OpenAI C4 (o1)

OpenAI C3 (Canvas)

Together-Dungeon C1

Guardrails C1

MemGPT C1

Founder, DeepLearning.AI; Co-founder, Coursera

Andrew Ng

Instructor

Coming Soon: Waitlist Test LP

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Partner

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Course access is free for a limited time during the DeepLearning.AI learning platform beta!

Keep learning with updates on curated AI news, courses, and events, as well as Andrew’s thoughts from DeepLearning.AI! 

Want to learn more about Generative AI?

Welcome to the AI Space

First Run in Jupyter Notebook

Write a program

Predicting salary

Custom printing

Inputs

Using Python variables

Making Decisions

Making Python do math

Data types in Python

Doing something many times

Storing and Using Data

Test Gpu Program

深度学习介绍

神经网络基础

浅层神经网络

深层神经网络

Introduction

Exploring Data

Filtering

Visualization

Computing Summaries

Data Cleaning

Indexing

Guidelines

Iterative

Summarizing

Inferring

Transforming

Expanding

Chatbot

Conclusion

Models, Prompts and parsers

Memory

Chains

Question and Answer

Evaluation

Agents

Intuition

Sampling

Neural Network

Training

Controlling

Speeding Up

Summary

Language Models, the Chat Format and Tokens

Classification

Moderation

Chain of Thought Reasoning

Chaining Prompts

Check Outputs

Evaluation Part I

Evaluation Part II

Document Loading

Document Splitting

Vectorstores and Embedding

Retrieval

Question Answering

Chat

[Beta] Quiz

NLP Tasks interface

Image Captioning app

Image generation app

Describe and Generate Game

Chat with any LLM

Instrument W&B

Training a Diffusion Model with W&B

Evaluating Diffusion Models

LLM Evaluation and Tracing with W&B

Finetuning a language model

Keyword Search

Embeddings

Dense Retrieval

ReRank

Generating Answers

Why finetune

Where finetuning fits in

Instruction finetuning

Data preparation

Training process

Evaluation and iteration

Consideration on getting started now

Semantic Kernel is Like Your AI Cooking Kitchen

Cooking Up Flavorful SWOTs with the Kernel

Organizing The Tools You Make for Later Reuse

Frozen Dinner The Design Thinking Meal

Dont Forget to Save the Generated Dripping or The Gravy

A Kitchen That Responds to Your I'm Hungry is More Than Feasible

There's a Fully-Outfitted Professional-Grade Kitchen Ready For You

Getting Started With Text Embeddings

Understanding Text Embeddings

Visualizing Embeddings

Applications of Embeddings

Text Generation with Vertex AI

Building a Q&A System Using Semantic Search

Optional - Google Cloud Setup

Getting Started

Using a String Template

Pair Programing Scenarios

Technical Debt

OpenAI Function Calling

LangChain Expression Language (LCEL)

OpenAI Function Calling in LangChain

Tagging and Extraction

Tools and Routing

Conversational Agent

How to Obtain Vector Representations of Data

Search for Similar Vectors

Approximate nearest neighbours

Vector Databases

Sparse, Dense, and Hybrid Search

Application - Multilingual Search

Overview

Hallucinations

Data Leakage

Refusals and prompt injections

Passive and active monitoring

Advanced RAG Pipeline

RAG Triad of metrics

Sentence-window retrieval

Auto-merging retrieval

How does RLHF work

Datasets for RL training

Tune an LLM with RLHF

Evaluate the tuned model

Google Cloud Setup

Overview of embeddings-based retrieval

Pitfalls of retrieval - when simple vector search fails

Query Expansion

Cross-encoder re-ranking

Embedding adaptors

Other Techniques

Building Blocks

Loading and preparing data

Vectorstores and embeddings

Question answering

Conversational question answering

Shipping as a web API

Next Step

The Fundamentals

Data Preparation

Automation and Orchestration with Pipelines

Prediction, Prompts, Safety

Introduction to Continuous Integration (CI)

Overview of Automated Evals

Automating Model-Graded Evals

Comprehensive Testing Framework

Optional: Exploring the CircleCI config file

Semantic Search

Retrieval Augmented Generation (RAG)

Recommender Systems

Hybrid Search

Facial Similarity Search

Anomaly Detection

Your first generations with Amazon Bedrock

Summarize an audio file

Enable logging

Deploy an AWS Lambda function

Event-driven generation

Overview of Llama Models

Getting Started with Llama 2 & 3

Multi-turn Conversations

Prompt Engineering Techniques

Comparing Different Llama 2 & 3 models

Code Llama

Llama Guard

Walkthrough of Llama Helper Function (Optional)

Selecting models

Natural Language Processing (NLP)

Translation and Summarization

Sentence Embeddings

Zero-Shot Audio Classification

Automatic Speech Recognition

Text to Speech

Object Detection

Image Segmentation

Image Retrieval

Image Captioning

Multimodal Visual Question Answering

Zero-Shot Image Classification

Deployment

Knowledge Graph Fundamentals

Coming Soon: Waitlist Test

What you'll learn

Instructor

Andrew Ng

Coming Soon: Waitlist Test LP

Want to learn more about Generative AI?