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Oracle SQL training course description The Oracle SQL course is designed to give delegates practical experience in writing SQL statements and scripts using Oracle SQL. The basic SELECT statement, the use of SQL functions and the basic table and view handling statements are introduced. What will you learn Create SQL statements to query database tables. Use standard aggregate functions and related SELECT statement clauses. Join Tables. Use basic subqueries and the set operators. Use numeric, character and date functions. Use conversion and other miscellaneous functions. Use SQL parameters. Use complex subqueries. Create and alter tables and views. Insert, update and delete rows in database tables. Manage sequences and synonyms. Oracle SQL training course details Who will benefit: Anyone who needs to use and understand Oracle SQL to query and update data in an Oracle database. Prerequisites: None. Duration 3 days Oracle SQL training course contents Retrieving data with the SELECT statement The SELECT statement, The SELECT and FROM clauses, Conditions and the WHERE clause, Other conditional operators, Logical operators, The ORDER BY clause, Column aliases, Arithmetic expressions, Precedence of operators. Aggregate functions Overview of built In aggregate functions, The GROUP BY clause, The HAVING clause. Joining tables Overview of table joins, Inner joins, Table aliases, Outer joins, Self joins, ANSI standard joins. Basic subqueries and set operators Overview of subqueries, Basic subqueries, Set operators, The union, intersect and ,minus operators. Numeric, character and data functions Function types, Using the table dual to try out functions, Numeric functions, Character functions, String concatenation, Date arithmetic and date functions. Conversion and miscellaneous functions Conversion functions, The NVL and NVL2 functions, The DECODE function, CASE expressions, The COALESCE and NULLIF functions. SQL parameters Command line substitution parameters, The accept command, The define and undefine commands. Complex subqueries Subqueries usage, In-line views, Top-N queries, Subqueries with joins, Multi column subqueries, Correlated subqueries, Subquery rules, Using the ANY, ALL and SOME operators. Managing data Inserting rows, Updating rows, Deleting rows, Verifying updates, Transaction control, Commit and rollback, Savepoints, Commits and constraints, Amending data in SQL developer. Managing tables Creating tables, Specifying constraints, Altering tables, columns and constraints, Dropping tables, columns and constraints, Recovering dropped tables, Copying tables. Managing indexes and views Creating indexes, Dropping indexes, Listing indexes, Creating and using views, Dropping views, Listing views. Managing sequences and synonyms Create a sequence, View sequence details, Create a synonym, List synonyms.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Intermediate software developers Overview In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript Interact with AWS services and develop solutions by using the AWS SDK Use AWS Identity and Access Management (IAM) for service authentication Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Amazon Cognito for user authentication Use Amazon ElastiCache to improve application scalability Leverage the CI/CD pipeline to deploy applications on AWS In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. Module 0: Course Overview Agenda Introductions Student resources Module 1: Introduction to AWS Introduction to the AWS Cloud Cloud scenarios Infrastructure overview Introduction to AWS foundation services Module 2: Introduction to Developing on AWS Getting started with developing on AWS Introduction to developer tools Introduction to management tools Module 3: Introduction to AWS Identity and Access Management Shared responsibility model Introduction to IAM Use authentication and authorization Module 4: Introduction to the Lab Environment Introduction to the lab environment Lab 1: Getting started and working with IAM Module 5: Developing Storage Solutions with Amazon Simple Storage Service Overview of AWS storage options Amazon S3 key concepts Best practices Troubleshooting Scenario: Building a complete application Lab 2: Developing storage solutions with Amazon S3 Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB Introduction to AWS database options Introduction to Amazon DynamoDB Developing with DynamoDB Best practices Troubleshooting Scenario: Building an end-to-end app Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB Module 7: Developing Event-Driven Solutions with AWS Lambda What is serverless computing? Introduction to AWS Lambda Key concepts How Lambda works Use cases Best practices Scenario: Build an end-to-end app Module 8: Developing Solutions with Amazon API Gateway Introduction to Amazon API Gateway Developing with API Gateway Best practices Introduction to AWS Serverless Application Model Scenario: Building an end-to-end app Lab 4: Developing event-driven solutions with AWS Lambda Module 9: Developing Solutions with AWS Step Functions Understanding the need for Step Functions Introduction to AWS Step Functions Use cases Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service Why use a queueing service? Developing with Amazon Simple Queue Service Developing with Amazon Simple Notification Service Developing with Amazon MQ Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS Module 11: Caching Information with Amazon ElastiCache Caching overview Caching with Amazon ElastiCache Caching strategies Module 12: Developing Secure Applications Securing your applications Authenticating your applications to AWS Authenticating your customers Scenario: Building an end-to-end app Module 13: Deploying Applications Introduction to DevOps Introduction to deployment and testing strategies Deploying applications with AWS Elastic Beanstalk Scenario: Building an end-to-end app Lab 6: Building an end-to-end app Module 14: Course wrap-up Course overview AWS training courses Certifications Course feedback

Duration 2 Days 12 CPD hours This course is intended for This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers. This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics. 1 - Introduction to Transact-SQL Work with schemas Explore the structure of SQL statements Examine the SELECT statement Work with data types Handle NULLs 2 - Sort and filter results in T-SQL Sort your results Limit the sorted results Page results Remove duplicates Filter data with predicates 3 - Combine multiple tables with JOINs in T-SQL Understand joins concepts and syntax Use inner joins Use outer joins Use cross joins Use self joins 4 - Write Subqueries in T-SQL Understand subqueries Use scalar or multi-valued subqueries Use self-contained or correlated subqueries 5 - Use built-in functions and GROUP BY in Transact-SQL Categorize built-in functions Use scalar functions Use ranking and rowset functions Use aggregate functions Summarize data with GROUP BY Filter groups with HAVING 6 - Modify data with T-SQL Insert data Generate automatic values Update data Delete data Merge data based on multiple tables Additional course details: Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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 DP-080T00 Querying Data with Microsoft Transact-SQL 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.

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Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.

MySQL server admins training course description This MySQL Server administration course is designed for MySQL Server administrators who have a basic understanding of a MySQL database and a good working knowledge of SQL commands. The course provides an understanding of MySQL Architecture and practical experience in setting up, configuring and maintaining a MySQL server, backing up and recovering data and optimising query performance. This MySQL Server administration course also covers MySQL replication and its role in high availability and scalability. What will you learn Use MySQL Workbench. Install and configure a MySQL Server . Administer and tune a MySQL server. Configure log files and interpret error messages.. Secure the Server. Administer a replication topology. MySQL server admin training course details Who will benefit: Database administrators, Database developers and Technical consultants. Prerequisites: Introduction to MySQL Duration 5 days MySQL server admin training course contents Introduction to Oracle Application Express APEX concepts APEX main components Workspaces, database applications and websheet applications Creating a workspace The Workspace Administrator Upgrading APEX Logging into APEX Running an application SWL Workshop Use APEX to browse, create and modify objects Process ad hoc SQL statements Manage scripts in APEX Create, run and save SQL queries Build a database application Application components Create an application Create an application from a spreadsheet Create reports Create reports using wizards Edit report attributes Add links to reports Create a link to a printer-friendly version of a report Save and print reports in different formats Using files Uploading images Creating cascading stylesheet files Uploading static files Adding an Image as an application logo Adding a reference to a Javascript file Pages and regions Web form behaviour in APEX Create a form based on a table Create a form based on a procedure Create a form with a report Create a tabular form Format a form Locking in APEX forms Creating lists of values Overview of application express shared Components Dynamic and static lists of values Create a dynamic list of values Create a static list of values Use a list of values to control data in a report Create a cascading list of values Items and buttons Understand the different Types of items Create items Understand and edit item attributes Use Javascript with item Manipulate items in tabular forms Add dynamic items to a report Create and edit buttons Page Processing Page rendering and page processing Create computations Validate input data Process Data Understand application branching Create conditional branches Shared components Overview of application express navigation components Manage parent and standard tabs Create navigation bar entries Create and use lists and list items Manage breadcrumbs Create shortcuts Shared component subscription User interface defaults Display dynamic content Filter reports with dynamic queries Create charts with a wizard Format charts Create calendars Add links to calendars Create hierarchical trees State and debugging Understand session state Set a session state value Clear the session state Review the session state Review the messages in debug mode Enabling feedback Managing feedback and team development Themes and templates Switch to a different theme View existing templates Understand and manage templates Create a new template Add references to cascading stylesheet and Javascript files Dynamic actions and plug-in components Identify plug-in components and their types Plug In a component Create dynamic actions Use a plug-in in a dynamic action Building website applications Websheet applications and their components Create a websheet application Enable SQL and PL/SQL in a websheet application Add sections and pages to a websheet application Add links on a websheet page Add a data grid to a websheet application Create SQL reports ion websheet applications Add annotations to a websheet application Implementing security Authentication and authorization Provide an authentication scheme Create an authorization scheme using access control Enable and configure session state protection Deploy an appliction Define supporting objects Package an application Export an application Import an application Install supporting objects Administer Apex workspaces Manage workspaces and users Request a schema or storage Purge session state Monitor developer activity log Monitor workspace activity View activity reports Import a workspace Utility programs Import and export data Generate DDL statements View objects reports

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS Overview Import/Export Wizard Exporting Data with the Wizard Common Import Concerns Quality Checking Imported/Exported Data 2 - Working with Solutions and Projects Working with SQL Server Data Tools Understanding Solutions and Projects Working with the Visual Studio Interface 3 - Basic Control Flow Working with Tasks Understanding Precedence Constraints Annotating Packages Grouping Tasks Package and Task Properties Connection Managers Favorite Tasks 4 - Common Tasks Analysis Services Processing Data Profiling Task Execute Package Task Execute Process Task Expression Task File System Task FTP Task Hadoop Task Script Task Introduction Send Mail Task Web Service Task XML Task 5 - Data Flow Sources and Destinations The Data Flow Task The Data Flow SSIS Toolbox Working with Data Sources SSIS Data Sources Working with Data Destinations SSIS Data Destinations 6 - Data Flow Transformations Transformations Configuring Transformations 7 - Making Packages Dynamic Features for Making Packages Dynamic Package Parameters Project Parameters Variables SQL Parameters Expressions in Tasks Expressions in Connection Managers After Deployment How It All Fits Together 8 - Containers Sequence Containers For Loop Containers Foreach Loop Containers 9 - Troubleshooting and Package Reliability Understanding MaximumErrorCount Breakpoints Redirecting Error Rows Logging Event Handlers Using Checkpoints Transactions 10 - Deploying to the SSIS Catalog The SSIS Catalog Deploying Projects Working with Environments Executing Packages in SSMS Executing Packages from the Command Line Deployment Model Differences 11 - Installing and Administering SSIS Installing SSIS Upgrading SSIS Managing the SSIS Catalog Viewing Built-in SSIS Reports Managing SSIS Logging and Operation Histories Automating Package Execution 12 - Securing the SSIS Catalog Principals Securables Grantable Permissions Granting Permissions Configuring Proxy Accounts Additional course details: Nexus Humans 55321 SQL Server Integration Services 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 55321 SQL Server Integration Services 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 3 Days 18 CPD hours This course is intended for This is an introductory level SQL course, appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands on learning environment led by our expert practitioner, attendees will explore: Basic RDBMS Principles The SQL Language and Tools Using SQL Developer SQL Query Basics WHERE and ORDER BY Functions ANSI 92 Joins ANSI 99 Joins Subqueries Regular Expressions Analytics A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. A full presentation of the basics of relational databases and their use are also covered. Basic RDBMS Principles Relational design principles Accessing data through a structured query language Entity relationship diagrams Data Domains Null values Indexes Views Denormalization Data Model Review The SQL Language and Tools Using SQL*Plus Why Use SQL*Plus When Other Tools Are Available? Starting SQL*Plus EZConnect SQL Commands PL/SQL Commands SQL*Plus Commands The COLUMN Command The HEADING Clause The FORMAT Clause The NOPRINT Clause The NULL Clause The CLEAR Clause Predefined define variables LOGIN.SQL Command history Copy and paste in SQL*Plus Entering SQL commands Entering PL/SQL commands Entering SQL*Plus commands Default output from SQL*Plus Entering Queries What about PL/SQL? Using SQL Developer Choosing a SQL Developer version Configuring connections Creating A Basic Connection Creating A TNS Connection Connecting Configuring preferences Using SQL Developer The Columns Tab The Data Tab The Constraints Tab The Grants Tab The Statistics Tab Other Tabs Queries In SQL Developer Query Builder Accessing Objects Owned By Other Users The Actions Pulldown Menu Differences between SQL Developer and SQL*Plus Reporting Commands Missing In SQL Developer General Commands Missing In SQL Developer Data Dictionary report User Defined reports Using scripts in SQL Developer WHERE and ORDER BY WHERE clause basics Comparison operators Literals and Constants in SQL Simple pattern matching Logical operations The DUAL table Arithmetic operations Expressions in SQL Character operators Pseudo columns Order by clause basics Ordering Nulls Accent and case sensitive sorts Sampling data WHERE and ORDER BY in SQL Developer All, Any, Some Functions The basics of Oracle functions Number functions Character functions Date functions Conversion functions Other functions Large object functions Error functions The RR format mode; Leveraging your knowledge ANSI 92 JOINS Basics of ANSI 92 Joins Using Query Builder with multiple tables Table Aliases Outer joins Outer Joins In Query Builder Set operators Self-referential joins Non-Equijoins ANSI 99 Joins Changes with ANSI99 CROSS Join NATURAL Join JOIN USING JOIN ON LEFT / RIGHT OUTER JOIN FULL OUTER JOIN Subqueries Why use subqueries? WHERE clause subqueries FROM clause subqueries HAVING clause subqueries CORRELATED subqueries SCALAR subqueries DML and subqueries EXISTS subqueries Hierarchical queries TOP N AND BOTTOM N queries Creating subqueries using Query Builder Regular Expressions Available Regular Expressions Regular Expression Operators Character Classes Pattern matching options REGEX_LIKE REGEXP_SUBSTR REGEXP_INSTR REGEXP_REPLACE REGEXP_COUNT Analytics The WITH clause Reporting aggregate functions Analytical functions User-Defined bucket histograms The MODEL clause PIVOT and UNPIVOT Temporal validity More Analytics RANKING functions RANK DENSE_RANK CUME_DIST PERCENT_RANK ROW_NUMBER Windowing aggregate functions RATIO_TO_REPORT LAG / LEAD Linear Regression functions Inverse Percentile functions Hypothetical ranking functions Pattern Matching Additional course details: Nexus Humans Introduction to SQL Programming Basics (TTSQL002) 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 Introduction to SQL Programming Basics (TTSQL002) 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.

Who is this Course for? Mastering Unity 3D Intermediate Level Training Course Our Unity 3D training programs are tailored for individuals aspiring to become game developers, creative minds, & enthusiasts keen to explore the realm of game development. Learn 3D & 2D games or looking to master Unity's cross-platform features. Click here for more info: Website Duration: 20 hours Approach: 1-on-1 Individualized Attention & Customized Content Timetable: Scheduling any hour between 9 am and 7 pm, from Mon to Sat Course Overview: Sessions 1-2: Introduction to Unity Familiarize yourself with Unity's interface and workspace Create a new Unity project and set up the initial scene and navigation Sessions 3-4: Asset Management Explore and download free assets Import various asset types into Unity and understand their applications Sessions 5-6: Environmental Design Utilize Unity's terrain tools for environment creation Enhance scenes with textures, materials, and environmental objects Sessions 7-8: Character Development Design 3D character models Rig, animate, and import characters into Unity Sessions 9-10: Player Interaction Set up player controls and script basic movements Implement camera controls for seamless gameplay experiences Sessions 11-12: Physics and Realism Understand and implement physics in Unity Configure collisions, gravity, force, and torque for realistic interactions Sessions 13-14: Audio Enhancement Master audio implementation with sound effects and background music Fine-tune volume and pitch for immersive gameplay Sessions 15-16: Lighting and Visual Effects Employ advanced lighting techniques, including dynamic day-night cycles Enhance visuals with lens flares and particle systems Sessions 17-18: User Interface Design Construct user interfaces using Unity's canvas system Integrate interactive elements such as buttons and menus, ensuring smooth functionality Sessions 19-20: Optimization and Performance Implement optimization techniques and utilize the profiler for performance analysis Improve frame rates and reduce memory usage for seamless gameplay Session 21-22: Multiplayer Integration Explore multiplayer implementation and set up local multiplayer games Session 23-24: Mobile Game Development Discover mobile game development in Unity Build, deploy, and optimize games for mobile devices, focusing on performance and controls Session 25: Advanced Topics Delve into advanced scripting techniques, including coroutines, delegates, and events Explore shader programming and visual effects, and venture into VR development with Unity and Oculus Quest Final Project: Create a Comprehensive Game Test the game thoroughly, identify and resolve bugs Make necessary adjustments and improvements for a polished final product Experience the Real-Time Development Platform: Unleash your creativity and create 3D, 2D, VR, and AR experiences across various industries, including games, automotive, AEC, film, and more. Unity Pro offers a complete solution to develop better, iterate faster, and grow your business. Enjoy amazing games and immersive experiences with multi-platform support. Get started today: Unity Pro. Learning Outcomes: Participants will gain expertise in Unity 3D, mastering asset management, environmental design, character animation, player interaction, physics, audio, lighting, UI, optimization, and advanced scripting. They will develop a complete game, honing skills in debugging and project completion. Career Opportunities: Graduates can pursue roles as Game Developers, Mobile Game Developers, VR/AR Developers, Game Designers, UI/UX Designers, Game Testers, Indie Game Developers, Educational Game Developers, Freelance Developers, or Game Development Instructors, leveraging their Unity 3D skills for diverse and exciting career paths in the gaming industry. Skills Acquired: Participants in the Mastering Unity 3D Intermediate Level Training Course will gain advanced proficiency in Unity 3D game development, including: Advanced 3D Game Development Techniques Real-time Physics and Animation Skills Multiplatform Game Deployment Expertise Job Opportunities: Upon completion, individuals can pursue roles such as: Game Developer Unity 3D Programmer AR/VR Developer Interactive Simulation Designer This course equips participants with the expertise required for exciting opportunities in game development studios, AR/VR companies, and interactive media agencies, setting the stage for a successful career in the gaming and simulation industry. Course Advantages: Comprehensive Unity Mastery: Develop expertise in various Unity aspects, including game design, scripting, animation, and optimization. Hands-On Project Experience: Engage in practical projects mirroring real-world game development, enhancing your skills and portfolio. Interactive Live Instruction: Learn from experienced instructors in real-time, encouraging interactive discussions, Q&A sessions, and personalized guidance. Flexible Learning Paths: Opt for in-person or online classes, ensuring accessible and convenient learning tailored to your needs. Lesson Revisions: Access recorded lessons, allowing flexible review and reinforcement of concepts at your own pace. Lifetime Email Support: Benefit from ongoing support via email, where experts are available to assist with any questions or challenges, even after the course concludes.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints