Noah Hein

Cohort 4

Opening Cohort

Cohort 2

Cohort 3

Cohort 5

Cohort 6

Cohort 7

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

Shawn "Swyx" Wang

Founder at Smol.ai

AI Consultant

Level Up From Software Engineer to AI Engineer

Data Scientist

Senior Frontend Developer

DevRel AI Engineer

Senior Software Engineer

Full Stack Developer

Software Engineer

AI Software Engineer

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

Course syllabus

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

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

Take Your AI App From Prototype to Production with Portkey

Vrushank Vyas

Head of GTM and Customer Success at Portkey

Teaching thousands of students the foundation of AI Engineering

add automatic retries, fallbacks, and circuit-breakers so your AI features never 500.

Reliability by default

dynamically shift traffic between OpenAI, Anthropic, or OSS models to hit SLAs and budgets

Multi-model routing

instrument tokens, latency, cost, and PII redaction; set alerts when models drift.

Observability & guardrails

Build Your Own “Deep Research” with LlamaIndex

Laurie Voss

VP of Developer Relations at LLamaIndex

AI Engineering Consultant

Spin up a single agent that answers live queries in < 5 min.

AgentWorkflow in Action

Chain Research → Write → Review agents using shared context.

Multi-agent orchestration

Stream deltas, tool calls, and outputs for real-time insight.

Streaming & tracing

Add review cycles so agents critique and improve their work.

Self-reflection loops

Deconstruct The AI Engineering Roadmap

Founding Engineer at Smol.ai

Understand the 7 foundational AI Engineering skills that you need to succeed in this burgeoning industry.

The Foundation of AI Engineering

Gain a clear and actionable understanding of the products and tools to use on your AI engineering journey.

Tools

Gain insight into best practices around the technology, and have a clear roadmap of what to learn next.

Best Practices

Skills to Get Hired As An AI Engineer (AI Engineer Roadmap)

Founding Engineer at Smol AI

The Roadmap to Become an AI Engineer

Swyx

Founder of Smol AI

Code a custom ChatGPT

Founder

AI Engineer

Learn the ins and outs of the OpenAI API, and get your development environment set up.

Setup

Walk through and write the code of a fully functioning custom ChatGPT application.

Development

Ship an MVP — via a telegram bot — that you can share with others, and build off of to further cement your knowledge.

Learn directly from Noah Hein