Product Description

Course Overview

This four-hour workshop will cover everything you need to know to understand the current trends in generative AI, how these models work, and how to train them, and you can leverage them for your business. The session will cover how text, images, video, and music can be created by AI, details about the data they need, and considerations for their use. All hands-on programming will be done in Python.

Prerequisites

Attendees should be comfortable with the basics of programming but need no background in data science or AI.

Certificate

Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who attend a minimum of 85% of the class are eligible for the certificate of completion.

Syllabus

Unit 1: Introduction to Generative AI

Perception vs. generation
Notable examples

Unit 2: Types of Generative Models

Autoregressive Models
Autoencoders
Generative Adversarial Networks (GANs)
Transformers
Diffusion Models
The raise of prompting

Unit 3: Building and Training Generative Models

Gathering training data
Creating a basic model
Defining a training loop
Scaling up

Unit 4: Image, Video, Text, and Music Generation using AI

Large Language Models
Text to Image models
From images to videos
Approaches to music

Unit 5 : How to invest in Generative AI

Opportunities for new products
Improving efficiency

Bonus Unit: How generative AI will disrupt the industry and its social and legal implications

Our Alumni Feedback

The instructors we have are AMAZING!!! They are super knowledgeable and also very passionate about data science. TAs are the most hard working group of people I know! They really try their best to help you. Students are impressive as well. Most of them either have a phd degree or have significant/successful work experiences prior to joining the bootcamp. We did projects during the bootcamp which you can totally show off during your job interviews!

Wendy Yu

The productivity of all the students including myself is one of the most remarkable things about my NYC Data Science Academy experience. The environment of top tier professors, hands on teaching assistants and extensive resources to learn from is inevitably going to prepare you well for a data science career if you are willing to put in the effort. You learn a wide array of tools and gain very good insight about the field itself. They're very proactive when it comes to helping you with your job search.

John Sipala

Wendy Yu

John Sipala

Campus Location

500 8th Ave Suite 905, New York, NY 10018

Nearby Subways

1 2 3 34th, Penn Station

A C E 34th, Penn Station

N Q R B D F M 34th, Herald Square

Detailed Directions

Instructor

Cole Ingraham

Lead AI instructor

Dr. Cole Ingraham has been teaching and working with music, game design, and machine learning for decades. He started learning software engineering and data science by studying music composition and computer animation. As an educator, he taught various instruments, writing music, and programming to students from elementary school through university and beyond. His career as the chief scientist and musician has led him to design Amper Music, the world's leading AI music composition platform from 2015-2020. Later, Cole joined Shutterstock as Director of AI and BlueCore as Director of Data Science. Cole has worked in the industry building generative AI models for Fortune 500 companies and giving consulting services to investment firms and top leaderships in a big array of industries on how to build and invest in a future of Generative AI. He is our Lead AI instructor and in charge of Generative AI and Large Language Model bootcamps and courses.

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