Skip to content

About

This repository features my coursework from the IBM Generative AI Engineering Professional Certificate on Coursera. It includes Jupyter Notebooks with code, explanations, and visualizations, along with HTML/PDF summaries. The content highlights my skills in Generative AI, LLMs, NLP, and model optimization.

Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository
BranchesTags
 
 

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
1. Introduction to Artificial Intelligence (AI)
1. Introduction to Artificial Intelligence (AI)
 
 
10._Generative AI and LLMs Architecture and Data Preparation
10._Generative AI and LLMs Architecture and Data Preparation
 
 
11._Gen AI Foundational Models for NLP & Language Understanding
11._Gen AI Foundational Models for NLP & Language Understanding
 
 
12._Generative AI Language Modeling with Transformers
12._Generative AI Language Modeling with Transformers
 
 
13._Generative AI Engineering and Fine-Tuning Transformers
13._Generative AI Engineering and Fine-Tuning Transformers
 
 
14._Generative AI Advance Fine-Tuning for LLMs
14._Generative AI Advance Fine-Tuning for LLMs
 
 
15._Fundamentals of AI Agents Using RAG and LangChain
15._Fundamentals of AI Agents Using RAG and LangChain
 
 
16._Project Generative AI Applications with RAG and LangChain
16._Project Generative AI Applications with RAG and LangChain
 
 
2. Generative AI Introduction and Applications
2. Generative AI Introduction and Applications
 
 
3. Generative AI Prompt Engineering Basics
3. Generative AI Prompt Engineering Basics
 
 
4._Python for Data Science, AI & Development
4._Python for Data Science, AI & Development
 
 
5. Developing AI Applications with Python and Flask
5. Developing AI Applications with Python and Flask
 
 
6. Building Generative AI-Powered Applications with Python
6. Building Generative AI-Powered Applications with Python
 
 
7._Data Analysis with Python
7._Data Analysis with Python
 
 
8._Machine Learning with Python
8._Machine Learning with Python
 
 
9._Introduction to Deep Learning & Neural Networks with Keras
9._Introduction to Deep Learning & Neural Networks with Keras
 
 

About

This repository features my coursework from the IBM Generative AI Engineering Professional Certificate on Coursera. It includes Jupyter Notebooks with code, explanations, and visualizations, along with HTML/PDF summaries. The content highlights my skills in Generative AI, LLMs, NLP, and model optimization.

Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages