, and business leaders who manage Nutanix clusters in the datacenter Managers and technical staff seeking information to drive purchase decisions Anyone who is seeking the Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI) certification Overview During this program, attendees will: Develop a working knowledge of the Nutanix product family. Understand the requirements and considerations involved in setting up a Nutanix cluster. Familiarize themselves with cluster management and monitoring via the Prism web console. Learn how to create, manage, and migrate VMs, set up data protection services, and plan for business continuity. Understand how to plan and handle upgrades, assess future requirements, and create what-if scenarios to adress scaling for business needs. The Nutanix Enterprise Cloud Administration (ECA) course enables administrators (system, network, and storage) to successfully configure and manage Nutanix in the datacenter. The course covers many of the tasks Nutanix administrators perform through the use of graphical user interfaces (GUIs) and command line interfaces (CLIs). It also provides insight into a Nutanix cluster?s failover and self-healing capabilities, offers tips for solving common problems, and provides guidelines for collecting information when interacting with Nutanix Support Introduction The section describes the Nutanix HCI solution, walks you through the components of the Nutanix Enterprise Cloud, and explains the relationship between physical and logical cluster components. Managing the Nutanix Cluster In this section, you will use the Prism console to monitor a cluster, configure a cluster using various interfaces, use the REST API Explorer to manage the cluster, and learn how to deploy Nutanix-specific PowerShell cmdlets. Securing the Nutanix Cluster This section shows how to secure a Nutanix cluster through user authentication, SSL certificate installation, and cluster access control. Acropolils Networking This section explains how to configure managed and unmanaged Acropolis networks and describes the use of Open vSwitch (OVS) in Acropolis. You will learn how to display and manage network details, differentiate between supported OVS bond modes, and gain insight into default network configuration. VM Management This section shows you how to upload images, and how to create and manage virtual machines. Health Monitoring and Alerts In this section, you will use the Health Dashboard to monitor a cluster?s health and performance. You will also use Analysis Dashboard to create charts that you can export with detailed information on a variety of components and metrics. Distributed Storage Fabric This section discusses creating and configuring storage containers, including the storage optimization features: deduplication, compression, and erasure coding. AHV Workload Migration Using Nutanix Move, this section shows how to migrate workloads to a cluster running AHV. This is followed by a lab where a VM running on a Nutanix cluster configured with ESXi is migrated to a Nutanix cluster running AHV. File and Volumes This section gives you detailed information on Nutanix Volumes, which provides highly available, high-performance block storage through a few easy configuration steps. It also discusses Nutanix Files. Understanding Infrastructure Resiliency This section shows how Nutanix provides comprehensive data protection at all levels of the virtual datacenter: logical and physical. Data Protection Data can be replicated between Nutanix clusters, synchronously and asynchronously. This section shows how to configure a Protection Domain (PD) and Remote Sites, recover a VM from a PD, and perform a planned failover of a PD. Prism Central Having discussed and used Prism Element earlier, this section looks at the capabilities of Prism Central. With the added functionality provided by a Pro license, the focus is on features related to monitoring and managing multiple activities across a set of clusters. Monitoring the Nutanix Cluster This section shows you where to locate and how to interpret cluster-related log files. In addition, you will take a closer look at the Nutanix Support Portal and online help. Cluster Management and Expansion This section outlines essential life-cycle operations, including starting/stopping a Nutanix cluster, as well as starting/shutting down a node. You will also learn how to expand a cluster, manage licenses, and upgrade the cluster?s software and firmware. Remote Office Branch Office (ROBO) Deployments In this section, you will understand various configurations and requirements specific to a ROBO site. This includes hardware/software, Witness VM, networking, failure and recovery scenarios for two-node clusters, and the seeding process. Additional course details: Nexus Humans NECA: Nutanix Enterprise Cloud Administration 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 NECA: Nutanix Enterprise Cloud Administration 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.

An online mental health awareness training course that is designed to support you to have confident conversations with xxxx,xxxxx & colleagues who have and are showing early signs and symptoms of mental health problems.

The learning objectives that we believe you require to be covered within the training include: A detailed understanding of the CDM 2015 Regulations and how they should work in practice An understanding of the key roles (Designer, Principal designer, contractor, principal contractor and client) under CDM 2015 What constitutes design and when you may be acting as a designer The requirements for notification Pre construction information, the construction phase plan and the H&S file An opportunity for delegates to ask questions and gain clarification on specific project requirements 1 Introduction Why manage health and safety? The costs of accidents Construction industry statistics Why CDM 2015? 2 Overview of health and safety law and liabilities Criminal and civil law Liability Enforcement and prosecution Compliance - how far do we go? Statutory duties 3 Health and safety law in construction - the current framework Framework of relevant legislationHealth and Safety at Work etc Act 1974Management of Health and Safety at Work Regulations 1999Construction (Design and Management) Regulations 2015Work at Height Regulations 2005 Who is responsible for the risks created by construction work? Shared workplaces/shared responsibilities Control of contractors - importance of contract law 4 CDM 2015 - the principles and current best practice Scope - what is construction? Application - when do the Regulations apply? The CDM management systemDutyholders (client, designer, principal designer, principal contractor, contractor)Documents (pre construction information, Notification, construction phase Plan, H&S File)Management process The 2015 HSE guidance / industry best practice Clarification of roles and responsibilities 5 Competence under CDM 2015 What is 'Competence'? The criteria to be used in construction Achieving continuous improvement 6 Part 4 Construction Health Safety and Welfare Overview of Part 4 Responsibilities Welfare arrangements 7 Risk assessment and the role of the designer Principles of risk assessment Loss prevention / hazard management What is a suitable risk assessment?Design v construction risk assessmentThe client is a designer?Whose risk is it? 8 Risk assessment exercise Understanding the principles of design risk assessment Identifying hazards under the control of clients and designers Quantifying the risk 9 Questions, discussion and review

Duration 1 Days 6 CPD hours This course is intended for This course is intended for hiring managers who want to save company time and money recruiting and hiring the right candidates. Overview Upon successful completion of this course, participants will know how to present an open position, develop a workable hiring strategy, know how to find and select candidates for open positions. In this course, participants will gain skills and tools to help seek out great candidates that are a fit for your company. Learn to find the diamond in the rough. Getting Started Workshop Objectives Action Plan Defining and Knowing the Position Know the Position Needs Analysis Job Analysis Task Analysis Practical Illustration Hiring Strategy Company Information Salary Range Top Performers Be Prepared Practical Illustration Lure in Great Candidates Advertise Where Candidates Visit Develop Corporate Citizenship Treat Your Candidates Well Look at the Competition Practical Illustration Filtering Applicants to Interview Put Lots of Weight on Cover Letters Grading Resumes Internet Search Initial Phone Interview Practical Illustration The Interview (1) Introduce Everyone Use a Panel Match the Interview to the Job Types of Questions Practical Illustration The Interview (2) Tell Me About My Company Distractions Interview More Than Once Wrap Up Practical Illustration Selection Process (1) Testing Look for Passion and Enthusiasm Background Checks Trust Your Instincts Practical Illustration Selection Process (2) Education Level vs. Experience Have a Consensus Keep Non-Hires on File Checking References Practical Illustration Making an Offer Do it Quickly Employment Details Notify Rejected Candidates Be Creative Practical Illustration Onboarding Training and Orientation Mentoring 30-60-90 Day Reviews Make Them Feel Welcome Practical Illustration Wrapping Up Words From the Wise

This programme provides an intensive, two-day overview of the key elements of operations management, including an array of practical tips and tools to help managers be more proactive and effective in the operations management environment - whether that's in an industrial manufacturing context or in operational leadership in the service sectors. At the end of the programme, participants will: Understand the 6Cs approach to operations management Be able to apply a range of practical tools and techniques to improve their personal effectiveness towards being a more effective operations manager Be able to prepare an action plan for the critical first (or next) 100 days in their operational leadership role 1 Introduction What is Operations Management and where does it fit in? What makes a successful Operations Manager? Introducing the 6Cs of Operations Management 2 Context Link to business strategy Making a year plan Performance measurement 3 Controls Governance Reputational controls Costs and budgets Quality Operational 4 Customers Internal External Stakeholder management 5 Communication Planning Meetings Reporting Emails Notices Networking Walking the talk 6 Care People Safety, Health, Environment & Security Assets 7 Continuous improvement Process Product Proactivity Link to KPIs and Year Plan 8 Putting it all together Action planning for the first (or next) 100 days Conclusions

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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.

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.