Week 1 | How ChatGPT Actually Works (Beyond the Hype)

About this event

Build AI Systems Like Top AI Companies

Don't learn AI. Learn to build AI products.

Join CareerByteCode's flagship 12-week AI Engineering Live Series, where you'll move beyond theory and start building real-world AI applications used in modern enterprises.

Whether you're a student, software engineer, Python developer, data analyst, or working professional looking to transition into AI, this live series is designed to help you gain practical AI engineering skills through hands-on development, live coding, architecture discussions, and production-ready projects.

Every session focuses on solving real business problems, understanding enterprise AI architecture, and building applications from scratch—just like top AI companies.

What You'll Learn

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents & Multi-Agent Systems
• Vector Databases
• MCP (Model Context Protocol)
• Production AI Deployment
• AI Evaluation & Monitoring
• FastAPI, Docker & Scalable AI Systems
• End-to-End AI Product Development

What Makes This Series Different?

• Live hands-on coding sessions
• Real-world AI engineering projects
• Enterprise architecture discussions
• Industry best practices
• Interactive Q&A with every session
• Production-ready AI application development

By the end of Season 1, you'll have the knowledge and confidence to build, deploy, and showcase AI applications that strengthen your portfolio and improve your career opportunities.

🎁 Exclusive Benefits for Participants

Every participant who actively attends the live session will receive:

🏆 CareerByteCode Recognized Live Participant Certificate

This certificate is designed to showcase your continuous learning and hands-on AI engineering skills.

Participants will also receive:

• A downloadable digital certificate
• A unique Certificate Verification Link that can be added directly to the Licenses & Certifications section of their LinkedIn profile
• A verified credential that recruiters and employers can view online
• Recognition for participating in a live, instructor-led AI Engineering session

This helps strengthen your professional profile and enhances your visibility during job searches.

💻 Practice Code Access

Participants who wish to receive the complete session code and supporting resources should:

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

This encourages knowledge sharing and helps grow the AI engineering community while unlocking access to the complete practice materials.