45698 Courses

Duration 4 Days 24 CPD hours This course is intended for If you want to advance from being a front-end developer to a full-stack developer and learn how Node.js can be used for hosting full-stack applications, this course is for you. Knowledge of JavaScript's basic syntax and experience with popular front-end libraries such as jQuery is required. You should also have used JavaScript with HTML and CSS, but not necessarily Node.js. Overview By the end of this course, you'll have the skills you need to tackle any real-world JavaScript development problem using a modern JavaScript approach, both for client and server sides.After completing this course, you will be able to: Apply the core concepts of functional programming Build a Node.js project that uses the Express.js library to host an API Create unit tests for a Node.js project to validate it Use the Cheerio library with Node.js to create a basic web scraper Develop a React interface to build processing flows Use callbacks as a basic way to bring control back This is your one-stop solution to mastering modern JavaScript. This course covers the latest features of JavaScript and advanced concepts, such as modularity, testing, and asynchronous programming. By the end of the course, you?ll know how to create a full-stack JavaScript application using NodeJS and how to use JavaScript in functional programming. JavaScript, HTML, and the DOM HTML and the DOM Developer Tools Node.js and npm What is Node.js? Node Version Manager (nvm) Node Package Manager (npm) Node.js APIs and Web Scraping Globals FileSystem APIs HTTP APIs What is Scraping? RESTful APIs with Node.js What is an API? What is REST? Useful Defaults and Easy Inputs Middleware The Contents of a JWT MongoDB Modular JavaScript ES6 Modules Object-Oriented Programming (OOP) npm Package? Code Quality Clear Naming Unit Tests Integration Tests End-to-End Testing Puppeteer Advanced JavaScript Language Features Supported in ES5, ES6, ES7, ES8, and ES9 OOP in JavaScript Sorting Maps and Sets Math, Date, and String Symbols, Iterators, Generators, and Proxies Asynchronous Programming Callback Hell Async and Await Event-Driven Programming and Built-In Modules Eventing Node.js Built-In Modules Handling Large Files in Node.js Functional Programming with JavaScript Functions ? First-Class Citizens Pure Functions Higher-Order Functions Function Composition Immutability and Side Effects Introduction to GraphQL Language Schemas and Queries

Duration 2 Days 12 CPD hours This course is intended for Attending students should be new to Jira (this is NOT for experienced users), and are required to have a background in basic Enterprise application development Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment guided by our expert Jira practitioner, students will explore: Getting started with JIRA Using JIRA for Business Projects Using JIRA for Agile Projects Issue Management Field Management Screen Management Workflows and Business Process Searching and Filtering Tracking issues is a critical component of any project management strategy. JIRA provides a web based single repository for creating, tracking and reporting on feature requests, bugs reported, or managing workflow. JumpStart to Jira for End Users is a two-day, lab-intensive course for participants new to Jira, that provides them with a hands-on Jira instance to ?learn by doing?. This course provides essential understanding in the practical use of the Jira in an Agile context, with an emphasis on Best Practices and practical job-ready skills. Getting started with JIRA JIRA Overview Core concepts Terminology Infrastructure Users and Groups JIRA roles Using JIRA for Business Projects Overview of Projects Project types Project screens Tasks and task management Project Management Process Management Using JIRA for Agile Projects Overview of Agile with JIRA (very brief) Kanban overview Running a project with Kanban Configuring agile screen resolving an issue Issue Management Overview of Issues Working with issues Issue cloning Time tracking Issues and comments Tasks and subtasks Field Management Overview of Fields Built-in fields Custom fields Searching Configuring JIRA for fields Screen Management Overview of JIRA screens Working with screens Using screen tabs Issue type screens associating an issue type screen a with a project Customizing JIRA screens Workflow and Business Process Overview of Workflow Mapping business processes Managing workflows Authoring a workflow Updating an existing workflow Workflow schemes Applying a workflow to a project Searching and Reporting Overview of Searching Search screens Basic search Advanced search with JQL Working with search results Reports Dashboards Filters Gadgets Charts Summary and Best Practices Looking back at the ?Big Picture? JIRA Administration Overview Where JIRA fits into the Agile perspective JIRA End-User best practices

Duration 5 Days 30 CPD hours This course is intended for network professionals who are looking to build their foundational knowledge of the ClearPass product portfolio This training combines the following classes into one five day workshop, preparing you for the ACCP certification: ACF-Aruba ClearPass Fundamentals IAC-Implementing Aruba ClearPass Overview Ability to setup ClearPass as a AAA server Demostrate Configuration Guest, Ongurad, Onboard and Profiling features Integrate with External AD Server Understand Monitoring and Reporting Demostrate Scaling and deployment of best practices It prepares participants with foundational skills in Network Access Control using the ClearPass product portfolio. This 5-day classroom session includes both modules and labs to teach participants about the major features of the ClearPass portfolio Intro to ClearPass BYOD High Level Overview Posture and Profiling Guest and Onboard ClearPass for AAA Policy Service Rules Authentication Authorization and Roles Enforcement Policy and Profiles Authentication and Security Concepts Authentication Types Servers Radius COA Active Directory Certificates Intro to NAD NAD Devices Adding NAD to ClearPass Network Device Groups Network Device Attributes Aruba Controller as NAD Aruba Switch Aruba Instant Monitoring and Troubleshooting Monitoring Troubleshooting Logging Policy Simulation ClearPass Insight Insight Dashboard Insight Reports Insight Alerts Insight Search Insight Administration Insight Replication Active Directory Adding AD as Auth Source Joining AD domain Using AD services External Authentication Multiple AD domains LDAP Static Host Lists SQL Database External Radius Server Guest Guest Account creation Web Login pages Guest Service configuration Self-registration pages Configuring NADS for Guest Guest Manager Deep Dive Web Login Deep Dive Sponsor Approval MAC Caching Onboard Intro to Onboard Basic Onboard Setup Onboard Deepdive Single SSID Onboarding Dual SSID Onboarding Profiling Intro to Profiling Endpoint Analysis Deep Dive Posture Intro to Posture Posture Deployment Options OnGuard Agent Health Collection OnGuard workflow 802.1x with Posture using Persistent/dissolvable agent OnGuard web LoginMonitoring and Updates Operation and Admin Users Operations Admin Users Clustering and Redundancy Clustering Redundancy LAB Licensing ClearPass Licensing Base License Applications Single Sign-On Deployment Options ClearPass Admin Login SSO Access Network SSO ASO-Auto-Sign On Configuration and Demo ClearPass Exchange Intro Examples General HTTP Palo Alto Firewall Configuration Case Study Objectives Discussion Advanced Labs Overview

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Getting Started Effective management ensures quality patient care and organisational success in the rapidly evolving healthcare industry. The MSc Healthcare Management programme equips healthcare professionals with the necessary skills and knowledge for leadership and management roles. The MSc Healthcare Management programme offers a comprehensive learning experience that provides students with the knowledge, skills and emotional tools needed to meet the challenges of managing healthcare organisations. The MSc Healthcare Management programme provides healthcare professionals with a unique opportunity to excel in their careers and contribute to the ever-evolving field of healthcare management. This programme empowers students to become effective leaders by combining theoretical knowledge with practical application, driving positive change in healthcare organisations. Moreover, the programme enhances career prospects, offers specialisation in healthcare management, fosters networking opportunities and promotes practical application through real-world case studies. It prepares graduates for senior leadership roles, empowering them to make a meaningful impact in the healthcare industry. The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Health and Social Care, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the MSc Healthcare Management Top Up, 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 MSc Healthcare Management 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 Applicants should normally have a good first degree or equivalent and be working in or have recently worked within the arena of Management and Leadership in healthcare. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University. Progression Enrolling in the MSc Healthcare Management programme will give you comprehensive knowledge of health service management and leadership approaches. This programme will equip you with the skills to identify and develop corporate marketing strategies for health services and implement transformational change programmes. As a graduate, you will have various career paths available, including opportunities in public services or global non-governmental organisations. Furthermore, graduating from the programme doesn't have to mark the end of your educational journey. You may pursue a postgraduate research programme, such as the Professional Doctorate in Health and Social Care, to further advance your expertise in the field. 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 Phase-1 - Qualifi Level 7 Diploma in Health and Social Care Programme Structure The QUALIFI Level 7 Diploma in Health and Social Care is made up of 120 credits, which equates to hours 1200 hours of TQT. All units will be internally assessed through written assignments. Unit HSC701: Health and Social Care Leadership Unit code: A/650/4192 Credit : 20 TQT : 200 This unit aims to offer learners a comprehensive grasp of leadership theories and styles, enabling them to critically assess the leadership role and choose and implement suitable leadership approaches. Unit HSC702: Managing People in Health and Social Care Unit code: D/650/4193 Credit : 20 TQT : 200 The objective of this unit is to empower the learner with the capability to comprehend the procedures associated with recruiting, managing, and nurturing individuals within the health and social care workplace. Unit HSC703: Managing Finance in the Health and Social Care Sector Unit code: F/650/4194 Credit : 20 TQT : 200 This unit addresses the essential knowledge and comprehension required for making financially informed decisions within health and social care organisations. Studying this unit while considering the local, national, and international legal frameworks and adhering to best practices related to finance is crucial. Unit HSC703: Managing Finance in the Health and Social Care Sector Unit code: F/650/4194 Credit : 20 TQT : 200 This unit addresses the essential knowledge and comprehension required for making financially informed decisions within health and social care organisations. Studying this unit while considering the local, national, and international legal frameworks and adhering to best practices related to finance is crucial. Unit HSC704: Health and Social Care Strategies and Policies Unit code: H/650/4195 Credit : 20 TQT : 200 This unit aims to delve into global health and social care policies and examine current political, social, and cultural factors influencing healthcare policy and strategy in both national and international contexts. Unit HSC705: Leading Change in Health and Social Care Unit code: J/650/4196 Credit : 20 TQT : 200 This unit aims to enhance learners' comprehension of people management within organisations, encompassing aspects such as recruitment, HR processes, performance management, rewards and recognition, and training and development. Unit HSC706: Research Methods for Healthcare Professionals Unit code: K/650/4197 Credit : 20 TQT : 200 This unit aims to cultivate learners' research skills, encompassing diverse research approaches, formulating research proposals, strategically planning research endeavours, data analysis and interpretation, and understanding the link between research and evidence-based practice.   Phase-2 - MSc Healthcare Management Top Up Programme Structure Postgraduate Research Design Major Project (Dissertation) Delivery Methods The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Health and Social Care, awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MSc Healthcare Management Top Up, 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 MSc Healthcare Management 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.

Are you a manager in Early Years? Do you need some new skills to help manage your teams and be the best you can be? Then have a look at what this course covers and get in touch to book. Week 1. Exploring the role of a Manager in Early Years. Characteristics of an effective manager. Exploring different Leadership Styles and identifying your own. Looking after your own wellbeing. Week 2. How to manage difficult Conversations Exploring different personality types. Developing resillience. 4 Step process for managing a difficult conversation. Week 3. Creating Connection & Belonging within your team The importance of Connecting with a Diverse team. How to create a culture of connection & belonging. An introduction to Leading with Emotional Intelligence. We deliver this session on a one to one virtual platform or face to face. We can deliver to small groups but please contact us separately for costings. This specific course is for training one person at a time.

Duration 3 Days 18 CPD hours This course is intended for Cluster administrators (Junior systems administrators, junior cloud administrators) interested in deploying additional clusters to meet increasing demands from their organizations. Cluster engineers (Senior systems administrators, senior cloud administrators, cloud engineers) interested in the planning and design of OpenShift clusters to meet performance and reliability of different workloads and in creating work books for these installations. Site reliability engineers (SREs) interested in deploying test bed clusters to validate new settings, updates, customizations, operational procedures, and responses to incidents. Overview Validate infrastructure prerequisites for an OpenShift cluster. Run the OpenShift installer with custom settings. Describe and monitor each stage of the OpenShift installation process. Collect troubleshooting information during an ongoing installation, or after a failed installation. Complete the configuration of cluster services in a newly installed cluster. Installing OpenShift on a cloud, virtual, or physical infrastructure. Red Hat OpenShift Installation Lab (DO322) teaches essential skills for installing an OpenShift cluster in a range of environments, from proof of concept to production, and how to identify customizations that may be required because of the underlying cloud, virtual, or physical infrastructure. This course is based on Red Hat OpenShift Container Platform 4.6. 1 - Introduction to container technology Describe how software can run in containers orchestrated by Red Hat OpenShift Container Platform. 2 - Create containerized services Provision a server using container technology. 3 - Manage containers Manipulate prebuilt container images to create and manage containerized services. 4 - Manage container images Manage the life cycle of a container image from creation to deletion. 5 - Create custom container images Design and code a Dockerfile to build a custom container image. 6 - Deploy containerized applications on OpenShift Deploy single container applications on OpenShift Container Platform. 7 - Troubleshoot containerized applications Troubleshoot a containerized application deployed on OpenShift. 8 - Deploy and manage applications on an OpenShift cluster Use various application packaging methods to deploy applications to an OpenShift cluster, then manage their resources. 9 - Design containerized applications for OpenShift Select a containerization method for an application and create a container to run on an OpenShift cluster. 10 - Publish enterprise container images Create an enterprise registry and publish container images to it. 11 - Build applications Describe the OpenShift build process, then trigger and manage builds. 12 - Customize source-to-image (S2I) builds Customize an existing S2I base image and create a new one. 13 - Create applications from OpenShift templates Describe the elements of a template and create a multicontainer application template. 14 - Manage application deployments Monitor application health and implement various deployment methods for cloud-native applications. 15 - Perform comprehensive review Create and deploy cloudinative applications on OpenShift.

Duration 3 Days 18 CPD hours This course is intended for Organizations today demand a professional-level cybersecurity threat intelligence analyst who can extract the intelligence from data by implementing various advanced strategies. Such professional-level programs can only be achieved when the core of the curricula maps with and is compliant to government and industry published threat intelligence frameworks. Ethical Hackers Security Practitioners, Engineers, Analysts, Specialist, Architects, and Managers Threat Intelligence Analysts, Associates, Researchers, Consultants Threat Hunters SOC Professionals Digital Forensic and Malware Analysts Incident Response Team Members Any mid-level to high-level cybersecurity professionals with a minimum of 2 years of experience. Individuals from the information security profession and who want to enrich their skills and knowledge in the field of cyber threat intelligence. Individuals interested in preventing cyber threats. Overview This program will benefit students who are looking to build effective threat intelligence for their organization in order to combat modern-day cyber-attacks and prevent future attacks. Certified Threat Intelligence Analyst (C|TIA) is designed and developed in collaboration with cybersecurity and threat intelligence experts across the globe to help organizations identify and mitigate business risks by converting unknown internal and external threats into known threats. It is a comprehensive, specialist-level program that teaches a structured approach for building effective threat intelligence. Introduction to Threat Intelligence Understanding Intelligence Understanding Cyber Threat Intelligence Overview of Threat Intelligence Lifecycle and Frameworks Cyber Threats and Kill Chain Methodology Understanding Cyber Threats Understanding Advanced Persistent Threats (APTs) Understanding Cyber Kill Chain Understanding Indicators of Compromise (IoCs) Requirements, Planning, Direction, and Review Understanding Organization?s Current Threat Landscape Understanding Requirements Analysis Planning Threat Intelligence Program Establishing Management Support Building a Threat Intelligence Team Overview of Threat Intelligence Sharing Reviewing Threat Intelligence Program Data Collection and Processing Overview of Threat Intelligence Data Collection Overview of Threat Intelligence Collection Management Overview of Threat Intelligence Feeds and Sources Understanding Threat Intelligence Data Collection and Acquisition Understanding Bulk Data Collection Understanding Data Processing and Exploitation Data Analysis Overview of Data Analysis Understanding Data Analysis Techniques Overview of Threat Analysis Understanding Threat Analysis Process Overview of Fine-Tuning Threat Analysis Understanding Threat Intelligence Evaluation Creating Runbooks and Knowledge Base Overview of Threat Intelligence Tools Intelligence Reporting and Dissemination Overview of Threat Intelligence Reports Introduction to Dissemination Participating in Sharing Relationships Overview of Sharing Threat Intelligence Overview of Delivery Mechanisms Understanding Threat Intelligence Sharing Platforms Overview of Intelligence Sharing Acts and Regulations Overview of Threat Intelligence Integration

This one-day course will help you meet your regulatory requirements if your risk assessment indicates that first aid training covering emergency protocols only, is sufficient for your workplace.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.