Loughborough

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			<p>This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
			<div><i></i> 5 Days 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
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		<h3>Description</h3>
		<p></p><h3>Overview:</h3>
<p>Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organisations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organisations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives:</h3>
<p>In this course, you will implement AI techniques in order to solve business problems. You will:</p>
<p>• Specify a general approach to solve a given business problem that uses applied AI and ML.<br />• Collect and refine a dataset to prepare it for training and testing. <br />• Train and tune a machine learning model. <br />• Finalize a machine learning model and present the results to the appropriate audience. <br />• Build linear regression models. <br />• Build classification models. <br />• Build clustering models. <br />• Build decision trees and random forests. <br />• Build support-vector machines (SVMs). <br />• Build artificial neural networks (ANNs). <br />• Promote data privacy and ethical practices within AI and ML projects. </p>
<p> </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span>Lesson 1: Solving Business Problems Using AI and ML</span></h4>
<p>Topic A: Identify AI and ML Solutions for Business Problems<br />Topic B: Formulate a Machine Learning Problem<br />Topic C: Select Appropriate Tools  </p>
<h4>Lesson 2: Collecting and Refining the Dataset</h4>
<p>Topic A: Collect the Dataset<br />Topic B: Analyze the Dataset to Gain Insights<br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Prepare Data</p>
<h4>Lesson 3: Setting Up and Training a Model</h4>
<p>Topic A: Set Up a Machine Learning Model<br />Topic B: Train the Model </p>
<h4>Lesson 4: Finalizing a Model </h4>
<p>Topic A: Translate Results into Business Actions<br />Topic B: Incorporate a Model into a Long-Term Business Solution </p>
<h4>Lesson 5: Building Linear Regression Models</h4>
<p>Topic A: Build a Regression Model Using Linear Algebra<br />Topic B: Build a Regularized Regression Model Using Linear Algebra<br />Topic C: Build an Iterative Linear Regression Model </p>
<h4>Lesson 6: Building Classification Models</h4>
<p>Topic A: Train Binary Classification Models<br />Topic B: Train Multi-Class Classification Models<br />Topic C: Evaluate Classification Models<br />Topic D: Tune Classification Models</p>
<h4>Lesson 7: Building Clustering Models</h4>
<p>Topic A: Build k-Means Clustering Models<br />Topic B:  Build  Hierarchical  Clustering  Mode</p>
<h4>Lesson 8: Building Advanced Models</h4>
<p>Topic A: Build  Decision Tree Models<br />Topic B: Build Random Forest Model Lesson</p>
<h4>Lesson  9: Building Supports Vector Machines</h4>
<p>Topic A: Build SVM Models for Classification<br />Topic B:  Build SVM Models for Regression</p>
<h4>Lesson 10: Building Artificial Neural Networks</h4>
<p>Topic A: Build Multilayer Perceptrons (MLP)<br />Topic B: Build Convolutional Neural Networks (CNN)</p>
<h4>Lesson 11: Promoting Data Privacy and Ethical Practices</h4>
<p>Topic A: Protect Data Privacy<br />Topic B: Promote Ethical  Practices<br />Topic C: Establish Data Privacy and Ethics Policies</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing.</p>
<p>You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>The skills covered in this course converge on three areas-software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.  So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning.   A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. </p>
<p>This course is also designed to assist students in preparing for the Certified Artificial Intelligence (AI) Practitioner certification.</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

Machine Learning (ML)

NLP Practitioner

Trainers Course

Azure Machine Learning

Microsoft AI-900

AI (Artificial Intelligence)

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Certified Artificial Intelligence Practitioner

General Admission

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<h2><strong>About this Training Course</strong> </h2>
<p>Geomechanical evaluations are about the assessment of deformations and failure in the subsurface due to oil &amp; gas production, geothermal operations, CO<sub>2</sub> storage and other operations. All geomechanical evaluations include four types of modelling assumptions, which will be systematically addressed in this training, namely:</p>
<p>1.      Geometrical modelling assumption: Impact of structural styles on initial stress and stress redistribution due to operations</p>
<p>2.      Formation (or constitutive) behaviour: Linear elastic and non-linear behaviour, associated models and their parameters, and methods how to constrain these using</p>
<p>3.      Initial stress: Relation with structural setting and methods to quantify the in-situ stress condition</p>
<p>4.      Loading conditions: Changes in pore pressure and temperature on wellbore and field scale</p>
<p>This 5 full-day course starts with the determination of the stresses in the earth, the impact of different structural styles, salt bodies, faulting and folding on the orientation of the three main principal stress components. Different (field) data sources will be discussed to constrain their magnitude, while exercises will be made to gain hands-on experience.</p>
<p>Subsequently, the concepts of stress and strain will be discussed, linear elasticity, total and effective stress and poro-elasticity in 1D, 2D and 3D, as well as thermal expansion. Participants will be able to construct and interpret a Mohr-circles. Also, different failure mechanisms and associated models (plastic, viscous) will be discussed. All these concepts apply on a material point level.</p>
<p>Next, geomechanics on the wellbore scale is addressed, starting with the stress distribution around the wellbore (Kirsch equations). The impact of mudweight on shear and tensile failure (fracturing) will be calculated, and participants will be able to determine the mudweight window stable drilling operations, while considering well deviation and the use of oil-based and water-based muds (pore pressure penetration). Fracturing conditions and fracture propagation will be addressed.</p>
<p>Field-scale geomechanics is addressed on the fourth day, focussing on building a 3D geomechanical model that is fit-for-purpose (focussing on the risks that need evaluation). Here, geological interpretation (layering), initial stress and formation property estimation (from petrophysical logs and lab experiments) as well as determining the loading conditions come together.</p>
<p>The course is concluded with interpretation of the field-wide geomechanical response to reservoir depletion with special attention to reservoir compaction &amp; subsidence, well failure and fault reactivation &amp; induced seismicity. Special attention is paid to uncertainties and formulating advice that impacts decision-making during development and production stages of a project.</p>
<p>This course can also be offered through Virtual Instructor Led Training (VILT) format.</p>
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Training Objectives 

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<p>Upon completing of this course, the participants will be able to:</p>
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<li>Identify potential project risks that may need a geomechanical evaluation</li>
<li>Construct a pressure-depth plot based on available field data (density logs, (X)LOT, FIT, RFT)</li>
<li>Employ log-based correlation function to estimate mechanical properties</li>
<li>Produce a simplified, but appropriate geometrical (layered, upscaled) model that honours contrasts in initial stress, formation properties and loading conditions, including</li>
<li>Construct and interpret a Mohr-circle for shear and tensile failure</li>
<li>Calculate the mud weight that leads to shear and tensile failure (fracturing conditions)</li>
<li>Identify potential lab experiments to measure required formation properties</li>
<li>Describe the workflow and data to develop a field-wide fit-for-purpose geomechanical model</li>
<li>Discuss the qualitative impact of pressure and temperature change on the risk related to compaction, well failure, top-seal integrity and fault reactivation</li>
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Target Audience 

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<p>This course is intended for <strong>Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion</strong>.</p>
<p>There is no specific formal pre-requisite for this course. However, the participants are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience.</p>
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Course Level 

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<li>Intermediate</li>
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Trainer

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<p>Your expert course leader has over 30 years of experience in the Oil &amp; Gas industry, covering all geomechanical issues in the petroleum industry for Shell. Some of his projects included doing research and providing operational advice in wellbore stability, sand failure prediction, and oil-shale retortion among others. He guided multi-disciplinary teams in compaction &amp; subsidence, top-seal integrity, fault reactivation, induced-seismicity and containment. He was also involved in projects related to Carbon Capture Storage (CCS).</p>
<p>He is the founding father of various innovations and assessment tools, and developed new insights into the root causes seismicity induced by Oil &amp; Gas production. Furthermore, he was the regional coordinator for technology deployment in Africa, and Smart Fields (DOFF, iField) design advisor for Shell globally. He was responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for the last 10 years. He served as one of the Subject Matter Expert (SME) on geomechanics, provided Technical Assurance to many risk assessments, and is a co-author of Shell's global minimun standard on top-seal integry and containment. He has a MSc and PhD in Civil Engineering and computational mechanics from Delft University of Technology, The Netherlands.</p>
<p><strong>Training experience:</strong></p>
<p>Developed and delivered the following (between 2010 and 2020):</p>
<ul>
<li>The competence framework for the global geomechanical discipline in Shell</li>
<li>Online Geomechanical training programs for petroleum engineers (post-doc level)</li>
<li>The global minimum standard for top-seal integrity assessment in Shell</li>
<li>Over 50 learning nuggets with Subject Matter Experts</li>
<li>Various Shell virtual Geomechanical training courses covering all subjects</li>
<li>Developed Advanced Geomechanical training program for experienced staff in Shell</li>
<li>Coaching of KPC staff on Geomechanics and containment issues on an internship at Shell in The Netherlands, Q4 2014</li>
<li>Lectured at the Utrecht University summer school (The Netherlands, 2020) on induced seismicity among renowned earthquake experts (Prof. Mark Zoback, Prof. Jean-Philippe Avouac, Prof. Jean-Pierre Ampuero and Prof. Torsten Dahm) (https://www.nwo.nl/onderzoeksprogrammas/deepnl/bijeenkomsten/6-10-juli-2020-deepnl-webinar-series-induced-seismicity)</li>
<li>Lectured at the Danish Technical University summer school (Copenhagen, 2021) summer school on Carbon Capture and Storage (https://www.oilgas.dtu.dk/english/Events/DHRTC-Summer-School)</li>
<li>Virtual Carbon Capture and Storage (CCS): Project Risks &amp; How to Manage Them training course (October and November 2021)</li>
</ul>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<p>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 post training support and fees applicable</p>
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Accreditions And Affliations

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EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Geomechanics at Well and Field Scale

Team of 10, pp

Normal Fee, pp

Redhill

<h3><b>Essential 5G training course description</b></h3>
      <p>  This course is designed to give delegates an
explanation of the technologies and interworking
requirements of the next generation of cellular
communications.
It is not a definitive set of descriptions but a possibility
of the final deployment. we will investigate the 10 pillars
for 5G which will include various Radio Access
Technologies that are required to interwork smoothly.
We will look at the 4G Pro features and other RATs.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
			
                    <li>List the ten pillars of 5G deployment.</li>
                    <li>Describe the 5G Internet.</li>
                    <li>Explain virtualization and RAT virtulization.</li>
                    <li>Describe Software Defined Networks (SDN).</li>
																				<li>Explain carrier aggregation.</li>
                     <li>Describe the mobile cloud.</li>
																				<li>Explain an overall picture of 5G architecture.</li>
                  </ul>
        <h5>
        <b>Essential 5G training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone looking for an understanding of the technologies
and interworking requirements of the next generation of
cellular communications.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>None.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>3 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Essential 5G training course contents</b></h3>
      <ul>
				<li>Drivers for 5G </li><p>
5G Road Map, 10 Pillars of 5G, evolving RATs, oSON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation.

</p><li>4G LTE Advanced </li><p>
MIMO technology in release 8, Downlink &amp; uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB &amp; remote base station configurations, Downlink CoMP.

</p><li>ICIC &amp; eICIC </li><p>
ICIC, Homogeneous to heterogeneous network evolution, Introduction to eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS).

</p><li>Carrier aggregation </li><p>
Component carriers (CC), CC aggregation deployments, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configs.

</p><li>eIMTA </li><p>
TDD UL-DL reconfig. for traffic adaptation, Reconfig. mechanisms, Interference mitigation schemes, Dynamic &amp; flexible resource allocation.

</p><li>5G architectures </li><p>
5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, 5G in North America, academy research, company R&amp;D, 5G specifications.

</p><li>The 5G internet </li><p>
High-level view of Cloud Services, The Internet of Things &amp; context awareness, Network reconfiguration &amp; virtualization support, server proliferation, how VMs fix underutilised server problem, enter the hypervisor, why are VM such a big deal? SDN, evolution of the data centre network, high availability, low latency, scalability, security, cost model explodes, service-oriented API. OpenFlow switches, OpenFlow controllers, how SDN works. The big picture, pulling it all together, why the network had to change, how SDN &amp; NFV tie together. Evolutionary approach to the internet, architectures for distributed mobility management, MEDIEVAL &amp; MEDIVO projects, a clean slate approach, mobility first architecture. VNet, INM, NetInf, ForMux, MEEM. Generic Path (GP) &amp; anchorless mobility (AM), Quality of Service support, network resource provisioning, resourcing inside a network. IntServ, RSVP, DiffServ, CoS. Emerging approach for resource over- provisioning, example use case architecture for scalable resource control scenarios in the 5G internet. Integrating SDN/NFV for efficient resource over-reservation control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations &amp; operations.

</p><li>Small cells for 5G </li><p>
Average spectral efficiency evolution, WiFi &amp; Femto cells, Capacity limits. Achievable gains with densifications, multi-antenna techniques, small cells. Mobile data demand, approach &amp; methodology, subscriber density and traffic demand projections to 2020. Demand versus capacity, global mobile data traffic increase modelling, country level backhaul traffic projections, Small cell challenges, backhaul, spectrum, automation.

</p><li>Cooperation for next gen wireless networks </li><p>
Diversity &amp; relaying strategies, cooperation &amp; network coding, ARQ &amp; MAC protocols, NCCARQ &amp; PRCSMA packet exchange, Physical layer impact on MAC protocol analysis, NCCARQ overview, PHY layer impact, Case study on NCCARQ.

</p><li>Mobile clouds </li><p>
Mobile cloud, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4 &amp; software stacks, infrared, near field communications (NFC). Network coding, store &amp; forward vs compute &amp; forward, linear network coding, random linear coding.

</p><li>Security for 5G communications </li><p>
Potential 5G communication systems architectures, Security issues &amp; challenges. Mobile malware attacks targeting the UE, 5G mobile botnets, access networks, attacks on 4G networks, C-RNTI &amp; packet sequence number based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, credential attacks, configuration and protocol attacks, attacks on MON, user data &amp; identity attacks, mobile operator's core network, DDoS attacks targeting MON, signalling amplification, HSS saturation, external IP networks.</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Essential 5G

London

<h2>Lean Six Sigma Black Belt Certification Program: In-House Training</h2>
 <p>This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners.</p>
 <p>If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others.</p>
 <p>Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course.</p><h3>What you Will Learn</h3> 
 <p>At the end of this program, you will be able to:</p> 
 <ul> 
 <li>Use Minitab for advanced data analysis</li> 
 <li>Develop appropriate sampling strategies</li> 
 <li>Analyze differences between samples using Hypothesis Tests</li> 
 <li>Apply Statistical Process Control to differentiate common cause and special cause variation</li> 
 <li>Explain and apply various process capability metrics</li> 
 <li>Conduct Measurement System Analysis and Gage R&amp;R studies for both discrete and continuous data</li> 
 <li>Conduct and analyze simple and multiple regression analysis</li> 
 <li>Plan, execute, and analyze designed experiments</li> 
 <li>Drive sustainable change efforts through leadership, change management, and stakeholder management</li> 
 <li>Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps</li> 
 <li>Explain the main concepts of Design for Six Sigma including QFD</li> 
 </ul><section>
                    <h3>Introduction: DMAIC Review</h3> <ul>  <li>IIL Black Belt Certification Requirements</li>  <li>Review Project Selection</li>  <li>Review Define</li>  <li>Review Measure</li>  <li>Review Analyze</li>  <li>Review Improve</li>  <li>Review Control</li>  </ul>  <h3>Introduction: Minitab Tool</h3> <ul>  <li>Introduction to Minitab</li>  <li>Minitab basic statistics and graphs</li>  <li>Special features</li>  <li>Overview of Minitab menus</li>  </ul>  <h3>Introduction: Sampling</h3> <ul>  <li>The Central Limit Theorem</li>  <li>Confidence Interval of the mean</li>  <li>Sample size for continuous data (mean)</li>  <li>Confidence Interval for proportions</li>  <li>Sample size for discrete data (proportions)</li>  <li>Sampling strategies (review)</li>  <li>Appendix: CI and sample size for confidence levels other than 95%</li>  </ul>  <h3>Hypothesis Testing: Introduction</h3> <ul>  <li>Why use advanced stat tools?</li>  <li>What are hypothesis tests?</li>  <li>The seven steps of hypothesis tests</li>  <li>P value errors and hypothesis tests</li>  </ul>  <h3>Hypothesis Testing: Tests for Averages</h3> <ul>  <li>1 factor ANOVA and ANOM</li>  <li>Main Effect Plots, Interaction Plots, and Multi-Vari Charts</li>  <li>2 factor ANOVA and ANOM</li>  </ul>  <h3>Hypothesis Testing: Tests for Standard Deviations</h3> <ul>  <li>Testing for equal variance</li>  <li>Testing for normality</li>  <li>Choosing the right hypothesis test</li>  </ul>  <h3>Hypothesis Testing: Chi Square and Other Hypothesis Test</h3> <ul>  <li>Chi-square test for 1 factor</li>  <li>ANOM test for 1 factor</li>  <li>Chi-square test for 2 factors</li>  <li>Exercise hypothesis tests - shipping</li>  <li>Non-parametric tests</li>  </ul>  <h3>Analysis: Advanced Control Charts</h3> <ul>  <li>Review of Common Cause and Special Cause Variation</li>  <li>Review of the Individuals Control Charts</li>  <li>How to calculate Control Limits</li>  <li>Four additional tests for Special Causes</li>  <li>Control Limits after Process Change</li>  <li>Discrete Data Control Charts</li>  <li>Control Charts for Discrete Proportion Data</li>  <li>Control Charts for Discrete Count Data</li>  <li>Control Charts for High Volume Processes with Continuous Data</li>  </ul>  <h3>Analysis: Non-Normal Data</h3> <ul>  <li>Test for normal distribution</li>  <li>Box-Cox Transformation</li>  <li>Box-Cox Transformation for Individuals Control Charts</li>  </ul>  <h3>Analysis: Time Series Analysis</h3> <ul>  <li>Introduction to Time Series Analysis</li>  <li>Decomposition</li>  <li>Smoothing: Moving Average</li>  <li>Smoothing: EWMA</li>  </ul>  <h3>Analysis: Process Capability</h3> <ul>  <li>Process capability</li>  <li>Discrete Data: Defect metrics</li>  <li>Discrete Data: Yield metrics</li>  <li>Process Capability for Continuous Data: Sigma Value</li>  <li>Short- and long-term capabilities</li>  <li>Cp, Cpk, Pp, Ppk capability indices</li>  </ul>  <h3>Analysis: Measurement System Analysis</h3> <ul>  <li>What is Measurement System Analysis?</li>  <li>What defines a good measurement system?</li>  <li>Gage R&amp;R Studies</li>  <li>Attribute / Discrete Gage R&amp;R</li>  <li>Continuous Gage R&amp;R</li>  </ul>  <h3>Regression Analysis: Simple Correlation</h3> <ul>  <li>Correlation Coefficient</li>  <li>Simple linear regression</li>  <li>Checking the fit of the Regression Model</li>  <li>Leverage and influence analysis</li>  <li>Correlation and regression pitfalls</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis</h3> <ul>  <li>Introduction to Multiple Regression</li>  <li>Multicollinearity</li>  <li>Multiple Regression vs. Simple Linear Regression</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis with Discrete Xs</h3> <ul>  <li>Introduction</li>  <li>Creating indicator variables</li>  <li>Method 1: Going straight to the intercepts</li>  <li>Method 2: Testing for differences in intercepts</li>  </ul>  <h3>Logistic Regression: Logistic Regression</h3> <ul>  <li>Introduction to Logistic Regression</li>  <li>Logistic Regression - Adding a Discrete X</li>  </ul>  <h3>Design of Experiments: Introduction</h3> <ul>  <li>Design of Experiment</li>  <li>OFAT experimentation</li>  <li>Full factorial design</li>  <li>Fractional factorial design</li>  <li>DOE road map, hints, and suggestions</li>  </ul>  <h3>Design of Experiments: Full Factorial Designs</h3> <ul>  <li>Creating 2k Full Factorial designs in Minitab</li>  <li>Randomization</li>  <li>Replicates and repetitions</li>  <li>Analysis of results: Factorial plots</li>  <li>Analysis of results: Factorial design</li>  <li>Analysis of results: Fits and Residuals</li>  <li>Analysis of results: Response Optimizer</li>  <li>Analysis of results: Review</li>  </ul>  <h3>Design of Experiments: Pragmatic Approaches</h3> <ul>  <li>Designs with no replication</li>  <li>Fractional factorial designs</li>  <li>Screening Design of Experiment Case Study Repair Time</li>  <li>Blocking</li>  </ul>  <h3>Closing: Organizational Change Management</h3> <ul>  <li>Organizational change management</li>  <li>Assuring project sponsorship</li>  <li>Emphasizing shared need for change</li>  <li>Mobilizing stakeholder commitment</li>  </ul>  <h3>Closing: Project Management for Lean Six Sigma</h3> <ul>  <li>Introduction to project management</li>  <li>Project management for Lean Six Sigma</li>  <li>The project baseline plan</li>  <li>Work Breakdown Structure (WBS)</li>  <li>Resource planning</li>  <li>Project budget</li>  <li>Project risk</li>  <li>Project schedule</li>  <li>Project executing</li>  <li>Project monitoring and controlling and Closing</li>  </ul>  <h3>Closing: Design for Lean Six Sigma</h3> <ul>  <li>Introduction to Design for Lean Six Sigma (DMADV)</li>  <li>Introduction to Quality Function Deployment (QFD)</li>  </ul>  <h3>Summary and Next Steps</h3> <ul>  <li>IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)</li>  </ul>


                </section>

IIL Europe Ltd

Lean Six Sigma Black Belt Certification Program: In-House Training

<h3><b>Satellite communications training course description</b></h3>
        <p>This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
          <li>Explain how satellite communications work.</li> 
											<li>Explain how RF works</li>
											<li>Explain the architecture of satellite systems.</li> 
											<li>Use spectrum analysers.</li>
                  </ul>
     
        <h5>
        <b>Satellite communications training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone working with satellite systems. </p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>
                None.</p>
              
							<li><b>Duration</b></li>
							
              <p>3 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Satellite communications training course contents</b></h3>
      <ul>
				<li>Basic Principles of Satellite Communications</li><p>
GEO, MEO and LEO satellites. Launching and
orbits. Frequency bands and polarisation. Satellite
footprints. Multibeam coverage. Power spectra.
Link budgets. Modulation and coding. Access
technologies. Earth station components. Space
segment components. Satellite system services.
Satellite operators.
				</p><li>Radio frequency propagation</li><p>
Electromagnetic waves principles and generation.
Reception of the EM wave. Space wave, sky wave
and surface wave theory. The isotropic radiator.
Types of antennae and their basic properties.
Polar diagrams. International frequency allocation.
Spectrum management and utilisation. Radio
wave propagation. Line of sight propagation.
Propagation for satellite comms. Free space path
loss. Path attenuation. Noise and Interference.
Power and its measurement.
</p><li>Satellite antennae and other hardware</li><p>
Power flux density. Effective aperture. Horn
antennae. Parabolic reflector. Offset feed.
Cassegrain and Gregorian antennae. Antenna
feed systems - Horn, TMC, OMJ and polarizer.
Antenna steering and mount systems. Array
antennae. LNA, LNB, LNC. Microwave tubes -
TWT and Klystron. Polarizers.
</p><li>Earth and Space Segments and the link</li><p>
Earth station antennae. Transponders. Antennae
sub systems. Power supplies. Link budgets.
System noise. System losses. Interference.
Satellite switching.
</p><li>Ground Communications Equipment</li><p>
Baseband signals. Analogue and Digital systems.
Overview of modulation - AM, FM, PM. Digital
Modulation. Frequency conversion -up and down
conversion. Filters, mixers, local oscillators, IF
amplifiers and group delay equalisers. Access
methods - single and multiple access systems.
Data networks. Television transmission -
analogue and digital. Digital signal compression.
MPEG processing.
</p><li>Satellite Navigation</li><p>
Longitude, latitude, altitude, GPS, How GPS
works, timing, alternatives to GPS.
</p><li>Mobile satellite services</li><p>
Voice and Phones, BGAN, TV, GPS to program
aerial, VSAT.
</p><li>Error Control Coding</li><p>
The need for coding. Linear block codes. Cyclic
codes. Convolution codes. Interleaving and
concatenated codes. Coding gain. Turbo codes.
</p><li>Test and measurement</li><p>
Theory and practice of Spectrum Analysers.

 </p>

      </ul>

Advanced Satellite communications

<h3><b>5G training course description</b></h3>
      <p>  This course is designed to give the delegate an
understanding of the technologies and interworking
requirements of the next generation of cellular
communications.
It is not a definitive set of descriptions but a possibility
of the final deployment. During the course we will
investigate the 10 pillars for 5G, which will include
various Radio Access Technologies that are required to
interwork smoothly. Hence we will look at the 4G Pro
features and other RATs.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
				<li>List the ten pillars of 5G deployment.</li>
																				<li>Explain the 5G Internet and Software Distributed
Networks (SDN).</li>
                    <li>Explain carrier aggregation, the mobile cloud and
RAT virtualisation.</li>
 <li>Explain an overall picture of 5G architecture.</li>
                  </ul>
        <h5>
        <b>5G training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone who is looking to work with next generation
networks. </p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Mobile communications demystified</p>
              
							<li><b>Duration</b></li>
							
              <p>3 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>5G training course contents</b></h3>
      <ul>
				<li>Drivers for 5G </li><p>
5G Road Map, 10 Pillars of 5G, evolving RATs, small cell, o SON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation.

</p><li>4G LTE advanced features </li><p>
*MIMO, Downlink &amp; uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB &amp; remote base station configurations, Downlink CoMP, * Uplink Multi-Cell Reception.

</p><li>ICIC &amp; eICIC </li><p>
ICIC, Homogeneous to heterogeneous network, eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS).

</p><li>Carrier aggregation </li><p>
Component carriers (CC), * CC aggregation, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configurations (Rel 9, 10 &amp; 12).

</p><li>Enhanced Interference Mitigation &amp; Traffic Adaptation (eIMTA) </li><p>
TDD UL-DL reconfiguration for traffic adaptation, Reconfiguration mechanisms, Interference mitigation schemes, Dynamic &amp; flexible resource allocation.

</p><li>5G architectures </li><p>
5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, innovation centre, 5G in North America, research, company R &amp; D, 5G specifications.

</p><li>The 5G internet </li><p>
Cloud services, IoT &amp; context awareness, network reconfiguration &amp; virtualization support, hypervisors, SDN, the controller, service-oriented API, OpenFlow switches, SDN operation, SDN control for traffic flow redirection, OpenFlow controllers, how SDN works, application, control and infrastructure layers, a programmable network, how SDN &amp; NFV tie together, SDN's downside, SDN orchestration, Mobility, architectures for distributed mobility management, MEDIEVAL &amp; MEDIVO projects, a clean slate approach, mobility first architecture, network virtualization (VNet), INM, NetInf, ForMux, MEEM, GP &amp; AM, QoS support, network resource provisioning, IntServ, RSVP, DiffServ, CoS, aggregated resource provisioning, SICAP, MARA, Emerging approach for resource over-provisioning, example use case architecture for the 5G internet, integrating SDN/NFV for efficient resource control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations, network operations.

</p><li>Small cells for 5G </li><p>
Average spectral efficiency evolution, What are small cells? WiFi &amp; Femto cells as candidate small-cell technologies, Capacity limits &amp; achievable gains with densifications, gains with multi-antenna techniques, gains with small cells, Mobile data demand, approach &amp; methodology, subscriber density projections, traffic demand projections, global mobile data traffic increase modelling, country level backhaul traffic projections, 2020 average spectrum requirement, Small cell challenges, backhaul, spectrum, automation.

</p><li>Cooperation for next generation wireless networks </li><p>
Cooperative diversity &amp; relaying strategies, Cooperative ARQ &amp; MAC protocols, NCCARQ &amp; PRCSMA packet exchange, Physical layer impact on MAC protocol, NCCARQ overview, PHY layer impact, Performance evaluation, simulation scenario and results.

</p><li>Mobile clouds; technology &amp; services for future communications platforms </li><p>
Mobile cloud, software, hardware and networking resources, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4, software stacks, infrared, near field communications (NFC), store &amp; forward vs compute &amp; forward, random/linear network coding.

</p><li>Security for 5G communications </li><p>
Potential 5G architectures, Security issues &amp; challenges in 5G, user equipment, mobile malware attacks, 5G mobile botnets, attacks on 4G networks, C-RNTI &amp; packet sequence numbers based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, attacks on mobile operator's network, user data &amp; identity attacks, DDoS attacks, amplification, HSS saturation, external IP networks.</p>
      </ul>

5G demystified

Harpenden

<p>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.</p><p>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.</p><p>You will learn all about the three pillars for creating competitive brand experiences:</p><p>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.</p>This programme will help participants to:<p> </p><ul><li>Understand the evolution of the customer buying journey</li><li>Map a customer buying journey for your brand or solutions</li><li>Understand the customer micro-moments and signals indicating interest and buying intent, both online and offline</li><li>Apply the psychology of branding to build marketing communications with impact</li><li>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</li></ul><section>
                    <h3>1 The evolution of the customer journey</h3><ul><li>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</li><li>Explore how marketers are adapting to this new customer behaviour and drawing upon various strategies to win the hearts and minds of their audiences</li></ul> <h3>2 The See-Think-Do-Care framework</h3><ul><li>Explore the many different frameworks used to track the customer journey</li><li>Understand and apply the modern marketing model, where the internet has enabled the customer to hop between multiple touchpoints before making a purchase decision</li></ul> <h3>3 Customer micro-moments and signals in their buying journey</h3><ul><li>Understand the online and offline moments when customers seek information to research and make buying decisions</li><li>Apply this understanding to build a marketing communication plan to reach customers at all stages of their buying journey</li></ul> <h3>4 The role of branding in the customer journey</h3><ul><li>Explore the psychology of branding</li><li>Learn how to ensure your branding is relevant to your target customer needs</li><li>Bring together your brand value and story to achieve brand loyalty</li></ul> <h3>5 The Why-How-What framework</h3><ul><li>Apply a systematic approach to build a successful and compelling brand</li><li>Understand how starting with 'why' will help build your brand purpose</li><li>Apply the content marketing matrix to communicate your brand's value</li><li>Apply the hero-help-hub model to build engaging content marketing</li></ul> <h3>Actionable outcomes</h3>We will use your brand examples to provide opportunities for practice:<ul><li>You will learn and reflect on best practice examples of customer engagement</li><li>You will discover your brand value, purpose and the 'sweet spot' to drive engagement with your customers</li><li>You will create a customer engagement plan that can be implemented immediately within your business</li><li>You will receive immediate feedback on your customer engagement plan</li><li>You will have the opportunity to share common issues and solutions with your colleagues in the group</li></ul> 


                </section>

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