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Training Trainers of Spiritual Directors Developing the abilities needed to facilitate Spiritual Direction formation programmes

Innovation Project Management: On-Demand Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. Innovation is needed and someone must manage these innovation projects. Over the past two decades, there has been a great deal of literature published on innovation and innovation management. Converting a creative idea into reality requires projects and some form of project management. Unfortunately, innovation projects, which are viewed as strategic projects, may not be able to be managed using the traditional project management philosophy we teach in our project management courses. There are different skill sets needed, different tools, and different life-cycle phases. Innovation varies from industry to industry and even companies within the same industry cannot come to an agreement on how innovation project management should work. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. What you Will Learn Explain the links needed to bridge innovation, project management, and business strategy Describe the different types of innovation and the form of project management each require Identify the differences between traditional and innovation project management, especially regarding governance, human resources management challenges, components of an innovative culture and competencies needed by innovation project managers Establish business value and the importance of new metrics for measuring and reporting business value Relate innovation to business models and the skills needed to contribute in the business model development Recognize the roadblocks affecting innovation project management and their cause to determine what actions can be taken Determine the success and failure criteria of an innovation project Foundation Concepts Understanding innovation Role of innovation in a company Differences between traditional (operational) and strategic projects Innovation management Differences between innovation and R&D Differing views of innovation Why innovation often struggles Linking Innovation Project Management to Business Strategy The business side of innovation project management The need for innovation targeting Getting close to the customers and their needs The need for line-of-sight to the strategic objectives The innovation enterprise environmental factors Tools for linking Internal Versus External (Co-creation) Innovation Open versus closed innovation Open innovation versus crowdsourcing Benefits of internal innovation Benefits of co-creation (external) innovation Selecting co-creation partners The focus of co-creation The issues with intellectual property Understanding co-creation values Understanding the importance of value-in-use Classification of Innovations and Innovation Projects Types of projects Types of innovations Competency-enhancing versus competency-destroying innovations Types of innovation novelty Public Sector of Innovation Comparing public and private sector project management Types of public service innovations Reasons for some public sector innovation failures An Introduction to Innovation Project Management Why traditional project management may not work The need for a knowledge management system Differences between traditional and innovation project management Issues with the 'one-size-fits-all' methodology Using end-to-end innovation project management Technology readiness levels (TRLs) Integrating Kanban principles into innovation project management Innovation and the Human Resources Management Challenge Obtaining resources Need for a talent pipeline Need for effective resource management practices Prioritizing resource utilization Using organizational slack Corporate Innovation Governance Types of innovation governance Business Impact Analysis (BIA) Innovation Project Portfolio Management Office (IPPMO) Using nondisclosure agreements, secrecy agreements, confidentiality agreements, and patents Adverse effects of governance decisions Innovation Cultures Characteristics of a culture for innovation Types of cultures Selecting the right people Linking innovation to rewards Impact of the organizational reward system Innovation Competencies Types of innovation leadership The need for active listening Design thinking Dealing with ambiguity, uncertainty, risks, crises, and human factors Value-Based Innovation Project Management Metrics Importance of innovation project management metrics Understanding value-driven project management Differences between benefits and value - and when to measure Traditional versus the investment life cycle Benefits harvesting Benefits and value sustainment Resistance to change Tangible and intangible innovation project management metrics Business Model Innovation Business model characteristics Impact of disruptive innovation Innovation Roadblocks Roadblocks and challenges facing project managers Ways to overcome the roadblocks Defining Innovation Success and Failure Categories for innovation success and failure Need for suitability and exit criteria Reasons for innovation project failure Predictions on the Future of Innovation Project Management The Six Pillars of changing times Some uses for the new value and benefits metrics

Learn to apply sentiment analysis to your problems through a practical, real-world use case.

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Application delivery training course description A concise hands on course covering section 1 of the F5 networks AD fundamentals exam. The course focuses on the technology and not any one manufacturers product. This will enable delegates to work with devices from any manufacturer. Practical hands on with Cisco and Microsoft systems follow the major sessions to reinforce the theory. What will you learn Explain, compare and contrast the OSI layers. Explain protocols and technologies specific to the data link layer. Explain protocols and apply technologies specific to the network layer. Explain the features and functionality of protocols and technologies specific to the Transport layer. Explain the features and functionality of protocols and technologies specific to the Application layer Application delivery training course details Who will benefit: Anyone taking the F5 networks AD fundamentals exam. Technical staff working in Application delivery. Prerequisites: None. Duration 3 days Application delivery training course contents What is TCP/IP? Protocols, services. The Internet, RFCs, The OSI 7 layer model. Layer 1 cables. Ping and addressing Host configuration of IP addresses, subnet masks, default gateways, ipconfig, ping. Hands on Configuring TCP/IP, ping. Ethernet and the data link layer 802.3, evolution, choosing cables, topologies, CSMA/CD, hubs, NICs, MAC addresses. Hands on Analysing MAC addresses. IP and Ethernet Relationship. Hands on ARP. What is a switch? Switches connect multiple devices, switches versus hubs, simultaneous conversations, switches work at layer 2, the forwarding database, how the forwarding database is built, broadcast and collision domains. Hands on Difference between hubs and switches. Link aggregation Loops, broadcast storms, STP, Architectures, modes, link aggregation, load sharing, resilience. Hands on fail over times. VLANs Virtual versus physical LANs, Why have VLANs? Broadcast domains. Hands on VLANs effect on traffic. IP IP datagram format, ICMP datagram format. Hands on Analysing IP and ICMP packets. IP addressing Format of addresses, registering, dotted decimal notation, choosing addresses, DHCP. Hands on impact of addressing errors. Routing What is a router? Reason for routing, network addressing, default gateways, how routing works, routing and addresses, routing tables, traceroute. Hands on Using a routed network. Routing protocols IGPs, EGPs, RIP & OSPF. Hands on Configuring routers for RIP and OSPF. Subnetting When to subnet, subnet masks, working with subnetting, CIDR notation. Hands on Changing the routed network to use subnetting. The transport layer UDP, Ports, TCP, acknowledgements, sliding windows. Hands on Analysing packets. Applications Clients, servers, web, Email SMTP, resource sharing, IM, VoIP, Video over IP, terminal emulation, FTP. Hands on FTP, SIP. Web pages URLs, DNS, names to IP addresses. HTTP, versions and status codes. Keepalives, cookies. Hands on Analysing HTTP headers.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

The Power of Acknowledgment: On-Demand The Power of Acknowledgment is an ingenious yet clear-cut model of behavior and action. These behaviors and actions, when properly practiced by people on an ongoing basis, is transformational. According to author/trainer Judith W. Umlas experience of 14 years of training and delivery practice globally, it will change your interactions with everyone in both your personal and professional life in profound and positive ways. Your behavior and way of being will actually transform this practice. And when enough people are doing this -- at least most of the time -- the world will also change in amazing ways. That's her vision, and when enough people participate in this behavioral change model it's also her prediction! In this interactive, engaging, high-impact and fun course, you will be given the priceless tools that you can put into immediate action. These help you overcome your barriers to acknowledging others in heartfelt and authentic ways. Inspiring stories and case studies will move and energize you. And you will actually get to practice your new or enhanced skills. The goal of this course is to identify techniques for creating a more positive and meaningful connection between you and the people around you, and to improve your ability to develop a more rewarding and successful personal and professional life. This course will become a catalyst for an immediate, positive change in your life and the life of others that are part of your world! What You Will Learn At the end of this program, you will be able to: Use the 7 Key Principles of Acknowledgment Practice the 5 C's of Acknowledgment Improve your relationships in all facets of life Identify myths that get in the way of your expressing heartfelt and authentic acknowledgment, appreciation and gratitude to your team members and others Be a Champion for Change where you live, in your workplace and community Acknowledge people on a regular basis in ways that make a profound difference to them, to you, and to any organization The Power of Acknowledgment The 7 Principles of Acknowledgment Transforming Challenging Relationships Through Acknowledgment' The Five Cs of Acknowledgement

Through this course, we will teach you the essential Relationship between Leadership, Motivation, Teamwork, and Communication and how they impact Performance. Discover the Concept of Employee Performance and Organisational Performance and how to enhance both for maximum success. You'll also learn about Group Dynamics and the important factors that contribute to effective teamwork, including Tuckman's Model of Group Development and Belbin's Team Roles. Gain a deep understanding of Theories and Models of Motivation, such as Maslow's Need Hierarchy, Herzberg's Motivation-Hygiene Theory, and Vroom's Expectancy Theory. Finally, explore Theories and Models of Communication, including Berlo's SMCR Model and the Shannon-Weaver Model of Effective Communication, and learn how to overcome Communication Barriers for more Effective Communication. After the successful completion of the course, you will be able to learn about the following, Strong leadership, motivation, teamwork, and communication skills are critical for achieving high performance in any organization. Employee performance and organizational performance are interlinked and can be enhanced through effective leadership, teamwork, and communication. Understanding group dynamics, team roles, motivation theories, and communication models can help overcome communication barriers and improve team performance. Through this course, we will teach you the essential Relationship between Leadership, Motivation, Teamwork, and Communication and how they impact Performance. Discover the Concept of Employee Performance and Organisational Performance and how to enhance both for maximum success. You'll also learn about Group Dynamics and the important factors that contribute to effective teamwork, including Tuckman's Model of Group Development and Belbin's Team Roles. Gain a deep understanding of Theories and Models of Motivation, such as Maslow's Need Hierarchy, Herzberg's Motivation-Hygiene Theory, and Vroom's Expectancy Theory. Finally, explore Theories and Models of Communication, including Berlo's SMCR Model and the Shannon-Weaver Model of Effective Communication, and learn how to overcome Communication Barriers for more Effective Communication. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding the role of motivation, teamwork and communication in leadership Self-paced pre-recorded learning content on this topic. The Role of Motivation Teamwork and Communication in Leadership Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Managers and Leaders at all levels Human Resource Professionals Communication Specialists Team Leaders and Supervisors Organizational Development Professionals Entrepreneurs and Small Business Owners Management Consultants Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Revit Architecture Training is for 15 hours £525, and the Revit classes are one-to-one which will improve your learning. Revit Architecture course is 100% practical and hands-on training.

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.