32 Computing Skills courses in Belfast delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is designed for IT professionals who wish to develop cloud computing skills to enable them to move IT workloads to the cloud and integrate products and services from different providers and industries. Their focus is to ensure that cloud deployments are secure, that automation and orchestration are used effectively to bring business value from the cloud, and that costs are controlled through effective management of cloud vendors. This course is also designed for students who are preparing to take the CompTIA Cloud+ certification exam CV0-003, or who plan to use Cloud+ as the foundation for more advanced cloud certifications or career roles. Overview In this course, you will deploy, test, secure, manage, optimize, and troubleshoot a cloud solution. You will: - Prepare to deploy cloud solutions - Deploy a pilot project - Test a pilot project deployment - Design a secure network for cloud deployment - Determine CPU and memory sizing for cloud deployments - Determine storage requirements for cloud deployments - Plan Identity and Access Management for cloud deployments - Analyze workload characteristics to ensure successful migration to the cloud - Secure systems to meet access requirements - Maintain cloud systems - Implement backup, restore, and business continuity measures - Analyze cloud systems for required performance - Analyze cloud systems for anomalies and growth forecasting - Troubleshoot deployment, capacity, automation, and orchestration issues - Troubleshoot connectivity issues - Troubleshoot security issues In this course, you will learn how to implement, maintain, and deliver cloud technologies including network, storage, and virtualization technologies to create cloud solutions. 1 - PREPARING TO DEPLOY CLOUD SOLUTIONS Describe Interaction of Cloud Components and Services Describe Interaction of Non-cloud Components and Services Evaluate Existing Components and Services for Cloud Deployment Evaluate Automation and Orchestration Options Prepare for Cloud Deployment 2 - DEPLOYING A PILOT PROJECT Manage Change in a Pilot Project Execute Cloud Deployment Workflow Complete Post-Deployment Configuration 3 - TESTING PILOT PROJECT DEPLOYMENTS Identify Cloud Service Components for Testing Test for High Availability and Accessibility Perform Deployment Load Testing Analyze Test Results 4 - DESIGNING A SECURE AND COMPLIANT CLOUD INFRASTRUCTURE Design Cloud Infrastructure for Security Determine Organizational Compliance Needs 5 - DESIGNING AND IMPLEMENTING A SECURE CLOUD ENVIRONMENT Design Virtual Network for Cloud Deployment Determine Network Access Requirements Secure Networks for Cloud Interaction Manage Cloud Component Security Implement Security Technologies 6 - PLANNING IDENTITY AND ACCESS MANAGEMENT FOR CLOUD DEPLOYMENTS Determine Identity Management and Authentication Technologies Plan Account Management Policies for the Network and Systems Control Access to Cloud Objects Provision Accounts 7 - DETERMINING CPU AND MEMORY SIZING FOR CLOUD DEPLOYMENTS Determine CPU Size for Cloud Deployment Determine Memory Size for Cloud Deployment 8 - DETERMINING STORAGE REQUIREMENTS FOR CLOUD DEPLOYMENTS Determine Storage Technology Requirements Select Storage Options for Deployment Determine Storage Access and Provisioning Requirements Determine Storage Security Options 9 - ANALYZING WORKLOAD CHARACTERISTICS TO ENSURE SUCCESSFUL MIGRATION Determine the Type of Cloud Deployment to Perform Manage Virtual Machine and Container Migration Manage Network, Storage, and Data Migration 10 - MAINTAINING CLOUD SYSTEMS Patch Cloud Systems Design and Implement Automation and Orchestration for Maintenance 11 - IMPLEMENTING BACKUP, RESTORE, DISASTER RECOVERY, AND BUSINESS CONTINUITY MEASURES Back Up and Restore Cloud Data Implement Disaster Recovery Plans Implement Business Continuity Plans 12 - ANALYZING CLOUD SYSTEMS FOR PERFORMANCE Monitor Cloud Systems to Measure Performance Optimize Cloud Systems to Meet Performance Criteria 13 - ANALYZING CLOUD SYSTEMS FOR ANOMALIES AND GROWTH FORECASTING Monitor for Anomalies and Resource Needs Plan for Capacity Create Reports on Cloud System Metrics 14 - TROUBLESHOOTING DEPLOYMENT, CAPACITY, AUTOMATION, AND ORCHESTRATION ISSUES Troubleshoot Deployment Issues Troubleshoot Capacity Issues Troubleshoot Automation and Orchestration Issues 15 - TROUBLESHOOTING CONNECTIVITY ISSUES Identify Connectivity Issues Troubleshoot Connectivity Issues 16 - TROUBLESHOOTING SECURITY ISSUES Troubleshoot Identity and Access Issues Troubleshoot Attacks Troubleshoot Other Security Issues Additional course details: Nexus Humans CompTIA Cloud Plus Certification (Exam CV0-003) 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 CompTIA Cloud Plus Certification (Exam CV0-003) 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 intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of programming fundamentals and object-oriented programming concepts. They will typically be high school students, post-secondary school students, or career changers, with no prior programming experience. They might want to gain an understanding of the core programming fundamentals before moving on to more advanced courses such as Programming in C#. Overview Explain core programming fundamentals such as computer storage and processing. Explain computer number systems such as binary. Create and use variables and constants in programs. Explain how to create and use functions in a program. Create and use decisions structures in a computer program. Create and use repetition (loops) in a computer program. Explain pseudocode and its role in programming. Explain the basic computer data structures such as arrays, lists, stacks, and queues. Implement object-oriented programming concepts. Create and use classes in a computer program. Implement encapsulation, inheritance, and polymorphism. Describe the base class library (BCL) in the .NET Framework. Explain the application security concepts. Implement simple I/O in a computer program. Identify application errors and explain how to debug an application and handle errors. Identify the performance considerations for applications. In this 5-day course, students will learn the basics of computer programming through the use of Microsoft Visual Studio 2022 and the Visual C# and Visual Basic programming languages. The course assumes no prior programming experience and introduces the concepts needed to progress to the intermediate courses on programming, Programming in C#. The focus will be on core programming concepts such as computer storage, data types, decision structures, and repetition by using loops. The course also covers an introduction to object-oriented programming covering classes, encapsulation, inheritance, and polymorphism. Coverage is also included around exception handling, application security, performance, and memory management. 1 - Introduction to Core Programming Concepts Computer Data Storage and Processing Application Types Application Lifecycle Code Compilation 2 - Core Programming Language Concepts Syntax Data Types Variables and Constants 3 - Program Flow Introduction to Structured Programming Concepts Introduction to Branching Using Functions Using Decision Structures Introducing Repetition 4 - Algorithms and Data Structures Understand How to Write Pseudocode Algorithm Examples Introduction to Data Structures 5 - Error Handling and Debugging Introduction to Program Errors Introduction to Structured Error Handling Introduction to Debugging 6 - Introduction to Object-Oriented Programming Introduction to Complex Structures Introduction to Structs Introduction to Classes Introducing Encapsulation 7 - More Object-Oriented Programming Introduction to Inheritance Introduction to Polymorphism Introduction to .NET and the Base Class Library 8 - Introduction to Application Security Authentication and Authorization Code Permissions on Computers Introducing Code Signing 9 - Core I/O Programming Using Console I/O Using File I/O 10 - Application Performance and Memory Management Value Types vs Reference Types Converting Types The Garbage Collector Additional course details: Nexus Humans 55337 Introduction to Programming 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 55337 Introduction to Programming 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.

Microsoft Excel® in Depth: In-House Training The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. This practical course provides a solid background of the features of Excel and a deeper understanding of its features, benefits and uses. This is not a beginner's course in Excel. You will learn some advanced features such as Pivot Tables, Charting, Tables, Sorting, Filtering and Functions. The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. What you Will Learn You'll learn how to: Use functions like IF, AVERAGE, SUMIF, SUMIFS, SUMPRODUCT, INDEX, MATCH, CHOOSE, DATE, and many more Create meaningful charts Use pivot tables Use Conditional Formatting, Data Validation Take advantage of using Named ranges, do sorting, filtering, tables Getting Started The building blocks of Excel, built-in functions, will be examined The basics of formatting your data will be examined Shortcuts and data manipulation will be explored Built-in features like those mentioned in the 'What you will learn' section above will be explored in detail Excel Functions - VLOOKUP, IF, INDEX, MATCH, CHOOSE, SUMIF, SUMIFS, SUMPRODUCT, DATE, so many more Using Named ranges, Data Validation, Sorting, and Filtering Learn the Name manager; Learn the difference between local and global names; Ensure correct access to linked workbooks; Ensure data accuracy; Learn how to use cascading data validation (for example, once a user chooses 'cars', another cell allows only Ford, Toyota, etc.); Sorting by more than 3 fields; Filtering by font, pattern, or value; See your data based on things like dates in the 3rd quarter, or fields where quantity x price is greater than some fixed value Conditional formatting and data formatting Make relevant data stand out Isolate highs and lows Make error cells invisible Learn about Data bars, Icon sets, and Color scales Highlight differences between worksheets Learn all the codes in the Format/Number list Using cell Styles Learn all about alignment, protection, borders, colors and more Pivot Tables Learn how to summarize large amounts of data with a few clicks Learn various ways of presenting the data Learn the various pivot table tools Learn how to customize and format a pivot table to suit your needs Learn how to group data Learn how to use the various options to present your data Charts Learn how to create a chart with one keystroke! Learn the 11 types of built-in charts Learn how to create a chart with one keystroke! Learn how to customize the charts to make the information tell the right story Learn how to use the design, layout, and formatting available to charts in Excel 2007 Learn embedded charts versus chart sheets Learn how to use modify all the pieces of a chart Array formulas Learn how to use the most powerful formulas in Excel Learn how to combine many formulas into one compact array-formula Learn the real power of these formulas and why regular formulas can't do the job Learn how to use built-in array formulas, like TREND or TRANSPOSE

Duration 1 Days 6 CPD hours This course is intended for Individuals with basic computer skills, familiar with concepts related to database structure and terminology, and who want to use SQL to query databases. Overview Upon successful completion of this course, students will be able to: - connect to the SQL Server database and execute a simple query. - include a search condition in a simple query. - use various functions to perform calculations on data. - organize data obtained from a query before it is displayed on-screen. - retrieve data from tables. - format an output, save a result, and generate a report. In this course, students will compose SQL queries to retrieve desired information from a database. 1 - Executing a Simple Query Connect to the SQL Database Query a Database Save a Query Modify a Query Execute a Saved Query 2 - Performing a Conditional Search Search Using a Simple Condition Compare Column Values Search Using Multiple Conditions Search for a Range of Values and Null Values Retrieve Data Based on Patterns 3 - Working with Functions Perform Date Calculations Calculate Data Using Aggregate Functions Manipulate String Values 4 - Organizing Data Sort Data Rank Data Group Data Filter Grouped Data Summarize Grouped Data Use PIVOT and UNPIVOT Operators 5 - Retrieving Data from Tables Combine Results of Two Queries Compare the Results of Two Queries Retrieve Data by Joining Tables Check for Unmatched Records Retrieve Information from a Single Table Using Joins 6 - Presenting Query Results Save the Query Result Generate an XML Report

Duration 1 Days 6 CPD hours This course is intended for Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology. Overview Upon successful completion of this course, students will be able to: - Use subqueries to generate query output. - Manipulate table data by inserting, updating, and deleting records in a table. - Manipulate the table structure. - Create views, manipulate data through views, modify the view structure, and drop views. - Create indices on table columns and drop inefficient indices. - Mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Prerequisites SQL Querying Fundamentals - Part 1 1 - Using Subqueries to Perform Advanced Querying Search Based on Unknown Values Compare a Value with Unknown Values Search Based on the Existence of Records Generate Output Using Correlated Subqueries Filter Grouped Data Within Subqueries Perform Multiple-Level Subqueries 2 - Manipulating Table Data Insert Data Modify and Delete Data 3 - Manipulating the Table Structure Create a Simple Table Create a Table with Constraints Add or Drop Table Columns Add or Drop Constraints Modify the Column Definition Back Up Tables Delete Tables 4 - Working with Views Create a View Manipulate Data in Views Create Aliases Modify and Drop Views 5 - Indexing Data Create Indices Drop Indices 6 - Managing Transactions Create Transactions Commit Transactions

Critical Thinking and Creative Problem Solving (Virtual) Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Getting Started Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application Summary and Next Steps

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

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate level Java development course geared for students experienced with Java 8 or later programming essentials who wish to quickly get up and running with advanced Java skills. This course does not cover Java programming fundamentals. Overview Students will leave this course armed with the required skills to improve their Java applications using sound coding techniques and best practices. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in advanced development skills, coupling the most current, effective techniques with the soundest industry practices. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop modular applications in Java Utilize the tooling that is provided in Java 9 to migrate, monitor and optimize applications Use the new JShell tool to quickly test java constructs Understand how the implementation of the String class has been updated to decrease the memory footprint Use the enhancements made to the Concurrency API, working with Completable Future instance of Thread pools Specific Java 9 features that are covered in the course include: The Java Module System (project Jigsaw) JShell Updated try-with-resources Performance enhancements in Java 9 Multi-Release Jar files This fast-track course is designed for experienced developers who have prior working knowledge of basic Java 8 or Java 9 and want to take advantage of the newest features of Java 9 that can help improve performance and functionality of Java 9 applications. You will gain invaluable insight into how to leverage Modules, scale applications into multi-core environments, improve performance, and become a more effective Java 9 developer. Java 9 Updates Review of What is New in Java 9 Milling Project Coin The Java Module system (Jigsaw) Why JigSaw? Introduction to the Module System The Module Descriptor Working with Modules JShell JShell More Java 9 Other New Java 9 Features Performance Optimizations Memory Management (Optional) Multithreading and Concurrency Multithreading Concurrent Java Java 8 Concurrency Updates Reflection and References Introspection and Reflection Reference Objects Effective Java Objects, Declarations, and Initializations Exceptions Writing High-Performance Applications Profiling and Benchmarking Profiling Tools Code Optimization Techniques Code Optimization Myths Design Optimization Techniques