Duration 3 Days 18 CPD hours This course is intended for This course is intended for a programmer or web developer who is new to mobile app development in iOS. The student has experience using a computer running Mac OS X and developing applications or websites using object-oriented programming languages and tools, but may not have experience using the languages and tools specific to the iOS development environment. Overview In this course, you will develop, test, and package applications for devices that run the iOS operating system, including iPad and iPhone. You will: •Use Xcode to create and run an iOS application. •Write Objective-C code to enable iOS app user interface elements to interact with users. •Identify and describe common iOS design patterns and user interface standards. •Lay out and program apps to provide navigation among multiple views. •Access data from various locations, including app resources, user preferences, private app storage, and web services. •Enable an app to present graphics and multimedia. •Enable an app to interact well with other apps, the iOS system, and the mobile device it runs on. •Debug an app and implement runtime error handling. •Prepare an app for release, including configuration to support internationalization, and to run on multiple devices and different screen dimensions. This Logical Operations courseware is no longer available on the LO Store, but can be purchased by phone orderIn this course, students will learn how to develop and publish iOS apps, focusing on developing business apps for iPhones and iPads. Using Xcode to Develop an iOS App Set Up and Configure Xcode Create an App Project Create a User Interface Run an App in Simulator Programming in the iOS Development Environment Write Code to Handle User Interaction Organize and Maintain Code Use Predefined Classes Identifying Design Requirements for iOS Apps Design an App to Meet User Expectations iOS Design Patterns and Templates Implementing Multiple View Navigation Create an iOS App with Multiple Views Add a Custom View Controller Class Show Temporary Views Working with Data Select an Appropriate Data Storage Approach Load App Data from Property Lists Access Web Data and Services Store and Retrieve Preferences Working with Graphics and Media Load Graphic Images Draw Graphics Through Code Add Animation Effects Integrating with the App Ecosystem Manage App State Changes Map a Location Support Multiple Devices and Orientations Making Code More Robust and Maintainable Debug an App in Xcode Write Code to Handle Runtime Errors Finalizing an App Enable an App to Support Multiple Languages Prepare an App for Release
Learn Bootstrap with CSS and jQuery and explore CSS Flexbox.
Speaking Superheroes and Language Wizards (Online Course + 10 hours of One-to-One Sessions)
Join this course to learn how to build a dynamic and engaging Tic Tac Toe game for iOS using SwiftUI and Firebase integration. Gain practical skills in game development, SwiftUI, and Firebase integration as you create a fully functional Tic Tac Toe game ready to be deployed to the App Store. Basic knowledge of Swift and SwiftUI is essential.
You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.
Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering
VueJS has rapidly gained popularity as one of the most widely used JavaScript frameworks, known for its approachability. In this course, you will delve into the fundamentals of VueJS, including its setup process and the underlying principles that make it work. Through practical application, you will reinforce your understanding by developing a practice project, specifically designed for this course. Prior knowledge of basic JavaScript, as well as familiarity with HTML and CSS, is recommended.
Embark on a transformative Python web development journey with this course and dive deep into creating a dynamic book rental system from scratch. Master Django's import-export capabilities, design elegant UI with Tailwind CSS, implement advanced features, and more. Elevate your skills and build real-world applications effortlessly!
Embark on a journey to master Python with our Diploma in Python Fundamentals course. From basic data types to advanced OOP, learn to code efficiently, handle files, and manage errors in Python. Ideal for beginners and those looking to solidify their programming skills.
Early Years Practitioner Diploma Welcome to the Early Years Practitioner Diploma, a comprehensive course designed to equip you with the requisite skills and knowledge to excel as an Early Years Practitioner. In a world where the educational foundation matters more than ever, your role will be pivotal in shaping the next generation. Learning Outcomes: Familiarize yourself with the EYFS Framework. Understand the crucial role of an EYFS Profile. Gain insights into effective instruction within EYFS. Learn about the roles and responsibilities of EYFS Teachers. Understand the framework for Special Educational Needs and Disability (SEND). Master the SEND Code of Practice. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Early Years Practitioner Diploma: EYFS Framework: Grasp the foundational elements that make up the Early Years Foundation Stage (EYFS) Framework, an essential toolkit for any Early Years Practitioner. Role of the EYFS Profile: Explore the significance of the EYFS Profile, which guides Early Years Practitioners in assessing children's abilities and development. Instruction in EYFS: Discover the teaching methods and techniques that are most effective within the context of EYFS, enriching your capability as an Early Years Practitioner. Responsibilities and Tasks of EYFS Teachers: Learn about the diverse roles that EYFS Teachers undertake, enhancing your multi-faceted skills as an Early Years Practitioner. Understanding SEND within EYFS: Understand the intricacies of Special Educational Needs and Disability (SEND) within the scope of EYFS, a critical aspect for an Early Years Practitioner. SEND Code of Practice: Familiarize yourself with the SEND Code of Practice, guidelines that every Early Years Practitioner should know to handle SEND effectively.