You’ve probably heard about ChatGPT, Gemini, DALL-E 3, GitHub Copilot, Midjourney or other AI powered tools. Would you like to learn how they are built, and how to integrate them into other applications? How about writing prompt patterns that will unleash the full potential of ChatGPT? Look beyond the hype and FoMO, join our course and find out what Generative AI and Prompt Engineering are all about.
Part-Time
weeks
Remote
English
Course dates
Jan 14 - Feb 20
Apply by
Jan 13
Tuition
2'500 EUR
Format
Remote
Looking for financing? Check out our financing options.
Schedule
Remote
Remote
LectureLearn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.
PracticeWork on a set of interesting and challenging exercises related to the topics covered in the previous lesson.
At Constructor Academy, we believe that finances should never be a barrier to accessing the education and training that can help individuals achieve their goals. That's why we offer a variety of financing options to make our courses more accessible to a diverse range of students. We also work with external organizations that provide financial assistance to those in need.
Went from Associate Researcher to Startup Founder at Sci.Alpha
❝I definitely recommend this course. I think everyone, at any career stage, should take it. The sooner we learn about generative AI, the better, as it will continue to expand rapidly!❞
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Solve real world problems.
Experience the complete process: from defining your business problem, exploring the data, applying suitable Generative AI techniques, to finally delivering a functional prototype.
Get coached and present your work.
Apply to the program hereInformative call with Constructor Academy (optional)
Pay a deposit to secure your spot
Complete your preparation work before the Bootcamp starts (beginners only)
Start learning! 😊
Every course starts with a 60-70 mins introduction to a new topic, followed by 2 hours of guided exercises with the help of our teachers and teaching assistants. During Q&A sessions (on Mondays and 20 minutes before each course), you are totally free to connect and ask any questions on Python Programming, either on the course and exercises, or for your personal projects.
Most self-paced courses are a good place to start. They do not, however, go into the depth of problems early-stage programmers face in their day-to-day coding life nor do they get help when it really matters.That’s not the Constructor Academy philosophy. We’re here for you. Each and every learner gets the attention they deserve from our experienced staff of instructors and mentors.
Constructor Academy has trained more than 1000+ Full-Stack Engineers and Data Scientists. This has provided the Constructor Academy team an in-depth understanding of what skills are most in-demand in the market and which parts of technology are of highest importance when working with data.
Creativity, logical thinking, and reasoning skills are most important. Having basic knowledge of a programming language, like Python, as well as a basic understanding of data analysis, machine learning, and NLP, is useful. If you're a complete tech novice, you'll receive introductory materials designed for a 7-day completion, which will ensure you’re ready to fully participate in the course.
Yes, upon successfully completing the course or program, you will receive both a digital and a printed certificate from Constructor Academy. These certificates serve as official recognition of your achievement and can be used to enhance your resume, LinkedIn profile, or portfolio.
Get certified by Constructor Academy, one of the world's top coding academies. Share your certificate on social networks, CVs and more. Boost your career with the new skills that you gained.
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
08. Jan 25, 06:00 PM - 07:00 PM GMT+1
Online via Zoom
Join us on January 8, from 6 p.m. to 7 p.m. for an engaging info session about Constructor Academy. We will provide an overview of our Data Science and Full-Stack intensive programs, along with brief introduction to our short courses, including Python and Mastering Generative AI. You'll gain insights into our curriculum, career outcomes, and the admissions process. Don't miss this opportunity to learn more about our programs and take the first step toward a fulfilling new career in technology. Register here to secure your spot in the info session. We look forward to seeing you soon!
Data Science Program Manager & Instructor
Ekaterina studied mathematics at university and worked as Junior Researcher in Russia where she did her PhD in Continuum Mechanics. Looking for the opportunity to find something close to science but more dynamic and applicable to real life, she joined the Data Science program, then stayed on as a TA and later joined the team as a Data Science Consultant. She likes to work with data and apply both analytical and creative approaches, trying new techniques and sharing them with other people.
Founder and Generative AI Instructor
Pablo Aumente, an experienced architect with over 15 years in the field, graduated from ETSA Sevilla and holds a MAS in Architecture from ETH Zürich. His career includes work with Santiago Calatrava and several Swiss firms. In 2023, he founded Brave Studio GmbH, focusing on integrating technology in architecture. Aumente is also dedicated to making architectural knowledge accessible and enjoys art and sports.
Generative AI Program Manager & Data Science Consultant
Adriano Persegani, a data scientist with a computer science background, specializes in AI. He excels in applying AI tools and methods to projects, leveraging his expertise in data analysis, deep learning, and NLP. Adriano seamlessly connects technical and non-technical realms to ensure project success and is eager to contribute his AI knowledge to innovative teams driving business development.
Generative AI and ChatGPT Instructor
With her roots in political science and statistics, she has navigated towards the confluence of computational and social sciences, driven by an interest in the digital influence on social media. Her expertise spans applied machine learning and artificial intelligence, focusing on areas like causal inference, knowledge retrieval, and deep learning. She excels in developing data structures and processes to enhance understanding and decision-making in the face of digital society's challenges. Through her work, she addresses the complex interplay between technology, data, and human behavior, contributing to both technological innovation and societal insights.
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