🔥 Learn LLM Engineering Together with Women Coding Community! 🔥

⏳ 12 weeks | 📚 6 topics | ⏱ 50+ hours of learning | 🏆 1 final project

Women Coding Community is excited to invite you to join our upcoming Study Group for the “Large Language Model Engineering Essentials” Cohort — originally organised by Nebius AI. We’re joining their program together so we can learn, share, and stay motivated as a community!
Check out their online course. ⬅️

🚨 How to Join
If you’d like to be part of this Study Group and register together under WCC, you MUST fill out this form: [Google Form 📋✅].
We’ll handle your registration with Nebius on your behalf so we can all start together!

🚀 What’s in Store?
Over 12 weeks, you’ll dive deep into the essentials of Large Language Model (LLM) engineering. Whether you're just getting started or looking for structured study support, this is your chance to build real-world AI skills alongside a supportive group of women in tech 💻✨
You’ll get:

• Access to Nebius AI’s official cohort — including weekly Q&A sessions
• A dedicated WCC Study Group for discussions, questions, and peer motivation
• A final capstone project to build your own AI-powered NPC service

You won’t be learning alone — we’ve got each other’s backs 👯‍♀️📚

📅 Important Dates
First Session: Wednesday, 7th May
Each week:
✅ 1 official Nebius Q&A session
✅ 1 casual WCC Study Group meetup

👩🏽‍💻 About Women Coding Community
We empower women in tech through education, mentorship, and career-building opportunities. From workshops to networking events, we’re here to help you grow your skills and confidence.
🌐 womencodingcommunity.com
📜 Code of Conduct: A safe, inclusive, and supportive space for all.

🎯 What You’ll Learn
👀 Quick Look at the Course Topics & Projects
This hands-on study material focuses on deploying and optimizing LLM APIs and open-source models, with projects in every topic.

1. LLM API Basics – Prompt strategies + build a chatbot
2. LLM Workflows – AI agents, memory, reasoning
3. Context & RAG – Retrieval-Augmented Generation
4. Self-Served LLMs – Deploy open-source models
5. Optimization & Monitoring – Improve performance and reliability

Fine-Tuning – Customize your own AI character

Final Project:
🏆 Build an LLM-powered NPC interaction service

💡 How It Works
✔️ Study at your own pace with materials released weekly
✔️ Join Nebius’ Q&A sessions for direct guidance
✔️ Meet with WCC Study Group weekly to discuss, ask, and support one another
✔️ Stay connected via our Slack channel for daily discussions

✅ What You Need to Join
🔹 Basic Python experience
🔹 Interest in LLMs & AI
🔹 Commitment to 12 weeks of learning

If you’re ready to grow your AI skills and be part of an empowering, supportive community — join us! ✨