Would you more details about specific courses?
Or do you want to sign up? We would be happy to advise you further!
Courses at and with adnexo
Join us and become an IoT pro. We run practical courses in the fields of machine learning and the Internet of Things. We pay particular attention to your requirements for your further professional development.
Webinar: Webtacho and HVC (LSVA) 3
2024 course dates
Thursday 8 August
Time: 08:30
Duration: approx. 30 minutes
Speaker: Tobias Koch
1. Welcome and introduction
2. Overview of adnexo and ax-track
- Who are we?
- What is ax-track?
3. ax-Webtacho
- What is ax-Webtacho?
- The advantages of ax-Webtacho?
4. HVC (LSVA) III
- What is the HVC (LSVA) III?
- What is the timetable for HVC (LSVA) III?
- Why the HVC (LSVA) III with adnexo?
5. Questions and open discussion
We look forward to you seeing you there!
Webinar: Low Power Wide Area Networking (LoRaWAN) vs. Bluetooth: A comparison of the technologies
2024 course dates
Date available upon request
Time: 08:30
Duration: approx. 40 minutes
Speaker: Christian Fässler
Content
1. Welcome and introduction
2. Overview of LoRaWAN
- What is LoRaWAN?
- How does LoRaWAN work?
- Examples of use for LoRaWAN
- Limits of LoRaWAN
3. What is Bluetooth LE?
- How does Bluetooth LE work?
- Examples of use for Bluetooth LE
- Limits of Bluetooth
4. Comparing LoRaWAN and Bluetooth
- Scope: Differences in coverage
- Data rate: Transmission speed
- Energy consumption: Efficiency in battery mode
- Comparing applications
5. Questions and open discussion
- What are the benefits of taking part?
- Expertise: Expert insight into the two technologies
- Clarifying doubts: Understanding differences and applications
- Networking: Chat with other participants and experts
- Q&A session with our team of experts
You will then receive a summary of the most important points by e-mail.
We look forward to you seeing you there!
LoRaWAN expert
2024 course dates:
12/09/2024
Speaker: Christian Fässler
Location: Zürich, Switzerland
Content
1. Basics of wireless communication
- Signal dispersion / Frequencies / Channels / Scope
- Link budget
- Disruptive influences
2. LoRaWAN
- Bandwidth / Spreading factors / Data rate
- Data frame structure
- Up- vs Downlinks
3. Security
- Encryption
- OTAA vs ABP activation
4. LoRaWAN in practice
- Signal weighting (RSSI SNR ESP)
- ADR
5. Reception measurements
- Analysing and discussing measuring points
- Site survey with the adnexo Signal Quest tool
On the one hand, we teach the theory, but we also attach great importance to practice. Participants can immediately apply and test what they have learned in our laboratory environment. We focus on specific customer projects in our customised workshops.
Workshops require at least 3 participants. The course costs amount to a daily flat rate of 990.00 CHF per person. We are happy to work out a flat rate for companies.
IoT Communications workshop
This workshop is aimed at project managers, IT professionals and IT architects who are involved in the planning and design of IoT systems.
You will gain a detailed insight into the Internet of Things in this workshop and get to grips with the next stage of automation - Industry 4.0. On the first day of the course, you will familiarise yourself with the various IoT wireless technologies, their areas of application and their advantages and disadvantages. The second day of the course provides an overview of the various application layer protocols, IoT security aspects and the IoT architecture in the cloud.
In addition to the theoretical basics, you will gain practical experience in hands-on labs.
The workshop requires at least 5 participants. Course dates to follow.
Six-day course on machine learning in practice
This course is aimed at developers, IT professionals and IT architects who want to familiarise themselves with the conception and application of machine learning. Basic programming skills are required.
1. Module: Python
- During two days you will learn the basics of the Python programming language, working with and visualising structured data in Python.
2. Module: Machine Learning Pipeline
- You will learn about data preparation over the course of two days: From a simple data set to automatic calculation.
3. Module: Machine Learning Algorithms
- Over the course of two days, you will receive in-depth training in machine learning algorithms.
The course requires at least 5 participants. Course dates to follow.
CAS .NET Industrial
Christian Fässler teaches as a lecturer at the University of Applied Sciences of Eastern Switzerland. CAS .NET Industrial is aimed at specialists and domain experts with up to intermediate experience in object-oriented software development. Christian will talk about IoT applications, Windows IoT Core with UWP Apps, the introduction to Machine Learning and Azure IoT Services.
You can find out more at: OST Eastern Switzerland | University of Applied Sciences
CAS Machine Learning for Software Engineers
Christian Fässler teaches as a lecturer at the University of Applied Sciences of Eastern Switzerland. The CAS Machine Learning for Software Engineers is aimed at software developers and development managers of small software companies who still write code themselves.
You can find out more at: OST | Eastern Switzerland University of Applied Sciences
Personalised courses or workshops
Would you like to develop yourself further in a specific area, either alone or together with your team? Then we will be happy to put together a personalised course offer for you.
AI course - 360° view for go-getters
Do you already have a good understanding of what AI can do and don't just want to talk?
What you can expect:
-
You will identify the company-specific use cases with the highest return on investment (ROI).
-
You know the pitfalls of implementation and, as such, you know the path of least resistance.
-
You can start with the first proof of concept straight away.
Learn more about the AI course here.
AI COURSE 360-degree view for go-getters: 1-Day Machine Learning Workshop
This course is for go-getters, software developers in an SME, consultants or self-employed people who are seeking a short but intensive and implementation-orientated introduction to machine learning.
You will learn about the challenges of implementation and bringing a model into production during this intensive course day.
2024 course dates
27 September
28 September
22 November
23 November
Time: 08:30 to approx. 18:00
Speakers: Christian Fässler, Martin Stypinski, Philip Wels
Content
1. Arrival at Ittingen Charterhouse (coffee and gipfeli)
2. General introduction to machine learning
3. Training classical algorithms
4. Lunch at the Charterhouse
5. Introduction to neural networks
6. Mini-implementation with FastAPI
7. Define use cases and convince people (30-minute breakout session)
Your benefits:
- Learn how to implement a model and identify the
pitfalls in just one day. - Put a model into practice in half a day.
- Be supported by expereinced ML specialists (developers of
algorithms and ML ops, lecturers at the OST and trainers at ML-conferences in Berlin). - For only 390 CHF (instead of 850 CHF) if you register before 17 May.
Register now!
