425 Engineering courses in Kimberley delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java

Assuring Quality Through Acceptance Testing: Virtual In-House Training It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. It is the business analyst's job to define the business problem to be solved by IT. It is also the business analyst's responsibility to confirm that the resulting solution developed by IT does, in fact, solve the defined problem. This is done first through testing, especially acceptance testing, and then through monitoring of the installed solution in the user community. The business analyst is not only concerned with the testing itself, but also with the management and monitoring of the users doing the acceptance testing, and recording, analyzing, and evaluating the results. What you will Learn Upon completion, participants will be able to: Create a set of acceptance test cases Manage and monitor an acceptance test stage where users perform the testing Work with the development team in the systems testing stage Assess the solution once it is in the business environment Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide BA roles and relationships through the project life cycle Introduction to assuring software quality through acceptance testing The Scope of IT Testing Overview of testing stages The testing process Testing documentation Pre-Acceptance Testing The BA's role in testing Early development testing stages (unit and integration) Late development testing stage (system) The Acceptance Test Stage - Part I (Planning, Design, and Development) Overview of user acceptance testing Acceptance test planning Designing user acceptance tests Developing individual user acceptance test cases Building effective user acceptance test scenarios The Acceptance Test Stage - Part II (Execution and Reporting) Operating guidelines Execution Reporting Post-Acceptance Testing Overview Project implementation Project transition (project closure) Production through retirement Testing Commercial Off-the-Shelf (COTS) Software Overview Selecting the software Implementing the software Summary What did we learn and how can we implement this in our work environments?

Duration 5 Days 30 CPD hours This course is intended for System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Describe the Cisco SD-WAN solution and how modes of operation differ in traditional WAN versus SD-WAN Describe options for Cisco SD-WAN cloud and on-premises deployment Explain how to deploy WAN Edge devices Review the Zero-Touch Provisioning (ZTP) process and examine technical specifics for on-premises deployment Review the device configuration template and describe new features of device configuration templates Describe options for providing scalability, high availability, and redundancy Explain how dynamic routing protocols are deployed in an SD-WAN environment, on the service side and transport side Describe Cisco SD-WAN policy concepts, which includes how policies are defined, attached, distributed, and applied Define and implement advanced control policies, such as policies for custom topologies and service insertion Identify and implement advanced data policies, such as policies for traffic engineering and QoS Define and implement an Application-Aware Routing (AAR) policy Implement Direct Internet Access (DIA) and Cisco SD-WAN Cloud OnRamp options Describe Cisco SD-WAN security components and integration Describe how to design pure and hybrid Cisco SD-WAN solutions, as well as how to perform a migration to Cisco SD-WAN Describe Cisco SD-WAN Day-2 operations, such as monitoring, reporting, logging, troubleshooting, and upgrading Describe Cisco SD-WAN support for multicast The Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 course gives you training about how to design, deploy, configure, and manage your Cisco© Software-Defined WAN (SD-WAN) solution in a large-scale live network, including how to migrate from legacy WAN to SD-WAN. You will learn best practices for configuring routing protocols in the data center and the branch, as well as how to implement advanced control, data, and application-aware policies. The course also covers SD-WAN deployment and migration options, placement of controllers, how to deploy WAN Edge devices, and how to configure Direct Internet Access (DIA) breakout. The course looks at the different Cisco SD-WAN security options available, such as application-aware enterprise firewall, Intrusion Prevention System (IPS), URL filtering, Cisco Advanced Malware Protection (AMP), Secure Sockets Layer/Transport Layer Security (SSL/TLS) proxy, and Cisco Umbrella© Secure Internet Gateway (SIG). This course helps you prepare to take the Implementing Cisco SD-WAN Solutions (300-415 ENSDWI) exam which is part of the CCNP© Enterprise certification. You will also earn 32 Continuing Education (CE) credits toward recertification. Course outline Examining the Cisco SD WAN Architecture Examining Cisco SD-WAN Deployment Options Deploying WAN Edge Devices Onboarding WAN Edge Devices with ZTP and PnP Using Device Configuration Templates Exploring Redundancy, High Availability, and Scalability Enabling Service-Side and Transport-Side Routing Understanding Cisco SD-WAN Policy Configuration Basics Defining Advanced Control Policies Implementing AAR Examining Direct Internet Access and Cloud Deployment Options Exploring Cisco SD-WAN Security Designing and Migrating to Cisco SD-WAN Performing Cisco SD-WAN Network Management and Troubleshooting Examining Cisco SD-WAN Multicast Support Lab outline Deploy Cisco SD-WAN Controllers Add a WAN Edge Router Using ZTP Deploy Cisco SD-WAN Device Using Configuration Templates Configure Cisco SD-WAN Controller Affinity Implement Service Side Routing Protocols Implement Transport Location (TLOC) Extensions Implement Control Policies Implement Data Policies Implement Application-Aware Routing Implement Branch and Regional Internet Breakouts Migrate Branch Sites Perform Cisco SD-WAN Software Upgrade Additional course details: Nexus Humans Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 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 Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 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.

This Renewables Technical Surveying training short two day course is specifically designed for individuals and companies that want to train themselves and their staff on exactly how to carry out Renewables Technical Site Surveying prior to any renewables installation measures, this includes for heating systems, solar systems and EV Charge point installations. The course is primarily aimed at Energy Suppliers, Equipment Manufacturers, Renewable Installers, Domestic Energy Assessors, Retrofit Assessors, Retrofit Co-ordinators, Renewables sales staff and suitable individuals with a basic level of knowledge in varying building structures, heating systems and varying renewable technologies.

This Renewables Technical Surveying training short two day course is specifically designed for individuals and companies that want to train themselves and their staff on exactly how to carry out Renewables Technical Site Surveying prior to any renewables installation measures, this includes for heating systems, solar systems and EV Charge point installations. The course is primarily aimed at Energy Suppliers, Equipment Manufacturers, Renewable Installers, Domestic Energy Assessors, Retrofit Assessors, Retrofit Co-ordinators, Renewables sales staff and suitable individuals with a basic level of knowledge in varying building structures, heating systems and varying renewable technologies.

The Electronics Equipment Repair 1 equips participants with practical “Hands-On” skills relevant to the workplace and the theory required for certification. Participants on successful completion of the course will have the skills and knowledge to: Demonstrate the operation of a wide range of electronic components and circuits and their applications in modern electronic-based equipment such as amplifiers, Hi-Fi systems, stereos, and control systems Construct, test and fault-find the following popular basic circuits: Power supplies, amplifiers, timers, etc. Become competent in the correct use of electronic test and measurement equipment such as Analogue and Digital Multimeter and Oscilloscopes.

Duration 70 Days 420 CPD hours Cisco Learning Library: Networking offers a subscription to all Cisco core online networking training, including product training, technology training, and certifications such as Cisco Routing and Switching, Wireless, Design, and Network Programmability.This comprehensive technical training library includes full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials. Networking Library Certification Courses CCNA Implementing and Administering Cisco Solutions (CCNA) v1.0 CCNP Enterprise Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Implementing Cisco Enterprise Advanced Routing and Services (ENARSI) v1.0 Implementing Cisco SD-WAN Solutions (SDWAN300) v1.0 Designing Cisco Enterprise Networks (ENSLD) v1.0 Designing Cisco Enterprise Wireless Networks (ENWLSD) v1.0 Implementing Cisco Enterprise Wireless Networks (ENWLSI) v1.1 Implementing Automation for Cisco Enterprise Solutions (ENAUI) v1.0 CCIE Enterprise Infrastructure Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 CCIE Enterprise Wireless Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Product and Technology Training Implementing and Administering Cisco Solutions (CCNA) v1.0 Developing Applications and Automating Workflows Using Cisco Core Platforms (DEVASC) v1.0 Developing Applications Using Cisco Core Platforms and APIs (DEVCOR) v1.0 Developing Solutions Using Cisco IoT and Edge Platforms (DEVIOT) v1.0 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) v1.0 Developing Applications for Cisco Webex and Webex Devices (DEVWBX) v1.0 Implementing Automation for Cisco Enterprise Solutions (ENAUI) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Implementing Automation for Cisco Security Solutions (SAUI) v1.0 Implementing Automation for Cisco Service Provider Solutions (SPAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Cisco Certified Technician Supporting Cisco Routing and Switching Network Devices (RSTECH) v3.0 Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 Implementing Cisco Enterprise Advanced Routing and Services (ENARSI) v1.0 Implementing Cisco SD-WAN Solutions (SDWAN300) v1.0 Designing Cisco Enterprise Networks (ENSLD) v1.0 Implementing Cisco Enterprise Wireless Networks (ENWLSI) v1.1 Cisco NCS 2000 Deploying 96-Channel Flex Spectrum (OPT201) v3.0 Cisco Digital Network Architecture Implementation Essentials (DNAIE) v2.0 Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) v1.0 Engineering Cisco Meraki Solutions Part 1 (ECMS1) v1.0 Deploying Cisco SD-Access (ENSDA) v1.1 Cisco SD-WAN Operation and Deployment (ENSDW) v1.0 Introduction to Cisco IOS XR (IOSXR100) v2.0 Cisco IOS XR System Administration (IOSXR200) v1.1 Cisco IOS XR Basic Troubleshooting (IOSXR201) v1.1 Cisco ASR 9000 Series IOS XR 64-Bit Software Migration and Operational Enhancements (IOSXR211) v1.0 Cisco IOS XR Layer 3 VPN Implementation and Verification (IOSXR301) v1.1 Cisco IOS XRMulticast Routing Implementation and Verification (IOSXR302) v1.1 Cisco IOS XR Broadband Network Gateway Implementation and Verification (IOSXR304) v1.0 NSO Essentials for Programmers and Network Architects (NSO201) v3.0 Cisco NSO Administration and DevOps (NSO303) v3.0 Cisco Optical Technology Advanced (OPT300) v2.0 Implementing Segment Routing on Cisco IOS XR (SEGRTE201) v2.0 Operating and Implementing Cisco WAN Automation Engine (WAE200) v3.0 Implementing Cisco Virtual Wide Area Application Services (VWAAS) v1.0 Configuring and Operating Cisco EPN Manager (EPNM100) v3.0 Cisco Elastic Services Controller (ESC300) v2.0 Product and Technology Training Deploying Cloud Connect Solutions with Cisco Cloud Services Router 1000V (CLDCSR) v1.0 Implementing Cisco Multicast (MCAST) v2.0 Cisco Prime Central Intermediate ? Administration and Operations (CPCI-AO) v1.0 Cisco Prime Network Intermediate ? Administration and Operation (CPNI-AO) v1.1 Cisco Prime Provisioning (CPP) v6.5 Cisco Prime Performance Manager (CPPERF) v1.0 Implementing Cisco Catalyst 9000 Switches (ENC9K) v1.0 Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE) v6.0 Network Convergence System 5500 Series Router (NCS5500HW) v1.0 Cisco DNA Center Fast-Start Use Cases (A-SDA-FASTSTART) Getting Started with DNA Center Assurance (A-DNAC-ASSUR) v1.0 Overview of Cisco DNA Center Fast Start Use Cases for System Engineers (P-SDA-SYSEF) Planning and Deploying SD-Access Fundamentals (For Customers) (CUST-SDA-FUND) v1.0 Preparing the Identity Services Engine (ISE) for SD-Access (For Customers) (CUST-SDA-ISE) v1.0 SD-Access 1.2 Update Supplement (A-SDA-12UPDT) The SD-WAN Mastery Collection - Getting Started (For Customers) v1.0 (A-SDW-START) The SD-WAN Mastery Collection - Deploying the Data Plane (For Customers) v1.0 (A-SDW-DATPLN) The SD-WAN Mastery Collection - Developing the Overlay Topology (For Customers) v1.0 (A-SDW-OVRLAY) The SD-WAN Mastery Collection - Managing the Application Experience (For Customers) v1.0 (A-SDW-APPEXP) The SD-WAN Mastery Collection - Bringing Up the Control Plane Devices (For Customers) v1.0 (A-SDW-CTRPLN) Securing Branch Internet and Cloud Access with Cisco SD-WAN (A-SDW-BRSEC) Programming for Network Engineers (PRNE) v1.0 Cisco Optical Technology Intermediate (OPT200) v2.0 Advanced Implementing and Troubleshooting MPLS VPN Networks (AMPLS) BGP Bootcamp (BGP) Building Core Networks with OSPF, IS-IS, BGP and MPLS Bootcamp (BCN) Configuring BGP on Cisco Routers (BGP) v4.0 Implementing Cisco MPLS v3.0 Internetworking Technology Overview (ITO) Introduction to IP Multicast Bootcamp Introduction to IPsec VPN Bootcamp (IPsec VPN) Introduction to IPv6 Bootcamp (IPv6) Introduction to MPLS-VPN Bootcamp (MPLS-VPN) LAN Switching Bootcamp (LAN-SW) RP Bootcamp Troubleshooting for Network Support Engineers

Develop the commercial awareness, financial knowledge and strategic thinking capabilities, to influence the direction of the business Course overview Duration: 2 days (13 hours) This course is aimed at managers who want to develop their commercial awareness, financial knowledge and strategic thinking capabilities, so that they can influence the direction of their business and deliver to their full potential. Day one of the course provides the skills and insights to make sense of your company’s financial position and performance. Day two helps delegates to consider the strategic thinking tools required to plot the forward course needed to maximise the potential of the business. As well as looking at how to make effective business decisions, this course gives a good grounding in finance and profitability. As a two day programme, day one provides the skills and insights to make sense of the company’s financial position and performance. Day two then considers the strategic thinking tools needed to plot the forward course needed to maximise the potential of the business. Objectives By the end of the course you will be able to: An understanding of the balance sheet, profit and loss account, cash flow and statutory and management accounts Learnt to correctly employment key financial ratios to analyse your business A practical definition of strategy analysis tools to examine the current environment and capabilities Steps to devise a mission and vision statement Recognition of the skills and resources needed to achieve the vision Generation of appropriate strategic and tactical commercial objectives Content What is Strategy Defining Strategy Strategic thinking Strategic models Commercial thinking – what is money? Where are we now STEEPLE analysis SWOT Analysis P&E forces at work Political distortions in capitalist markets Where are we trying to get to Setting the mission and vision Creating a BHAG Strategies for deflation and inflation The role of banks Commercial and investment banking Fractional reserving Securitisation How to get there Skill gap analysis Business Process Re engineering The role of creativity How to get there Getting the team on board Individual and team motivation The power of the brand Overcoming challenges Debt and deleveraging Change management Creating value Discounted Cash Flows Building the business case Asset Valuation techniques Making it happen Turning Strategic Thinking into Strategic Plans Scenario planning for an uncertain future Creating commitments and lock in Discussion and review Time will be set aside during the course for review sessions with time for questions, answers and action learning.

About this Virtual Instructor Led Certificate Training Course (VILT) Asset maintenance and equipment reliability teams play a significant role to ensure that there is no room for downtime and losses in production. They are often recognised for their contribution and ability to keep assets running productively in today's organisations. The Certificate in Asset Management Virtual Instructor Led Training (VILT) course will provide those involved in Asset Management with a full explanation of the key processes to manage assets across their lifecycle. This recognised VILT course has been designed to equip participants with practical skills to take back to work. This VILT course enables participants to ensure their organisation's assets are realising their full value in support of the organisation's objectives. Accredited by the Institute of Asset Management (IAM), this VILT course will prepare participants to sit for the IAM Asset Management Certificate qualification. The IAM exam is offered as an option for participants of this VILT course. Training Objectives By the end of this VILT course, participants will be able to: Understand the key principles, tools and terminology of Asset Management, and demonstrate how it will benefit your organisation Gain familiarity in the application of ISO 55000 in practice Access a range of models that will support the implementation of asset management in your organisation Assess your understanding of the current tools and concepts applied in Asset Management Capture new ideas and skills that will enhance performance and be better prepared for the Institute of Asset Management (IAM) Certificate Examination Target Audience This VILT course will benefit maintenance managers, operations managers, asset managers and reliability professionals, planners and functional specialists. It will also be useful for facilities engineers, supervisors/managers and structural engineers/supervisors/ and managers. IAM Qualifications Syllabi This document details the scope of the individual topics which comprise the examination modules, and how the exams are assessed. It is important that prospective candidates understand the scope of the modules to determine the preparation required. Download here IAM Qualifications Candidate Handbook This handbook provides more detailed information on registering as a candidate, learning resources, training courses, booking an exam, exam regulations and what happens after an exam - whether you are successful or unsuccessful. Download here Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total) Other than world-class visuals and slides, this VILT course will include a high level of interaction between the facilitator and participants and group discussion among the participants themselves. There will be a number of exercises & quizzes to demonstrate key points and to give participants the chance to apply learning and appreciate key aspects of best practice. Participants will also have the chance to share examples from their own experience, discuss real problems they are facing and develop actions for improvement when they return to work. Examples of the exercises that are used in this VILT course are as follows: Exercises: Aligning Assets to Business Objectives, Planning for Contingencies, Understanding Function and Failure. Group exercises: Asset Management Decision Making, Incident Review & Operations Optimisation. The workshop content will be adjusted based on the discussions, interests and needs of the participants on the course. Trainer Your expert course leader is a is a highly experienced in maintenance and turnaround specialist. He is a Chartered Mechanical Engineer, having spent 19 years working for BP in engineering, maintenance and turnaround management roles. During this time, he worked on plants at all ages in the lifecycle, from construction, commissioning and operating new assets to maintaining aging assets and decommissioning. He has taken roles in Projects, Human Resources and Integrity Management which give real breadth to his approach. He also specialized in Continuous Improvement, gaining the award of International Petrochemical Coach of the year. He stays up to date with the latest industrial developments through his consulting support for major clients. He is also the Asset Management lead and a VILT specialist, having delivered over 70 days of VILT training in the last year. He has an engaging style and will bring his current industrial experience, proficiency of VILT techniques and diverse content, gathered from a comprehensive training portfolio, to deliver a distinctive training experience. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

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.