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AI-Powered SaaS Applications: Database and Authentication

Packt via Coursera

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Overview

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Learn to harness AI for building robust SaaS applications, integrating databases, authentication, and essential CRUD features. Develop production-ready workflows that combine modern web technologies with AI-driven development. This course guides learners through the practical implementation of a full-stack SaaS application using AI-assisted workflows. Topics include database integration with Neon PostgreSQL and Prisma, continuous deployment setup, custom AI commands, MCP integrations, authentication, authorization, and core CRUD operations. Learners will gain the skills to structure, build, and secure scalable SaaS features with confidence. Step-by-step demonstrations and clear explanations help learners apply AI to real-world SaaS development challenges. The course focuses on integrating AI into database workflows, authentication systems, and feature development, ensuring a seamless and production-focused approach. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Coding With AI - Planning To Production, by Brad Traversy. Copyright © 2026 Brad Traversy All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Database Integration & Initial Deployment (CI/CD Setup)
    • This module covers the foundational steps for integrating a database into a SaaS application, including setting up PostgreSQL, configuring Prisma 7, running migrations, seeding data, and deploying through CI/CD pipelines. Learners will gain hands-on experience with database modeling, data population, and deployment workflows.
  • Custom Commands, Skills & Subagents
    • This module teaches how to create and use custom commands and subagents to streamline AI development tasks, improve code quality, and enhance collaboration. Learners will explore the process of building reusable tools and specialized AI roles for efficient implementation and maintenance.
  • MCP (Model Context Protocol)
    • This module explores the Model Context Protocol (MCP) and how it enhances AI tool integration with external systems. Learners will gain hands-on understanding of MCP setup for various platforms, including database, documentation, and browser automation. The content covers practical implementation strategies for improving AI functionality.
  • Authentication & Authorization
    • This module covers the implementation and configuration of authentication and authorization systems using NextAuth, along with security best practices such as email verification, rate limiting, and secure key management. Learners will gain hands-on experience in building secure user authentication flows and improving application security through practical coding exercises.
  • Item CRUD, Research & Unit Tests
    • This module covers the development of item management features, including creating, reading, updating, and deleting items, along with integrating testing practices to ensure functionality and reliability. Learners will explore how to implement user interfaces for item interactions and validate system behavior through automated tests.

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Packt - Course Instructors

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