Generative AI for Complete Beginners

Course Title: Generative AI for Complete Beginners

Course Headline: Master GenAI, LLM, Langchain, Prompt Engineering in a Project-Based Approach! 🚀✨

Dive into the World of Generative Artificial Intelligence!

Course Description:

This course is a practical guide to learning Generative AI concepts:

• Large Language Models (LLMs) 🧠
• Tokenization, Word Vectors, and Embeddings 🔍
• Fine Tuning LLMs 🎨
• Langchain 🚀
• Prompt Engineering Concepts 🤔
• Using OpenAI API 🤖

About the Course:

What is Generative AI? It's a transformative technology that allows machines to create new, original content based on learned patterns. With just a simple prompt, you can generate text, images, audio, and even code! The ease of use and potential applications make it an exciting field for both developers and creatives.

1. Artificial Intelligence (AI) 🤖

AI is the motherboard of modern innovation, encompassing everything from simple tasks like predictive text to complex problem-solving like diagnosing diseases. It's where we started our journey into the realm of smart machines.

2. Machine Learning (ML) 📊

ML is AI's brainy cousin, focusing on algorithms that learn from data. Unlike traditional programming, ML systems adapt and improve over time, making them incredibly versatile and powerful.

3. Deep Learning 🧠

Deep Learning is ML with a PhD in complexity and patterns. It uses neural networks inspired by the human brain to tackle tasks that were once thought impossible for machines, like recognizing human emotions through voice or detecting objects in images.

4. Generative AI ✨🎨

This is where things get really interesting! Generative AI is like a digital Picasso, creating art and content from scratch based on the data it's learned from. It can be both an artist and a forger, capable of breathtaking creations as well as deceptive deepfakes.

Course Structure:

• Week 1-2: Introduction to AI & Machine Learning 🎓

  • Understanding the basics of AI and ML
  • Exploring historical developments and key figures

• Week 3-4: Deep Dive into LLMs & Embeddings 🤓

  • Exploring Large Language Models like GPT-3
  • Tokenization, word vectors, and what they mean for AI content creation

• Week 5-6: Fine Tuning LLMs & Langchain 🛠️

  • Learning how to fine-tune models to specific tasks or data sets
  • Introduction to Langchain and project-based learning

• Week 7-8: Mastering Prompt Engineering & OpenAI API 🧙‍♂️

  • Understanding the art of prompt engineering for better model performance
  • Hands-on experience with the OpenAI API in real-world scenarios

Why Take This Course?

• Practical Skills: You'll learn by doing, with projects that showcase the real-world applications of generative AI.
• Cutting-Edge Knowledge: Stay ahead of the curve and understand the latest advancements in AI technology.
• Versatility: Whether you're a developer, creative, or entrepreneur, these skills will open new possibilities for innovation.
• Community: Join a community of like-minded learners and experts in the field to collaborate and share insights.

Enroll now to embark on an exciting journey into the future of AI-driven creativity and intelligence! 🚀💡