Abdoulaye Diop

Generative AI with Large Language Models (DeepLearning.AI, Amazon Web service, Coursera):

- Generative AI project lifecycle

- Prompt Engineering: Zero shot to Few shot learning

- Instruction Fine-tuning: Parameter-Efficient Fine-Tuning (PEFT), LoRa

- Practical experience using Hugging Face libraries

- Reinforcement Learning with human feedBack (RLHF) with Proximal Policy optimization (PPO)

- Retreival augmented generation (RAG), Chain of thought prompting (with ReAct) & LangChain

Introduction du Responsible AI (Google Cloud Skills):

- Identify the need for a responsible AI practice within an organization

- Recognize that decisions made at all stages of a project have an impact on responsible AI

- Recognize that organizations can design AI to fit their own business needs and values

Attention Mechanism (Google Cloud Skills):

- Understand the concept of attention and how it works

- Learn how attention mechanism is applied to machine translation

Encoder Decoder Architectures (Google Cloud Skills):

- Understand the main components of the encoder-decoder architecture

- Learn how to train and generate text from a model by using the encoder-decoder architecture

- Learn how to write your own encoder-decoder model in Keras

Introduction to Image Generation Models (Google Cloud Skills):

- How diffusion models work

- Real use-cases for diffusion models

- Unconditioned diffusion models

- Advancements in diffusion models (text-to-image)

IBM Professional Data Science Specialization (IBM):

- Tools for Data Science

- Data Science Methodology

- Python for Data Science, AI & Development

- Python Project for Data Science

- Databases and SQL for Data Science with Python

- Data Analysis with Python

- Data Visualization with Python

- Machine Learning with Python

- Applied Data Science Capstone