๐ Course: Building a Real-World Gen AI App with Groq & Llama Models
Learn to build, integrate, and deploy an AI-powered CV summarization tool using Next.js 15, React 19, TypeScript, and the Groq Cloud API with Llama models.
๐ Course Overview
This hands-on course takes you through the complete process of building and deploying a real-world Gen AI application that leverages Llama models on Groq Cloud. By the end of the course, you’ll have a fully functional AI-powered CV summarization tool capable of real-time streaming responses.
๐ฏ Who is this course for?
- Developers & AI Enthusiasts
- Full-Stack & Front-End Engineers
- Product Builders & Startup Founders
- Anyone curious about LLMs, LangChain, and Groq Cloud
๐ Course Modules & Lessons
๐น Module 1: Introduction to AI-Powered Applications
- Lesson 1.1: What is Generative AI?
- Lesson 1.2: Understanding Llama Models & Groq Cloud
- Lesson 1.3: Why Groq? Free Model Access & High Performance
- Lesson 1.4: Real-World Applications of LLMs in Tech
๐น Module 2: Setting Up Your Development Environment
- Lesson 2.1: Prerequisites – Installing Node.js, pnpm, and VS Code
- Lesson 2.2: Cloning the Project & Exploring the Codebase
- Lesson 2.3: Setting Up Environment Variables
- Lesson 2.4: Running the App Locally with
pnpm dev
๐น Module 3: Understanding the Project Structure
- Lesson 3.1: Overview of Next.js 15 & React 19
- Lesson 3.2: Key Project Files & Directories
- Lesson 3.3: Role of LangChain in AI Integration
- Lesson 3.4: How the AI Model Generates Summaries
๐น Module 4: Integrating Llama Models with Groq Cloud API
- Lesson 4.1: Getting a Groq API Key
- Lesson 4.2: Authenticating & Making API Calls
- Lesson 4.3: Streaming AI Responses for Real-Time Feedback
- Lesson 4.4: Handling Errors & Improving Response Quality
๐น Module 5: Building the Frontend with Next.js & Shadcn
- Lesson 5.1: Setting Up UI Components with Shadcn
- Lesson 5.2: Creating the CV Input & Output Sections
- Lesson 5.3: Styling the Application with Tailwind CSS
- Lesson 5.4: Implementing Dark Mode & Responsiveness
๐น Module 6: Enhancing User Experience & Functionality
- Lesson 6.1: Adding a Character Limit & Validation
- Lesson 6.2: Improving UX with Loading Indicators
- Lesson 6.3: Storing User Preferences (Optional)
- Lesson 6.4: Testing AI Model Accuracy
๐น Module 7: Deploying Your AI App
- Lesson 7.1: Preparing Your Code for Deployment
- Lesson 7.2: Deploying on Vercel for Free Hosting
- Lesson 7.3: Securing API Keys & Environment Variables
- Lesson 7.4: Final Testing & Debugging
๐ Final Project: Deploy Your Own AI-Powered CV Summarizer
At the end of the course, youโll deploy your own AI-powered CV summary generator and share it online as a portfolio project. ๐
๐ก Bonus: Join Our Community & Get Career Tips!
After completing the course, youโll gain access to a tech community where you can ask questions, get project ideas, and connect with professionals in AI & Full-Stack Development.
โ Course Benefits
โ๏ธ Hands-on real-world AI project
โ๏ธ Learn Groq Cloud, Llama models, and LangChain
โ๏ธ Master Next.js 15, React 19, and TypeScript
โ๏ธ 100% practical learning with guided tutorials
โ๏ธ Deploy your project and showcase it in your portfolio
Would you like me to help format this for LearnPress so you can copy-paste it into your LMS? ๐ฏ
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