Learning Generative AI using Python

Official Documentation

Articles

• Essential Topics to master Generative AI
• LangChain VS LangGraph VS LangFlow VS LangSmith

My GenAI Apps using Langchain

1. AI Chatbot with custom parameters

2. Customer Feedback Sentiment Analysis Bot

3. Psychometric Test Bot for Career Analysis

Roadmap to master GenAI:

• Linear Algebra [COURSE 28+ Hrs]
• Fundamentals of ML using Python [COURSE 6+ Hrs]
• In-Depth knowledge of Deep Learning [COURSE 52+ Hrs]
  • Neural Networks - ANN, CNN, RNN
  • Transformer Architecture
• Prompt Engineering - Design and Craft effective prompts [COURSE 22+ Hrs]
• Langchain [COURSE 19+ Hrs]
  • Open-source LLMs
  • Langgraph [COURSE 15+ Hrs]
  • Langsmith
  • Langflow
  • Langserve
• Vector DB [COURSE]
• Fine Tuning LLMs
• AI Agents
  • In-depth knowledge
  • Building them
• Build Portfolio apps

Platforms for Open-Source/Free LLM apis

1. Google Gemini
2. Hugging Face
3. Open Router API
4. Free LLM API resources Github

Running a particular module from the project:

python -m folder_name.file_name

python -m  Chains.Sequential_chain

GenAI / Langchain Tutorials:

• Langchain in-depth Playlist (19+ Hours) by CampusX

• GenAI Full Course (30+ Hours) by INeuronAI

• GenAI for Developers (20+ Hours) by BAPPY AHMED

• Playlist by freecodecamp

• Fine-Tuning LLMs