short courseMastering Generative AI

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.

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Part-Time

6

weeks

remote

Remote

language

English

Program Overview

  • Learn the fundamentals of AI, machine learning, and Generative AI, including text, image, and audio models
  • Understand how large language models predict text, optimize chatbot interactions, and address ethical concerns
  • Gain hands-on experience building AI-powered applications using Replit, Google Scripts, and Python
  • Explore Retrieval-Augmented Generation (RAG), fine-tune GPT models, and implement AI security measures
  • Use Google Colab, Hugging Face, and APIs to integrate LLMs into real-world applications
  • Develop AI workflows without coding using LangFlow and ComfyUI to create user-friendly interfaces
  • Apply your knowledge in a final AI project while exploring AI’s impact in business and creative industries
Mastering Gen Ai Intro Video

Upcoming Dates

Course dates

Mar 11 - Apr 17

Apply by

Mar 10

Tuition

2'500 EUR

Format

Remote

Course dates

Jul 15 - Aug 21

Apply by

Jul 14

Tuition

2'500 EUR

Format

Remote

Course dates

Sep 30 - Nov 06

Apply by

Sep 29

Tuition

2'500 EUR

Format

Remote

Schedule

  • Tue

    Remote

    • 18.00 - 19.00Lecture
    • 19.00 - 21.00Practice
  • Thu

    Remote

    • 18.00 - 19.00Lecture
    • 19.00 - 21.00Practice

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.

Financing options

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.

Where our students get jobs

Get your dream job - we'll support you along the way!

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Axpo
Swiss International Air Lines
Google
Swisscom
Axa
Ergo Group
Ebay
Novartis
Adobe
Pagoda
Elca
Ginetta
Atos
Ippen Media
Roche
ETH Zurich
Pictet
Upc
Qualityminds
Avrios
APGSGA
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Web Republic
Synvert
Brack
UBS
Globus
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Web Republic
Synvert
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
Dormakaba
Comparis
Climeworks
Mediaire
Six Group
Swiss Re Group
SAP Software Solutions
Edge5
Smartfactory
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Leal Oburoglu

Leal Oburoglu

Went from Associate Researcher to Startup Founder at Sci.Alpha

Mastering Generative AI

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!

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What you will learn

  • Week 1

    Generative AI and LLMs fundamentals

    Session 1: Introduction to AI fundamentals and generative AI

    • Objective: Explore motivations for engaging with AI, understand the differences between AI, machine learning, and deep learning, and get introduced to fundamental Generative AI concepts
    • Key Takeaways: Understand why AI matters, the differences among learning types, and core Generative AI concepts like language and vision models, audio models, and AI career roles. Key concepts are reinforced through quizzes

    Session 2: AI chatbots and prompt engineering

    • Objective: Understand how AI chatbots work, focusing on Transformer architecture, prompt engineering, and model limitations
    • Key Takeaways: Compare AI chatbot platforms, grasp Transformer-based models, tokens, and prompt engineering basics, and identify issues like hallucinations and ethical challenges. Includes quizzes for review
  • Week 2

    Deep dive into generative AI tools & security

    Session 3: Hands-on LLM engineering

    • Objective: Move toward a software-engineering mindset for large language models. Write, debug, and experiment with code to build simple LLM-powered applications
    • Key Takeaways: Practice coding in Replit, create mini-projects, and prototype tools using Google Scripts to integrate LLMs

    Session 4: RAG, Custom GPTs, and AI Security

    • Objective: Explore Retrieval-Augmented Generation (RAG) architecture, local model deployments, GPT variants, and AI security measures
    • Key Takeaways: Learn vectorization, embeddings, and custom GPT creation, and review AI security threats like prompt injection with practical defenses
  • Week 3

    Gen AI engineering & UI integration

    Session 5: Google Colab, Python, and commercial/OSS LLMs

    • Objective: Use Python notebooks to work with open-source and commercial LLMs
    • Key Takeaways: Set up Colab for running LLMs, use Hugging Face and OpenAI APIs, and participate in live coding exercises

    Session 6: Developing user-friendly AI interfaces

    • Objective: Build chatbots with memory and create user-friendly AI interfaces
    • Key Takeaways: Learn LangChain basics, build chatbots with context retention, and explore UI design for optimal user experiences
  • Week 4

    No-code LLM engineering & ComfyUI

    Session 7: LLM engineering without writing code

    • Objective: Design LLM workflows and chatbots conceptually using no-code tools
    • Key Takeaways: Use LangFlow for visual workflows, refine conversational strategies, and explore real-world examples with optional exercises

    Session 8: ComfyUI Basics

    • Objective: Learn to build and deploy Generative AI interfaces with ComfyUI
    • Key Takeaways: Get an overview of ComfyUI’s tools, design user-friendly flows, and integrate AI features without coding
  • Week 5

    Generative creativity & business applications

    Session 9: Creative generative AI (no coding required)

    • Objective: Explore AI for music, image, and video creation with online tools
    • Key Takeaways: Experiment with text-to-music, text-to-image, and image-to-video tools, unlocking creative possibilities

    Session 10: Business model canvas & industry use cases

    • Objective: Apply AI solutions to real-world business strategies
    • Key Takeaways: Use the Business Model Canvas, analyze case studies in IT, health, and finance, and learn from successful AI startups
  • Week 6

    Final Project

    Session 11 & 12: Capstone project

    • Objective: Design and present a polished Generative AI solution with peer and instructor feedback
    • Key Takeaways: You will gain practical experience in the application of LLMs, prompt engineering, UI design and ethical considerations. You will also present your final solution and receive a portfolio project that demonstrates your skills

Application process

  • checkApply to the program here
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    Informative call with Constructor Academy (optional)

  • check

    Pay a deposit to secure your spot

  • check

    Complete your preparation work before the Bootcamp starts (beginners only)

  • check

    Start learning! 😊

FAQs

  • How is the day by day schedule?

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    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.

  • How is this course different from other self-paced online training?

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    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.

  • How does Constructor Academy's curriculum differ from other schools?

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    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.

  • What coding level do I need?

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    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.

  • Will I receive a certificate upon successfully completing the course/program?

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    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.

Certificate from top coding school

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.

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Upcoming events

Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.

  • Info session - Learn about our courses

    calendar26. Feb 25, 06:00 PM - 07:00 PM GMT+1

    map-pinOnline via Zoom

    Join our Info Session to learn about our intensive programs and short courses in Full-Stack Development, Data Science, Python, and Generative AI. Discover how our hands-on approach, expert instruction, and career support can help you break into or advance in the tech industry. Whether you're looking to upskill or make a career change, our programs are designed to equip you with in-demand skills. This is your chance to ask questions and find the right program for your goals. Register now to save your spot.

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Your instructors

Team Member

Dr. Ekaterina Butyugina

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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.

Team Member
company

Pablo Aumente Gallego

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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.

Team Member

Matteo Ghilotti

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Senior Data Scientist and Instructor

Matteo Ghilotti, a data expert with dual Master’s degrees, specializes in AI, Machine Learning, and Data Science. With 10+ years of experience, he combines technical expertise with business acumen to solve complex problems. Passionate about innovation, he excels in cross-functional teams, applying his skills in Business Intelligence, Software Engineering, and Financial Markets.

Team Member
company

Elena Labzina

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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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