Introducing AI Engineering Academy

AI-related careers are becoming increasingly sought-after. However, the abundance of learning resources scattered across the internet can lead to confusion about where to start.

AI Engineering Academy aims to provide a structured learning path to help you learn Applied GenAI effectively.

Roadmap

1. Prompt Engineering

This roadmap will cover the basics of prompt engineering and its role in various AI applications.

2. Retrieval Augmented Generation (RAG)

If you've been in the AI space, you might have heard of RAG (Retrieval Augmented Generation). In this roadmap, we will cover:

• Understanding what RAG is
• Implementing RAG from scratch without using any frameworks
• Choosing the best RAG system for your needs
• Taking a RAG system to production

3. Fine-tuning

(coming soon)

We will debunk some myths about fine-tuning and explore where it can be effectively used. Fine-tuning can be a powerful tool, but it's often misunderstood. Expect to learn:

• The true potential of fine-tuning
• Proper techniques for fine-tuning models

4. Deployment

(coming soon)

While everything might work perfectly locally, putting models into the hands of users requires careful consideration. In this roadmap, we will cover:

• Deploying ML and DL models into production
• Working with different cloud providers
• Exploring various deployment modes

5. AI Agents

(coming soon)

6. Projects

(coming soon)

Consists of multiple hands-on end-to-end AI projects!!

Repo Admin 👨‍💼

Contributors 🌟

Thanks to these wonderful people for their contributions!