AI Engineering online course
Learn. Build. Launch. The first AI Engineering course in Europe offering an optional accelerator to help turn your ideas into reality.
Self-paced, 100% online
Minimum 8-12h per week
3 months to graduate
Ideal for working professionals
1:1 mentoring and community access
Optional AI accelerator
Up to 20 full scholarships for first learners
“In numbers, there's probably going to be significantly more AI Engineers than there are ML engineers / LLM engineers.”
Open the door to the most in-demand tech careers
The AI Engineering course will give you hands-on experience designing and building applications with Large Language Models (LLMs), LangChain, and AI agents. You’ll learn the tools and gain the knowledge needed to thrive in high-demand AI-roles like AI Engineer, LLM Engineer, ML Engineer, Software Engineer, Data Scientist and Backend Developer.
Professionals with AI expertise earn up to a 25% higher salary
Is AI Engineering course for me? Yes, if:
You have tech background (worked in roles such as developer, software engineer or product manager) and are looking to transition into AI roles
You are a tech professional looking to explore AI-driven innovations
What can you expect?
Self-paced learning and flexible schedule
Learn at your own pace, anytime. We recommend 8-12 hours a week to meet deadlines, but you can adjust to fit your lifestyle with 24/7 access to materials.
Experience with practical projects
Build confidence tackling real business problems with mentor feedback. In four projects (~120 learning hours), you'll leverage AI to address real-world challenges.
1:1 mentoring and peer-to-peer learning
Receive detailed feedback from mentors and peers. Review others’ work to enhance skills, gain new perspectives, and build confidence.
AI tools and languages you’ll use
Program outline
This course, created by AI professionals, combines intensive sprints with practical, hands-on projects. Each sprint focuses on key areas of AI engineering, guiding you from foundational skills to building real-world applications.
01
Foundations of LLM Application Development
Lay the groundwork for developing Large Language Model (LLM) applications with a focus on understanding their capabilities and ethical implications. This sprint introduces you to key LLM concepts, such as prompt engineering and LLM settings, development environment in Python or JavaScript. Through hands-on labs, you’ll explore APIs like OpenAI, Anthropic, and other APIs, and practice crafting and optimizing effective prompts. By the end of this sprint, you’ll have a solid understanding of how to harness LLMs responsibly and effectively for real-world applications.
02
Building Applications with LangChain, RAGs, and Gradio
Dive deeper into the world of LLM-powered applications by learning to integrate external knowledge and build interactive tools. This sprint focuses on LangChain and its capabilities for enhancing LLM workflows, Retrieval-Augmented Generation (RAG) for accessing external data, and vector databases like ChromaDB for storing and retrieving embeddings. You’ll gain hands-on experience with building structured outputs, prototyping chatbots. The sprint culminates in using LangChain and Gradio to create applications that combine LLMs with real-world data, preparing you to build cutting-edge AI solutions.
03
AI Agents
Master the art of creating AI agents that can perform complex, automated tasks. This sprint introduces you to the fundamentals of AI agents, from basic chains to advanced agents capable of executing code, interacting with APIs, and performing long-term tasks. You’ll also explore memory mechanisms that enable agents to retain context over time. With hands-on labs and a final project, this sprint equips you to design and deploy intelligent, autonomous systems tailored to specific goals.
Turn your AI ideas into startups
Interested in founding an AI startup? Learners of the AI Engineering Program can join our exclusive AI Accelerator, powered by Firstpick, to transform their innovative ideas into successful businesses. Whether you’re just starting or need the support to grow, this accelerator addresses the biggest challenges aspiring founders face.
Secure funding
Gain essential business and entrepreneurial skills
Find the right co-founder
Build connections
Learn from professionals
Our Senior Team Leads and mentors are experienced professionals who are 100% up-to-date with the industry trends and will provide you consultations, 1on1 project reviews, and feedback.
Flexible graduation: you set the pace
Our learners work at
How to get in
Our application process consists of three steps.
Application
You’ll complete an application form, sharing your personal and academic background with us.
Video/audio recording
You’ll record your answers to a set of questions that will help us assess if the program is the right fit for you.
Interview
Finally, you’ll have an interview call with our admissions manager.
Admission criteria:
Dedication of 8-12 focused hours per week
Focused hours are:
- Working on a computer (not a smartphone)
- Uninterrupted working time in a dedicated space
- Rested, not overworked (not after intense cognitive work).
Clear motivation
You need to have a clear and strong motivation for joining this program, with specific goals and reasons for wanting to enhance your skills.
Coding experience
You need to have a minimum of 1 year of coding experience with Python or Javascript.
Fluent in English
You must demonstrate an English proficiency of at least B2 level to join the program.
Up-to-date computer
You will need a computer that allows you to freely install tools and has an actively supported and updated operating system.
Flexible financing options
We have limited seats. Apply now!
Starting dates
January 13th
Deadline for applications:
January 6, 2025
February 10th
Deadline for applications:
February 3, 2025
Our graduates have achieved life changing growth. You can too.
Turing College was a totally different learning experience, with lots of personal attention and a very inspiring attitude to every person.
Learners from
Turing College changed my life forever! Studying at Turing College was one of the best things that happened to me.
Linda Oranya
Data scientist @ Metasite Data Insights
After the course, I was able to get into work and solve real business problems easily.
Ovidijus Kuzminas
ML engineer @ Oxus.AI
Turing College provides practical online education on my schedule. Thanks to that, I have changed my career without impacting time spent with my family.
Dominika Szulc
Junior ML Engineer @ Future Processing
The sole fact that I joined Digital Marketing program by Turing College was a contributing factor to me getting a job.
Justas Sadauskas
Account Manager @ Defined Chase
I have finished two universities, and studied in most of the major online platforms to get extra certificates. And Truing College is one of the most advanced place so far.
Ignas Lukosevicius
Junior Media Buyer @ Pulsetto
Turing College is for those who want to master data science.
Edvard Sivickij
Data Analyst @ Kilo Health
FAQ
What if I haven’t heard from Turing College within 24 hours of applying?
If it's been more than 24 hours since you submitted your application and you haven't received a response from us, here's what you can do:
Check your spam/promotions folder. Sometimes our emails can get lost, so take a look to see if our message ended up there by mistake.Reach out to us via live chat. You’re already on our website, so click on the chat button at the lower right-hand corner of your screen. Our friendly team is always ready to help you out and make sure your application gets the attention it deserves.
How likely am I to get a full scholarship?
Your chances of receiving a full scholarship depend on several factors:
- Motivation: You need to show strong motivation to create AI-driven solutions, either within your company or as part of your own startup.
- Commitment: You must have a clear intention to work full-time in the tech field or create your own startup after completing the program. Additionally, you need to dedicate at least 15 hours per week to your studies.
- Competition: Scholarships are awarded to the top 20 candidates. Your chances depend on how many applications we receive and how your performance in the interview compares to others.