Unlocking the Power of AI: ML Fundamentals Bootcamp
November 25 – 26, 2024 | Berlin
CONFERENCE STARTS IN:
Bootcamp Program Day 1
Introduction to Machine Learning
Types of machine learning (supervised, unsupervised, reinforcement), Real-world applications of machine learning, The machine learning pipeline (data collection, preprocessing, feature engineering, model training, evaluation, deployment)
Hands-on: Classical Machine Learning Algorithm
Introduction to specific classical algorithms (e.g., KNN, Decision Trees), Overview of classical algorithms and their use-cases, Data preparation and exploration Advantages & Disadvantages of such methods
Lab session
Model training and evaluation, Interpretation of results, Algorithm optimization techniques, Practical considerations and challenges
Bootcamp Program Day 2
Recap of Day 1
Brief review of key concepts from the previous day, Q&A session
Introduction to Neural Networks
Neural network architecture (neurons, layers, activation functions), Training process (backpropagation, gradient descent), Overfitting and underfitting, Hands-on: Building a simple neural network, Using a popular deep learning framework (e.g., TensorFlow, PyTorch), Training the model on the same dataset as the previous day Evaluating the model's performance
Deep Dive into Neural Networks
Hyperparameter tuning, Regularization techniques, Model optimization, Hands-on: Experimenting with different neural network architectures
Introduction to FastAPI
Building a basic API with FastAPI, Integrating the trained model into the API, Deploying the API (locally or to a platform like Heroku), Testing the API, Close out the session and answer any last questions
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6 Reasons to attend the Bootcamp
1
Future-Proof Your Skills: Stay ahead in the fast-evolving tech landscape by understanding AI's role in software development
2
Hands-On Learning: Dive deep into Machine Learning essentials with practical examples tailored for software professionals
3
Tackle Real-World Challenges: Learn how to manage data quality and scale AI solutions in your projects
4
Discover AI Opportunities: Identify how AI can drive innovation and competitive advantage in your company
5
Expert-Led Insights: Gain valuable knowledge from industry experts and prepare for the AI-driven future.
6
Get the chance to discuss your individual applications for ML with experts
Trainer
Christian Fässler
Christian Fässler, the founder of adnexo GmbH in Zürich, is an entrepreneur in the field of engineering and lecturer for IoT and Machine Learning at the Ostschweizer Fachhochschule OST. His company specializes in providing IoT development services. With a diverse professional background, he has served numerous global clients across various industries, including cybersecurity, advertising, and automotive. His keen interest lies in exploring the potential of IoT applications and utilizing machine learning techniques to extract valuable insights from sensor data. Guided by his work philosophy: “The secret of getting ahead is getting started.”
Martin Stypinski
Martin Stypinski is the founder of Veemg GmbH in Zürich, a software engineering and consulting company, and the vice-dean of studies for the post-diploma degree in “Machine Learning for Software Engineers” at the Ostschweizer Fachhochschule in Rapperswil. Over the past fifteen years, he worked in multiple engineering positions in the software industry and applied research. He is passionate about Machine Learning and Software challenges “beyond CRUD”.
Elevate your Machine Learning journey by adding the MLcon to your schedule. While the ML Fundamental Bootcamp provides a solid foundation and hands-on experience, the conference offers a unique opportunity to expand your knowledge even further. Explore the latest advancements in ML, learn from industry leaders, and see how cutting-edge tools and strategies complement the skills you’ve developed in the bootcamp. By attending, you’ll gain a comprehensive understanding of ML’s impact across various domains, enabling you to apply these insights to real-world projects and stay ahead in the rapidly evolving tech landscape.
Take your machine learning skills to the next level with our intensive 2-day ML Fundamentals Bootcamp. Designed for software professionals, this workshop dives deep into supervised and unsupervised learning, big data complexities, and essential MLOps strategies. Unlike standard conference sessions, our hands-on approach empowers you to build and deploy your own machine learning models using industry-leading tools like TensorFlow and FastAPI. Enhance your expertise, stay competitive, and harness the power of AI for innovation in just two days.
Dates & Prices
The Bootcamp will be held in English.
Nov 25 -
26, 2024
Berlin
Prices from: 989 €
Info/Tickets×
Unlocking the Power of AI: ML Fundamentals Bootcamp
Martin Stypinski
Martin Stypinski is the founder of Veemg GmbH in Zürich, a software engineering and consulting company, and the vice-dean of studies for the post-diploma degree in "Machine Learning for Software Engineers" at the Ostschweizer Fachhochschule in Rapperswil. Over the past fifteen years, he worked in multiple engineering positions in the software industry and applied research. He is passionate about Machine Learning and Software challenges "beyond CRUD".
Christian Fässler
Christian Fässler, the founder of adnexo GmbH in Zürich, is an entrepreneur in the field of engineering and lecturer for IoT and Machine Learning at the Ostschweizer Fachhochschule OST. His company specializes in providing IoT development services. With a diverse professional background, he has served numerous global clients across various industries, including cybersecurity, advertising, and automotive. His keen interest lies in exploring the potential of IoT applications and utilizing machine learning techniques to extract valuable insights from sensor data. Guided by his work philosophy: "The secret of getting ahead is getting started."
Format
On-site participation offers an intensive learning experience and the opportunity to network.
Early Bird:
Register by 24 October and save up to €310!
Training schedule:
Monday, 09:00 - 17:00
Tuesday, 09:00 - 17:00
Martin Stypinski
Christian Fässler
Limited to:
20 Participants
Requirements
Basic Programming Knowledge: Participants should be comfortable with coding, preferably in Python, as it will be used for hands-on exercises.
Understanding of Software Development: A solid grasp of general software development practices, including version control and basic data structures, is essential.
Familiarity with Command Line Tools: Participants should be able to navigate and use command line interfaces for tasks like running scripts and managing environments.
Laptop with Pre-installed Tools: Attendees should bring a laptop with Python, a code editor (like VS Code), and libraries such as NumPy, Pandas, and TensorFlow installed. FastAPI should also be set up for the deployment segment.