Week 2 | Build Your First AI Application Using LLMs

About this event

Have you ever wondered how AI-powered applications like ChatGPT, AI Resume Screeners, GitHub Copilot, and intelligent assistants are built?

This session is your opportunity to move beyond simply using AI and start building your own AI-powered application from scratch.

In this live hands-on session, you'll learn how to integrate Large Language Models (LLMs) into a real application, connect AI APIs, write effective prompts, and build a complete AI project that you can showcase in your portfolio.

Instead of focusing only on theory, we'll develop a practical application step by step, explaining every concept and architectural decision along the way.

By the end of this session, you'll understand the core building blocks of AI application development and gain the confidence to continue building your own AI products.

💻 Live Project

Build an AI Resume Reviewer

Together, we'll create an intelligent application that can:

• Analyze resumes using AI
• Compare resumes with job descriptions
• Identify missing technical skills
• Suggest profile improvements
• Generate an AI-powered compatibility score

This project demonstrates how modern organizations leverage AI to streamline recruitment and talent evaluation.

📚 What You'll Learn

• Introduction to AI Application Architecture
• Understanding Large Language Models (LLMs)
• Connecting to AI APIs
• Prompt Engineering Fundamentals
• Working with Hugging Face Models
• Building Interactive AI Applications with Streamlit
• Processing User Input and AI Responses
• Best Practices for AI Application Development
• Real-world AI Development Workflow

🎯 Session Agenda

Why Every Developer Should Learn AI Application Development

Understand how AI is transforming software engineering and why AI development skills are becoming essential.

AI Application Architecture

Learn how users, applications, APIs, and AI models work together in a production environment.

Working with LLM APIs

Discover how to securely connect your application with modern AI models.

Prompt Engineering

Learn how well-designed prompts improve AI accuracy and response quality.

Streamlit Development

Build a modern web interface for your AI application with minimal code.

Hugging Face Integration

Explore how to leverage open-source AI models for real-world applications.

Live Coding

Build an AI Resume Reviewer from scratch while understanding every implementation step.

Industry Best Practices

Learn practical tips, common mistakes, optimization techniques, and future enhancements used by AI engineering teams.

Interactive Q&A

Get your questions answered and receive guidance on your AI learning journey.

👥 Who Should Attend?

🎓 College Students

🎓 Final Year Students

💼 Fresh Graduates

👨‍💻 Software Engineers

🐍 Python Developers

📊 Data Analysts

☁️ Cloud & DevOps Engineers

🤖 AI Enthusiasts

Anyone interested in becoming an AI Engineer or building AI-powered applications.

🎁 Exclusive Participant Benefits

Every participant attending the live session will receive:

🏆 CareerByteCode Recognized Live Participant Certificate

• Downloadable Digital Certificate
• Unique Certificate Verification Link
• Add your verified certificate directly to the Licenses & Certifications section of your LinkedIn profile
• Showcase your continuous learning journey to recruiters and hiring managers

💻 Access to Practice Code

Participants who wish to receive the complete project source code and learning resources should:

• Share their learning experience on LinkedIn
• Tag Jenefer Rexee George
• Tag CareerByteCode
• Tag at least 2–3 friends

This encourages community learning while unlocking access to the complete project resources.

🚀 Whether you're starting your AI journey or looking to enhance your software development skills, this session will help you build your first AI application and take a significant step toward becoming an AI Engineer. Join us and start creating AI solutions that solve real-world business problems.