Crash Course: Machine Learning Pipeline and API using R

Everyone is building AI features. Almost no one is building the data systems that make them actually work. That gap is the data engineer's to own — and this course teaches you exactly how. Across 25 modules and 138 lessons you build the pipelines behind real AI: retrieval, RAG, agents, and governed text-to-SQL — not toy demos, but the incremental, evaluated, secured, cost-controlled systems that survive production. You follow one engineer, Maya, whose mandate is "make our data AI-ready," and you finish by shipping the capstone — AskTheData, an end-to-end AI data platform — yourself. What makes this course different: Data-engineering-first, not prompt-first. Embeddings, chunking, ingestion freshness, data contracts, vector stores, hybrid search — the substrate AI runs on, built properly. Code-first with a lab every module. Every module ships runnable code and a hands-on lab; over 40% of slides are real code or demos. Production war stories. Every hard idea lands with a story and an analogy, and real failure drills show you exactly how these systems break — and how to stop them. Governed text-to-SQL done right. Semantic layers on Snowflake Cortex Analyst and Databricks Genie, with an evaluation harness that proves accuracy instead of hoping for it. Agents fed safely. Context engineering, the Model Context Protocol (MCP), durable memory, and access-aware retrieval — the parts most "agent" courses skip. Evaluate, observe, cost-control. An eval + observability harness that gates every change, plus real cost benchmarks — the discipline that separates a demo from a platform. What you'll build, module by module: embeddings demystified, ingestion + freshness + data contracts for AI, document parsing of the messy real world, chunking strategies that

Spatial data is everywhere—from maps and GPS systems to urban planning and environmental analysis. Managing and analyzing this data efficiently requires powerful spatial database tools. In this course, Spatial Database Mastery: PostgreSQL PostGIS, you will learn how to build and work with professional geospatial databases using PostgreSQL and PostGIS, the most widely used open-source spatial database technologies.This course is designed to provide a practical, hands-on understanding of how spatial databases work and how they are used in real-world GIS and geospatial development projects. You will start by learning how to install and configure PostgreSQL and PostGIS, then move on to creating spatial tables, importing geospatial data, and performing powerful spatial queries.Throughout the course, you will explore important spatial operations such as buffers, intersections, spatial joins, distance calculations, and spatial indexing. You will also learn how to optimize spatial queries and manage large geospatial datasets efficiently.By the end of this course, you will have the confidence to design, manage, and analyze geospatial data using PostgreSQL and PostGIS. Whether you are a GIS professional, developer, or data analyst, these skills will help you work with spatial data more effectively and open doors to advanced geospatial applications.After this course you will become master in Postgres PostGIS.

Most data analysis courses teach you a tool. This one teaches you a workflow — the exact, repeatable process of turning a messy spreadsheet into decisions a CEO can act on, using Claude AI as your analyst.By the end, you won't just "know about AI." You'll have personally taken a real, public sales dataset of over 10,000 rows from raw download to a cleaned file, a KPI dashboard, and a one-page executive summary — without writing a single line of code.This is a do-it-alongside course, not a watch-and-forget course.Every lesson follows the same proven rhythm: you see the exact prompt to type, you watch Claude produce the real output, and you learn the business decision that output unlocks. You download the same dataset used in the lectures, so every number you produce matches what you see on screen.What makes this course differentThere are plenty of courses on ChatGPT for data, and plenty on Power BI. There are almost none that teach Claude AI specifically for business intelligence — even though Claude is exceptional at exactly this kind of work: reading files, cleaning data, building interactive dashboards, working inside Excel, and writing analysis a manager will actually read.Instead of toy examples, you'll work the full case study end to end on the famous "Sample Superstore" retail dataset (free and public). Along the way you'll uncover the kind of insights that change how a business operates:A pricing leak where discounts above 20% quietly destroy profitAn entire product line sold at a loss that category-level reports were hidingA seasonal pattern showing half the year's revenue lands in just four monthsYou'll learn to find these in any dataset — including your own company's.The 10-step workflow you'll masterGet and profile your data — spot duplicates, missing values, and trust problems before you analyze anything</

You like React VR and would like to get started? Learning React VR and want to improve now? Then, this is just the place for you! The world of React VR awaits you and that is going to be the best step so that you can advance and go further. The more you learn, the better for you. It is going to be good that you go further as much as you can. There are going to be nice things that you can learn in the world of React VR so do not worry too much if you are just getting started, the important part is that you really have a good will to learn and that is going to be good already.Remember something and it is that you can try enhancing your knowledge right now. There is no time to waste, if you want things to get done, then you have to do them yourself. Take a while to think of what your goals are with Snowflake is going to be important at the end of the day. It will be a good strategy if you can do it today so that you enjoy while learning as much as possible. The more you learn, the more you earn, they say. Time to get started with some React VR!

You finished the business logic of your web page and you're done, right? No! Adding fitting styles and animations to a web page significantly improves the user experience!It's more than a little bonus - animations and styles help the user understand the flow of your page, pass on feedback to the user and overall improve the usability of your page.This course teaches you which tools Angular gives you to dynamically style and animate your web page. This is not a CSS basics course - this course will really dive into the rich toolset Angular ships with, allowing you to build a reactive, user-friendly web application.Just think about your favorite web apps: How many of these look ugly, seem to be styled randomly (and statically) and use no animations? Probably not that many - time to join the club of developers creating awesome user experiences!This is what you'll learn!How Angular helps you with styling and animating your web pageWhat "dynamic" styling and animating meansHow you may either style the whole web app or individual components you builtWhich tools Angular offers you to adjust styles at runtimeHow you can use vanilla CSS to build nice transitions and animationsAll about Angular's Animation package: Building, configuring and using triggers, states, styles, transitions and more!Advanced Animation features like Animation groups, keyframes or callbac

The Spring Framework and Spring Boot enable developers to create high-performing, reusable, easily testable, and loose coupling enterprise Java applications.It can be used to develop any Java application.Knowledge of the Spring framework has a huge demand in the enterprise market and Spring frameworks developers are paid handsomely.Having Spring Framework on your resume will highlight you amongst other Java developers.This course offers hands-on experience building Spring Framework applications using Spring Boot.This course will be interactive and fun as I will code all the projects from scratch.By taking this course you will have the latest skills that you need to build real applications using the Spring Framework.Requirements for this Course:Basic Java knowledge is requiredLearn Spring Boot :Spring Boot dependency injection Spring Core - IoCSpring MVCSpring Data JPASpring RESTMicroservices Spring Boot Annotation Who this course is for:The course is for all Java developers: beginners to advanced who want to master Spring framework modules with Spring BootThis learning path is for developers who wish to create their own web applications with Spring 5This course is ideal for developers who wish to use the Spring Frameworks for enterprise application development