ARTIFICIAL INTELLIGENCE ENGINEER 2

Completed by Ahmed Fouad AbdElkhalek Hashem on May 6, 2026

Verified learner ·

Badge ID: DvqQiOvOS1y6kIjrzvtchg

About this Badge

The badge earner has demonstrated advanced AI engineering skills by building, training, and deploying deep learning architectures, including convolutional and recurrent neural networks, autoencoders, and generative AI models such as large language models (LLMs). They have applied frameworks like LangChain and Hugging Face to develop AI applications, implemented transfer learning in NLP, and created interactive AI solutions, including a QA bot and Gradio-based interfaces, showcasing job-ready ex

Learning objectives

Fine-tune large language models (LLMs) using reinforcement learning from human feedback (RLHF) and proximal policy optimization (PPO) to align with specific business needs.
Apply transformer-based models for natural language processing tasks such as text classification, language translation, and document categorization using PyTorch.
Implement and optimize generative AI models, including transformers and neural networks, for real-world applications like language modeling and sequence-to-sequence tasks.
Develop AI applications using retrieval-augmented generation (RAG) and LangChain, incorporating prompt engineering and document embedding techniques.