Multimodal GenAI RAG Apps

🌟 Course Title: Practical GenAI (Part 2) - Arabic: Build Multimodal RAG Apps - Master Multimodal GenAI and Build Cutting-Edge RAG Apps

Course Headline:

Unlock the Full Potential of Multimodal GenAI with Expert Project Work in Part 2 of Our Practical GenAI Sequel!

Course Description:

🚀 Introduction: This is Part 2 of our "Practical GenAI Sequel," specifically tailored for Arabic speakers looking to dive deep into the world of Large Language Models (LLMs) and General AI (GenAI). The sequel aims to transform you into a seasoned GenAI engineer/developer, equipped with the skills to craft production-level multimodal applications.

📚 Learning Journey: From the basics of understanding LLMs to the advanced art of building sophisticated RAG apps, this course is designed to be a hands-on experience, with an emphasis on practical application through coding. All examples and projects are developed in Python, utilizing Google Colab for interactive coding sessions, and deployed using Streamlit for user interface and cloud functionality.

🛠️ Course Highlights:

• Build a comprehensive suite of GenAI applications from scratch.
• Master Prompt Engineering to create custom solutions beyond ChatGPT's capabilities.
• Leverage OpenAI APIs, LangChain, and other essential tools for real-world applications.
• Develop multimodal apps that integrate text, image, and voice modalities with GPT models, Llama, or Mixtral from Huggingface.
• Utilize Streamlit for seamless UI and deployment of your projects.

🏗️ What You Will Achieve:

• Create a ChatGPT clone, a Midjourney clone, and a Chat with Your Data app, among others.
• Develop a YouTube Assistant app, an Ask YouTube Video app, and a Study Mate App.
• Design a Recommender system, an Image Description App with GPT-V, and an Image Generation app with DALL-E and StableDiffusion.
• Build a Video commentator app using Whisper for voice recognition.

🧠 Advanced Topics:

• Explore advanced prompt engineering techniques to enhance your applications' capabilities.
• Learn how to feed custom data into AI models to unlock unique insights and functionalities.
• Dive into state-of-the-art topics like RAG models and LLM Agents for more nuanced AI interactions.

🤖 Multimodal Magic:

• Combine different modalities, such as integrating images with GPT-V and DALL-E, text with ChatGPT: GPT3.5 and GPT4, and voice with Whisper for a truly multifaceted GenAI experience.

📈 Who Should Take This Course: This course is perfect for developers, data scientists, and AI enthusiasts who wish to expand their knowledge and expertise in building GenAI applications that can interact with users in multiple ways and across various domains. No prior experience in GenAI is required; however, a solid foundation in Python programming is recommended.

Join us on this exciting journey into the world of Multimodal GenAI and RAG apps with Coursat.ai! 🎉

Course Outline:

1. Introduction to LLMs & GenAI

   • Understanding the landscape of Large Language Models
   • Overview of General AI and its capabilities

2. Building Blocks of GenAI Applications

   • Setting up your development environment with Python and Google Colab
   • Exploring OpenAI APIs and other essential tools

3. Prompt Engineering Mastery

   • Crafting effective prompts for diverse applications
   • Advanced techniques to enhance AI interactions

4. Multimodal Integration

   • Combining text, image, and voice in GenAI applications
   • Real-world projects using GPT-V, DALL-E, StableDiffusion, and Whisper

5. Custom Data Utilization

   • Feeding AI models with unique datasets
   • Leveraging custom data for specialized GenAI solutions

6. Developing RAG Apps

   • Understanding the principles of Robustly Attentive GPT (RAG) models
   • Building and deploying robust, attentive, and general AI applications

7. Deployment & Interface Design with Streamlit

   • Deploying your GenAI projects in a production environment
   • Designing user-friendly interfaces for real-world usage

8. Final Projects & Capstone

   • A series of hands-on projects to solidify your skills
   • Capstone project: Building and deploying an end-to-end multimodal GenAI application

Embark on this transformative learning adventure with Coursat.ai, where you'll not just learn but also do, creating impactful multimodal GenAI applications in Arabic! 🌟