Gen AI - Art of the Possible An Intro

Mastering Gen AI: Model Foundations and NLP

In just two weeks, this course will teach you fundamental generative AI and NLP abilities such as word embeddings, language modeling, and text analysis approaches.

Mastering Gen AI: LLM Architecture & Data Preparation

This course provides practical competencies in generative artificial intelligence, large language models, and natural language processing data management, all underpinned by a credential esteemed within the industry.

Mastering Gen AI: Agents with RAG and LangChain

Learn how to develop AI agents using RAG and LangChain, as well as how to integrate sophisticated AI technologies.

Mastering Gen AI: Advanced Fine-Tuning for LLMs

Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.

Mastering Gen AI: Language Models with Transformers

Gain experience in transformer-based models and essential natural language processing techniques, including attention mechanisms, GPT, and BERT, utilizing PyTorch for a diverse array of text classification and language-related tasks.

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.

Power of Gen AI with ChatGPT for Higher Education

This course highlights the ethical implications, the integration of ChatGPT into education, and the enhancement of instruction through the utilization of AI tools.

Managing ML Projects

This second course in Duke University's AI Product Management Specialization delves into the practical aspects of managing machine learning projects, such as the identification of opportunities, the application of data science processes, the making of critical technological decisions, and the implementation of best practices from concept to production.

ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R

Develop and evaluate a neural network that can identify handwritten numerals, implement One Hot Encoding for classification, and evaluate the efficacy of the model through practical exercises.

Predictive Modelling with Azure Machine Learning Studio

Effectively employ Azure ML Studio for predictive model development, experiment establishment, and operationalizing machine learning workflows through drag-and-drop modules.