44397 Learning courses

AAT Level 2 is the first level of qualification for people with limited or no accounts knowledge. This Foundation Certificate in accounting training equips you for an entry-level role in an Accounting or Finance department. Moreover, this AAT course also lays the groundwork for a promising future in the accounting profession. By the end of the course, you will have a greater understanding and skills of manual and computerised accounts and how to use them in a 'real business world' setting. Why AAT? Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000; it is the sector where the employ-ability rate is greater than any other sector. What are the benefits after completing AAT courses? A newly qualified AAT member can expect to earn an average of £21,600. Some accounting technicians work as accounts assistant; others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become chartered. Osborne Training is an AAT Approved Training Provider in London. In taking the Association of Accounting Technicians qualification with Osborne Training, you will make one of the greatest decisions of your career. Duration You can expect this qualification to take 1-1.5 year to complete for most students. Tutors Tutors are highly qualified with extensive knowledge of accountancy. Study Options Classroom Based - evening, Weekend and Daytime sessions for AAT course from London Campus. Osborne Training continuously opening new campuses throughout the UK. Online Live - Interactive online sessions through world-class Virtual Learning Campus with study materials are delivered to your home address. Distance Learning- Self-Study with Study Material and access to Online study Material through Virtual Learning Campus. Once you finish the AAT qualification and pass all exams successfully, you will receive a globally recognised AAT Level 2 Foundation Certificate in Accounting from AAT. AAT Level 2 Course syllabus Bookkeeping transactions Bookkeeping Controls Elements of Cost Work effectively in finance Using Accounting Software (i.e SAGE)

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone responsible for conf iguring, maintaining, and troubleshooting Symantec Data Loss Prevention. Additionally, this course is intended for technical users responsible for creating and maintaining Symantec Data Loss Prevention policies and the incident response structure. Overview At the completion of the course, you will be able to: Enforce server, detection servers, and DLP Agents as well as reporting, workflow, incident response management, policy management and detection, response management, user and role administration, directory integration, and filtering. This course is designed to provide you with the fundamental know ledge to configure and administer the Symantec Data Loss Prevention Enforce platform. Introduction to Symantec Data Loss Prevention Symantec Data Loss Prevention overview Symantec Data Loss Prevention architecture Navigation and Reporting Navigating the user interface Reporting and analysis Report navigation, preferences, and features Report filters Report commands Incident snapshot Incident Data Access Hands-on labs: Become familiar with navigation and tools in the user interface. Create, filter, summarize, customize, and distribute reports. Create users, roles, and attributes. Incident Remediation and Workflow Incident remediation and w orkf low Managing users and attributes Custom attribute lookup User Risk Summary Hands-on labs: Remediate incidents and configure a user?s reporting preferences Policy Management Policy overview Creating policy groups Using policy templates Building policies Policy development best practices Hands-on labs: Use policy templates and policy builder to configure and apply new policies Response Rule Management Response rule overview Configuring Automated Response rules Configuring Smart Response rules Response rule best practices Hands-On Labs: Create and use Automated and Smart Response rules Described Content Matching DCM detection methods Hands-on labs: Create policies that include DCM and then use those policies to capture incidents Exact Data Matching and Directory Group Matching Exact data matching (EDM) Advanced EDM Directory group matching (DGM) Hands-on labs: Create policies that include EDM and DGM, and then use those policies to capture incident Indexed Document Matching Indexed document matching (IDM) Hands-on labs: Create policies that include IDM rules and then use those policies to capture incidents Vector Machine Learning Vector Machine Learning (VML) Hands-on labs: Create a VML profile, import document sets, and create a VML policy Network Monitor Review of Network Monitor Protocols Traffic filtering Network Monitor best practices Hands-On Labs: Apply IP and L7 filters Network Prevent Network Prevent overview Introduction to Network Prevent (Email) Introduction to Network Prevent (Web) Hands-On Labs: Configure Network Prevent (E-mail) response rules, incorporate them into policies, and use the policies to capture incidents Mobile Email Monitor and Mobile Prevent Introduction to Mobile Email Monitor Mobile Prevent overview Configuration VPN configuration Policy and Response Rule Creation Reporting and Remediation Troubleshooting Network Discover and Network Protect Network Discover and Network Protect overview Configuring Discover targets Configuring Box cloud targets Protecting data Auto-discovery of servers and shares Running and managing scans Reports and remediation Network Discover and Network Protect best practices Hands-on labs: Create and run a filesystem target using various response rules, including quarantining Endpoint Prevent Endpoint Prevent overview Detection capabilities at the Endpoint Configuring Endpoint Prevent Creating Endpoint response rules Viewing Endpoint Prevent incidents Endpoint Prevent best practices Managing DLP Agents Hands-on labs: Create Agent Groups and Endpoint response rules, monitor and block Endpoint actions, view Endpoint incidents, and use the Enforce console to manage DLP Agents Endpoint Discover Endpoint Discover overview Creating and running Endpoint Discover targets Using Endpoint Discover reports and reporting features Hands-on labs: Create Endpoint Discover targets, run Endpoint Discover targets, and view Endpoint Discover incidents Enterprise Enablement Preparing for risk reduction Risk reduction DLP Maturity model System Administration Server administration Language support Incident Delete Credential management Troubleshooting Diagnostic tools Troubleshooting scenario Getting support Hands-on labs: Interpret event reports and traffic reports, configure alerts, and use the Log Collection and Configuration tool Additional course details: Nexus Humans Symantec Data Loss Prevention 14.0 - Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Symantec Data Loss Prevention 14.0 - Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours Overview - You will learn advanced Adobe Captivate concepts. - You will learn to create highly interactive software simulation and to control the text that appears in the recording?s text captions by editing Captivates text capture templates. - You will create responsive lessons (using Fluid Boxes and Breakpoints) that automatically reflow to fit just about any kind of display including desktops, laptops, tablets, and smart phones. - Learn new features that Captivate now supports; such as, Virtual Reality with 360-degree images and videos along with interactive videos. - Fine-tune your Captivate production skills by leveraging object styles, master slides, themes, and advanced actions. - Engage your learners by adding variables, widgets, and learner interactions (including drag and drop) to your eLearning. - Learn to create object styles, apply them globally, and import and export them. Knock large projects down to size by learning to create branch groups. - Create branching scenarios that allow learners to plot their own path through your course. - You will also learn to create templates. - Ensure your eLearning can be used by people with disabilities by adding such 508-compliant features as accessibility text, keyboard shortcuts, and closed captions. - Enable Captivates reporting features and, along the way, learn about Learning Management Systems, SCORM, SCOs, Manifests, and content packages. A course that teaches the higher-end, more advanced functionality of Adobe Captivate 2019. 1 - INTERACTIVE SOFTWARE SIMULATIONS AND CAPTION PRE-EDITING Rehearse a Script Set Recording Preferences Record a Simulation Edit a Text Capture Template 2 - OBJECT STYLES, PROJECT SHARING, AND BRANCHING Create a New Style Apply an Object Style Globally Export and Import an Object Style Name a Slide Copy/Paste Project Assets Use Buttons to Create a Branch Explore the Branching View Create a Branch Group 3 - VARIABLES AND WIDGETS Add Project Information Insert a System Variable Edit a System Variable Create a User Variable Use a Variable to Gather Learner Data Insert and Format a Widget 4 - INTERACTIVE VIDEOS AND VIRTUAL REALITY Insert an Interactive Video Add Bookmarks Add Slide Overlays Create a Virtual Reality Project Add a Text Hotspot Add an Audio Hotspot Add a Quiz to a Virtual Reality Project 5 - INTERACTIONS Insert a Process Circle Create a Basic Drag and Drop Interaction Manage Drag and Drop Buttons and Write Captions Create a ?Trick? Retry Slide Explore an Advanced Drag and Drop Project Create an Advanced Drag and Drop Interaction Change the States of a Smart Shape Use States to Swap Images 6 - ACCESSIBLE ELEARNING Set Document Information Enable Accessibility Add Accessibility Text to Slides Import Slide Audio Add Shortcut Keys Add Closed Captions Set a Tab Order 7 - ADVANCED ACTIONS Use a Completed Action Name Objects Create a Mask Control Object Visibility Create a Standard Advanced Action, Attach an Action to a Button Group Timeline Objects Create a Variable Create a Conditional Action Create Decision Blocks 8 - PROJECT TEMPLATES AND MASTER SLIDES Work with the Main Master Slide Work with Content Masters Apply a Master to Filmstrip Slides Edit a Master Apply a Theme Create a Custom Theme Review a Template Create a Project Based on a Template Create a Project Template 9 - RESPONSIVE PROJECTS Customize Breakpoints Save a Standard Project As Responsive Insert and Name Fluid Boxes Resize Fluid Boxes Add Content to Fluid Boxes Switch Modes Use the Position Inspector Modify a Single Breakpoint Exclude from View Add a New Breakpoint Position and Link Objects Edit Breakpoint Object Styles 10 - REPORTING RESULTS Set Quiz Reporting Options Create a Manifest File Report a Button Interaction Adjust Slide Object Interaction Preview in SCORM Cloud Publish a Content Package Create an Inquisiq LMS Account Create an LMS Course Attach a Lesson to a Course Test an eLearning Course Additional course details: Nexus Humans Adobe Captivate 2019 - Beyond The Essentials training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Adobe Captivate 2019 - Beyond The Essentials course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

MojiTax is hosting an invaluable event for ADIT students aimed at unlocking the secrets to exam success. This engaging session is designed to provide insights into MojiTax's effective learning methodologies that have contributed to its impressive success rates. Attendees will benefit from expert discussions on Knowledge-Based Learning, and Exam Writing Techniques. Additionally, we will share motivational ADIT journies, highlighting the impactful benefits of MojiTax. This event represents a unique opportunity for ADIT candidates to enhance their exam preparation strategies, connect with a supportive community, and learn from those who have excelled. Video time: X hours Exams: X Author: MojiTax Level: Not Applicable Study time: 1 hour 01 Live session Open Event Link (2pm - 3pm London Time)

I cover a range of subjects, including mathematics, English and science, as well as targeted preparation for entrance exams such as the 11 plus, ISEB, and more. Additionally, I provide focused support for verbal reasoning and non-verbal reasoning assessments. Importantly, all tuition is bespoke, tailored to your child's unique learning needs and requirements. My goal is to offer comprehensive assistance tailored to the primary education curriculum and specific entrance requirements. I also support children in their transition to secondary school through secondary private tuition and GCSE private tuition in certain subjects. I can always recommend excellent private tutors if I am not able to support a particular subject, so get in touch!

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for application developers. Overview Deploy microservice applications on Red Hat© OpenShift Container Platform. Build a microservice application with Quarkus. Implement unit and integration tests for microservices. Use the config specification to inject data into a microservice. Secure a microservice using OAuth. Build and deploy native Quarkus applications. Develop microservice-based applications with Quarkus and OpenShift. Many enterprises are looking for a way to take advantage of cloud-native architectures, but many do not know the best approach. Quarkus is an exciting new technology that brings the reliability, familiarity, and maturity of Java Enterprise with a container-ready lightning fast deployment time. Red Hat Cloud-native Microservices Development with Quarkus (DO378) emphasizes learning architectural principles and implementing microservices based on Quarkus and OpenShift. You will build on application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications.. This course is based on OpenShift 4.5 and Quarkus 1.7L 1 - Describe microservice architectures Describe components and patterns of microservice-based application architectures. 2 - Implement a microservice with Quarkus Describe the specifications in Quarkus, implement a microservice with some of the specifications, and deploy it to an OpenShift cluster. 3 - Build microservice applications with Quarkus Build a persistent and configurable distributed quarkus microservices application. 4 - Implement fault tolerance Implement fault tolerance in a microservice architecture. 5 - Build and deploy native Quarkus applications Describe Quarkus in native mode and describe its deployment on OpenShift Container Platform. 6 - Test microservices Implement unit and integration tests for microservices. 7 - Create application health checks Create a health check for a microservice. 8 - Secure microservices Secure microservice endpoints and communication. 9 - Monitor microservices Monitor the operation of a microservice using metrics and distributed tracing. Additional course details: Nexus Humans Red Hat Cloud-native Microservices Development with Quarkus (DO378) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat Cloud-native Microservices Development with Quarkus (DO378) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for network and software engineers who hold the following job roles: Network administrators Network operators Overview After taking this course, you should be able to: Explain the benefits of using Cisco DNA Center in a traditional, enterprise network Explain at a detailed level the Cisco DNA Center Assurance system architecture, functional components, features, and data-processing concepts Explain the health scores, metrics, and strategies that you use for monitoring network devices, clients, and applications with Cisco DNA Assurance Describe how Cisco DNA Center Assurance analyzes the streaming telemetry and collected data, correlates the data, performs root cause analysis, and displays detected issues, insights, and trends Describe the Cisco DNA Center Assurance troubleshooting tools, mechanisms, strategies, and scenarios to proactively detect and resolve wireless network, client, and application issues and pinpoint the root cause Deploy and configure Cisco DNA Center to use Assurance features for monitoring and troubleshooting network devices, clients, and applications The Leveraging Cisco Intent-Based Networking DNA Assurance (DNAAS) v2.1 course provides you with the skills to monitor and troubleshoot a traditional brownfield network infrastructure by using Cisco© Digital Network Architecture (Cisco DNA?) Assurance. The course focuses on highlighting issues rather than on monitoring data. The advanced artificial intelligence and machine learning features within Cisco DNA Assurance enable you to isolate the root cause of a problem and to take appropriate actions to quickly resolve issues. Cisco DNA Assurance can be used to perform the work of a Level 3 support engineer. Course Outline Introducing Cisco DNA Center Assurance Monitoring Health and Performance with Cisco DNA Center Assurance Troubleshooting Issues, Observing Insights and Trends Troubleshooting Wireless Issues with Cisco DNA Center Assurance Tools Additional course details: Nexus Humans Cisco Leveraging Cisco Intent-Based Networking DNA Assurance (DNAAS) v2.1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Leveraging Cisco Intent-Based Networking DNA Assurance (DNAAS) v2.1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This course is designed specifically to help improve your collection rates. The UK's leading trainer in the subject uses practical examples and case studies to show how to use debt collection techniques that really work. This programme will help participants to: Understand debtors and communicate with them effectively Improve their telephone and writing skills Appreciate the key legal issues Track down 'gone-aways' Improve their collection rates 1 Giving credit and collecting debts The benefits when you get it right The cost of getting it wrong 2 Analysing yourself The importance of making the right 'first impression' Assessing your own personal communication style and how this affects your results How do you (or might you) look in the debtor's eyes? What would you like to change? 3 Analysing your debtors Types of debtorThe delaying debtorThe genuine debtorThe cashflow or hardship problem debtorThe ones who never intended to pay Spot the most common reasons and excuses for non-payment - and learn how to deal with them 4 Understanding debt recovery and the law Data protection issues County Court suing enforcement methods Human rights and debt recovery Retention of title matters 5 Telephone skills for debt recovery A 7-point plan which works every time Learning by example: listening to and analysing some pre-recorded (or live) collection callsWhat was done well?What should have been done differently?Did the collector recognise opportunities?Did the collector create opportunities where seemingly none existed?Did the collector negotiate well or not at all? 6 Writing skills for debt recovery Key phrases to avoid What to include A sample letter which gets results in over 90% of cases 7 Tracking down the 'gone aways' A unique debtor-tracing plan Why spend money on external tracers when you can find those 'gone away' debtors for yourself? 8 Course review The traps to avoid Key personal learning points

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.