Gen AI for Beginners

What will you learn in Generative AI for Beginners Course:

How to get the best out of this course:

• The Path to Beginner-level Gen AI Engineer

Generative AI & Large Language Models

• Generative AI Introduction

• Decentralized AI & LLM Origins

• Different Types of Large Language Models

• How to choose your LLM? (LLM Leaderboard)

Large Language Models (Hands-on) Tutorials

• Running LLMs on Google Colab (Mistral 7B)

• Running LLMs 100% Locally on CPU (LM Studio & Ollama Tutorial)

• Running LLMs on the Cloud (RunPod Tutorial)

• Getting the best out of LLMs (Prompt Engineering)

Large MultiModal Models (LLMs)

• The Rise of LMMs (Large MultiModal Models - GPT-4 Vision)

• Truly Multi Modal (Google Gemini)

• GPT-4V Prompt Engineering Tips (Vision Language Model Prompting)

• Open MultiModal Models (LLaVA)

• Running LMMs on CPU (LlaVA with Ollama Tutorial)

• Chat with (MultiModal) LMMs Locally (LlaVA with LMStudio Tutorial)

AI (LLMs) in Business

• How to Leverage LLMs in Business (Enterprise Readiness)

• Applications of LLMs in the Real Life (AI in Business)

• Hands-on Building LLM QA Chatbot (HuggingFace Zephyr-7B)

• LLM Fine-tuning with Custom Data (LLama2 QLoRA Fine-Tuning)

• (QuickBytes) QLoRA Tips

• LLMs with Custom Knowledge (Local RAG LLM)

• Getting Structured Output from LLMs (Classical NLP with LLMs)

Capstone Project

• Building the Capstone Full-Stack LLM Application (Gradio & Langchain)

NoCode AI Assistants

• OpenAI GPTs for No-Code AI Apps (RAG, FunctionCalling)

• Open AI Store & AI Assistants (NoCode Hugging Face Assistants)

What can you learn forward

• What did we not learn in this course 

Who is this course not for?

• You already have fine-tuned a Llama or Mistral

• You know how to build RAG solutions

I want to join, but I can't afford the price

Watch the videos here almost every day, that will give you the knowledge required :)