AI Engineering Fundamentals Training Course

This course uses a practical approach to teaching OptaPlanner. It provides participants with the tools needed to perform the basic functions of this tool.

This is a classroom based training session in a presentation and Q&A format

This instructor-led, live training in Belgium (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities.

By the end of this training, participants will be able to:

• Install and configure UiPath IPA.
• Enable robots to manage other robots.
• Apply computer vision to locate screen objects with accuracy.
• Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.

This instructor-led, live training in Belgium (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment.

By the end of this training, participants will be able to:

• Automate unit test generation and parameterization with AI.
• Apply machine learning learning in a real world use-case.
• Automate the generation and maintenance of API tests with AI.
• Use machine learning methods to self-heal the execution of Selenium tests.

This is a 5 day introduction to Data Science and Artificial Intelligence (AI).

The course is delivered with examples and exercises using Python 

This instructor-led, live training in Belgium (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights.

By the end of this training, participants will be able to:

• Leverage AI software to improve the way brands connect to users.
• Use chatbots to optimize the user-experience.
• Increase productivity and revenue through the automation of tasks.

This instructor-led, live training in Belgium (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

By the end of this training, participants will be able to:

• Install and configure Cloud Pak for Data.
• Unify the collection, organization and analysis of data.
• Integrate Cloud Pak for Data with a variety of services to solve common business problems.
• Implement workflows for collaborating with team members on the development of an AI solution.

This instructor-led, live training in Belgium (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.

By the end of this training, participants will be able to:

• Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
• Implement search algorithms and motion planning.
• Implement PID controls to regulate a robot's movement within an environment.
• Implement SLAM algorithms to enable a robot to map out an unknown environment.

This instructor-led, live training in Belgium (online or onsite) is aimed at managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

In this instructor-led, live training in Belgium (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

• Understand the key concepts used in robotic technologies.
• Understand and manage the interaction between software and hardware in a robotic system.
• Understand and implement the software components that underpin robotics.
• Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
• Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
• Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
• Implement search algorithms and motion planning.
• Implement PID controls to regulate a robot's movement within an environment.
• Implement SLAM algorithms to enable a robot to map out an unknown environment.
• Test and troubleshoot a robot in realistic scenarios.

In this instructor-led, live training in Belgium (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

• Understand the key concepts used in robotic technologies.
• Understand and manage the interaction between software and hardware in a robotic system.
• Understand and implement the software components that underpin robotics.
• Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
• Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
• Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
• Implement search algorithms and motion planning.
• Implement PID controls to regulate a robot's movement within an environment.
• Implement SLAM algorithms to enable a robot to map out an unknown environment.
• Extend a robot's ability to perform complex tasks through Deep Learning.
• Test and troubleshoot a robot in realistic scenarios.

This instructor-led, live training in Belgium (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.

By the end of this training, participants will be able to:

• Understand the principles and benefits of Bing AI.
• Identify the AI-powered features within Bing and their applications.
• Utilize Bing AI to enhance search results and user experiences.
• Evaluate the potential of AI in search engine optimization (SEO) and content creation.
• Explore chatbot technologies and their applications, including Bing AI Chatbot.

This instructor-led, live training in Belgium (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

By the end of this training, participants will be able to:

• Learn the concept of Artificial Intelligence (AI).
• Understand the limits and dangers of AI and use it responsibly.
• Know how to effectively use AI in real-world scenarios.

This instructor-led, live training in Belgium (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

By the end of this training, participants will be able to:

• Explain the basic concepts and principles of AI and how it can be applied to driving.
• Understand the architecture and components of intelligent driving systems.
• Create and visualize a composite driving model from different design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and control driving schedules and costs.

This instructor-led, live training in Belgium (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.

By the end of this training, participants will be able to:

• Grasp the key concepts and importance of AI trust, risk, and security management.
• Identify and mitigate risks associated with AI systems.
• Implement security best practices for AI.
• Understand regulatory compliance and ethical considerations for AI.
• Develop strategies for effective AI governance and management.