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

  • Start by exploring the evolution of AI and its key tools
  • Deep-dive into large language models (LLMs) to understand their workings and revolutionary impact
  • Examine ChatGPT's architecture, training workflow and prompt engineering for practical problem-solving
  • Learn to build chatbots, search engines, and virtual assistants with Google Gemini Pro, OpenAI ChatGPT API, and HuggingFace LLMs
  • Discover Langchain and Streamlit to build Generative AI apps, leveraging tools like ChatGPT API and Chainlit
  • Unleash AI's creative potential in music, art, and content creation, and explore its transformation into business solutions
  • Apply acquired skills to a real-world mini-project, solidifying practical knowledge in AI development
Mastering Gen Ai Intro Video

Upcoming Dates

Course dates

Jan 14 - Feb 20

Apply by

Jan 13

Tuition

2'500 EUR

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.

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Where our students get jobs

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

Our Alumni Stories
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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
Sygnum
Web Republic
Synvert
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
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Comparis
Climeworks
Mediaire
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Edge5
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Sygnum
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 ChatGPT Fundamentals

    Session 1: Introduction to Generative AI

    • Objective: Gain foundational knowledge about the evolution of AI, understanding of Generative AI tools (e.g., ChatGPT, Stable Diffusion), and practical applications
    • Key Takeaways: History of AI, introduction to large language models (LLMs) and generative tools, understanding of open-source and commercial LLMs, and exploration of real-world applications

    Session 2: ChatGPT in Everyday Life and Business

    • Objective: Understand ChatGPT’s role in various scenarios, learn prompt engineering basics, and discuss bias and ethical considerations
    • Key Takeaways: Workflows of LLMs, advantages and limitations of ChatGPT, real-world applications, and insights into bias, ethics, and moderation in AI
  • Week 2

    Deep Dive into Generative AI Models

    Session 3: Anatomy of Generative AI Models

    • Objective: Learn about the architecture of different AI models and their applications
    • Key Takeaways: Understanding of RNNs, LSTMs, GRUs, and Transformer models, and practical applications of these technologies

    Session 4: - Unleash the potential of ChatGPT

    • Objective: Deep dive into ChatGPT architecture and training, with a focus on advanced prompt engineering
    • Key Takeaways: Insights into the architecture and training of ChatGPT, advanced prompt engineering techniques, and real-world applications
  • Week 3

    Generative AI Application Development - I

    Session 5: Building Applications with LLMs

    • Objective: Learn to use APIs from Google Gemini, OpenAI, and HuggingFace for building applications
    • Key Takeaways: Setting up developer accounts, conversing with LLMs via APIs, prompt engineering, and building interactive chatbots

    Session 6: - Building Applications with Open AI ChatGPT API - II

    • Objective: Further exploration into building applications using OpenAI’s APIs
    • Key Takeaways: Development of real-world applications, including Q&A search and chatbot assistants
  • Week 4

    Generative AI Application Development - II

    Session 7: LLM Development with ChatGPT and Langchain - I

    • Objective: Introduction to Langchain for building LLM applications
    • Key Takeaways: Understanding Langchain’s components, developing chatbots, and MRKL systems with AI agents

    Session 8: LLM Development with Langchain - II

    • Objective: Advanced application development using Langchain and ChatGPT
    • Key Takeaways: Building basic to advanced chatbots, restaurant order assistants, and Q&A search bots with RAG systems
  • Week 5

    Application in arts and business

    Session 9: Unleashing the creative potential of Generative AI

    • Objective: Explore the creative applications of Generative AI in music, art, video, and content creation
    • Key Takeaways: Understanding AI’s role in creative industries and hands-on experience with AI tools for artistic creation

    Session 10: Commercializing Generative AI Projects

    • Objective: Learn to translate AI capabilities into business solutions
    • Key Takeaways: Understanding the Business Model Canvas, AI applications across various industries, and case studies of successful AI startups
  • Week 6

    Final Project

    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.

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

    calendar04. Dec 24, 06:00 PM - 07:00 PM GMT+1

    map-pinOnline via Zoom

    Join us on Wednesday, December 4th, 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 a 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 now to secure your spot in the info session. We look forward to seeing you soon!

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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

Adriano Persegani

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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.

Team Member
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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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