- AI Foundations: Explore AI, machine learning, and deep learning fundamentals and their key differences.
- Generative AI: Get introduced to core concepts including language models, vision models, and audio models.
- AI Landscape: Understand why AI matters, learning types, and career roles in the AI industry.
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.
Part-Time
weeks
Remote
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
Upcoming dates
Course dates
May 26 - Jul 02
Apply by
May 25
Tuition
2'500 EUR
Format
Remote
Course dates
Sep 08 - Oct 15
Apply by
Sep 07
Tuition
2'500 EUR
Format
Remote
Looking for financing? Check out our financing options.
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 Nexademy, 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.
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!❞
What you will learn
Day 1
Introduction to AI fundamentals and generative AI
Day 2
AI chatbots and prompt engineering
- Transformers: Understand how AI chatbots work with Transformer architecture and token processing.
- Prompt Engineering: Learn prompt engineering basics and compare AI chatbot platforms.
- Limitations: Identify hallucinations, reasoning gaps, and ethical challenges in AI models.
Day 3
Hands-on LLM engineering
- LLM Engineering: Adopt a software-engineering mindset for building LLM-powered applications.
- Hands-On Coding: Write, debug, and experiment with code in Replit to create mini-projects.
- Prototyping: Prototype tools using Google Scripts to integrate LLMs into workflows.
Day 4
RAG, Custom GPTs, and AI Security
- RAG Architecture: Explore Retrieval-Augmented Generation with vectorization and embeddings.
- Custom GPTs: Create custom GPT models and explore local model deployments.
- AI Security: Review security threats like prompt injection and learn practical defenses.
Day 5
Google Colab, Python, and commercial/OSS LLMs
- Google Colab: Set up Python notebooks to run and experiment with LLMs.
- LLM APIs: Work with Hugging Face and OpenAI APIs for open-source and commercial models.
- Live Coding: Participate in hands-on coding exercises integrating LLMs into applications.
Day 6
Developing user-friendly AI interfaces
- LangChain: Learn LangChain basics for building conversational AI applications.
- Chatbot Memory: Build chatbots with context retention and multi-turn conversation support.
- UI Design: Create user-friendly AI interfaces for optimal user experiences.
Day 7
LLM engineering without writing code
- LangFlow: Use LangFlow for visual workflow design without writing code.
- No-Code Chatbots: Design LLM-powered chatbots conceptually using drag-and-drop tools.
- Workflow Patterns: Refine conversational strategies and explore real-world workflow examples.
Day 8
ComfyUI Basics
- ComfyUI: Learn to build and deploy Generative AI interfaces with ComfyUI.
- Visual Flows: Design user-friendly flows and integrate AI features without coding.
- Image Generation: Create image generation pipelines with ComfyUI's node-based system.
Day 9
Creative generative AI
- Creative AI: Explore AI for music, image, and video creation with online tools.
- Text-to-Image: Generate images and artwork using text prompts and AI models.
- Multimedia: Experiment with text-to-music and image-to-video tools for creative projects.
Day 10
Business model canvas & industry use cases
- Business Strategy: Apply AI solutions to real-world business strategies using the Business Model Canvas.
- Case Studies: Analyze AI applications in IT, health, finance, and retail industries.
- AI Startups: Learn from successful AI startups and understand common pitfalls.
Day 11
Capstone project
- Capstone Project: Design and build a polished Generative AI solution from concept to presentation.
- Portfolio: Graduate with a portfolio project demonstrating LLM, prompt engineering, and UI design skills.
- Mentorship: Receive guidance from instructors to refine your project scope and implementation.
Day 12
Capstone project presentation
- Presentation: Present your final solution and receive feedback from peers and instructors.
- Demo: Showcase a live demonstration of your Generative AI application.
- Reflection: Review key learnings and discuss next steps for continued AI development.
Application process
Apply to the program hereInformative call with Constructor Nexademy (optional)
Pay a deposit to secure your spot
Complete your preparation work before the program starts (beginners only)
Start learning! 😊
FAQs
How is the day by day schedule?
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?
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?
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?
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?
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 Nexademy, 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.
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Constructor Nexademy Open Day: Zurich & Munich
21. Apr 26, 05:00 PM - 07:00 PM GMT+2 
Zurich & Munich campusAre you ready to level-up your career? Join us on April 21, from 17:00 to 19:00, at our campuses in Zurich and Munich for an immersive Open Day. With our next cohort kicking off this May, this is the perfect opportunity to explore our new programs and find the path that fits your ambitions. What’s on the Agenda: Explore Our New Programs: Be the first to learn about our newly introduced tracks designed for the modern tech stack: DevOps, LLMOps, and Web Development & AI. Discover Our Flagship Courses: Get an inside look at our renowned Data Science & AI program, as well as our specialized Python and Mastering Generative AI courses. The Career Edge: Learn about current trends in the tech job market. We’ll discuss how the evolution of AI is reshaping the industry and how our programs are designed to secure your long-term value. Meet the Experts: Connect directly with our instructors and hear firsthand accounts from alumni who have successfully transitioned into the tech world. Deep Dive Q&A: Get answers to all your questions regarding program content, our hands-on learning methodology, financing options, and career support. Don’t miss this chance to see how we can support your journey into the heart of tech. Secure your spot today!
Your instructors
Dr. Ekaterina Butyugina
Data Science Program Manager & Instructor
Dr. Ekaterina Butyugina is a Program Manager and Data Science Instructor at Constructor Nexademy. She brings over 10 years of experience in applied mathematics, computational science, and machine learning to her work with students and industry partners. With a background spanning academia and AI consulting for industry, she specializes in helping professionals develop practical skills in data science, machine learning, and AI strategy. She is dedicated to sharing her expertise on these topics with a hands-on, interactive approach to teaching.
Pablo Aumente Gallego
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.
Matteo Ghilotti
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.
Elena Labzina
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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