This repository contains my learning, notes, and hands-on work from the Generative AI Engineering Specialization.
The specialization focuses on building job-ready skills in Generative AI, Machine Learning, Deep Learning, and NLP applications within a structured learning path.
It emphasizes practical implementation, enabling the development of AI-powered applications, agents, and chatbots using modern tools and frameworks.
- Build and deploy Generative AI applications, agents, and chatbots
- Work with Python libraries such as Flask, SciPy, Scikit-learn, Keras, and PyTorch
- Understand Generative AI architectures and NLP models
- Apply prompt engineering techniques for better AI outputs
- Train and fine-tune models for specific use cases
- Use transformers (BERT) and LLMs (GPT) for NLP tasks
- Implement advanced frameworks like:
- RAG (Retrieval-Augmented Generation)
- LangChain
- Data Wrangling
- Exploratory Data Analysis (EDA)
- Fine-Tuning Models
- Generative Model Architectures
- Large Language Modeling (LLMs)
- LLM Application Development
- Prompt Engineering Tools & Patterns
- Responsible AI Practices
- ChatGPT
- LangChain
- Keras
- PyTorch
- Python Programming
- RESTful APIs
- Vector Databases
- Prompt Engineering Tools
This repository includes:
- 📘 Structured notes on Generative AI concepts
- 💻 Hands-on projects and implementations
- 🤖 AI applications (chatbots, agents, NLP systems)
- 🧪 Experiments with prompt engineering and LLMs
- 📊 Practical examples of model training and fine-tuning
- Covers end-to-end Generative AI development
- Focus on real-world applications and deployment
- Combines theory + hands-on practice
- Includes modern frameworks like LangChain and RAG
- Builds a strong foundation for becoming an AI Engineer
Contributions are welcome! 🚀
If you’d like to improve this repository:
- Fork the repository
- Create a new branch (
git checkout -b feature-branch) - Commit your changes (
git commit -m "Added improvements") - Push to your branch (
git push origin feature-branch) - Open a Pull Request 🎉
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
✔ You are free to:
- Share and redistribute the material
- Adapt and build upon it
⚠ Under the following terms:
- Attribution is required
- Commercial use is not allowed
Kashif Maqbool
🎓 Data Scientist & AI Engineer | Aspiring Autonomous Systems Engineer
💻 Passionate about Open Source, Data Science, Big Data, and AI Systems
🌐 Connect with me:
⭐ If you find this repository helpful, don’t forget to star it and share it with others learning Generative AI!