To help the team get up to speed on the latest developments in AI and LLMs, does anyone have a list of free online courses arranged in chronological order that we can follow to build a POC quickly? If you have such a list, please share it.

Sharing a refined list of the latest free online courses focusing on the practical aspects of AI and LLMs, designed to get your team quickly ready for POC development:

1. Hugging Face Transformers Course
• Platform: Hugging Face
• Duration: Self-paced
• Focus: Practical introduction to using pre-trained transformers, fine-tuning models, and deploying them into applications.
• Why This is Useful: Direct hands-on practice with tools and models that dominate the LLM landscape.

2. LangChain for Developers
• Platform: DeepLearning.AI
• Duration: 3-4 hours
• Focus: Quickly learn how to build applications using LangChain, integrate with APIs, and enable conversational AI in practical scenarios.
• Why This is Useful: Perfect for rapid POC creation and leveraging existing LLMs for real-world use cases.
3. Generative AI Fundamentals

• Platform: Coursera by DeepLearning.AI & OpenAI
• Duration: 6-7 hours
• Focus: Core concepts of generative AI, building applications using GPT models, and understanding practical deployment.
• Why This is Useful: Bridges theory and practice with real-world examples of generative AI applications.

4. OpenAI API Quickstart Guide
• Platform: OpenAI Docs
• Duration: 2-3 hours
• Focus: Step-by-step guide to building your first application using OpenAI’s API, including chatbot creation and other use cases.
• Why This is Useful: Directly addresses building lightweight, practical solutions with minimal overhead.

5. Azure OpenAI Service Tutorials
• Platform: Microsoft Learn
• Duration: Self-paced
• Focus: Practical guidance on deploying, managing, and integrating OpenAI models like GPT on Azure for enterprise solutions.
• Why This is Useful: Combines enterprise scalability with practical deployment insights.

6. Building AI-Powered Chatbots Without Code
• Platform: Google Cloud Skills Boost
• Duration: 4-5 hours
• Focus: Create AI-powered chatbots using Dialogflow without needing deep coding expertise.
• Why This is Useful: Enables rapid development for customer-facing POCs.

7. Practical LLM Applications with FastAPI
• Platform: FastAPI Documentation
• Duration: Self-paced
• Focus: Deploying AI models with FastAPI, creating robust and scalable API endpoints for applications.
• Why This is Useful: Helps translate AI models into production-ready APIs quickly.

8. Prompt Engineering for Generative AI
• Platform: DeepLearning.AI on Coursera
• Duration: 3-4 hours
• Focus: Crafting effective prompts for GPT and other LLMs to maximize efficiency in real-world tasks.
• Why This is Useful: Boosts your team’s ability to get better results with minimal adjustments.

9. Deploying AI Applications with Streamlit
• Platform: Streamlit Tutorials
• Duration: 2-3 hours
• Focus: Build user-friendly front-ends for AI applications using Streamlit, a Python-based rapid prototyping tool.
• Why This is Useful: Perfect for quickly presenting your POC to stakeholders.

10. Cybersecurity for AI Applications
• Platform: Udemy Free Courses
• Course: Practical Cybersecurity for AI Models (search for free offerings)
• Duration: 5-6 hours
• Focus: Understanding and mitigating security risks when deploying LLMs and IoT systems.
• Why This is Useful: Critical for ensuring data security in deployed applications.

These courses emphasize practical application and deployment, avoiding deep theoretical dives, so your team can focus on building impactful POCs efficiently.

You might wanna check this out https://github.com/filipecalegario/awesome-generative-ai