~ IBM AI Engineering Certification

The IBM AI Engineering Professional Certificate program covers **machine learning, deep learning, neural networks, and generative AI**. It includes hands-on experience in **TensorFlow, PyTorch, Keras, and transformer models** for AI-powered solutions.

This program is designed for AI engineers specializing in **large language models (LLMs), fine-tuning transformers**, and **building AI-powered applications**.

~ Courses Completed

IBM AI Engineering Certification

Main certification for completing the full AI Engineering program.

Machine Learning with Python

Understanding supervised and unsupervised learning using Python.

Introduction to Deep Learning & Neural Networks with Keras

Exploring artificial neural networks and deep learning principles.

Deep Learning with Keras and TensorFlow

Building and training deep learning models using Keras & TensorFlow.

Introduction to Neural Networks and PyTorch

Understanding neural networks and AI model training using PyTorch.

Deep Learning with PyTorch

Building deep learning models using PyTorch.

AI Capstone Project with Deep Learning

Final hands-on AI engineering project applying deep learning techniques.

Generative AI & LLMs

Exploring large language models and generative AI architectures.

Gen AI NLP & Language Understanding

Training generative AI for NLP tasks.

Generative AI Language Modeling

Using transformers to build advanced language models.

Fine-Tuning Transformers

Optimizing transformer-based models for AI tasks.

AI Agents Using RAG & LangChain

Deploying retrieval-augmented generation (RAG) with LangChain.

Gen AI Applications with RAG & LangChain

Final project using RAG-based generative AI models.