Cohort 4

From Dabbling To Complete Competency: Learn how to build real-world working AI products

Shawn "Swyx" Wang

Founder at Smol.ai

Noah Hein

AI Consultant

Level Up From Software Engineer to AI Engineer

Google

Amazon

Shopify.com

Dropbox

In a focused 3 week span, engineers in this course will learn to create and deploy AI-powered applications from scratch. It's a hands-on journey that will take you from mastering OpenAI API basics to creating intricate Prompt Tooling systems. Week by week, you'll enhance your skills, starting with learning to effectively use Retrieval Augmented Generation for dynamic AI interactions. With each module, you'll tackle Code Generation with GPT-4, delve into Image Generation with tools like Dall-E, and implement Speech-to-Text functionalities with Whisper. But we don't stop at creation; you'll also gain expertise in running open source models, ensuring your applications are fine-tuned to your needs. The culmination of your learning will be the construction of your own AI Agent, encapsulating all the technologies and skills you've absorbed. These are all of the technologies we are seeing as requirements in the marketplace to land a job as an AI engineer — so If you're a software engineer looking to pivot into AI — this is for you.

Get competent and conversant in all major modalities and become an AI Engineer

Software Engineers looking to get a job in AI.

Indie-Hackers interested in building AI-powered applications

Develoeprs eager to learn how to get more productive through cutting-edge AI tools.

Who is this course for

What you’ll get out of this course

Gain a solid foundation in using OpenAI APIs for natural language processing tasks to enhance your applications.

OpenAI API Fundamentals

Master AI Memory/Context and Retrieval Augmented Generation (RAG) to ground responses in fact and improve user interaction with your AI.

Retrieval Augmented Generation

Learn how to generate code with GPT-4 to augment programming tasks and add new capabilities to your application through function calling/tool-use.

Code Generation

Explore image generation with tools like Dall-E, Stability AI, and Lexica to add visual AI capabilities to your projects.

Image Generation

Implement Speech-to-Text features in your applications using Whisper for more accessible and dynamic user interfaces.

Speech-To-Text

Understand the process of finetuning and running open source models to tailor AI behavior to your specific needs.

Open Source Models and Fine Tuning

Complete the journey by building your first AI agent, integrating the various tools and techniques learned into a cohesive project.

AI Agents

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

What people are saying

Meet your instructor

We'll go over the projects for each topic in our live sessions so you can see how it's done, and get any outstanding questions answered.

Tuesday & Thursday

We have lots of reading and homework you can go through to fully immerse yourself in the material.

Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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About this course

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