Class is in session
Level Up From Software Engineer to AI Engineer
4.6 (4)
5 Weeks
·Cohort-based Course
From Dabbling To Complete Competency: Learn how to build real-world working AI products
Class is in session
Level Up From Software Engineer to AI Engineer
4.6 (4)
5 Weeks
·Cohort-based Course
From Dabbling To Complete Competency: Learn how to build real-world working AI products
We've Taught and Consulted Students from
Course overview
Get competent and conversant in all major modalities and become an AI 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.
Who is this course for
01
Software Engineers looking to get a job in AI.
02
Indie-Hackers interested in building AI-powered applications
03
Develoeprs eager to learn how to get more productive through cutting-edge AI tools.
What you’ll get out of this course
OpenAI API Fundamentals
Gain a solid foundation in using OpenAI APIs for natural language processing tasks to enhance your applications.
Retrieval Augmented Generation
Master AI Memory/Context and Retrieval Augmented Generation (RAG) to ground responses in fact and improve user interaction with your AI.
Code 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.
Image Generation
Explore image generation with tools like Dall-E, Stability AI, and Lexica to add visual AI capabilities to your projects.
Speech-To-Text
Implement Speech-to-Text features in your applications using Whisper for more accessible and dynamic user interfaces.
Open Source Models and Fine Tuning
Understand the process of finetuning and running open source models to tailor AI behavior to your specific needs.
AI Agents
Complete the journey by building your first AI agent, integrating the various tools and techniques learned into a cohesive project.
This course includes
Interactive live sessions
Lifetime access to course materials
11 in-depth lessons
Direct access to instructor
7 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Level Up From Software Engineer to AI Engineer
Course syllabus
Week 1
Retrieval Augmented Generation, Tokens, and Embeddings
Code Generation With GPT4
Week 2
Image Generation with Dall-E (and others!)
Speech-to-Text with Whisper
Week 3
Running Open Source Models & Finetuning
Build Your First AI Agent
Week 4
Week 5
Meet your instructor
Shawn "Swyx" Wang
Founder at Smol.ai
Swyx is founder of Smol.ai. He is best known for his writing on the Rise of the AI Engineer on the Latent.Space newsletter and podcast.
Swyx is also co-organizer of the AI Engineer Summit.
Noah Hein
AI Consultant
Noah has taught AI through courses and workshops to hundreds of engineers from Google, Meta, Shopify, and more.
He is also an international speaker in the AI industry.
Be the first to know about upcoming cohorts
Level Up From Software Engineer to AI Engineer
Course schedule
4-10 hours per week
Tuesday & Thursday
10:00AM-12:00PM PT
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.
Weekly projects
1-6 hours per week
We have lots of reading and homework you can go through to fully immerse yourself in the material.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Be the first to know about upcoming cohorts