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Why Choose Mastering Maya Basics to Intermediate Course? Click here for more info: Website Our courses cater to graphic designers, animators, and beginners, providing industry-standard animation skills. Dive into 3D animation, modeling, simulation, and rendering for film, TV, games, and ads. Duration: 20 hours Approach: 1-on-1 Sessions. Schedule: Design your own schedule by pre-booking a convenient hour of your choice, available Mon to Sat between 9 am and 7 pm. I. Introduction to Maya (1.5 hours) Understanding Maya and its Applications Navigating the Maya Interface and Basic Tools Creating and Managing Projects II. 3D Modeling (3 hours) Basics of Polygon Modeling Creating Simple and Complex 3D Shapes Organic Shape Creation using NURBS Advanced Techniques: Extrusions, Bevels, and Editable Objects III. Texturing and Materials (1.5 hours) Introduction to Texturing and Material Creation UV Unwrapping and Texture Mapping Importing and Applying Textures and Images IV. Lighting and Rendering (2 hours) Fundamental Lighting Techniques Camera Setup and Composition Rendering Images and Animations Output Options and File Formats V. Animation (4 hours) Keyframe Animation and Animation Curves Rigging and Animating Characters Motion Paths and Animation Layers Editing Animation Clips VI. Rigging (2 hours) Introduction to Rigging and Skeletons Binding Skin and Weight Maps Creating Rigging Systems for Characters VII. Special Effects (1.5 hours) Particle Systems and Dynamics Creating Fluids, Fire, and Other Effects Special Effects Editing: Explosions, Smoke, and more VIII. Advanced Modeling Techniques (1.5 hours) Complex Objects using Booleans and Deformers Modifying Curves and Surfaces Organic Shape Creation with Sculpting Tools IX. Conclusion and Next Steps (0.5 hours) Course Review Further Learning Tips and Resources Q&A and Feedback Please note: The course content and duration are flexible, tailored to match learners' needs and skill levels. Throughout the course, lifetime email support ensures you receive guidance with any challenges you face. Embark on your Autodesk Maya journey, exploring 3D modeling and animation with confidence. Additional Topics Covered: Modeling: Surfaces, Control Vertex, Polygons, Extrusion, Vertices, Edges, Bridge Tool, Combining, Smooth, Mirror Geometry, Merging Vertices, Subdivision Modeling. Deformations: Twist, Lattice, Flare, Bend. Shapes: Lines, Pen Tools. Animations: Basic Keyframes, Vertex Animation, Clusters, Path Animations, Skeletons, Bones, IK Handle Tool, Skinning. Dynamics: Fire, Lighting, Soft and Rigid Bodies, Particles, Collisions, Gravity. Fur and Paint Effects: Fur Basics, Fur Color Corrections, Paint Effects, Paint Modifier, Brush Animations. Texturing: Diffuse and Bump Maps, Reflections, Transparency, Shaders, Toon Shaders, Glow Textures. Lighting: Basic and Advanced Lights, Shadows, Special Light Effects. Camera: Free and Aim Cameras, Camera Effects, Path Animations. Fluid Effects and Ncloth: 2D and 3D Containers, Collision Effects, Gravity, Wind Effects. Rendering: Images and Animations, Render Techniques, Resolution Settings, Batch Rendering. Download Maya Maya Proficiency: Master Maya's interface, tools, and functions, advancing from basic to intermediate levels. 3D Modeling Expertise: Create diverse 3D models using polygonal and NURBS techniques, from simple shapes to intricate designs. Texturing and Rendering Skills: Apply textures, create materials, and utilize advanced rendering techniques for high-quality visuals. Animation Techniques: Understand keyframe animation, rigging, and character animation, producing engaging animations and special effects. Special Effects and Dynamics: Explore particle systems, fluid dynamics, and advanced visual effects, enhancing realism in animations. Advanced Modeling and Sculpting: Master complex modeling techniques, including Booleans, deformers, and organic shape creation through sculpting tools. Professional Portfolio: Develop a diverse portfolio showcasing 3D modeling and animation skills, ready for presentation to employers or clients. Problem-Solving Skills: Learn creative approaches to solve complex 3D challenges effectively. Collaborative Abilities: Understand team dynamics and collaboration within the 3D production pipeline. Recommended Books: "Introducing Autodesk Maya 202X" by Dariush Derakhshani and Randi L. Derakhshani: Comprehensive beginner's guide to Maya's essential tools and techniques. "Mastering Autodesk Maya 20XX" by Todd Palamar: In-depth intermediate guide covering advanced features, modeling, animation, and rendering. "Maya Character Creation: Modeling and Animation Controls" by Chris Maraffi: Focuses on character creation, covering modeling, rigging, and animation. "Maya Secrets of the Pros" by Todd Palamar: Expert tips and techniques from professional Maya artists, detailing advanced workflows and best practices. "Stop Staring: Facial Modeling and Animation Done Right" by Jason Osipa: Specialized book on facial modeling and animation, perfect for character expression enthusiasts. "The Art of 3D Computer Animation and Effects" by Isaac Kerlow: Offers foundational knowledge in 3D computer animation principles, applicable to various software, including Maya. Mastering Maya Basics to Intermediate Course Benefits: Comprehensive Skill Development: Master essential tools and techniques, from basics to intermediate, with hands-on projects mirroring real industry scenarios. Industry-Grade Proficiency: Acquire expertise in Autodesk Maya, enhancing credibility in animation, visual effects, and gaming industries. Creative Exploration: Unlock creative potential through advanced shading, lighting, dynamics, and simulations, enabling imaginative project realization. Portfolio Enhancement: Build a strong portfolio showcasing skills in 3D modeling, animation, and rendering for career advancement. Individualized Support: Receive personalized guidance and feedback, ensuring tailored learning experiences and skill refinement. Potential Jobs After Course: 3D Animator: Create lifelike character animations for films, games, and advertisements. 3D Modeler: Design detailed 3D characters, environments, and objects for various applications. Visual Effects Artist: Produce stunning visual effects for movies, TV shows, and commercials. Texture/Lighting Artist: Develop intricate textures and set the mood with expert lighting. Rigging Specialist: Rig characters and objects for realistic movement in animations. Rendering Specialist: Optimize rendering capabilities for high-quality images and animations. Game Developer: Contribute to interactive game development using Maya's features. Freelance Artist/Animator: Work independently on diverse projects, collaborating with studios and agencies. Skill Advancement: Progressive Mastery: Develop from basics to intermediate levels in Autodesk Maya, honing essential tools for stunning 3D visuals and animations. Hands-On Learning: Interactive Practice: Engage in practical projects, refining your skills in 3D modeling, advanced materials, character animation, and high-quality renders. Industry-Ready Proficiency: In-Demand Skills: Acquire proficiency in Autodesk Maya, a key software in animation and gaming, enhancing your employability. Creative Exploration: Unlock Creativity: Experiment with advanced shading, lighting, and dynamic animations, unleashing your creative potential in Maya. Flexible Support: Tailored Learning: Access recorded lessons for review, deepening your understanding, with lifetime email support for continuous guidance.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for Cloud Solutions Architects  DevOps Engineers  Individuals using Google Cloud Platform who deploy applications, monitor operations, and manage enterprise solutions Overview At course completion, you will have attained knowledge of: Fundamentals of Google Cloud Platform (GCP) Google Cloud Storage Google Compute Engine Google Cloud SQL Load Balancing (LB) Google Cloud Monitoring Auto-Scaling Virtual Private Cloud (VPC) Network Cloud Identity and Access Management (IAM) Cloud CDN and DNS Cloud VPN Google Cloud Deployment Manager Google Container Engine Cloud Run Cloud Bigtable Cloud Datastore Cloud BigQuery Cloud DataFlow Cloud DataProc Cloud Pub/Sub In this course you will attain a deep knowledge of Google Cloud Platform infrastructure and design patterns on developing applications on GCP. This course will prepare you for the Google Cloud Architect Associate Certification Exam. Fundamentals of Google Cloud Platform (GCP) Overview Regions and Zones Review of major GCP services Google Cloud Storage Fundamental APIs Consistency Cloud Storage Namespace Buckets and Objects Bucket and Object Naming Guidelines Encryption Object Versioning Object Lifecycle Management Access Control Access Control Lists Signed URL Multipart upload Resumable upload Understanding Pricing for Cloud Storage Offline Media Import/Export Architecture case study of common Use Cases of Google Cloud Storage Hands-on: Cloud Storage Lab; Creating Buckets, objects, and managing access control Google Compute Engine Compute Engine Architecture VM Instances types Persistence Disks Images Generating Custom Images IP Addresses Static IPs Ephemeral Access Control Options IAM Service Account Monitoring Instances with Google Cloud Monitoring Compute Engine Networks and Firewalls Hands-on: Hosting an Application on Compute Engine Google Cloud SQL Core advantages of Cloud SQL Cloud SQL database instance types Access Control High availability options Failover Read replica Backup options On Demand Automated Understanding Pricing of Cloud SQL Load Balancing (LB) Fundamentals of a Load Balancer Network Load balancing HTTPS Load balancing Cross region Load balancing Content Load balancing Target proxies SSL Load Balancing Internal Load Balancing Network Load Balancing Understanding Pricing for Load Balancer Google Cloud Monitoring Architecture of Cloud Monitoring Supported metrics Stackdriver Monitoring APIs Auto-Scaling Overview of Autoscaling Auto-scaling Fundamentals Instance groups Templates Policies Decisions Hands-on: Deploying a scale application on GCP using Autoscaling, Compute Engine, Cloud SQL, Load Balancers. Virtual Private Cloud (VPC) Network Salient features of Virtual Private Cloud (VPC) Network Infrastructure Virtual Private Cloud (VPC) Networking Fundamentals Subnetworks Firewall Internal DNS Network Routes Hands-on: Hosting Secure Applications in Google Cloud VPC Networks Cloud Identity and Access Management (IAM) Introduction User and Service Accounts IAM Roles Policy Hands-on: Managing Users, Policies and Granting Roles using Service Accounts Cloud CDN and DNS What is CDN Google Cloud CDN Cloud CDN Concepts Some of the Cloud CDN Edge locations Cloud DNS Cloud DNS Terminologies Supported Record Types Hands-on: Moving an Existing Domain Name to Cloud DNS Cloud VPN Cloud VPN overview Types of Cloud VPN Specifications Maintenance and Availability Google Cloud Deployment Manager Deployment Manager Deployment Manager Fundamentals Runtime Configurator Quotas Hands-on: Generating and Creating Cloud Deployment Manager Template Google Container Engine Google Container Engine Overview Docker Overview Kubernetes Terminologies Replication Controller Deployment Price and Quotas Hands-on: Deploying WordPress Cluster using Container Engine Cloud Run Overview of Cloud Run Deploy a Prebuilt Sample container Cloud Bigtable Overview of Cloud Bigtable Access Control Performance Locations Cloud Datastore Overview of Cloud Datastore Limits Storage Size Multitenancy Benefits of Multitenancy Encryption Locations Cloud BigQuery BigQuery Overview Interacting with BigQuery Datasets, Tables, and Views Partitioned Tables Query Plan Explanation Hands-on: Getting Started with BigQuery Cloud DataFlow Overview Programming Model DataFlow SDK 1.x for java Cloud Dataflow SDK 2.x Security and Permissions Advanced Access Control Cloud DataProc Overview Clusters Versioning Cloud Pub/Sub Overview of Cloud Pub/Sub Pub/Sub Concepts and Message Flow Data Model Cleanup of All Services Hands-on: Cloud Pub/Sub Lab with Background Cloud Function Additional course details: Nexus Humans Google Cloud Engineer Associate Certification Bootcamp 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 Google Cloud Engineer Associate Certification Bootcamp 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.

Award-winning, highly cost effective, certified leadership & management training for your organisation Online and face to face learning for cohorts of between 50- 100,000 users. Available Globally. World-leading content mapped to your vision, organisational objective and your competency framework. Full reporting transparency and engagement tracking. Capability uplift at scale, in the most cost effective, impactful way possible Beneficial for GMC or JCI compliance Give your workforce access to world-leading MIT Sloan Management Review content. Stunning, award-winning learning platform available on all devices.  Overview Attract, retain and inspire the best national and global talent with training that will make your hospital thrive It’s essential your investment is ulitised and has the desired impact. Our content is relatable and relevant so encourages active usage and engagement. We are invested in making sure you get a great return on your investment each day. Our programmes are: Focused on your organisation’s strategic objectives and competency framework. We help you tackle pressing issues Made for you. Our platform can intigrate with your learning management system (LMS) Cost-effective. Develop teams, departments and organisation wide with our innovative platform Prestigious. Give your workforce access to world-leading MIT Sloan Management Review and Mayo Clinic content Recognised by the Chartered Management Institute (CMI) & fully CPD certified Flexible. On-demand learning via our platform and app. Keep the workforce learning on the go. No study leave required Global. Made by NHS doctors and used by healthcare professionals worldwide Hybrid. Face to face group sessions delivered by clinical and leadership experts, supported by our technology Organised. Upload your own specific training material to our platform to save time and resourses Trusted and Accredited. We have the only management and leadership courses in the world accredited by: World leading content supported by cutting edge technology. Made for healthcare professionals.  Course Content Content to inspire your workforce What is the role of leader? Building and Leading Successful teams CPDwatch Building and Leading Successful teams Building and Leading Successful teams Leading with Values and Ethics CPDwatch Leading with Values and Ethics Leading with Values and Ethics watch Leadership Insights on Leading with Executive Presence Leadership Insights on Leading with Executive Presence watch Leadership Insights on Building & Leading Teams Leadership Insights on Building & Leading Teams watch Leadership Toolkit: Facilitating a Workshop Leadership Toolkit: Facilitating a Workshop watch Leadership Toolkit: Facilitating a Brainstorming Session Leadership Toolkit: Facilitating a Brainstorming Session watch Leadership Toolkit: Running a Team Debrief Leadership Toolkit: Running a Team Debrief watch The Characteristics of an Accountable Leader The Characteristics of an Accountable Leader Leading through Shared Vision CPDwatch Leading through Shared Vision Leading through Shared Vision watch Evaluating Your Management Style Evaluating Your 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Review on Building and Leading Teams MIT Sloan Management Review on Building and Leading Teams read Virtual Leadership: Practical Strategies for Getting the Best Out of Virtual Work and Virtual Teams Virtual Leadership: Practical Strategies for Getting the Best Out of Virtual Work and Virtual Teams read Managing and Leading People through Organizational Change: The Theory and Practice of Sustaining Change through People Managing and Leading People through Organizational Change: The Theory and Practice of Sustaining Change through People read The Effective Change Manager's Handbook: Essential Guidance to the Change Management Body of Knowledge The Effective Change Manager's Handbook: Essential Guidance to the Change Management Body of Knowledge read Choosing to Change: An Alternative Understanding of Change Management Choosing to Change: An Alternative Understanding of Change Management Why leaders should possess emotional intelligence Leading by Developing People CPDwatch Leading by Developing People Leading by Developing People watch Leadership Insights on Critical Thinking Leadership Insights on Critical Thinking watch Knowing When to Think Critically Knowing When to Think Critically Developing Your Critical Thinking and Cognitive Flexibility CPDwatch Developing Your Critical Thinking and Cognitive Flexibility Developing Your Critical Thinking and Cognitive Flexibility Leading through Setting and Managing Priorities CPDwatch Leading through Setting and Managing Priorities Leading through Setting and Managing Priorities watch Managing Priorities Managing Priorities watch Leadership Insights on Leading with Values & Ethics Leadership Insights on Leading with Values & Ethics The Collaborative Leader CPDwatch The Collaborative Leader The Collaborative Leader The Agile Leader CPDwatch The Agile Leader The Agile Leader watch Disruptive Leadership Disruptive Leadership Make The Time You Need: Get Organised CPDwatch Make The Time You Need: Get Organised Make The Time You Need: Get Organised watch Leadership Insights on Emotional Intelligence Leadership Insights on Emotional Intelligence Becoming an Emotionally Intelligent Leader CPDwatch Becoming an Emotionally Intelligent Leader Becoming an Emotionally Intelligent Leader Managing in a Crisis CPDwatch Managing in a Crisis Managing in a Crisis watch Planning Crisis Communications Planning Crisis Communications watch Crisis Management for Leaders Crisis Management for Leaders watch Take a Deep Breath and Manage Your Stress Take a Deep Breath and Manage Your Stress watch Being a Mindful Leader Being a Mindful Leader watch Overcome Emotional Feelings Overcome Emotional Feelings Managing Pressure and Stress to Optimise Your Performance CPDwatch Managing Pressure and Stress to Optimise Your Performance Managing Pressure and Stress to Optimise Your Performance watch Expert Insights on Managing Stress Expert Insights on Managing Stress watch Emotional Intelligence and Effective Leadership Emotional Intelligence and Effective Leadership watch Helping Your Team Work Helping Your Team Work watch Fair and Just Decision Making Fair and Just Decision Making read MIT Sloan Management Review on Setting and Managing Priorities MIT Sloan Management Review on Setting and Managing Priorities read Advances in Authentic and Ethical Leadership Advances in Authentic and Ethical Leadership read Resilient Organisations: How to Survive, Thrive and Create Opportunities Through Crisis and Change Resilient Organisations: How to Survive, Thrive and Create Opportunities Through Crisis and Change read 50 Activities For Managing Stress 50 Activities For Managing Stress read Emotional Intelligence Pocketbook: Little Exercises for an Intuitive Life Emotional Intelligence Pocketbook: Little Exercises for an Intuitive Life read Mindful Leadership: The 9 Ways to Self-Awareness, Transforming Yourself, and Inspiring Others Mindful Leadership: The 9 Ways to Self-Awareness, Transforming Yourself, and Inspiring Others The significance of coaching in your career Developing Successful Coaching Relationships CPDwatch Developing Successful Coaching Relationships Developing Successful Coaching Relationships watch Working on Shared Goals through Teaming Working on Shared Goals through Teaming watch Initiating a Coaching Relationship Initiating a Coaching Relationship watch Coaches Build Self-Confidence Coaches Build Self-Confidence watch Be a Better Coach Be a Better Coach watch Coaching Team Members Coaching Team Members Leading by Developing People CPDwatch Leading by Developing People Leading by Developing People watch Delivering Results While Developing People Delivering Results While Developing People watch How to Increase Engagement How to Increase Engagement watch Leadership Insights on Coaching Leadership Insights on Coaching watch Leadership Insights on Developing Women Leaders Leadership Insights on Developing Women Leaders watch Leadership Insights on Leading Collaboratively Leadership Insights on Leading Collaboratively watch Creating a Vision Creating a Vision watch Becoming A More Effective Delegator Becoming A More Effective Delegator read MIT Sloan Management Review on Leader as Coach Special Collection MIT Sloan Management Review on Leader as Coach Special Collection read Anytime Coaching: Unleashing Employee Performance, Second Edition Anytime Coaching: Unleashing Employee Performance, Second Edition read Coaching and Mentoring: Practical Techniques for Developing Learning and Performance, Third Edition Coaching and Mentoring: Practical Techniques for Developing Learning and Performance, Third Edition read The Extraordinary Coach: How the Best Leaders Help Others Grow The Extraordinary Coach: How the Best Leaders Help Others Grow read Leading the Unleadable: How to Manage Mavericks, Cynics, Divas, and Other Difficult People Leading the Unleadable: How to Manage Mavericks, Cynics, Divas, and Other Difficult People read 100 Ways to Motivate Others: How Great Leaders Can Produce Insane Results without Driving People Crazy, Third Edition 100 Ways to Motivate Others: How Great Leaders Can Produce Insane Results without Driving People Crazy, Third Edition read Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done Communicate Like a Leader: Connecting Strategically to Coach, Inspire, and Get Things Done listen 50 Top Tools for Coaching: A Complete Toolkit for Developing and Empowering People, Third Edition 50 Top Tools for Coaching: A Complete Toolkit for Developing and Empowering People, Third Edition

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Administrator IT support personnel Helpdesk support staff The secondary audience for this course is as follows: Network Engineering Staff Overview Upon completing this course, the learner can meet these overall objectives: Demonstrate an overall understanding of the Cisco Unified Communications Manager (CUCM) system and its environment Configure CUCM to support IP Phones Configure Cisco Unified Communications Manager and IM&Presence to support Cisco Jabber soft client. Configure CUCM to route calls to internal and PSTN destinations Configure User accounts and multi-level administration Demonstrate the use of Self Care Portal functionality Configure user features, including Hunt Groups, Call Pickup, and Call Park. Define the capabilities of and demonstrate the Bulk Administration Tool Define the SMART Licensing model for Cisco Unified Communications Demonstrate the use of the Unified Reporting tool Demonstrate the use of the Dialed Number Analyzer Explain the function of Cisco Unity Connection and the various interfaces that are used to access the system Describe the components that are required for user call processing by Cisco Unity Connection Implement the various features and options that are available to users in Cisco Unity Connection Explore Cisco Unity Connection version features and functions Use the various applications, tools, and reports that are available in Cisco Unity Connection Administering Collaboration Environments (CLACE) is an instructor-led course presented by Skyline-ATS to system administrators and customers involved with the Cisco Unified Communications Manager and Cisco Unity Connection product's day-to-day operation. The CLACE course is the replacement for the CMA / UCA courses. CLACE is a lab-intensive course. The primary focus is learning by performing the configuration tasks. The amount of theory is limited to allow more time for discovery exercises. This course introduces you to the CUCM system, the necessary procedures for administering IP Phones and Users, understanding the Dial Plan, and implementing Features. The course also covers Jabber administration and Cisco Unity Connection administration features, options, and configuration settings. In addition to instructor-led lectures and discussions, you will configure CUCM and Cisco IP Phones in the lab, either in a live classroom or WebEx remote classroom environment. While the CUCM and CUC software used in the class is version 12.5.1, the course material applies to versions 8.x, 9.x, 10.x, 11.x, or 12.x of the applications. The concepts and the lab tasks are the same for most of the software versions. Define Collaboration Technology and Benefits Define Collaboration Benefits Describe On-Premise, Cloud, and Hybrid Deployments Describe On-Premise Collaboration Deployments Describe Cisco's Collaboration Endpoints Describe Cisco Collaboration On-Premise Edge Solutions Describe Cisco's Collaboration On-Premise Conferencing Solutions Describe Cisco Cloud Services Administering Initial Parameters for Cisco Unified Communications Manager Understand the On-Premise Collaboration Deployment Models Describe The Cisco Unified CM Cluster Services Define Network requirements for Collaboration Define Network Services for Collaboration Navigate Cisco Unified CM Discovery 1: Configure Cisco Unified Communications Manager Initial Parameters Explore Cisco Unified CM Groups Discovery 2: Configure the Cisco UCM Core Systems Settings Exploring Endpoints and the Registration Process Identify Cisco Endpoint Solutions Explore the Boot up Process of an Endpoint Describe Power Over Ethernet Discovery 3: Configure an Access Switch for an Endpoint Describe IP Network Settings Discovery 4: Deploy an IP Phone Through Auto and Manual Registration Discovery 5: Administer Endpoints in Cisco Unified Communications Manager Managing Users in Cisco Unified Communications Manager Analyze Cisco UCM Users Types and Settings Describe Methods for Authenticating Cisco UCM Users Discovery 6: Create Local User Accounts Discovery 7: Adding Users in Cisco Unified Communications Manager Describing a Basic Dial Plan Describe the Concepts of a Dial Plan and Call Routing Describe Elements of Call Routing Explore Digit Manipulation and Translation Patterns Discovery 8: Create a Basic Dial Plan Describing Class of Service Explore the Concepts of Class of Control Discovery 9: Explore Partitions and Calling Search Spaces Discovery 10: Explore Private Line Automatic Ringdown (PLAR) Enabling Endpoints and Features Configure a Cisco Jabber Endpoint in Cisco UCM Discovery 11: Implementing Common Endpoint Features (Configuring Hunt Groups and Call Coverage) Explore Mobility Discovery 12: Implement Mobility Implementing Media Resources in Cisco Unified Communications Manager Media Resource Overview Media Resource Selection and Access Control Audio and Video Conference Bridge Devices Audio and Video Conference Bridge Integration Options Discovery 13: Configuring Media Resources Reporting and Maintenance Explore the Troubleshooting Process Describe Reporting and Maintenance Tools Describe the Cisco Real-Time Monitoring Tool Discovery 14: Use Reporting and maintenance Tools Describing Cisco Instant Messaging and Presence Describe Cisco IM and Presence Features and Architecture Clustering Describe Cisco IM and Presence Components and Communication Flows Enabling Jabber Cisco Jabber Deployment Modes Discovery 15: Deploy an On-Premise Cisco Jabber Client for Windows Configure Unity Connection Integration Overview of Cisco Unity Connection Integration SIP Integration Typical Integration Mistakes Integration Considerations Discovery 16: Configure the integration between Cisco Unity Connection and Cisco UCM Discovery 17: Configure Voicemail Users Configuring Cisco Unity Connection Call Handlers Call handler Overview System Call Handler Caller Input Operator Call Handler Goodbye Call Handler Directory Handler Interview Handler Troubleshooting Cisco Unity Connection Overview of Cisco Unity Connection Troubleshooting Options Integration Troubleshooting Tools Cisco Real-Time Monitoring Tool Discovery 18: Troubleshoot Cisco Unity Connection Additional course details: Nexus Humans Cisco Administering Collaboration Environments (CLACE) 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 Administering Collaboration Environments (CLACE) 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.

Getting Started The MSc Project Management programme is designed to show people from any discipline or degree how to manage projects. This programme aims to identify, develop and perform essential skills and techniques needed for expertise in Project Management. The individual with a Qualifi Level 7 Diploma in Business Strategy will be eligible for the MSc Project Management Top Up programme. The programme focuses on enhancing graduate and practising engineers' knowledge and skills in relevant management skills, principles, and procedures. This course equips students with the skills and knowledge necessary to contribute to project management research significantly. The MSc Project Management Top-Up is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, PC or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Assignments and Project No examinations Entry Requirements Qualifi Level 7 Diploma in Business Strategy or any equivalent diploma Further, candidates are also required to demonstrate their English language proficiency. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MSc Project Management Top-Up Programme Structure Project Management Systems Project Management Techniques Dissertation (Major Project) Delivery Methods The MSc Project Management Top-Up is awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, PC or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

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