371 Programming courses in Leeds delivered Live Online

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

4-Hour Discovery Day - NLP Training Near Me | Ely Wellbeing Neuro Linguistic Programming (NLP) is a collection of models and techniques that provide insights into human psychological processes. Through its various models, strategies and tools, NLP helps people to change their lives by taking control of their thoughts, feelings and behaviours. Our 4 Hour Discovery Day gives you an opportunity to learn the basics of Neuro Linguistic Programming; how it

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions on AWS 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 AWS Developing Serverless Solutions on AWS 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.

Learn how to work with data using Python (the coding language) as a tool. Learn how data is structured and how to manipulate it into a usable, clean form ready for analysis. Work on a small real-life project from conception to solution, in a team or on your own.

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Modern OpenGL 3D Game Course Overview This course in Modern OpenGL 3D Game Development introduces learners to the essential concepts and techniques required to build sophisticated 3D games. It focuses on the OpenGL API, guiding learners through the process of setting up a game engine, handling lighting, loading models, and applying advanced graphical techniques. By the end of this course, participants will have developed a solid understanding of 3D rendering fundamentals, allowing them to create visually compelling games. The course is designed to empower learners with the skills to enter the world of game development, with applications across various industries. Course Description In this course, learners will explore the powerful features of Modern OpenGL, diving into topics such as setting up an OpenGL environment, creating 3D models, and implementing advanced graphical effects. The course covers essential subjects like lighting, model loading, and resource management, preparing learners to tackle complex game development challenges. It provides an opportunity to understand and apply 3D rendering techniques used in professional game development. Participants will learn to create fully rendered, interactive game environments using OpenGL, gaining the ability to build and optimise performance in modern 3D games. The course provides a structured approach to developing foundational and advanced graphics skills, relevant for careers in the gaming industry. Modern OpenGL 3D Game Curriculum Module 01: Introduction Module 02: Setup Module 03: Getting Started Module 04: Lighting Module 05: Model Loading Module 06: Advanced Module 07: Resource (See full curriculum) Who is this course for? Individuals seeking to enter 3D game development. Professionals aiming to enhance their graphics programming skills. Beginners with an interest in gaming or computer graphics. Developers looking to expand their knowledge in OpenGL. Career Path 3D Game Developer Graphics Programmer Game Engine Developer Visual Effects Artist Technical Artist

Course Overview The Personal Trainer / Fitness Instructor Training Course offers a comprehensive introduction to the principles of fitness, exercise science, and client support. Learners will gain in-depth knowledge of muscle groups, workout design, and nutrition fundamentals essential for building tailored fitness programmes. The course provides a structured understanding of how to assess clients, create effective training plans, and guide individuals towards their health and fitness goals. It also introduces learners to dietary strategies, the role of supplements, and recovery techniques to support overall wellbeing. By completing this course, participants will be better equipped to inspire, educate, and support others in achieving physical fitness. Whether learners are starting a new career or seeking to enhance their existing expertise, this course offers valuable insights and a solid foundation to pursue opportunities within the health and fitness sector. Course Description The Personal Trainer / Fitness Instructor Training Course is designed to build a strong theoretical foundation in fitness instruction and personal training. Covering essential topics such as anatomy, muscle growth, client assessment, and exercise programming, the course ensures learners develop a thorough understanding of the fitness landscape. Through detailed modules, participants explore how to structure effective workouts, integrate bodybuilding diets, and utilise recovery strategies for optimal results. Video demonstrations of exercises provide visual clarity, supporting knowledge of both compound and isolation movements. Learners will also receive guidance on supplements, rest, and overall programme design. This course promotes professional development by blending current industry knowledge with an emphasis on safe and structured fitness practices. Upon completion, learners will possess the skills and confidence to assist clients in achieving personalised fitness objectives and be better positioned to pursue roles in the expanding fitness and wellbeing industries. Course Modules Module 01: Introduction Module 02: The Major Muscle Groups Explained Module 03: Muscle Growth Fundamentals Module 04: Client Assessment Module 05: Workout Design Module 06: Sample Workouts Module 07: Exercise Videos Module 08: Exercise Videos: Isolation Exercises Module 09: Setting Up A Bodybuilding Diet Module 10: Supplements Module 11: Rest & Recovery Module 12: FAQ & Miscellaneous (See full curriculum) Who is this course for? Individuals seeking to start a career as a personal trainer or fitness instructor. Professionals aiming to expand their knowledge and offer structured fitness services. Beginners with an interest in health, fitness, and exercise science. Enthusiasts looking to deepen their understanding of bodybuilding, nutrition, and training principles. Career Path Personal Trainer Fitness Instructor Gym Instructor Wellness Coach Group Fitness Coach Health and Wellbeing Advisor Fitness Consultant

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

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