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Transform your career with EU Global!
MASTERCAMP:
RoboVision Pro - Mastering Robotics & AI for Automation
The Mastery Bootcamp: RoboVision Pro is an intensive 10-week program designed to equip you with the skills and knowledge to excel in the field of robotics and artificial intelligence. Through this program, you'll gain expertise in the RoboVision Pro software, a powerful tool for developing automation solutions. You'll be guided by industry experts and gain the practical skills needed to pursue a rewarding career in this exciting field.
Book the date: Sundays 2nd May
Fee: Starting 99 Euros*
Key details
- Duration: 20 Hours
- Schedule: Sundays, 11 AM-13PM CET, from 17th May 2024
- Language: English
- Mode: Online Live, recordings provided
- Pre-workshop Course Access via E-campus
- Credits: Certificate of Achievement - Swiss Eduqua Certified
- Optional Add-on: Python Course
- Optional Add-on: Personal Project Consulting
LinkedIn Shareable Certificate
Earn a verifiable certificate from European Global Institute of Innovation & Technology (EU Global), Malta and proudly share certificate on your LinkedIn and be our Alumni. The certificate is co-presented by European School of Data Science & Technology, which is a Swiss EduQua Certified School.
Why You Should Enroll?
Pre-Mastercamp Course
All learners will be provided access of a pre-mastercamp online course which covers the:
Unit 1: Introduction to ROS
Unit 2: Installation
Unit 3: Practical Application
Unit 4: Movelt
Unit 5: Project & Integration
Unit 6: Assignment
Introduction to the Course
“A breakthrough in Machine Learning would be worth 10 Microsofts”
Bill Gates!
Course Content
- Welcome and Icebreaker: Let’s kick things off with a warm welcome! Take a moment to introduce yourself and share your interests.
- Overview of Machine Learning: I’ll provide you with a simple, non-technical explanation of what machine learning is and how it impacts our daily lives.
Session 1: Understanding Machine Learning (30 minutes)
- Let’s dive into the basics. I’ll explain what machine learning is and give examples to make it easy to grasp.
- We’ll explore the different types of machine learning, like supervised, unsupervised, and reinforcement learning.
- Ever heard of no-code ML tools like Google AutoML or IBM Watson Studio? I’ll show you how to use them without any coding.
- I’ll demonstrate creating a simple model or analysis using one of these tools.
Short Break (10 minutes)
- Time to take a breather! Stretch, grab a snack, and get ready for the next session.
Session 2: Hands-On Activity (45 minutes)
- Let’s talk about virtual labs and why they matter in learning. I’ll introduce a pre-built virtual lab environment for machine learning tasks.
- You’ll get hands-on experience with a no-code tool we discussed earlier.
- I believe in learning by doing. We’ll discuss a mini-project related to a real-world problem.
- I’ll provide you with data and guide you through applying the tools to gain insights.
Discussions and Conclusion (35 Minutes)
- Time to share experiences! We’ll discuss the challenges you faced during the hands-on activity and address any questions.
- I’m curious to hear your thoughts on the potential applications of machine learning in different industries.
- Let’s wrap things up. I’ll summarize the key takeaways from our time together.
- I’ll share additional resources for those eager to learn more and suggest joining a community or forum for ongoing support.
- Thank you all for your engagement! If you have further questions, here’s how you can reach out.
- I’d love to hear your feedback for future improvements.
About EU Global (30 Minutes)
- Our foundation
- Accreditations
- Partners
- Didactic Model
- Online programs
- On-campus programs
- Hybrid programs
- Thank you all for your engagement! If you have further questions, here’s how you can reach out.
- We would love to hear your feedback for future improvements.
About Mohammad Asif
An accomplished software engineer, Mohammad Asif has built an extensive career characterized by a deep understanding of software design, architecture, and cloud engineering. He boasts a dynamic range of experience in developing full-stack applications with a test-driven development approach across various domains, including Automotive, IIoT, Robotics, and VR/AR/MR. His passion for coding spans from the nuances of hardware to the art of data visualization, demonstrating a unique versatility and a relentless pursuit of innovation.
Asif's professional journey took a significant leap forward during his tenure as a researcher at Technical University Chemnitz. Over two years, he delved into Robotics, focusing on Human-Robot Interaction and Factory Planning. This period was marked by profound exploration and substantial contributions to the academic community, laying the groundwork for future technological advancements.
The drive to innovate led Asif to IAV's (Volkswagen Group) R&D department, where he served as an Expert in Full Stack Robotics for 3.5 years. In this capacity, he was instrumental in the development of a patented Strawberry Harvester Robot, leading a team of 20 with his vision and expertise. This project, among others, underscored his commitment to advancing the field of robotics, evidenced by his active
Bootcamp Timeline
