IBM Bob Masterclass: Build Real-World Applications with AI

Learn how to install the IBM AI Coding Agent, configure your development environment, and generate a complete software project structure using AI. In this lesson, you'll set up the AI coding assistant, create your first project, understand AI-powered folder generation, and learn how prompt engineering improves development efficiency.

You'll learn:

• Install IBM AI Coding Agent

• Configure the development environment

• Open and trust your project workspace

• Generate a professional project structure

• Understand AI-generated README and documentation

• Learn prompt engineering fundamentals

• Build projects faster using AI

In this section, you'll build a complete Learning Management System (LMS) using IBM Bob AI through prompt engineering. You'll learn how to craft effective prompts, generate a fully functional training management application, review the AI-generated project structure, and understand the generated HTML files, dashboards, and modules. Finally, you'll run the application locally, verify the output, and publish the project to GitHub, gaining hands-on experience in developing and deploying AI-generated applications.

In this section, you'll learn how to seamlessly publish AI-generated applications from your local machine to GitHub using IBM Bob AI. You'll configure GitHub authentication with GitHub CLI (GH), generate a Personal Access Token (PAT), grant the required repository permissions, and let IBM Bob AI automate Git operations such as repository initialization, commits, and pushing code to GitHub. Finally, you'll verify the deployed repository and learn how to showcase your project as part of your developer portfolio on GitHub and LinkedIn.

Welcome to the grand finale of our Training Management System build! In this fifth and final part, we bring everything together to showcase a fully functional, enterprise-grade application built efficiently using IBM Bob.

If you are just joining us, make sure to check out Parts 1 through 4 to see how we laid the groundwork, or grab the links provided in the resources to catch up quickly!

What you will learn in this section:

• Full Application Walkthrough: Take a deep-dive tour of the completed Training Management System. See how administrators can effortlessly monitor the training ecosystem—tracking total courses, active learners, registered trainers, and certificates from a single screen.

• Feature Deep Dive: Review operational modules including Course Management (with CSV import/export), the Trainer Directory (tracking availability and expertise), Learner Enrollment Tracking, and the dynamic Training Calendar (managing ILT, VILT, and e-learning modes).

• Enterprise Architecture Breakdown: We review how our tech stack—featuring React, TypeScript, Vite, Tailwind CSS, Node.js, Express, PostgreSQL, Prisma ORM, Redis, Docker, and Kubernetes—comes together seamlessly in the final build.

• The No-Code AI Blueprint : You don't need to be a coding wizard. We reveal the exact, practical prompts used with IBM Bob to generate the codebase and automatically publish the local project straight to GitHub.

• Source Code Access: Find out how to access our dedicated GitHub repository containing all the project files, notepad blueprints, and prompts so you can download, replicate, or pivot this system into other use cases like Excel automation or supply chain billing.

By the end of this section, you'll have a complete, birds-eye view of a modern full-stack application lifecycle and the exact AI framework required to deploy your own projects instantly. Congratulations on completing the module!