IBM AI Engineering Professional Certificate

In this IBM AI Engineering Professional Certificate I learned to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders, and generative AI models including large language models (LLMs).

I mastered fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python. I applied popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. I also built Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain.

Courses

1. Machine Learning with Python
2. Introduction to Deep Learning & Neural Networks with Keras
3. Deep Learning with Keras and Tensorflow
4. Introduction to Neural Networks and PyTorch
5. Deep Learning with PyTorch
6. AI Capstone Project with Deep Learning
7. Generative AI and LLMs: Architecture and Data Preparation
8. Gen AI Foundational Models for NLP & Language Understading
9. Generative AI Language Modeling with Transformers
10. Generative AI Engineering and Fine-Tuning Transformers
11. Generative AI Advanced Fine-Tuning for LLMs
12. Fundamentals of AI Agents Using RAG and LangChain
13. Project: Generative AI Applications with RAG and LangChain