Building a Firework Animation in SwiftUI - Hands on guide



Published 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 538 MB

Create Stunning Firework Animations in SwiftUI - A Step-by-Step Guide


What you'll learn
SwiftUI
Animation
View Composition
Special Effects using Native SwiftUI components
Requirements
Knowledge of Swift
Description
Bring Your SwiftUI Apps to Life with Stunning Firework and Confetti Animations!Are you looking to enhance your SwiftUI skills with eye-catching animations? This hands-on course will teach you how to create dynamic firework and confetti effects using SwiftUI's powerful animation framework. Whether you're designing celebratory visuals, adding interactive feedback, or making your app more engaging, this course provides a step-by-step guide to crafting smooth and immersive animations.What You'll Learn:SwiftUI Animations - Master essential techniques like withAnimation, TimelineView, and Canvas to create fluid motion effects.Custom Shapes - Use Shape and Path to design unique firework particles and confetti elements.Reusable Firework & Confetti Views - Build modular components that can be easily integrated into any SwiftUI project.Gesture Interactions - Implement onTapGesture and other gestures to trigger animations dynamically.Realistic Motion Effects - Add physics-based behaviors such as explosion trajectories, fading particles, and randomized motion for a natural look.This course is perfect for iOS developers who want to explore creative animations in SwiftUI. By the end, you'll have the skills to build custom firework and confetti effects that bring excitement to your apps. Whether you're a beginner or an experienced developer, this course will take your SwiftUI animation expertise to the next level!
Who this course is for
Anyone who wants to learn advanced animation techniques
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Big Data Analytics In Finance



Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 372.21 MB | Duration: 0h 33m

A Practical Guide to Big Data in Finance: Tools, Techniques, and Real-World Applications


What you'll learn
Understand the fundamentals of big data analytics and its relevance in finance.
Apply big data tools and techniques for risk assessment and management.
Develop strategies for customer segmentation using data-driven insights.
Implement effective fraud detection systems using advanced analytics.
Requirements
No prior big data experience required
Basic knowledge of finance and statistics
Familiarity with spreadsheets and a willingness to learn
Description
Upon Completing This Course, Learners Will Be Able To:Apply big data analytics techniques to enhance financial decision-makingUnderstand and implement data-driven strategies using big data tools and platforms to support critical financial decisions, including investment analysis, portfolio optimization, and budgeting. Learners will explore real-time data processing, data visualization, and predictive analytics in financial contexts.Develop effective risk management and fraud detection strategiesUtilize big data techniques such as anomaly detection, machine learning models, and behavioral analytics to identify and mitigate financial risks. Learners will design and evaluate systems that proactively detect fraud patterns, assess credit risks, and ensure regulatory compliance.Create targeted customer segmentation models using data insightsLeverage clustering algorithms, transaction data, and behavioral patterns to segment customers based on profitability, risk profiles, and product preferences. Learners will gain the ability to design data-driven marketing and personalized financial services strategies.Integrate financial data from multiple sources for holistic analysisLearn how to aggregate and clean data from internal systems, market feeds, and third-party sources to gain a comprehensive view of financial performance and customer behavior.Interpret and communicate insights from complex datasets to stakeholdersBuild dashboards and data visualizations that clearly convey analytical findings to financial managers, executives, or clients, enabling informed decision-making.
Finance professionals or students looking to expand into data analytics,Analysts aiming to integrate big data into financial decision-making,Anyone with a basic understanding of finance and a curiosity for data analytics
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AutoCAD 2026 Essential Training



Released: 03/2025
Duration: 9h 52m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 1.23 GB
Level: Beginner + Intermediate | Genre: eLearning | Language: English


In this essential training course, Shaun Bryant-a platinum level Autodesk Certified Instructor-dives into the fundamentals of AutoCAD 2026. Learn how to navigate the interface, set up workspaces, and use basic tools to create and modify drawings with precision. Explore the power of layers and properties, and see how to enhance your drawings with hatches, gradients, and revision clouds. Get hands-on experience creating and managing both simple and dynamic blocks, along with useful attributes. Manage external references (xrefs) and learn advanced skills like page setup and plotting, including batch plotting and creating electronic transmittals. Discover AutoCAD's modern collaboration tools, including AutoCAD web and mobile, and understand how to share and update your designs effectively. This course offers you practical tips and shortcuts to work smarter, not harder.
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AI for Business Intelligence | Data Development with AI



Published 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 16m | Size: 1.43 GB

Data Development solutions with AI | AI tools to enhance Data development and Data Productivity


What you'll learn
Define how AI tools help Data professionals
AI Prompt Engineering for Data, SQL and PowerBI
Business Intelligence Lifecycle and Boosting your productivity with AI
Using AI for Data Engineering
Using AI for Data Querying
Using AI for Reporting and Dashboards
Using AI to create diagrams
Requirements
Basic Database and Reporting knowledge required, you can learn as you go along!
Description
This comprehensive training pack equips data professionals with the skills to leverage AI for enhanced business intelligence and data development solutions. Learn how to bridge the gap between data and business needs, understand the data lifecycle within a BI context, and master AI-powered code assistance tools like GitHub Copilot and Google Gemini Code Assist. Increase your efficiency, improve code quality, and deliver data-driven insights faster with the power of AI. Includes hands-on exercises and real-world examples.This course covers: Data and Business bridging the gapBusiness Intelligence and Data LifecycleWhat is AI Code assist for Data professionalsTooling for Data and AnalyticsPrompt engineering FoundationsCo-Pilot & Gemini Code Assist usageUse Cases for AI in Data DevelopmentRequirementsExplainDocumentBuildTestInsights and AnalysisDiagramming your SolutionsWhat you will learn rompt engineering foundationsResponsible AI practicesPractical use cases for AI in data development (including requirements gathering, code generation, testing, analysis, and visualization), Integration with tools like SQL Server, Visual Studio Code, and Power BI. Through real-world examples and practical exercises, you'll discover how to:Accelerate code completion and reduce debugging time.Generate synthetic data for robust testing and development.Automate documentation and improve code understanding.Translate code between languages (e.g., SAS to SQL, Python).Extract valuable insights and formulate business recommendations.Develop data warehouse solutions using the Kimball methodology.Create impactful Power BI dashboards and reports.Design clear and informative diagrams for solution documentation.
Who this course is for
Beginner to Intermediate Data Analysts, Data engineers and Data professionals. Data curious people will benefit from the content.
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AI For Beginners 2025 : Master The Basics Of Ai In 1 Hour



Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 407.96 MB | Duration: 0h 53m

Learn the fundamentals of AI, Machine Learning, and Generative AI -no coding or math needed! Perfect for beginners!

What you'll learn
Introduction to Artificial Intelligence
Introduction to Machine Learning
Introduction to Neural Networks & Deep Learning
Introduction to Generative AI (Gen AI)
Large Language Models (LLMs)
Steps in building Machine Learning Models
Types of Data used in Machine Learning
Labeled Data & Unlabelled Data
Structured & Unstructured Data
Supervised & Unsupervised Learning
Reinforcement & Self-Supervised Learning
Types of Inferencing - Batch & Real-time
Foundation Models in Gen AI
Diffusion Models
Multimodal Models
Introduction to Prompt Engineering
Output Optimisation & Fine-tuning
Retrieval Augmented Generation (RAG)
Cost of building & running AI systems
Ethical Considerations in AI
Requirements
Zero prerequisites! Beginner-friendly AI course. No math/coding required-just enthusiasm to learn. We explain everything simply.
Description
Welcome to "AI for Beginners 2025 : Master the Basics of AI in 1 Hour" - your first step into the fascinating world of AI! In this course, you'll discover:What AI really is (and isn't!)How Machine Learning & Deep Learning powers everyday technologyWhy Generative AI (Gen AI) like ChatGPT is transforming industriesThe core concepts we'll unpack togetherPerfect for complete beginners, this course requires no technical background - just your curiosity! We'll break down complex ideas into simple, relatable examples, preparing you to:✓ Understand AI news and trends✓ Speak confidently about AI terms✓ Explore potential career paths✓ Make informed decisions about AI toolsHere's what you'll learn:We'll start with an Introduction to AI, where we'll explore what artificial intelligence is and how it's shaping industries like healthcare, finance, and entertainment.Then, we'll dive into the Types of AI-from narrow AI that powers your favorite apps to the dream of general AI that can think like a human.Next, we'll explore Machine Learning, the heart of AI. You'll learn about the steps to build a machine learning model, the importance of training data, and the difference between labeled and unlabeled data. We'll also break down structured and unstructured data-because not all data is created equal!Ever wondered how Netflix knows what you want to watch next? That's Supervised Learning at work! Or how your email filters out spam? That's Unsupervised Learning. We'll explain these concepts in simple terms, with real-world examples to make it all click.But we won't stop there! We'll introduce you to Neural Networks and Deep Learning-the technologies behind facial recognition and voice assistants. And get ready to explore the exciting world of Generative AI, where machines can create art, write stories, and even compose music!We'll cover Foundation Models, Large Language Models (LLMs) like ChatGPT, and even Diffusion Models-the magic behind AI-generated images. Plus, we'll dive into Multimodal Models that can understand text, images, and more!We'll also explore advanced topics like Retrieval Augmented Generation (RAG) and Model Output Optimization, so you understand how AI systems deliver accurate and useful results. And because AI isn't just about technology, we'll discuss the Cost of Building and Running AI Systems and the Ethical Considerations-because with great power comes great responsibility!By the end of this course, you'll have a solid understanding of AI concepts, terminologies, and tools. You'll be ready to take your first steps into the world of AI, whether for a career, a hobby, or just to satisfy your curiosity.So, are you ready to unlock the power of artificial intelligence? Let's get started!No coding • No math • Just clear and simple explanations
Absolute beginners curious about AI! Professionals, students, or hobbyists-no tech background needed. Perfect if you want to understand AI basics fast.
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