14959 AI courses in Liverpool delivered Online

ChatGPT for Marketing and Productivity with AI Tools Course Overview: This course provides an in-depth exploration of ChatGPT and other AI tools in the context of marketing and productivity. Designed for individuals keen on integrating AI into their business strategies, it covers essential techniques and applications to enhance marketing efforts and streamline work processes. Learners will gain insights into leveraging AI for targeted campaigns, content creation, and automation, while also learning how to increase personal and team productivity using AI tools. By the end of the course, learners will have a clear understanding of how to apply AI-driven solutions to achieve measurable results in marketing and productivity. Course Description: In this course, learners will explore the dynamic field of AI-powered marketing and productivity tools. Key topics include the AI Marketing Playbook, which introduces learners to the fundamentals of using AI in marketing, followed by strategies for utilising ChatGPT and other AI tools for content creation, social media campaigns, and customer engagement. Additionally, learners will discover various AI tools designed to optimise productivity, including project management, data analysis, and communication tools. This course provides a comprehensive approach, equipping learners with the knowledge to harness AI’s capabilities in improving both marketing efforts and workplace efficiency. ChatGPT for Marketing and Productivity with AI Tools Curriculum: Module 01: The AI Marketing Playbook Module 02: How to Use ChatGPT and AI for Marketing Module 03: Productivity with AI Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their marketing efforts with AI. Professionals aiming to boost their productivity using AI-driven tools. Beginners with an interest in AI technologies and marketing. Business owners looking to streamline marketing and productivity. Career Path: Digital Marketing Specialist Marketing Automation Expert AI Solutions Specialist Productivity Consultant Marketing Manager

This course provides basic introductory guidance to FinTech. You will be using an easy programming language R to learn some basic statistics in money management. You will also understand how to time the stock market and build tradeable factor-based algorithms from scratch. This course provides some of the most basic rules of thumb and intuition that every successful trader should know.

Learn everything you need to know to be fully competent with Window OS. This syllabus takes you around the basics and then on another deep dive into all the elements. Discover things you never knew and speed up your experience using Windows OS. Module 1: Introduction to Windows OS • Understanding the Windows operating system • Navigating the Windows interface • Customizing system settings and preferences Module 2: File Management • Managing files and folders in Windows Explorer • Copying, moving, and renaming files • Using the Recycle Bin and data recovery Module 3: Windows Built-in Apps • Using Microsoft Edge for web browsing • Effective web searching using search engines • Email management with Windows Mail • Calendar and task management with Windows Calendar Module 4: Software Installation and Updates • Installing and updating software applications • Managing and uninstalling programs • Windows Store and app installations Module 5: Microsoft Office Basics • Introduction to Microsoft Office suite • Using Microsoft Word for document creation • Basic spreadsheet management with Microsoft Excel Module 6: Microsoft Office Intermediate Skills • Advanced features in Microsoft Word • Creating and formatting spreadsheets in Microsoft Excel • Creating dynamic presentations with PowerPoint Module 7: Multimedia and Graphics • Basic image editing with Paint • Using Windows Photo app for photo management • Creating graphics with Paint 3D Module 8: Productivity and Collaboration • Using OneDrive for cloud-based storage and collaboration • Working with Windows Sticky Notes and To-Do • Collaborative editing with Microsoft Office Online Module 9: Troubleshooting and Maintenance • Identifying and resolving common Windows issues • Using Task Manager for performance monitoring • Maintenance tasks for Windows OS Module 10: Windows Security and Privacy • Overview of Windows security features • Online safety and privacy best practices • Protecting personal data and devices Module 11: Advanced Windows Features • Customizing the Windows Start Menu and Taskbar • Using Cortana for voice commands and search • Virtual desktops and advanced multitasking Module 12: Using AI and Chat GPT • Introduction to AI and Chat GPT technology • Exploring AI-powered features in Windows • Using Chat GPT for productivity and assistance Module 13: Browsing and Search Engines • Effective use of web browsers • Utilizing search engines for research • Online safety and privacy while browsing Module 14: Cybersecurity • Understanding cybersecurity threats • Protecting against malware and phishing attacks • Secure online practices and password management Module 15: Software Installation and Factory Reset • Installing and updating software applications • Factory resetting a Windows device • Data backup and recovery during resets Module 16: Final Projects and Assessment • Culminating projects showcasing Windows OS skills • Practical exams assessing Windows software knowledge and skills • Preparing for industry-recognized certifications (optional) Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Duration 3 Days 18 CPD hours This course is intended for Senior Consultants (both functional and technical) that aspire to be Solution Architects, or current Solution Architects that are new to the role. The Solution Architect is responsible for the successful design, implementation, deployment and adoption of an overall solution. The Solution Architect ensures that the solution meets the customer?s needs now and in the future. In this course, students will learn about decisions a Solution Architect makes during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more. This course is designed to give you an introduction to the Solution Architect role. Becoming a Solution Architect/Getting to know your customer Define a Solution Architect Role of a Solution Architect on projects Project Methodology Getting to know your customer Group exercise - Getting to know your customer Conceptualizing the design from requirements How to lead the requirement collection effort Using fit gap analysis Pillars of good architecture Blueprinting the solution architecture Group exercise - Design from requirements Project governance and working as a team Solution Architect's role in project governance Techniques for keeping a project on track Scenarios that could cause a project to fail Group exercise - Project governance and working as a team Power Platform Architecture Key Power Platform architecture components Understand how platform design and limits influence solution architectures Updates and feature releases Understand how to communicate how the platform meets customer needs Data Modeling Data model influences Data model strategy Data types Data relationships Group exercise - Data modeling Analytics and artificial intelligence Planning and evaluating requirements Operational reporting Power BI Enterprise BI Pre-built insights and custom AI Power Apps Architecture Discuss options for apps and how to choose where to start Discuss app composition options Using components as part of your app architecture Considerations for including Portals as an app in your architecture Group exercise - Power Apps Architecture topics Application Lifecycle Management (ALM) Microsoft vision and Solution Architect's role in ALM Environment strategies Defning a solution structure for your deliverable Power Automate Architecture Discuss options for automation and custom logic Review considerations for using triggers and common actions Explore using Business Process Flows (BPF) to guide users through business processes Group Exercise - Evaluate scenarios for Power Automate usage Security Modeling Solution Architect's role in security modeling Discovery and learning your client's environment Controlling access to environments and resources Controlling access to CDS Data Group Exercise - Security Modeling Integration Solution Architects role in Integrations What is an integration and why do we need it Platform features that enable integration CDS Event Publishing Scenarios for group discussion Dynamics 365 Applications Architecture Solution Architect's role when deploying Dynamics 365 apps Architecture Considerations for primary apps Group Exercise - App specific working groups evaluate requirements Power Virtual Agents architecture Introduction Chatbot options Chatbot concepts Best practices Integrate chatbots Power Virtual Agents in Microsoft Teams Robotic Process Automation Introduction Power Automate Desktop Recording and editing tasks Running desktop flows Process advisor Testing and Go Live Solution Architect's role with testing and go live Planning for testing Planning for go live

Elite EA/PA Forum We are delighted to announce that the Elite EA/PA Forum for Australia & New Zealand will be on the 25th of September 2025. Our workshop aims to: Enhance your influence and impact by mastering assertive communication, negotiation, and self-advocacy skills. Stay composed and solution-focused in high-pressure situations with practical tools for crisis management and clear decision-making. Embrace evolving technology by understanding how AI and automation can streamline your role and boost efficiency. Future-proof your career by building strategic value, resilience, and adaptability in an ever-changing professional landscape. Keynote Address with Q&A from the audience: What to expect from Sam's Keynote: With over 30 years supporting leaders at the highest levels, Sam Cohen brings a wealth of insight, experience, and stories (the kind she can share) to the stage. From 18 years serving within The Royal Household - including as Deputy Private Secretary and Press Secretary to Her late Majesty Queen Elizabeth II - to working with The Duke and Duchess of Sussex, running the Prime Minister’s Office at Downing Street, and serving as Chief of Staff to the global CEO of Rio Tinto, Sam’s career is a masterclass in discretion, diplomacy, and delivering at the top. In this exclusive keynote, Beyond the Role, Sam will explore how Executive Assistants don’t just support leaders - they shape leadership, drive strategy, and build legacy from behind the scenes. Join us for this rare opportunity to hear from someone who’s been at the epicentre of power - and bring your questions! The keynote will include a live Q&A, where you can ask Sam about her remarkable career, leadership insights, and how to truly excel in high-performance environments. (Don’t ask her what the Queen kept in her handbag - she’s not telling.) Sam Cohen Career Bio: Sam Cohen has spent the last 30 years working to support leaders in the public and private sectors. Sam spent 18 years serving The Royal Household, as Deputy Private Secretary to Her late Majesty Queen Elizabeth II and Press Secretary to The Queen. Sam also served as Private Secretary to The Duke and Duchess of Sussex. Following this time, Sam worked as Director of the Prime Minister’s Office at Downing Street under Boris Johnson and, most recently, was Chief of Staff to the global CEO at Rio Tinto. Source: ABC News - YouTube Channel. Facilitator - AM: The Future-Proofed Assistant: Speak Up, Stand Out & Shape Your Career Path How to reimagine your Assistant role in 2025 and beyond - How the EA role is evolving (and what Executives now expect) & why Assistants who think like strategists will be indispensable Assertiveness as an Assistant – The key to retaining your role & the difference between being ‘helpful’ and being ‘heard’ Self-Advocacy as a Career Growth Strategy – The importance of advocating for your career development, workload boundaries and recognition Own Your Professional Future - Map your career development. Whether you're an EA for life or looking to a role beyond in the future, this is for you. Ruth Kilah Career Bio: Ruth is an international executive career coach and founder of Hoxton Hyde – Executive Career Coaching & Mentoring, delivering 1:1 and group programs for experienced Executive Assistants. She specialises in helping EAs step into higher-level roles, increase their income, and expand their professional impact. With 14 years’ experience supporting C-suite executives in Australia and the UK, Ruth brings deep industry insight and a strategic approach to career development. She empowers Assistants to gain clarity on their next move, adopt a strategic mindset, communicate their value effectively, and lead their own growth conversations with confidence. A former EA turned Stakeholder Relations and Project Manager, Ruth launched Hoxton Hyde in 2018 after spotting a clear gap in the market for tailored coaching for career-driven EAs. She is a recognised member of the World Administrators Alliance and a respected thought leader in the EA space, regularly sharing insights via LinkedIn and Instagram. Ruth is also a certified fitness and wellness coach, passionate about helping Assistants achieve long-term career fulfilment through intentional development and well-being. Panel: Crisis Mode: What to do when everything goes wrong Master a step-by-step approach to prioritising and problem-solving under pressure. Strengthen emotional resilience and calm decision-making during unexpected disruptions. Learn how to communicate clearly and lead from behind in high-stress situations. Emma-Kate Bos Bio Emma-Kate works alongside the CEO at Squadron Energy, one of Australia’s leading renewable energy companies. With over 28 years of experience in Executive Assistant and Operational roles supporting business leaders in professional services, politics, membership industries, sporting and not-for-profit organisations, Emma-Kate has a deep understanding of business support roles and has managed large teams of assistants and receptionists. She is passionate about developing and mentoring team members Emma-Kate holds an Associate Degree in Law, Mini MBA and Certificate in Public Relations. Sepi Nowlands Sepi has also worked as an EO for Deloitte and spent 18 years previously as an Executive Assistant at the ATO, Law Council of Australia, Grains Research and Development Corporation and Air Services Australia. Holly Clareburt Hollie Clareburt is an experienced Executive Assistant, currently supporting the Managing Director of Microsoft New Zealand and the Chief Partner Officer. Known for her professionalism and discretion, she excels in providing high-level support in fast-paced, executive environments. Prior to Microsoft, Hollie was Executive Assistant to the Chief of Corporate & Enterprise Systems at BECA, and previously supported the CEO at SKY News New Zealand. Her career reflects a strong track record of reliability, organisation, and executive partnership. Liv Wilson With over 20 years of experience across banking, government, creative industries, and global tech, Liv has supported senior leaders at companies including LinkedIn and Slack. She brings a strategic lens to the business support function, with deep expertise in operations, leadership enablement, and organisational effectiveness. As a passionate advocate for elevating the role of Executive Assistants, Liv has led women’s networks, championed DEI and social impact initiatives, and continues to push for recognition of business support as a critical driver of business success. She is currently working on her side hustle business - collaborating with executives, entrepreneurs, and small business owners to amplify their impact by removing operational barriers, optimising systems, and unlocking their capacity to lead and grow. Facilitator - PM: Justin Kabbani AI Is Not Here to Replace You. It's Here to Upgrade You. We'll explore Justin's proven 3P framework: Priming – How to set up AI like a strategic advisor by feeding it context, tone and mindset Prompting – How to craft clear, structured instructions to get consistently great results Producing – How to turn AI outputs into high-leverage work that makes you stand out Your session outcomes: Real examples from admin professionals already using AI to elevate their work Prompts you can copy, adapt, and test live Interactive exercises to build confidence fast A practical challenge to implement right after the session If you’ve been overwhelmed by AI, or underwhelmed by its impact, this session will change that. You'll leave with tools you can use today, and a mindset you’ll carry forward for the rest of your career. Justin Kabbani Career Bio: Justin Kabbani is one of Australia’s most in-demand AI trainers and keynote speakers, known for making AI feel simple, powerful, and immediately useful. He’s worked with brands like Uber, Treasury Wine Estates, and Udemy, helping their teams embed AI into daily workflows, strategic planning, and executive communication. Over the past two years, Justin has trained more than 2,000 professionals across Australia and beyond, consistently earning feedback like “mind-blowing,” and “game-changing”. His signature Prime, Prompt, Produce framework has transformed how business leaders, executive assistants, marketers, and teams think, work, and communicate with AI, without needing to be “tech people.” Justin believes AI isn’t here to replace people. It’s here to take the robotic work off our plate, so we can focus on what humans do best. LinkedIn: https://www.linkedin.com/in/justinkabbani/ Website: https://justinkabbani.com/ Speed Connections Networking Session Join us for Speed Connections, a lively 30-minute networking session designed to foster meaningful connections in a fun, fast-paced environment. Every 10 minutes, attendees will be placed into new breakout rooms with small groups, giving everyone the chance to meet a diverse range of peers. Each breakout session will feature engaging prompts to spark conversations and make networking enjoyable and memorable! Who will attend this event? Executive Assistant (EA) Personal Assistant (PA) Virtual Assistant (VA) Legal Secretary Legal Executive Assistant Administrative Assistant Office Manager Health Care Office Manager Chief of Staff Additional roles may be relevant depending on role responsibilities, along with development opportunities. This workshop is open to females, male including trans women/males and non-binary professionals. Group Rate Discounts: To discuss our group rates in more detail, please email support@elite-forums.com and provide the following: Group Number (How many would like to attend) Event Date (If numerous dates, please advise if we are splitting attendees across multiple dates) Attendee Contact details (Or request our Group Rate Document. Complete and return - we'll sort the rest.) Group discounts are on request - see below group rate discount brackets: 🧩 You just need one piece to come together - to unlock your Elite Potential. 🔑

This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.

Prepare for success with the Microsoft PL-900 Certification Course, covering the fundamentals of Power Platform, including Power BI, Power Apps, Power Automate, Power Virtual Agents, and related topics such as Dataverse, AI Builder, Connectors, Dynamics 365, Teams, Security, and Administration. Suitable for beginners with no prerequisites.