📅 Date: 23 March

⏰ Time: 4PM

🌐 Location: Virtual

What’s Happening This Week?

In Week 6: Embeddings and Vector Stores/Databases:

✔️ An introduction to embeddings and their importance in representing complex data

✔️ Insights into vector databases and search algorithms used in real-world AI applications

✔️ A roadmap for continuing self-paced study and experimenting with tools

After the session, participants will continue with self-paced study to deepen their understanding and practice implementing embeddings and vector stores in projects.

Requisites for Week 6:

1️⃣ Completion of Week 5’s Foundational Models & Prompt Engineering 📚

2️⃣ Access to an embedding generation tool (e.g., Hugging Face, OpenAI, or TensorFlow) 🌐

3️⃣ A readiness to experiment with vector database platforms ✅

This session and self-paced study will empower participants to build systems capable of understanding, organizing, and retrieving data effectively—essential for advanced AI applications.

Complete Series Overview

This program unfolds across multiple weeks, offering foundational insights and advanced explorations into machine learning and generative AI.

What is AI Study Jams?

AI Study Jams are community-driven learning sessions using free resources like:

• Kaggle Learn,
• books,
• and online courses.

Get hands-on with AI through assignments, tutoring, talks, and discussions. Perfect for anyone starting their AI journey!

AI Study Jam Weekly Plan:

1️⃣ Week 1: Intro to Machine Learning

2️⃣ Week 2: Intermediate Machine Learning

3️⃣ Week 3: Intro to Deep Learning

4️⃣ Week 4: Intro to AI Ethics

Apply AI to real-world forecasting tasks:

5️⃣ Week 5: Foundational Models & Prompt Engineering

6️⃣ Week 6: Embeddings and Vector Stores/Databases

7️⃣ Week 7: Generative AI Agents

8️⃣ Week 8: Domain-Specific LLMs

9️⃣ Week 9: MLOps for Generative AI

#GDGAhlen 

#AIStudyJams

#AI

#MachineLearning

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