44799 Courses

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Customers, cloud architects, systems engineers, data center administrators Network administrators with experience in managed services or managing a Telco Cloud environment Overview By the end of the course, you should be able to meet the following objectives: Deploy VMware Telco Cloud Service Assurance Manage VMware Telco Cloud Service Assurance to satisfy Telco cloud provider needs Discuss configurable options for VMware Telco Cloud Service Assurance Identify and configure different data sources which are used with VMware Telco Cloud Service Assurance Configure different collectors in VMware Telco Cloud Service Assurance Identify the Root Cause Analysis options with VMware Telco Cloud Service Assurance Discuss data collection in VMware Telco Cloud Service Assurance Explain root cause analysis in VMware Telco Cloud Service Assurance Navigate through the logs for troubleshooting This three-day, hands-on training course provides the knowledge, skills, and tools to achieve competency in installing, configuring, and managing the VMware Telco Cloud Service Assurance environment. In this course, you are introduced to the installation methods of VMware Telco Cloud Service Assurance? across various supported platforms and troubleshooting tools that help you install, manage, and troubleshoot your VMware Telco Cloud Service Assurance environment. In addition, you are presented with various types of configuration options, which you will identify, analyze, and navigate through as you explore the UI and configurable options of the product. Course Introduction Introduction and course logistics Course objectives Introduction to VMware Telco Cloud Service Assurance Describe the features of VMware Telco Cloud Service Assurance List the capabilities of VMware Telco Cloud Service Assurance Discuss the use cases of VMware Telco Cloud Service Assurance Describe the role played by VMware Telco Cloud Service Assurance components in delivering service assurance Deploying VMware Telco Cloud Service Assurance Explain different deployment options of VMware Telco Cloud Service Assurance Identify different deployment methods of VMware Telco Cloud Service Assurance Discuss different phases in deploying VMware Telco Cloud Service Assurance Identify different footprints available for HA based and non-HA based installation of VMware Telco Cloud Service Assurance Describe the SMARTs components of VMware Telco Cloud Service Assurance Deploy VMware Telco Cloud Service Assurance User Access Control Describe the features Role-based Access Control (RBAC) Outline the role of Keycloak in implementing RBAC in VMware Telco Cloud Service Assurance Configure user federation in Keycloak Use the VMware Telco Cloud Service Assurance UI to manage RBAC Create policies in VMware Telco Cloud Service Assurance that align with job roles Services and User Interface Configurations Describe the architecture of logical switching Describe the core services on a TCSA cluster Discuss the Global Manager or Service Assurance Manager (SAM), IP Domain Manager, Server Manager (ESM) Discuss VMware Telco Cloud Service Assurance UI Overview Explain Working with Notifications Elaborate Configuring Summary's Describe Accessing Notification Details Explain Viewing and configuring Topologies List Customizing Topologies Describe Topology Explorer Explain Collecting Troubleshooting Information Discuss Custom models Describe how compute resources are provided to VMware Telco Cloud Service Assurance Describe how storage is provided to VMware Telco Cloud Service Assurance Configure and manage VMware Telco Cloud Service Assurance Discuss configurable options for VMware Telco Cloud Service Assurance Day 1 and Day 2 Operations Review the architecture of logical routing and NSX Edge nodes Identify different data sources to be used with VMware Telco Cloud Service Assurance Configure different collectors with VMware Telco Cloud Service Assurance Describe Alarms and Thresholds Demonstrate how to configure alarms with VMware Telco Cloud Service Assurance Explain how to setup thresholds and timelines in VMware Telco Cloud Service Assurance Define Catalog management and sharing catalogs inside and between organizations. Identify the steps to import or upload data into catalogs. Explain the purpose of catalogs and How to Create a catalog organization. Describe the Purpose and Usage of Open Virtualization Format (OVA) and Custom vApp or VM Properties. Discuss vApp Templates Logs and Troubleshooting Review the architecture of the Distributed Firewall Discuss VMware Telco Cloud Service Assurance installations logs List Smarts installation logs Explain backup and restore options of VMware Telco Cloud Service Assurance Identify the approach for troubleshooting containerized services Discuss monitoring services

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and network administrators Network and security professionals who work with enterprise and data center networks Overview By the end of the course, you should be able to meet the following objectives: Use the native tools available in NSX-T Data Center to identify and troubleshoot the problems related to the NSX-T Data Center environment Use VMware vRealize Log Insight™ and VMware vRealize Network Insight™ to identify and troubleshoot the problems related to the NSX-T Data Center environment Explain the NSX-T Data Center infrastructure components and the communications between them Identify, analyze, and troubleshoot problems related to the management, control, and data planes in NSX-T Data Center Identify, analyze, and troubleshoot problems related to infrastructure preparation in NSX-T Data Center Identify, analyze, and troubleshoot problems related to logical switching and logical routing in NSX-T Data Center Identify, analyze, and troubleshoot network security problems related to the NSX-T Data Center Distributed and Gateway firewalls Identify, analyze, and troubleshoot problems related to VPN and the VMware NSX Advanced Load Balancer™ Identify the components and packet flows involved in the NSX-T Data Center datapath and troubleshoot related problems This five-day, hands-on training course provides the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware NSX-T? Data Center environment. In this course, you are introduced to workflows of various networking and security constructs along with several operational and troubleshooting tools that help you manage and troubleshoot your NSX-T Data Center environment.In addition, you are presented with various types of technical problems, which you will identify, analyze, and solve through a systematic process. Course Introduction Introduction and course logistics Course objectives NSX-T Data Center Operations and Tools Explain and validate the native troubleshooting tools (dashboards, Traceflow, live traffic analysis, port mirroring) for the NSX-T Data Center environment Configure syslog, IPFIX, and log collections for the NSX-T Data Center environment Integrate NSX-T Data Center with vRealize Log Insight and vRealize Network Insight Validate and review the API methods available to configure the NSX-T Data Center environment Troubleshooting the NSX Management Cluster Describe the NSX Management cluster architecture, components, and communication channels Identify the workflows involved in configuring the NSX Management cluster Validate and troubleshoot the NSX Management cluster formation Troubleshooting Infrastructure Preparation Describe the data plane architecture, components, and communication channels Explain and troubleshoot VMware ESXi? transport node preparation issues Explain and troubleshoot KVM transport node preparation issues Explain and troubleshoot VMware NSX© Edge? transport node preparation issue Troubleshooting Logical Switching Describe the architecture of logical switching List the modules and processes involved in configuring logical switching Explain the importance of N-VDS and VDS in transport nodes Describe the procedure to migrate from N-VDS to VDS Review the architecture and workflows involved in attaching workloads to segments Identify and troubleshoot common logical switching issues Troubleshooting Logical Routing Review the architecture of logical routing and NSX Edge nodes Explain the workflows involved in the configuration of Tier-0 and Tier-1 gateways Explain the high availability modes and validate logical router placements Identify and troubleshoot common logical routing issues using both BGP and OSPF Troubleshooting Security Review the architecture of the Distributed Firewall Explain the workflows involved in configuring the Distributed Firewall Review the architecture of the Gateway Firewall Explain the workflows involved in configuring the Gateway Firewall Identify and troubleshoot common distributed firewall and Gateway Firewall issues Troubleshooting the NSX Advanced Load Balancer and VPN Services Review the NSX Advanced Load Balancer architecture and components Identify and troubleshoot common NSX Advanced Load Balancer issues Review of IPsec and L2 VPN architecture and components Identify and troubleshoot common IPsec and L2 VPN issues Datapath Walkthrough Verify and validate the path of the packet on the NSX datapath (East-West and South-North) Identify and perform packet captures at various points in the datapath Use NSX CLI and native hypervisor commands to retrieve configurations involved in the NSX datapath

This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment

Sales Overview: Diploma in Transport Economics and Finance Are you ready to embark on a journey towards mastering the intricate dynamics of transportation economics and finance? Look no further than our comprehensive Diploma in Transport Economics and Finance. This cutting-edge program is meticulously designed to equip you with the knowledge, skills, and insights needed to excel in the dynamic field of transportation management.   Key Modules: Introduction to Transport Economics and Finance: Lay the foundation for your understanding of transport economics and finance with this introductory module. Explore key concepts, theories, and frameworks that underpin the transportation industry, setting the stage for deeper exploration. Transportation Demand and Supply: Delve into the principles of transportation demand and supply dynamics. Gain insights into factors influencing transportation preferences, behaviors, and market trends. Understand how supply chains, logistics, and consumer behavior shape the transportation landscape. Transportation Markets and Government Regulation: Navigate the complexities of transportation markets and the regulatory environment. Explore the role of government policies, regulations, and interventions in shaping transportation systems, market competition, and industry dynamics. Financing Transportation Infrastructure: Uncover the intricacies of financing transportation infrastructure projects. Learn about funding mechanisms, public-private partnerships, investment strategies, and risk management practices essential for sustainable infrastructure development. Economic and Social Impacts of Transportation Infrastructure Investment: Explore the broader economic and social impacts of transportation infrastructure investment. Analyze the effects on economic growth, job creation, accessibility, equity, and community development, fostering a holistic understanding of transportation projects' implications. Transportation Policy and Planning: Dive into transportation policy formulation and strategic planning processes. Examine best practices in policy development, implementation, and evaluation, addressing diverse stakeholder interests, environmental concerns, and urban planning considerations. Transportation and the Environment: Address the critical intersection of transportation and environmental sustainability. Explore strategies for mitigating environmental impacts, reducing carbon emissions, promoting sustainable transportation modes, and fostering green transportation policies.   Why Choose Our Diploma Program? Comprehensive Curriculum: Our diploma program offers a comprehensive curriculum covering a wide spectrum of topics relevant to transportation economics and finance, providing you with a well-rounded understanding of the field. Expert Faculty: Learn from industry experts, seasoned professionals, and academic scholars with real-world experience and insights into the transportation industry's complexities. Flexible Learning: Enjoy the flexibility of online learning, allowing you to study at your own pace and convenience while balancing other commitments. Practical Applications: Gain practical skills and knowledge that can be directly applied to real-world transportation challenges, enhancing your professional capabilities and career prospects. Networking Opportunities: Connect with fellow students, industry professionals, and alumni networks, fostering valuable relationships and opportunities for collaboration and career advancement.   Unlock your potential and take your career in transportation economics and finance to new heights with our Diploma Program. Enroll today and embark on a transformative learning journey towards becoming a proficient and visionary leader in the transportation industry. Course Curriculum Module 1: Introduction to Transport Economics and Finance Introduction to Transport Economics and Finance 00:00 Module 2: Transportation Demand and Supply Transportation Demand and Supply 00:00 Module 3: Transportation Markets and Government Regulation Transportation Markets and Government Regulation 00:00 Module 4: Financing Transportation Infrastructure Financing Transportation Infrastructure 00:00 Module 5: Economic and Social Impacts of Transportation Infrastructure Investment Economic and Social Impacts of Transportation Infrastructure Investment 00:00 Module 6: Transportation Policy and Planning Transportation Policy and Planning 00:00 Module 7: Transportation and the Environment Transportation and the Environment 00:00

leadership management training course

leadership management training course

Truth on the Roof is a special project dedicated to conscious storytelling, offering young individuals the opportunity to express themselves and engage in discussions about various social issues through art forms like poetry, music, and spoken word.

Introducing the 'Diploma in Aviation Human Factors and Crew Resource Management'   Unlock the keys to safer and more efficient aviation operations with our comprehensive Diploma program in Aviation Human Factors and Crew Resource Management (CRM). This specialized curriculum is meticulously crafted to equip aviation professionals with the critical knowledge and skills necessary to enhance safety, minimize human error, and optimize crew performance.   Module 1: Introduction to Aviation Human Factors and CRM Embark on your journey with a solid foundation in the principles of Aviation Human Factors and Crew Resource Management. Understand the fundamental concepts that shape the interaction between humans and aviation systems. This module lays the groundwork for the subsequent specialized topics, setting the stage for a holistic approach to safety and efficiency in the aviation industry.   Module 2: Organizational Factors in Aviation Human Factors and CRM Delve into the organizational aspects that influence human performance in aviation. Learn how organizational structures, culture, and management practices impact crew dynamics and overall safety. Develop strategies to create a culture that fosters open communication, accountability, and continuous improvement.   Module 3: Human Factors in Aviation Accidents and Incidents Examine real-world case studies to gain insights into the role of human factors in aviation accidents and incidents. Analyze the contributing factors and develop a deep understanding of how human errors can lead to adverse outcomes. Equip yourself with the knowledge to identify potential risks and implement proactive measures to prevent incidents.   Module 4: Crew Resource Management Master the art of effective team collaboration with a focus on Crew Resource Management. Explore communication techniques, leadership skills, and teamwork strategies essential for optimizing crew performance in diverse and challenging aviation environments. Acquire the tools to mitigate conflicts and enhance decision-making within the crew.   Module 5: Situational Awareness Sharpen your ability to perceive, comprehend, and project situational awareness in dynamic aviation scenarios. Understand the factors that influence situational awareness and learn to maintain a high level of awareness to make timely and informed decisions. Cultivate the skills necessary to stay ahead of the complexities inherent in aviation operations.   Module 6: Decision Making Navigate the complexities of decision-making in aviation with a focus on critical thinking and problem-solving. Develop the ability to make sound decisions under pressure and uncertainty. Explore decision-making models and scenarios that are relevant to the aviation industry, ensuring that you are well-prepared to handle challenges with confidence.   Why Choose Our Diploma Program? Expert Faculty: Learn from industry experts and experienced professionals who bring real-world insights to the classroom. Interactive Learning: Engage in practical simulations, case studies, and interactive exercises to reinforce theoretical knowledge. Global Recognition: Enhance your credentials with a diploma that is recognized globally, opening doors to career opportunities worldwide. Career Advancement: Equip yourself with the skills and knowledge demanded by the aviation industry, positioning yourself for career growth and advancement.   Enroll in our Diploma in Aviation Human Factors and Crew Resource Management today and elevate your career to new heights. Safety, efficiency, and excellence await! Course Curriculum Module 1_ Introduction to Aviation Human Factors and CRM Introduction to Aviation Human Factors and CRM 00:00 Module 2_ Organizational Factors in Aviation Human Factors and CRM Organizational Factors in Aviation Human Factors and CRM 00:00 Module 3_ Human Factors in Aviation Accidents and Incidents Human Factors in Aviation Accidents and Incidents 00:00 Module 4_ Crew Resource Management Crew Resource Management 00:00 Module 5_ Situational Awareness Situational Awareness 00:00 Module 6_ Decision Making Decision Making 00:00

🌟 Unlock Your Professional Potential with the Care Certificate - 15 Standards Online Course! 🌟 Are you ready to elevate your career in the healthcare and social care sector? Look no further! Introducing our comprehensive online course - the 'Care Certificate - 15 Standards.' Designed to equip you with essential skills and knowledge, this course covers a range of critical modules that will empower you to excel in your role and make a positive impact on the lives of those you care for.   🚀 What You'll Gain: 👉 Standard 1 - Your Role and Responsibilities: Understand and excel in your unique role within the healthcare and social care environment. 👉 Standard 2 - Your Personal Development: Foster your growth with a focus on continuous improvement and personal development. 👉 Standards 3 & 4 - Safeguarding Children and Adults: Learn to create safe environments and protect vulnerable individuals from harm. 👉 Standard 5 - Person-Centered Care: Develop skills to provide individualized, compassionate care that respects the dignity of each person. 👉 Standard 6 - Infection Prevention and Control: Master techniques to prevent and control the spread of infections, ensuring a safe and hygienic environment. 👉 Standard 7 - Health and Safety: Prioritize the well-being of both yourself and those under your care by understanding and implementing health and safety practices. 👉 Standard 8 - Fluids and Nutrition: Gain insights into maintaining optimal hydration and nutrition for improved overall health. 👉 Standard 9 - Equality and Diversity: Embrace diversity and promote equal opportunities for all, fostering an inclusive environment. 👉 Standard 10 - Duty of Care: Understand your responsibilities and obligations towards the well-being of individuals in your care. 👉 Standard 11 - Data Protection and Confidentiality: Safeguard sensitive information and uphold confidentiality to maintain trust and compliance. 👉 Standard 12 - Communication: Hone your communication skills to enhance collaboration and understanding within your team. 👉 Standard 13 - Basic Life Support: Acquire life-saving skills to respond effectively in emergency situations. 👉 Standard 14 - Caring for Mental Health: Develop a compassionate approach to supporting individuals with mental health challenges. 👉 Standard 15 - Privacy and Dignity: Respect the privacy and dignity of individuals in your care, ensuring a person-centered approach.   🌐 Why Choose Our Course: ✅ Flexible Learning: Access the course anytime, anywhere, fitting seamlessly into your busy schedule. ✅ Expert Instructors: Learn from industry professionals with extensive experience in healthcare and social care. ✅ Interactive Modules: Engage with dynamic content, quizzes, and practical scenarios to reinforce your learning. ✅ Certification: Receive a prestigious certificate upon completion, enhancing your professional credibility.   🔥 Don't Miss Out on This Opportunity to Excel in Your Career! Enroll Now and Transform Your Professional Journey! 🔥   Invest in yourself and make a difference in the lives of those you care for. The Care Certificate - 15 Standards is your key to unlocking a fulfilling and impactful career in healthcare and social care. Enroll now and embark on a journey of personal and professional growth!   Course Curriculum Standard 1 - Your role and responsibilities Your role and responsibilities 00:00 Standard 2 - Your personal development Your personal development 00:00 Standard 3 - Safeguarding children Safeguarding children 00:00 Standard 4 - Safeguarding adults Safeguarding adults 00:00 Standard 5 - Person-centered care Person-centered care 00:00 Standard 6 - Infection prevention and control Infection prevention and control 00:00 Standard 7 - Health and safety Health and safety 00:00 Standard 8 - Fluids and nutrition Fluids and nutrition 00:00 Standard 9 - Equality and diversity Equality and diversity 00:00 Standard 10 - Duty of care Duty of care 00:00 Standard 11 - Data protection and confidentiality Data protection and confidentiality 00:00 Standard 12 - Communication Communication 00:00 Standard 13 - Basic life support Basic life support 00:00 Standard 14 - Caring for Mental Health Caring for Mental Health 00:00 Standard 15 - Privacy and Dignity Privacy and Dignity 00:00

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.