📅 Date: 23 February

⏰ Time: 4PM

🌐 Location: Virtual

What’s Happening in Week 3?

✔️ An introduction to Deep Learning & Computer Vision. Its importance in modern AI

✔️ A roadmap for completing Kaggle’s Intro to Deep Learning course

✔️ Guidance on using TensorFlow and Keras to build neural networks

After the session, participants will proceed with self-paced study to dive deeper into these concepts and complete the course exercises independently.

Requisites for Week 3:

1️⃣ Completion of Week 2’s Intermediate Machine Learning course 📚

2️⃣ A Kaggle account ✅

3️⃣ Access to a browser (Google Chrome preferred) 🌐

4️⃣ Excitement to dive into the world of neural networks and TensorFlow! 🎉

This session and self-paced study will equip you with the foundational skills needed to build and train your own neural networks effectively.

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. Feature Engineering

3️⃣ Week 3: Intro to Deep Learning & Computer Vision

4️⃣ Week 4: Time Series. 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

#IntrotoAI