AI-Driven LMS + Atey Tutor https://validator.w3.org/feed/docs/rss2.html Review your order Data Analyst Track with SQL Database and PowerBI Reporting Data Analyst Track with SQL Database and PowerBI Reporting Intensive Data Visualization with Power BI Intensive Data Visualization with Power BI Intensive Python Programming for Data Science & Machine Learning Intensive Python Programming for Data Science & Machine Learning Data Analytics: Core Foundations for Everyone Data Analytics: Core Foundations for Everyone Introduction to Python for Data Science (Self-paced online) Introduction to Python for Data Science (Self-paced online) Comprehensive Guide to Mastering SQL Server and Database Comprehensive Guide to Mastering SQL Server and Database Data Visualization with Python Data Visualization with Python Power BI Foundational for Dashboard Development (Self-paced online) Power BI Foundational for Dashboard Development (Self-paced online) AI Product Studio Program: Master AI Tools Skills for Product Development in 8 Weeks AI Product Studio Program: Master AI Tools Skills for Product Development in 8 Weeks The Grand Final. Secure your first “user”, record a 2-minute demo, and receive your certificate. Final Deployment & Certification: Minting your DataU-verified Proof of Build. Pitch & Demo: Presenting your tool to stakeholders or potential users Calculating ROI: How much time/money does your tool save? Generate a fully functional, mobile-responsive dashboard for your product User Management: Adding logins, permissions, and security Connectivity: Integrating with Slack, Email, or internal company databases UI/UX Polishing: Using AI to refine aesthetics, themes, and responsiveness Deploy the “V1” of your tool—a functional app that handles at least one core task Creating the Workflow: Connecting buttons to actions and data to displays (Optional): Adding “AI” features—making your tool smarter Debugging with AI: How to describe errors to your AI-builder for instant fixes The First Build: Prompting your MVP into existence Friction Hunting: Identifying $10k+ problems in your company or business niche. The 2026 AI Landscape: Why AI-native builds are replacing traditional SaaS Build a “Logic Blueprint” for your tool that defines every screen and action Wireframing with AI: Generating UI layouts in seconds (Optional) Intro to RAG—connecting your tool to a “Memory” of PDFs or data. Database Design for Non-Coders: Structuring how your product stores information Architectural Prompting: Writing specs that AI-builders understand Product Logic: Mapping out the user journey and data flow. The Modern Stack: Overview of Lovable, Replit Agent, and V0 for rapid builds. Use AI to research 3 underserved niches and draft a “One-Page Solution” for each Product Idea Brainstorming: The “Outcome-as-a-Service” framework Prototype Your AI Digital Product Home Understanding AI Architecture Overview of Autonomous Systems AI Architecture Basics Quiz Research Assignment: Case Studies of Autonomous Systems Blog