AI Learning Hub

AI Agents in LangGraph

LangChain, a popular open source framework for building LLM applications, recently introduced LangGraph. This extension allows developers to create highly controllable agents.

Building RAG Agents with LLMs

The evolution and adoption of large language models (LLMs) have been nothing short of revolutionary, with retrieval-based systems at the forefront of this technological leap.

Augment your LLM Using Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) – Introduced by Facebook AI Research in 2020, is an architecture used to optimize the output of an LLM with dynamic, domain specific data without the need of retraining the model.

Python Project for Data Science

Apply Python fundamentals, Python data structures, and working with data in Python.

Python Data Structures

This course will introduce the core data structures of the Python programming language.

Python Basics

Learn Python 3 basics, including conditional statements, loops, and data structures like strings and lists.

AI Foundations: Prompt Engineering with ChatGPT

This prompt engineering course is a unique opportunity to delve into the world of ChatGPT and Large language Models (LLMs). Designed by Andrew Maynard, an expert in transformative technologies, this course equips students with the skills needed to harness the power of ChatGPT effectively.

Prompt Design in Vertex AI

Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI.

Prompt Engineering for ChatGPT

How to apply prompt engineering to effectively work with large language models, like ChatGPT.

Getting Started with Deep Learning

Gain experience with common deep learning data types and model architectures.

Fundamentals of Deep Learning

Learn the fundamental techniques and tools required to train a deep learning model.

Neural Networks and Deep Learning

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.

Foundations of Data Science

Understand common careers and industries that use advanced data analytics.

Data Science Methodology

Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study.

Applied Data Science Capstone

Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders.

Prompt Engineering for ChatGPT

How to apply prompt engineering to effectively work with large language models, like ChatGPT.

Machine Learning for All

Fundamentals of Machine Learning for Healthcare